| 2026 | ACL | XToM: Exploring the Multilingual Theory of Mind for Large Language Models. | Chunkit Chan, Yauwai Yim, Hongchuan Zeng, Zhiying Zou, Xinyuan Cheng, Zhifan Sun, Zheye Deng, Kawai Chung, Yuzhuo Ao, Yixiang Fan, Cheng Jiayang, Ercong Nie, Ginny Y. Wong, Helmut Schmid, Hinrich Schtze, Simon See, Yangqiu Song |
| 2026 | ACL | Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning. | Yongkang Liu, Xingle Xu, Ercong Nie, Zijing Wang, Shi Feng, Daling Wang, Qian Li, Hinrich Schtze |
| 2026 | ACL | SAD: A Large-Scale Strategic Argumentative Dialogue Dataset. | Yongkang Liu, Jiayang Yu, Mingyang Wang, Yiqun Zhang, Ercong Nie, Shi Feng, Daling Wang, Kaisong Song, Hinrich Schtze |
| 2026 | ACL | Large Reasoning Models Are (Not Yet) Multilingual Latent Reasoners. | Yihong Liu, Raoyuan Zhao, Hinrich Schtze, Michael A. Hedderich |
| 2026 | ACL | Self-Evolving Multi-Agent Systems via Textual Backpropagation. | Xiaowen Ma, Yunpu Ma, Chenyang Lin, Sikuan Yan, Jinhe Bi, Zixuan Cao, Yijun Tian, Volker Tresp, Hinrich Schtze |
| 2026 | ACL | GKnow: Measuring the Entanglement of Gender Bias and Factual Gender. | Leonor Veloso, Hinrich Schtze |
| 2026 | ACL | PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMs. | Zijing Wang, Yongkang Liu, Mingyang Wang, Ercong Nie, Deyuan Chen, Zhengjie Zhao, Shi Feng, Daling Wang, Xiaocui Yang, Yifei Zhang, Hinrich Schtze |
| 2026 | ACL | Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation. | Qianli Wang, Van Bach Nguyen, Yihong Liu, Fedor Splitt, Nils Feldhus, Christin Seifert, Hinrich Schtze, Sebastian Mller, Vera Schmitt |
| 2026 | ACL | Why Do More Experts Fail? A Theoretical Analysis of Model Merging. | Zijing Wang, Xingle Xu, Yongkang Liu, Yiqun Zhang, Peiqin Lin, Shi Feng, Daling Wang, Xiaocui Yang, Hinrich Schtze |
| 2026 | ACL | Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning. | Sikuan Yan, Xiufeng Yang, Zuchao Huang, Ercong Nie, Zifeng Ding, Zonggen Li, Xiaowen Ma, Jinhe Bi, Kristian Kersting, Jeff Z. Pan, Hinrich Schtze, Volker Tresp, Yunpu Ma |
| 2026 | ACL | Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models. | Hengyuan Zhang, Zhihao Zhang, Ercong Nie, Mingyang Wang, Zunhai Su, Yiwei Wang, Qianli Wang, Shuzhou Yuan, Xufeng Duan, Qibo Xue, Zeping Yu, Chenming Shang, Xiao Liang, Jing Xiong, Hui Shen, Chaofan Tao, Zhengwu Liu, Senjie Jin, Zhiheng Xi, Dongdong Zhang, Sophia Ananiadou, Tao Gui, Ruobing Xie, Hayden Kwok-Hay So, Hinrich Schtze, Xuanjing Huang, Qi Zhang, Ngai Wong |
| 2026 | ACL | Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors. | Raoyuan Zhao, Yihong Liu, Lena Altinger, Hinrich Schtze, Michael A. Hedderich |
| 2026 | EACL | Persistent Personas? Role-Playing, Instruction Following, and Safety in Extended Interactions. | Pedro Henrique Luz de Araujo, Michael A. Hedderich, Ali Modarressi, Hinrich Schtze, Benjamin Roth |
| 2026 | EACL | A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across Languages. | Raoyuan Zhao, Yihong Liu, Hinrich Schtze, Michael A. Hedderich |
| 2026 | LREC | How Far Can Bias Go? Tracing Bias from Pre-Training Data to Alignment. | Marion Thaler, Abdullatif Kksal, Alina Leidinger, Anna Korhonen, Hinrich Schtze |
| 2026 | WWW | GlotWeb: Web Indexing for Minority Languages. | Abdullah Al Sefat, Amir Hossein Kargaran, Franois Yvon, Hinrich Schtze |
| 2025 | ACL | LangSAMP: Language-Script Aware Multilingual Pretraining. | Yihong Liu, Haotian Ye, Chunlan Ma, Mingyang Wang, Hinrich Schtze |
| 2025 | ACL | Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models. | Mingyang Wang, Heike Adel, Lukas Lange, Yihong Liu, Ercong Nie, Jannik Strtgen, Hinrich Schtze |
| 2025 | ACL | Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual Evidence. | Mohsen Fayyaz, Ali Modarressi, Hinrich Schtze, Nanyun Peng |
| 2025 | ACL | Your Pretrained Model Tells the Difficulty Itself: A Self-Adaptive Curriculum Learning Paradigm for Natural Language Understanding. | Qi Feng, Yihong Liu, Hinrich Schtze |
| 2025 | ACL | Time Course MechInterp: Analyzing the Evolution of Components and Knowledge in Large Language Models. | Ahmad Dawar Hakimi, Ali Modarressi, Philipp Wicke, Hinrich Schtze |
| 2025 | ACL | Large Language Models as Neurolinguistic Subjects: Discrepancy between Performance and Competence. | Linyang He, Ercong Nie, Helmut Schmid, Hinrich Schtze, Nima Mesgarani, Jonathan Brennan |
| 2025 | ACL | How Programming Concepts and Neurons Are Shared in Code Language Models. | Amir Hossein Kargaran, Yihong Liu, Franois Yvon, Hinrich Schtze |
| 2025 | ACL | MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment. | Amir Hossein Kargaran, Ali Modarressi, Nafiseh Nikeghbal, Jana Diesner, Franois Yvon, Hinrich Schtze |
| 2025 | ACL | BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning. | Ercong Nie, Bo Shao, Mingyang Wang, Zifeng Ding, Helmut Schmid, Hinrich Schtze |
| 2025 | ACL | HYPEROFA: Expanding LLM Vocabulary to New Languages via Hypernetwork-Based Embedding Initialization. | Enes zeren, Yihong Liu, Hinrich Schtze |
| 2025 | ACL | Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu. | Renhao Pei, Yihong Liu, Peiqin Lin, Franois Yvon, Hinrich Schtze |
| 2025 | COLING | TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data. | Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schtze |
