Chris Callison-Burch
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
152
Venues
22
Active years
2003–2026
Best venue rank
A*
Where they publish
- A*ACL43 papers
- ANAACL30 papers
- A*EMNLP28 papers
- AEACL7 papers
- A*CVPR5 papers
- BLREC5 papers
- A*AAAI4 papers
- A*CHI3 papers
- BCOLING3 papers
- BHCOMP3 papers
- MulticonferenceICASSP3 papers
- NationalAMTA3 papers
- CNLDB2 papers
- BIJCNLP2 papers
- AInterspeech2 papers
- BCoNLL2 papers
- CEAMT2 papers
- UnrankedICTIR1 paper
- A*ECCV1 paper
- A*ICLR1 paper
- BINLG1 paper
- ACSCW1 paper
Papers
152 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | LaTeX2Layout: High-Fidelity, Scalable Document Layout Annotation Pipeline for Layout Detection. | Feijiang Han, Zelong Wang, Bowen Wang, Xinxin Liu, Skyler Cheung, Delip Rao, Chris Callison-Burch, Lyle H. Ungar |
| 2026 | ACL | NSF-SciFy: Mining the NSF Awards Database for Scientific Claims. | Delip Rao, Weiqiu You, Eric Wong, Chris Callison-Burch |
| 2026 | EACL | Toward Beginner-Friendly LLMs for Language Learning: Controlling Difficulty in Conversation. | Meiqing Jin, Liam Dugan, Chris Callison-Burch |
| 2026 | ICTIR | DoGMaTiQ: Automated Generation of Question-and-Answer Nuggets for Report Evaluation. | Bryan Li, William Gantt Walden, Yu Hou, Gabrielle Kaili-May Liu, Dawn J. Lawrie, James Mayfield, Eugene Yang, Chris Callison-Burch, Laura Dietz |
| 2026 | NLDB | What Do Claim Verification Datasets Actually Test? A Reasoning Trace Analysis. | Delip Rao, Chris Callison-Burch |
| 2026 | NLDB | ThinknCheck: Grounded Claim Verification with Compact, Reasoning-Driven, and Interpretable Models. | Delip Rao, Feijiang Han, Chris Callison-Burch |
| 2025 | AAAI | Calibrating Large Language Models with Sample Consistency. | Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch |
| 2025 | ACL | Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation. | Yue Yang, Ajay Patel, Matt Deitke, Tanmay Gupta, Luca Weihs, Andrew Head, Mark Yatskar, Chris Callison-Burch, Ranjay Krishna, Aniruddha Kembhavi, Christopher Clark |
| 2025 | ACL | Multilingual Retrieval Augmented Generation for Culturally-Sensitive Tasks: A Benchmark for Cross-lingual Robustness. | Bryan Li, Fiona Luo, Samar Haider, Adwait Agashe, Siyu Li, Runqi Liu, Miranda Muqing Miao, Shriya Ramakrishnan, Yuan Yuan, Chris Callison-Burch |
| 2025 | ACL | mStyleDistance: Multilingual Style Embeddings and their Evaluation. | Justin Qiu, Jiacheng Zhu, Ajay Patel, Marianna Apidianaki, Chris Callison-Burch |
| 2025 | CHI | Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage. | Jenny S. Wang, Samar Haider, Amir Tohidi, Anushkaa Gupta, Yuxuan Zhang, Chris Callison-Burch, David M. Rothschild, Duncan J. Watts |
| 2025 | COLING | GenAI Content Detection Task 3: Cross-Domain Machine Generated Text Detection Challenge. | Liam Dugan, Andrew Zhu, Firoj Alam, Preslav Nakov, Marianna Apidianaki, Chris Callison-Burch |
| 2025 | CVPR | Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. | Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi |
| 2025 | CVPR | Concept Lancet: Image Editing with Compositional Representation Transplant. | Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Hancheng Min, Chris Callison-Burch, Ren Vidal |
| 2025 | CVPR | ViUniT: Visual Unit Tests for More Robust Visual Programming. | Artemis Panagopoulou, Honglu Zhou, Silvio Savarese, Caiming Xiong, Chris Callison-Burch, Mark Yatskar, Juan Carlos Niebles |
| 2025 | EMNLP | Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D. | Artemis Panagopoulou, Le Xue, Honglu Zhou, Silvio Savarese, Ran Xu, Caiming Xiong, Chris Callison-Burch, Mark Yatskar, Juan Carlos Niebles |
| 2025 | EMNLP | Probabilistic Soundness Guarantees in LLM Reasoning Chains. | Weiqiu You, Anton Xue, Shreya Havaldar, Delip Rao, Helen Jin, Chris Callison-Burch, Eric Wong |
| 2025 | NAACL | StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples. | Ajay Patel, Jiacheng Zhu, Justin Qiu, Zachary Horvitz, Marianna Apidianaki, Kathleen McKeown, Chris Callison-Burch |
| 2024 | AAAI | ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer. | Zachary Horvitz, Ajay Patel, Chris Callison-Burch, Zhou Yu, Kathleen R. McKeown |
| 2024 | ACL | RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors. | Liam Dugan, Alyssa Hwang, Filip Trhlk, Andrew Zhu, Josh Magnus Ludan, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch |
| 2024 | ACL | DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows. | Ajay Patel, Colin Raffel, Chris Callison-Burch |
| 2024 | ACL | FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models. | Andrew Zhu, Alyssa Hwang, Liam Dugan, Chris Callison-Burch |
| 2024 | COLING | Choice-75: A Dataset on Decision Branching in Script Learning. | Zhaoyi Hou, Li Zhang, Chris Callison-Burch |
| 2024 | CVPR | Holodeck: Language Guided Generation of 3D Embodied AI Environments. | Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark |
| 2024 | EACL | OpenPI2.0: An Improved Dataset for Entity Tracking in Texts. | Li Zhang, Hainiu Xu, Abhinav Kommula, Chris Callison-Burch, Niket Tandon |
| 2024 | ECCV | CoMo: Controllable Motion Generation Through Language Guided Pose Code Editing. | Yiming Huang, Weilin Wan, Yue Yang, Chris Callison-Burch, Mark Yatskar, Lingjie Liu |
| 2024 | EMNLP | TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings. | Zachary Horvitz, Ajay Patel, Kanishk Singh, Chris Callison-Burch, Kathleen R. McKeown, Zhou Yu |
| 2024 | EMNLP | MiRAGeNews: Multimodal Realistic AI-Generated News Detection. | Runsheng Huang, Liam Dugan, Yue Yang, Chris Callison-Burch |
| 2024 | EMNLP | ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems. | Andrew Zhu, Liam Dugan, Chris Callison-Burch |
| 2024 | NAACL | This Land is Your, My Land: Evaluating Geopolitical Bias in Language Models through Territorial Disputes. | Bryan Li, Samar Haider, Chris Callison-Burch |
| 2023 | AAAI | Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text. | Liam Dugan, Daphne Ippolito, Arun Kirubarajan, Sherry Shi, Chris Callison-Burch |
| 2023 | ACL | CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding. | Yijiang River Dong, Lara J. Martin, Chris Callison-Burch |
| 2023 | ACL | Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification. | Sha Li, Ruining Zhao, Manling Li, Heng Ji, Chris Callison-Burch, Jiawei Han |
| 2023 | ACL | Explanation-based Finetuning Makes Models More Robust to Spurious Cues. | Josh Magnus Ludan, Yixuan Meng, Tai Nguyen, Saurabh Shah, Qing Lyu, Marianna Apidianaki, Chris Callison-Burch |
| 2023 | ACL | Human-in-the-loop Schema Induction. | Tianyi Zhang, Isaac Tham, Zhaoyi Hou, Jiaxuan Ren, Leon Zhou, Hainiu Xu, Li Zhang, Lara J. Martin, Rotem Dror, Sha Li, Heng Ji, Martha Palmer, Susan Windisch Brown, Reece Suchocki, Chris Callison-Burch |
| 2023 | ACL | I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. | Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu |
| 2023 | ACL | FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information. | Andrew Zhu, Karmanya Aggarwal, Alexander H. Feng, Lara J. Martin, Chris Callison-Burch |