| 2025 | COLING | How Transliterations Improve Crosslingual Alignment. | Yihong Liu, Mingyang Wang, Amir Hossein Kargaran, Ayyoob Imani, Orgest Xhelili, Haotian Ye, Chunlan Ma, Franois Yvon, Hinrich Schtze |
| 2025 | EMNLP | On Relation-Specific Neurons in Large Language Models. | Yihong Liu, Runsheng Chen, Lea Hirlimann, Ahmad Dawar Hakimi, Mingyang Wang, Amir Hossein Kargaran, Sascha Rothe, Franois Yvon, Hinrich Schtze |
| 2025 | EMNLP | Tracing Multilingual Factual Knowledge Acquisition in Pretraining. | Yihong Liu, Mingyang Wang, Amir Hossein Kargaran, Felicia Krner, Ercong Nie, Barbara Plank, Franois Yvon, Hinrich Schtze |
| 2025 | EMNLP | Mechanistic Understanding and Mitigation of Language Confusion in English-Centric Large Language Models. | Ercong Nie, Helmut Schmid, Hinrich Schtze |
| 2025 | EMNLP | ImpliRet: Benchmarking the Implicit Fact Retrieval Challenge. | Zeinab Sadat Taghavi, Ali Modarressi, Yunpu Ma, Hinrich Schtze |
| 2025 | EMNLP | Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal Causes. | Mingyang Wang, Lukas Lange, Heike Adel, Yunpu Ma, Jannik Strtgen, Hinrich Schtze |
| 2025 | EMNLP | Do We Know What LLMs Don't Know? A Study of Consistency in Knowledge Probing. | Raoyuan Zhao, Abdullatif Kksal, Ali Modarressi, Michael A. Hedderich, Hinrich Schtze |
| 2025 | ICML | NoLiMa: Long-Context Evaluation Beyond Literal Matching. | Ali Modarressi, Hanieh Deilamsalehy, Franck Dernoncourt, Trung Bui, Ryan A. Rossi, Seunghyun Yoon, Hinrich Schtze |
| 2025 | IJCNLP | Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models. | Ercong Nie, Shuzhou Yuan, Bolei Ma, Helmut Schmid, Michael Frber, Frauke Kreuter, Hinrich Schtze |
| 2025 | IJCNLP | LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification. | Shuzhou Yuan, Ercong Nie, Lukas Kouba, Helmut Schmid, Hinrich Schtze, Michael Frber |
| 2025 | NAACL | Privacy-Preserving Federated Learning for Hate Speech Detection. | Ivo De Souza Bueno Jnior, Haotian Ye, Axel Wisiorek, Hinrich Schtze |
| 2025 | NAACL | XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples. | Peiqin Lin, Andr F. T. Martins, Hinrich Schtze |
| 2025 | NAACL | A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models. | Peiqin Lin, Andr F. T. Martins, Hinrich Schtze |
| 2025 | NAACL | Taxi1500: A Dataset for Multilingual Text Classification in 1500 Languages. | Chunlan Ma, Ayyoob Imani, Haotian Ye, Renhao Pei, Ehsaneddin Asgari, Hinrich Schtze |
| 2024 | ACL | MaskLID: Code-Switching Language Identification through Iterative Masking. | Amir Hossein Kargaran, Franois Yvon, Hinrich Schtze |
| 2024 | ACL | TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models. | Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schtze |
| 2024 | ACL | Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models. | Paul Rttger, Valentin Hofmann, Valentina Pyatkin, Musashi Hinck, Hannah Kirk, Hinrich Schtze, Dirk Hovy |
| 2024 | ACL | GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network. | Shuzhou Yuan, Ercong Nie, Michael Frber, Helmut Schmid, Hinrich Schtze |
| 2024 | COLING | MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank. | Verena Blaschke, Barbara Kovacic, Siyao Peng, Hinrich Schtze, Barbara Plank |
| 2024 | COLING | GlotScript: A Resource and Tool for Low Resource Writing System Identification. | Amir Hossein Kargaran, Franois Yvon, Hinrich Schtze |
| 2024 | COLING | SilverAlign: MT-Based Silver Data Algorithm for Evaluating Word Alignment. | Abdullatif Kksal, Silvia Severini, Hinrich Schtze |
| 2024 | COLING | Verbing Weirds Language (Models): Evaluation of English Zero-Derivation in Five LLMs. | David R. Mortensen, Valentina Izrailevitch, Yunze Xiao, Hinrich Schtze, Leonie Weissweiler |
| 2024 | COLING | UCxn: Typologically-Informed Annotation of Constructions Atop Universal Dependencies. | Leonie Weissweiler, Nina Bbel, Kirian Guiller, Santiago Herrera, Wesley Samuel Scivetti, Arthur Lorenzi Almeida, Nurit Melnik, Archna Bhatia, Hinrich Schtze, Lori S. Levin, Amir Zeldes, Joakim Nivre, William Croft, Nathan Schneider |
| 2024 | COLING | Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons. | Shijia Zhou, Leonie Weissweiler, Taiqi He, Hinrich Schtze, David R. Mortensen, Lori S. Levin |
| 2024 | EACL | mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models. | Peiqin Lin, Chengzhi Hu, Zheyu Zhang, Andr F. T. Martins, Hinrich Schtze |
| 2024 | EACL | ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. | Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Frber, Frauke Kreuter, Hinrich Schtze |
| 2024 | EACL | Kardeş-NLU: Transfer to Low-Resource Languages with Big Brother's Help - A Benchmark and Evaluation for Turkic Languages. | Ltfi Kerem Senel, Benedikt Ebing, Konul Baghirova, Hinrich Schtze, Goran Glavas |
| 2024 | ECAI | ChatZero: Zero-Shot Cross-Lingual Dialogue Generation via Pseudo-Target Language. | Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schtze |
| 2024 | EMNLP | HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy. | Yongkang Liu, Yiqun Zhang, Qian Li, Tong Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schtze |
| 2024 | EMNLP | LongForm: Effective Instruction Tuning with Reverse Instructions. | Abdullatif Kksal, Timo Schick, Anna Korhonen, Hinrich Schtze |
| 2024 | EMNLP | Consistent Document-level Relation Extraction via Counterfactuals. | Ali Modarressi, Abdullatif Kksal, Hinrich Schtze |
| 2024 | EMNLP | Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization. | Mingyang Wang, Lukas Lange, Heike Adel, Jannik Strtgen, Hinrich Schtze |
| 2024 | EMNLP | Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment. | Orgest Xhelili, Yihong Liu, Hinrich Schtze |
| 2024 | EMNLP | TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish. | Arda Yksel, Abdullatif Kksal, Ltfi Kerem Senel, Anna Korhonen, Hinrich Schtze |
| 2024 | EMNLP | SynthEval: Hybrid Behavioral Testing of NLP Models with Synthetic Evaluation. | Raoyuan Zhao, Abdullatif Kksal, Yihong Liu, Leonie Weissweiler, Anna Korhonen, Hinrich Schtze |
| 2024 | NAACL | OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining. | Yihong Liu, Peiqin Lin, Mingyang Wang, Hinrich Schtze |
| 2024 | NAACL | Rehearsal-Free Modular and Compositional Continual Learning for Language Models. | Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strtgen, Hinrich Schtze |
| 2023 | ACL | ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations. | Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schtze, Volker Tresp |
| 2023 | ACL | Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages. | Ayyoob Imani, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, Helmut Schmid, Andr F. T. Martins, Franois Yvon, Hinrich Schtze |
| 2023 | ACL | PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism. | Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schtze |
| 2023 | ACL | A Crosslingual Investigation of Conceptualization in 1335 Languages. | Yihong Liu, Haotian Ye, Leonie Weissweiler, Philipp Wicke, Renhao Pei, Robert Zangenfeind, Hinrich Schtze |
| 2023 | ACL | Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages. | Ercong Nie, Sheng Liang, Helmut Schmid, Hinrich Schtze |
| 2023 | ACL | How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives. | Xinpeng Wang, Leonie Weissweiler, Hinrich Schtze, Barbara Plank |
| 2023 | EMNLP | LLM-driven Instruction Following: Progresses and Concerns. | Wenpeng Yin, Qinyuan Ye, Pengfei Liu, Xiang Ren, Hinrich Schtze |
| 2023 | EMNLP | GlotLID: Language Identification for Low-Resource Languages. | Amir Hossein Kargaran, Ayyoob Imani, Franois Yvon, Hinrich Schtze |
| 2023 | EMNLP | Language Models with Rationality. | Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schtze, Peter Clark |
| 2023 | EMNLP | MEAL: Stable and Active Learning for Few-Shot Prompting. | Abdullatif Kksal, Timo Schick, Hinrich Schtze |
| 2023 | EMNLP | Language-Agnostic Bias Detection in Language Models with Bias Probing. | Abdullatif Kksal, Omer Faruk Yalcin, Ahmet Akbiyik, M. Tahir Kilavuz, Anna Korhonen, Hinrich Schtze |
| 2023 | EMNLP | Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs. | Yihong Liu, Haotian Ye, Leonie Weissweiler, Renhao Pei, Hinrich Schtze |
| 2023 | EMNLP | Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration. | Ercong Nie, Helmut Schmid, Hinrich Schtze |
| 2023 | EMNLP | GradSim: Gradient-Based Language Grouping for Effective Multilingual Training. | Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strtgen, Hinrich Schtze |
| 2023 | EMNLP | Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model. | Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban, Anna Cai, Ritam Dutt, Amey Hengle, Anubha Kabra, Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu, Hinrich Schtze, Kemal Oflazer, David R. Mortensen |
| 2023 | MSR | GIRT-Data: Sampling GitHub Issue Report Templates. | Nafiseh Nikeghbal, Amir Hossein Kargaran, Abbas Heydarnoori, Hinrich Schtze |
| 2023 | RANLP | Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach. | Ercong Nie, Helmut Schmid, Hinrich Schtze |
| 2022 | AAAI | Improving Scene Graph Classification by Exploiting Knowledge from Texts. | Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schtze, Volker Tresp |
| 2022 | ACL | An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers. | Valentin Hofmann, Hinrich Schtze, Janet B. Pierrehumbert |
| 2022 | ACL | Graph Neural Networks for Multiparallel Word Alignment. | Ayyoob Imani, Ltfi Kerem Senel, Masoud Jalili Sabet, Franois Yvon, Hinrich Schtze |
| 2022 | ACL | Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization. | Sanjeev Kumar Karn, Ning Liu, Hinrich Schtze, Oladimeji Farri |
| 2022 | ACL | Modular and Parameter-Efficient Multimodal Fusion with Prompting. | Sheng Liang, Mengjie Zhao, Hinrich Schtze |
| 2022 | ACL | Flow-Adapter Architecture for Unsupervised Machine Translation. | Yihong Liu, Haris Jabbar, Hinrich Schtze |
| 2022 | ACL | Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments. | Antonis Maronikolakis, Axel Wisiorek, Leah Nann, Haris Jabbar, Sahana Udupa, Hinrich Schtze |
| 2022 | ACL | CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment. | Ltfi Kerem Senel, Timo Schick, Hinrich Schtze |
| 2022 | ACL | CaMEL: Case Marker Extraction without Labels. | Leonie Weissweiler, Valentin Hofmann, Masoud Jalili Sabet, Hinrich Schtze |
| 2022 | EMNLP | Federated Continual Learning for Text Classification via Selective Inter-client Transfer. | Yatin Chaudhary, Pranav Rai, Matthias Schubert, Hinrich Schtze, Pankaj Gupta |
| 2022 | EMNLP | Graph-Based Multilingual Label Propagation for Low-Resource Part-of-Speech Tagging. | Ayyoob Imani, Silvia Severini, Masoud Jalili Sabet, Franois Yvon, Hinrich Schtze |
| 2022 | EMNLP | The better your Syntax, the better your Semantics? Probing Pretrained Language Models for the English Comparative Correlative. | Leonie Weissweiler, Valentin Hofmann, Abdullatif Kksal, Hinrich Schtze |
| 2022 | ICML | Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology. | Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schtze |
| 2022 | IJCNLP | Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging. | Sajad Mirzababaei, Amir Hossein Kargaran, Hinrich Schtze, Ehsaneddin Asgari |
| 2022 | ICWSM | The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse. | Valentin Hofmann, Hinrich Schtze, Janet B. Pierrehumbert |
| 2022 | LREC | Towards a Broad Coverage Named Entity Resource: A Data-Efficient Approach for Many Diverse Languages. | Silvia Severini, Ayyoob Imani, Philipp Dufter, Hinrich Schtze |
| 2022 | NAACL | Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity. | Valentin Hofmann, Xiaowen Dong, Janet B. Pierrehumbert, Hinrich Schtze |
| 2022 | NAACL | An Information-Theoretic Approach and Dataset for Probing Gender Stereotypes in Multilingual Masked Language Models. | Victor Steinborn, Philipp Dufter, Haris Jabbar, Hinrich Schtze |
| 2022 | NAACL | LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework. | Mengjie Zhao, Fei Mi, Yasheng Wang, Minglei Li, Xin Jiang, Qun Liu, Hinrich Schtze |
| 2021 | ACL | Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words. | Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schtze |
| 2021 | ACL | Dynamic Contextualized Word Embeddings. | Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schtze |
| 2021 | ACL | ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus. | Ayyoob Imani, Masoud Jalili Sabet, Philipp Dufter, Michael Cysouw, Hinrich Schtze |
| 2021 | ACL | A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters. | Mengjie Zhao, Yi Zhu, Ehsan Shareghi, Ivan Vulic, Roi Reichart, Anna Korhonen, Hinrich Schtze |
| 2021 | EACL | Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models. | Nora Kassner, Philipp Dufter, Hinrich Schtze |
| 2021 | EACL | Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference. | Timo Schick, Hinrich Schtze |
| 2021 | EACL | Language Models for Lexical Inference in Context. | Martin Schmitt, Hinrich Schtze |
| 2021 | EACL | Does She Wink or Does She Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models. | Lutfi Kerem Senel, Hinrich Schtze |
| 2021 | EMNLP | Graph Algorithms for Multiparallel Word Alignment. | Ayyoob Imani, Masoud Jalili Sabet, Lutfi Kerem Senel, Philipp Dufter, Franois Yvon, Hinrich Schtze |
| 2021 | EMNLP | BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief. | Nora Kassner, Oyvind Tafjord, Hinrich Schtze, Peter Clark |
| 2021 | EMNLP | Wine is not v i n. On the Compatibility of Tokenizations across Languages. | Antonis Maronikolakis, Philipp Dufter, Hinrich Schtze |
| 2021 | EMNLP | Few-Shot Text Generation with Natural Language Instructions. | Timo Schick, Hinrich Schtze |
| 2021 | EMNLP | Generating Datasets with Pretrained Language Models. | Timo Schick, Hinrich Schtze |
| 2021 | EMNLP | Continuous Entailment Patterns for Lexical Inference in Context. | Martin Schmitt, Hinrich Schtze |
| 2021 | EMNLP | Discrete and Soft Prompting for Multilingual Models. | Mengjie Zhao, Hinrich Schtze |
| 2021 | ICDAR | Data Centric Domain Adaptation for Historical Text with OCR Errors. | Luisa Mrz, Stefan Schweter, Nina Prner, Benjamin Roth, Hinrich Schtze |
| 2021 | NAACL | Static Embeddings as Efficient Knowledge Bases? | Philipp Dufter, Nora Kassner, Hinrich Schtze |
| 2021 | NAACL | Multi-source Neural Topic Modeling in Multi-view Embedding Spaces. | Pankaj Gupta, Yatin Chaudhary, Hinrich Schtze |
| 2021 | NAACL | It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners. | Timo Schick, Hinrich Schtze |
| 2021 | NLDB | Semantic Text Segment Classification of Structured Technical Content. | Julian Hllig, Philipp Dufter, Michaela Geierhos, Wolfgang Ziegler, Hinrich Schtze |
| 2020 | AAAI | TRENDNERT: A Benchmark for Trend and Downtrend Detection in a Scientific Domain. | Alena Moiseeva, Hinrich Schtze |
| 2020 | AAAI | Rare Words: A Major Problem for Contextualized Embeddings and How to Fix it by Attentive Mimicking. | Timo Schick, Hinrich Schtze |
| 2020 | AAAI | Fine-Grained Argument Unit Recognition and Classification. | Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schtze, Iryna Gurevych |
| 2020 | ACL | Predicting the Growth of Morphological Families from Social and Linguistic Factors. | Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schtze |
| 2020 | ACL | A Graph Auto-encoder Model of Derivational Morphology. | Valentin Hofmann, Hinrich Schtze, Janet B. Pierrehumbert |
| 2020 | ACL | Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly. | Nora Kassner, Hinrich Schtze |
| 2020 | ACL | Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity. | Nina Prner, Ulli Waltinger, Hinrich Schtze |
| 2020 | ACL | BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance. | Timo Schick, Hinrich Schtze |
| 2020 | COLING | Increasing Learning Efficiency of Self-Attention Networks through Direct Position Interactions, Learnable Temperature, and Convoluted Attention. | Philipp Dufter, Martin Schmitt, Hinrich Schtze |
| 2020 | COLING | Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations. | Sheng Liang, Philipp Dufter, Hinrich Schtze |
| 2020 | COLING | Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification. | Timo Schick, Helmut Schmid, Hinrich Schtze |
| 2020 | COLING | Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction. | Silvia Severini, Viktor Hangya, Alexander M. Fraser, Hinrich Schtze |
| 2020 | CoNLL | Are Pretrained Language Models Symbolic Reasoners over Knowledge? | Nora Kassner, Benno Krojer, Hinrich Schtze |
| 2020 | EMNLP | TopicBERT for Energy Efficient Document Classification. | Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas A. Runkler, Hinrich Schtze |
| 2020 | EMNLP | Identifying Elements Essential for BERT's Multilinguality. | Philipp Dufter, Hinrich Schtze |
| 2020 | EMNLP | DagoBERT: Generating Derivational Morphology with a Pretrained Language Model. | Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schtze |
| 2020 | EMNLP | BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA. | Nora Kassner, Hinrich Schtze |
| 2020 | EMNLP | E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT. | Nina Prner, Ulli Waltinger, Hinrich Schtze |
| 2020 | EMNLP | Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA. | Nina Prner, Ulli Waltinger, Hinrich Schtze |
| 2020 | EMNLP | SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings. | Masoud Jalili Sabet, Philipp Dufter, Franois Yvon, Hinrich Schtze |
| 2020 | EMNLP | An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing. | Martin Schmitt, Sahand Sharifzadeh, Volker Tresp, Hinrich Schtze |
| 2020 | EMNLP | Quantifying the Contextualization of Word Representations with Semantic Class Probing. | Mengjie Zhao, Philipp Dufter, Yadollah Yaghoobzadeh, Hinrich Schtze |
| 2020 | EMNLP | Masking as an Efficient Alternative to Finetuning for Pretrained Language Models. | Mengjie Zhao, Tao Lin, Fei Mi, Martin Jaggi, Hinrich Schtze |
| 2020 | ICML | Explainable and Discourse Topic-aware Neural Language Understanding. | Yatin Chaudhary, Hinrich Schtze, Pankaj Gupta |
| 2020 | ICML | Neural Topic Modeling with Continual Lifelong Learning. | Pankaj Gupta, Yatin Chaudhary, Thomas A. Runkler, Hinrich Schtze |
| 2020 | LREC | Embedding Space Correlation as a Measure of Domain Similarity. | Anne Beyer, Gran Kauermann, Hinrich Schtze |
| 2020 | LREC | ThaiLMCut: Unsupervised Pretraining for Thai Word Segmentation. | Suteera Seeha, Ivan Bilan, Liliana Mamani Snchez, Johannes Huber, Michael Matuschek, Hinrich Schtze |
| 2019 | AAAI | Document Informed Neural Autoregressive Topic Models with Distributional Prior. | Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schtze |
| 2019 | AAAI | Neural Relation Extraction within and across Sentence Boundaries. | Pankaj Gupta, Subburam Rajaram, Hinrich Schtze, Thomas A. Runkler |
| 2019 | AAAI | Learning Semantic Representations for Novel Words: Leveraging Both Form and Context. | Timo Schick, Hinrich Schtze |
| 2019 | ACL | SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference. | Martin Schmitt, Hinrich Schtze |
| 2019 | ACL | Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes. | Marina Sedinkina, Nikolas Breitkopf, Hinrich Schtze |
| 2019 | ACL | Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings. | Yadollah Yaghoobzadeh, Katharina Kann, Timothy J. Hazen, Eneko Agirre, Hinrich Schtze |
| 2019 | ACL | A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction. | Mengjie Zhao, Hinrich Schtze |
| 2019 | EMNLP | Analytical Methods for Interpretable Ultradense Word Embeddings. | Philipp Dufter, Hinrich Schtze |
| 2019 | EMNLP | Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection. | Nina Prner, Hinrich Schtze |
| 2019 | ICLR | Texttovec: Deep Contextualized Neural autoregressive Topic Models of Language with Distributed Compositional Prior. | Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schtze |
| 2019 | INLG | Towards Summarization for Social Media - Results of the TL;DR Challenge. | Shahbaz Syed, Michael Vlske, Nedim Lipka, Benno Stein, Hinrich Schtze, Martin Potthast |
| 2019 | NAACL | News Article Teaser Tweets and How to Generate Them. | Sanjeev Kumar Karn, Mark Buckley, Ulli Waltinger, Hinrich Schtze |
| 2019 | NAACL | Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging. | Apostolos Kemos, Heike Adel, Hinrich Schtze |
| 2019 | NAACL | Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts. | Timo Schick, Hinrich Schtze |
| 2018 | ACL | Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly Applicable. | Viktor Hangya, Fabienne Braune, Alexander M. Fraser, Hinrich Schtze |
| 2018 | ACL | Embedding Learning Through Multilingual Concept Induction. | Philipp Dufter, Mengjie Zhao, Martin Schmitt, Alexander M. Fraser, Hinrich Schtze |
| 2018 | ACL | Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement. | Nina Prner, Hinrich Schtze, Benjamin Roth |
| 2018 | ACL | End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions. | Wenpeng Yin, Dan Roth, Hinrich Schtze |
| 2018 | COLING | Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs. | Wenpeng Yin, Yadollah Yaghoobzadeh, Hinrich Schtze |
| 2018 | EMNLP | LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation. | Pankaj Gupta, Hinrich Schtze |
| 2018 | EMNLP | Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting. | Katharina Kann, Hinrich Schtze |
| 2018 | EMNLP | Interpretable Textual Neuron Representations for NLP. | Nina Prner, Benjamin Roth, Hinrich Schtze |
| 2018 | EMNLP | Multi-View Learning: Multilingual and Multi-Representation Entity Typing. | Yadollah Yaghoobzadeh, Hinrich Schtze |
| 2018 | INLG | Task Proposal: The TL;DR Challenge. | Shahbaz Syed, Michael Vlske, Martin Potthast, Nedim Lipka, Benno Stein, Hinrich Schtze |
| 2018 | NAACL | Joint Bootstrapping Machines for High Confidence Relation Extraction. | Pankaj Gupta, Benjamin Roth, Hinrich Schtze |
| 2018 | NAACL | Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time. | Pankaj Gupta, Subburam Rajaram, Hinrich Schtze, Bernt Andrassy |
| 2018 | NAACL | Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages. | Katharina Kann, Manuel Mager, Ivn Vladimir Meza Ruz, Hinrich Schtze |
| 2017 | ACL | One-Shot Neural Cross-Lingual Transfer for Paradigm Completion. | Katharina Kann, Ryan Cotterell, Hinrich Schtze |
| 2017 | CICLING | Overview of Character-Based Models for Natural Language Processing. | Heike Adel, Ehsaneddin Asgari, Hinrich Schtze |
| 2017 | CoNLL | Training Data Augmentation for Low-Resource Morphological Inflection. | Toms Bergmanis, Katharina Kann, Hinrich Schtze, Sharon Goldwater |
| 2017 | CoNLL | The LMU System for the CoNLL-SIGMORPHON 2017 Shared Task on Universal Morphological Reinflection. | Katharina Kann, Hinrich Schtze |
| 2017 | EACL | Nonsymbolic Text Representation. | Hinrich Schtze |
| 2017 | EACL | Exploring Different Dimensions of Attention for Uncertainty Detection. | Heike Adel, Hinrich Schtze |
| 2017 | EACL | Neural Multi-Source Morphological Reinflection. | Katharina Kann, Ryan Cotterell, Hinrich Schtze |
| 2017 | EACL | End-to-End Trainable Attentive Decoder for Hierarchical Entity Classification. | Sanjeev Karn, Ulli Waltinger, Hinrich Schtze |
| 2017 | EACL | Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities. | Yadollah Yaghoobzadeh, Hinrich Schtze |
| 2017 | EACL | Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching. | Wenpeng Yin, Hinrich Schtze |
| 2017 | EACL | Noise Mitigation for Neural Entity Typing and Relation Extraction. | Yadollah Yaghoobzadeh, Heike Adel, Hinrich Schtze |
| 2017 | EMNLP | Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification. | Heike Adel, Hinrich Schtze |
| 2017 | EMNLP | Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 Languages. | Ehsaneddin Asgari, Hinrich Schtze |
| 2017 | EMNLP | Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models. | Katharina Kann, Hinrich Schtze |
| 2016 | ACL | Morphological Smoothing and Extrapolation of Word Embeddings. | Ryan Cotterell, Hinrich Schtze, Jason Eisner |
| 2016 | ACL | Single-Model Encoder-Decoder with Explicit Morphological Representation for Reinflection. | Katharina Kann, Hinrich Schtze |
| 2016 | ACL | Word Embedding Calculus in Meaningful Ultradense Subspaces. | Sascha Rothe, Hinrich Schtze |
| 2016 | ACL | Intrinsic Subspace Evaluation of Word Embedding Representations. | Yadollah Yaghoobzadeh, Hinrich Schtze |
| 2016 | ACL | Learning Word Meta-Embeddings. | Wenpeng Yin, Hinrich Schtze |
| 2016 | COLING | Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction. | Pankaj Gupta, Hinrich Schtze, Bernt Andrassy |
| 2016 | COLING | Simple Question Answering by Attentive Convolutional Neural Network. | Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schtze |
| 2016 | EMNLP | Morphological Segmentation Inside-Out. | Ryan Cotterell, Arun Kumar, Hinrich Schtze |
| 2016 | EMNLP | LAMB: A Good Shepherd of Morphologically Rich Languages. | Sebastian Ebert, Thomas Mller, Hinrich Schtze |
| 2016 | EMNLP | Neural Morphological Analysis: Encoding-Decoding Canonical Segments. | Katharina Kann, Ryan Cotterell, Hinrich Schtze |
| 2016 | ICASSP | Bi-directional recurrent neural network with ranking loss for spoken language understanding. | Ngoc Thang Vu, Pankaj Gupta, Heike Adel, Hinrich Schtze |
| 2016 | NAACL | Comparing Convolutional Neural Networks to Traditional Models for Slot Filling. | Heike Adel, Benjamin Roth, Hinrich Schtze |
| 2016 | NAACL | A Joint Model of Orthography and Morphological Segmentation. | Ryan Cotterell, Tim Vieira, Hinrich Schtze |
| 2016 | NAACL | Ultradense Word Embeddings by Orthogonal Transformation. | Sascha Rothe, Sebastian Ebert, Hinrich Schtze |
| 2016 | NAACL | Combining Recurrent and Convolutional Neural Networks for Relation Classification. | Ngoc Thang Vu, Heike Adel, Pankaj Gupta, Hinrich Schtze |
| 2016 | WWW | A Piggyback System for Joint Entity Mention Detection and Linking in Web Queries. | Marco Cornolti, Paolo Ferragina, Massimiliano Ciaramita, Stefan Rd, Hinrich Schtze |
| 2015 | ACL | AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes. | Sascha Rothe, Hinrich Schtze |
| 2015 | ACL | MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity. | Wenpeng Yin, Hinrich Schtze |
| 2015 | CoNLL | Labeled Morphological Segmentation with Semi-Markov Models. | Ryan Cotterell, Thomas Mller, Alexander M. Fraser, Hinrich Schtze |
| 2015 | CoNLL | Multichannel Variable-Size Convolution for Sentence Classification. | Wenpeng Yin, Hinrich Schtze |
| 2015 | EMNLP | Joint Lemmatization and Morphological Tagging with Lemming. | Thomas Mller, Ryan Cotterell, Alexander M. Fraser, Hinrich Schtze |
| 2015 | EMNLP | Learning Better Embeddings for Rare Words Using Distributional Representations. | Irina Sergienya, Hinrich Schtze |
| 2015 | EMNLP | Corpus-level Fine-grained Entity Typing Using Contextual Information. | Yadollah Yaghoobzadeh, Hinrich Schtze |
| 2015 | EMNLP | Online Updating of Word Representations for Part-of-Speech Tagging. | Wenpeng Yin, Tobias Schnabel, Hinrich Schtze |
| 2015 | NAACL | Morphological Word-Embeddings. | Ryan Cotterell, Hinrich Schtze |
| 2015 | NAACL | Robust Morphological Tagging with Word Representations. | Thomas Mller, Hinrich Schtze |
| 2015 | NAACL | Convolutional Neural Network for Paraphrase Identification. | Wenpeng Yin, Hinrich Schtze |
| 2015 | NAACL | Discriminative Phrase Embedding for Paraphrase Identification. | Wenpeng Yin, Hinrich Schtze |
| 2014 | ACL | Improving Citation Polarity Classification with Product Reviews. | Charles Jochim, Hinrich Schtze |
| 2014 | ACL | CoSimRank: A Flexible & Efficient Graph-Theoretic Similarity Measure. | Sascha Rothe, Hinrich Schtze |
| 2014 | ACL | An Exploration of Embeddings for Generalized Phrases. | Wenpeng Yin, Hinrich Schtze |
| 2014 | COLING | Unsupervised Training Set Generation for Automatic Acquisition of Technical Terminology in Patents. | Alex Judea, Hinrich Schtze, Soeren Bruegmann |
| 2014 | COLING | Picking the Amateur's Mind - Predicting Chess Player Strength from Game Annotations. | Christian Scheible, Hinrich Schtze |
| 2014 | EACL | Multi-Domain Sentiment Relevance Classification with Automatic Representation Learning. | Christian Scheible, Hinrich Schtze |
| 2014 | EMNLP | Using Mined Coreference Chains as a Resource for a Semantic Task. | Heike Adel, Hinrich Schtze |
| 2014 | EMNLP | Fine-Grained Contextual Predictions for Hard Sentiment Words. | Sebastian Ebert, Hinrich Schtze |
| 2014 | EMNLP | Dependency parsing with latent refinements of part-of-speech tags. | Thomas Mller, Richrd Farkas, Alex Judea, Helmut Schmid, Hinrich Schtze |
| 2014 | SIGIR | The SMAPH system for query entity recognition and disambiguation. | Marco Cornolti, Paolo Ferragina, Massimiliano Ciaramita, Hinrich Schtze, Stefan Rd |
| 2013 | ACL | Sentiment Relevance. | Christian Scheible, Hinrich Schtze |
| 2013 | CICLING | Unsupervised Feature Adaptation for Cross-Domain NLP with an Application to Compositionality Grading. | Lukas Michelbacher, Qi Han, Hinrich Schtze |
| 2013 | EMNLP | Efficient Higher-Order CRFs for Morphological Tagging. | Thomas Mller, Helmut Schmid, Hinrich Schtze |
| 2013 | EMNLP | The Topology of Semantic Knowledge. | Jimmy Dubuisson, Jean-Pierre Eckmann, Christian Scheible, Hinrich Schtze |
| 2013 | IJCNLP | Towards Robust Cross-Domain Domain Adaptation for Part-of-Speech Tagging. | Tobias Schnabel, Hinrich Schtze |
| 2013 | IJCNLP | Multilingual Lexicon Bootstrapping - Improving a Lexicon Induction System Using a Parallel Corpus. | Patrick Ziering, Lonneke van der Plas, Hinrich Schtze |
| 2013 | IJCNLP | Bootstrapping Semantic Lexicons for Technical Domains. | Patrick Ziering, Lonneke van der Plas, Hinrich Schtze |
| 2012 | CIKM | Crosslingual distant supervision for extracting relations of different complexity. | Andr Blessing, Hinrich Schtze |
| 2012 | COLING | Towards a Generic and Flexible Citation Classifier Based on a Faceted Classification Scheme. | Charles Jochim, Hinrich Schtze |
| 2012 | COLING | Classification of Inconsistent Sentiment Words using Syntactic Constructions. | Wiltrud Kessler, Hinrich Schtze |
| 2012 | COLING | Automatic Detection of Point of View Differences in Wikipedia. | Khalid Al Khatib, Hinrich Schtze, Cathleen Kantner |
| 2012 | EACL | Automatic generation of short informative sentiment summaries. | Andrea Glaser, Hinrich Schtze |
| 2012 | LREC | Bootstrapping Sentiment Labels For Unannotated Documents With Polarity PageRank. | Christian Scheible, Hinrich Schtze |
| 2012 | NAACL | Active Learning for Coreference Resolution. | Florian Laws, Florian Heimerl, Hinrich Schtze |
| 2012 | NAACL | A Comparative Investigation of Morphological Language Modeling for the Languages of the European Union. | Thomas Mller, Hinrich Schtze, Helmut Schmid |
| 2012 | SIGIR | Preliminary study of technical terminology for the retrieval of scientific book metadata records. | Birger Larsen, Christina Lioma, Ingo Frommholz, Hinrich Schtze |
| 2011 | ACL | Bootstrapping coreference resolution using word associations. | Hamidreza Kobdani, Hinrich Schtze, Michael Schiehlen, Hans Kamp |
| 2011 | ACL | Improved Modeling of Out-Of-Vocabulary Words Using Morphological Classes. | Thomas Mller, Hinrich Schtze |
| 2011 | ACL | Piggyback: Using Search Engines for Robust Cross-Domain Named Entity Recognition. | Stefan Rd, Massimiliano Ciaramita, Jens Mller, Hinrich Schtze |
| 2011 | ACL | Integrating history-length interpolation and classes in language modeling. | Hinrich Schtze |
| 2011 | CoNLL | Supervised Coreference Resolution with SUCRE. | Hamidreza Kobdani, Hinrich Schtze |
| 2011 | EMNLP | Active Learning with Amazon Mechanical Turk. | Florian Laws, Christian Scheible, Hinrich Schtze |
| 2011 | EMNLP | A Cascaded Classification Approach to Semantic Head Recognition. | Lukas Michelbacher, Alok Kothari, Martin Forst, Christina Lioma, Hinrich Schtze |
| 2011 | Interspeech | Speech Events are Recoverable from Unlabeled Articulatory Data: Using an Unsupervised Clustering Approach on Data Obtained from Electromagnetic Midsaggital Articulography (EMA). | Daniel Duran, Jagoda Bruni, Grzegorz Dogil, Hinrich Schtze |
| 2011 | ICTIR | User Perspectives on Query Difficulty. | Christina Lioma, Birger Larsen, Hinrich Schtze |
| 2011 | SIGIR | Sense discrimination for physics retrieval. | Christina Lioma, Alok Kothari, Hinrich Schtze |
| 2010 | CIKM | Preliminary study into query translation for patent retrieval. | Charles Jochim, Christina Lioma, Hinrich Schtze, Steffen Koch, Thomas Ertl |
| 2010 | CIKM | Relational feature engineering of natural language processing. | Hamidreza Kobdani, Hinrich Schtze, Andre Burkovski, Wiltrud Kessler, Gunther Heidemann |
| 2010 | COLING | Self-Annotation for fine-grained geospatial relation extraction. | Andr Blessing, Hinrich Schtze |
| 2010 | COLING | A Linguistically Grounded Graph Model for Bilingual Lexicon Extraction. | Florian Laws, Lukas Michelbacher, Beate Dorow, Christian Scheible, Ulrich Heid, Hinrich Schtze |
| 2010 | COLING | Sentiment Translation through Multi-Edge Graphs. | Christian Scheible, Florian Laws, Lukas Michelbacher, Hinrich Schtze |
| 2010 | ECIR | IR, NLP, and Visualization. | Hinrich Schtze |
| 2010 | Interspeech | Frequency of occurrence effects on pitch accent realisation. | Katrin Schweitzer, Michael Walsh, Bernd Mbius, Hinrich Schtze |
| 2010 | LREC | Fine-Grained Geographical Relation Extraction from Wikipedia. | Andr Blessing, Hinrich Schtze |
| 2010 | LREC | Building a Cross-lingual Relatedness Thesaurus using a Graph Similarity Measure. | Lukas Michelbacher, Florian Laws, Beate Dorow, Ulrich Heid, Hinrich Schtze |
| 2010 | LREC | BabyExp: Constructing a Huge Multimodal Resource to Acquire Commonsense Knowledge Like Children Do. | Massimo Poesio, Marco Baroni, Oswald Lanz, Alessandro Lenci, Alexandros Potamianos, Hinrich Schtze, Sabine Schulte im Walde, Luca Surian |
| 2010 | LREC | Identification of Rare & Novel Senses Using Translations in a Parallel Corpus. | Richard Schwarz, Hinrich Schtze, Fabienne Martin, Achim Stein |
| 2010 | NAACL | Bitext-Based Resolution of German Subject-Object Ambiguities. | Florian Schwarck, Alexander M. Fraser, Hinrich Schtze |
| 2009 | EACL | Rich Bitext Projection Features for Parse Reranking. | Alexander M. Fraser, Renjing Wang, Hinrich Schtze |
| 2009 | EACL | Frequency Matters: Pitch Accents and Information Status. | Katrin Schweitzer, Michael Walsh, Bernd Mbius, Arndt Riester, Antje Schweitzer, Hinrich Schtze |
| 2008 | COLING | Stopping Criteria for Active Learning of Named Entity Recognition. | Florian Laws, Hinrich Schtze |
| 2008 | EMNLP | A Graph-theoretic Model of Lexical Syntactic Acquisition. | Hinrich Schtze, Michael Walsh |
| 2008 | IIWAS | Automatic acquisition of vernacular places. | Andr Blessing, Hinrich Schtze |
| 2008 | Interspeech | Examining pitch-accent variability from an exemplar-theoretic perspective. | Michael Walsh, Katrin Schweitzer, Bernd Mbius, Hinrich Schtze |
| 2008 | LREC | An Inverted Index for Storing and Retrieving Grammatical Dependencies. | Michaela Atterer, Hinrich Schtze |
| 2008 | LREC | A Question Answering System for German. Experiments with Morphological Linguistic Resources. | Florian Koehler, Hinrich Schtze, Michaela Atterer |
| 2008 | WSDM | Disorder inequality: a combinatorial approach to nearest neighbor search. | Navin Goyal, Yury Lifshits, Hinrich Schtze |
| 2007 | SIGIR | Improving active learning recall via disjunctive boolean constraints. | Emre Velipasaoglu, Hinrich Schtze, Jan O. Pedersen |
| 2006 | ACL | The Effect of Corpus Size in Combining Supervised and Unsupervised Training for Disambiguation. | Michaela Atterer, Hinrich Schtze |
| 2006 | CIKM | Performance thresholding in practical text classification. | Hinrich Schtze, Emre Velipasaoglu, Jan O. Pedersen |
| 2006 | CoNLL | A Lattice-Based Framework for Enhancing Statistical Parsers with Information from Unlabeled Corpora. | Michaela Atterer, Hinrich Schtze |
| 2006 | PERCOM | Language-Derived Information and Context Models. | Andr Blessing, Stefan Klatt, Hinrich Schtze, Daniela Nicklas, Steffen Volz |
| 1997 | ACL | Automatic Detection of Text Genre. | Brett Kessler, Geoffrey Nunberg, Hinrich Schtze |
| 1997 | SIGIR | Projections for Efficient Document Clustering. | Hinrich Schtze, Craig Silverstein |
| 1996 | SIGIR | Method Combination For Document Filtering. | David A. Hull, Jan O. Pedersen, Hinrich Schtze |
| 1995 | SIGIR | A Comparison of Classifiers and Document Representations for the Routing Problem. | Hinrich Schtze, David A. Hull, Jan O. Pedersen |
| 1994 | ACL | Part-of-Speech Tagging using a Variable Memory Markov Model. | Hinrich Schtze, Yoram Singer |
| 1993 | ACL | Part-of-Speech Induction from Scratch. | Hinrich Schtze |
| 1992 | SC | Dimensions of Meaning. | Hinrich Schtze |
| 1991 | IJCAI | Communication and Inference through Situations. | Hideyuki Nakashima, Stanley Peters, Hinrich Schtze |