| 2023 | CVPR | Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification. | Yue Yang, Artemis Panagopoulou, Shenghao Zhou, Daniel Jin, Chris Callison-Burch, Mark Yatskar |
| 2023 | EACL | Learn With Martian: A Tool For Creating Assignments That Can Write And Re-Write Themselves. | Shriyash Upadhyay, Chris Callison-Burch, Etan Ginsberg |
| 2023 | EACL | Causal Reasoning of Entities and Events in Procedural Texts. | Li Zhang, Hainiu Xu, Yue Yang, Shuyan Zhou, Weiqiu You, Manni Arora, Chris Callison-Burch |
| 2023 | EMNLP | PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale. | Bryan Li, Chris Callison-Burch |
| 2023 | EMNLP | Learning Interpretable Style Embeddings via Prompting LLMs. | Ajay Patel, Delip Rao, Ansh Kothary, Kathleen R. McKeown, Chris Callison-Burch |
| 2023 | ICLR | Bidirectional Language Models Are Also Few-shot Learners. | Ajay Patel, Bryan Li, Mohammad Sadegh Rasooli, Noah Constant, Colin Raffel, Chris Callison-Burch |
| 2023 | IJCNLP | Faithful Chain-of-Thought Reasoning. | Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, Chris Callison-Burch |
| 2023 | Interspeech | Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models. | Liam Dugan, Anshul Wadhawan, Kyle Spence, Chris Callison-Burch, Morgan McGuire, Victor B. Zordan |
| 2022 | ACL | A Feasibility Study of Answer-Unaware Question Generation for Education. | Liam Dugan, Eleni Miltsakaki, Shriyash Upadhyay, Etan Ginsberg, Hannah Gonzalez, DaHyeon Choi, Chuning Yuan, Chris Callison-Burch |
| 2022 | ACL | Deduplicating Training Data Makes Language Models Better. | Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini |
| 2022 | ACL | A Recipe for Arbitrary Text Style Transfer with Large Language Models. | Emily Reif, Daphne Ippolito, Ann Yuan, Andy Coenen, Chris Callison-Burch, Jason Wei |
| 2022 | ACL | Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. | Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig |
| 2022 | EMNLP | Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence. | Chris Callison-Burch, Gaurav Singh Tomar, Lara J. Martin, Daphne Ippolito, Suma Bailis, David Reitter |
| 2022 | EMNLP | Unsupervised Entity Linking with Guided Summarization and Multiple-Choice Selection. | Young Min Cho, Li Zhang, Chris Callison-Burch |
| 2022 | EMNLP | Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction. | Yue Yang, Artemis Panagopoulou, Marianna Apidianaki, Mark Yatskar, Chris Callison-Burch |
| 2022 | LREC | Did that happen? Predicting Social Media Posts that are Indicative of what happened in a scene: A case study of a TV show. | Anietie Andy, Reno Kriz, Sharath Chandra Guntuku, Derry Tanti Wijaya, Chris Callison-Burch |
| 2022 | NAACL | Is "My Favorite New Movie" My Favorite Movie? Probing the Understanding of Recursive Noun Phrases. | Qing Lyu, Zheng Hua, Daoxin Li, Li Zhang, Marianna Apidianaki, Chris Callison-Burch |
| 2022 | NAACL | The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank. | Daphne Ippolito, Liam Dugan, Emily Reif, Ann Yuan, Andy Coenen, Chris Callison-Burch |
| 2021 | EMNLP | GooAQ: Open Question Answering with Diverse Answer Types. | Daniel Khashabi, Amos Ng, Tushar Khot, Ashish Sabharwal, Hannaneh Hajishirzi, Chris Callison-Burch |
| 2021 | EMNLP | BiSECT: Learning to Split and Rephrase Sentences with Bitexts. | Joongwon Kim, Mounica Maddela, Reno Kriz, Wei Xu, Chris Callison-Burch |
| 2021 | EMNLP | "Wikily" Supervised Neural Translation Tailored to Cross-Lingual Tasks. | Mohammad Sadegh Rasooli, Chris Callison-Burch, Derry Tanti Wijaya |
| 2021 | EMNLP | Visual Goal-Step Inference using wikiHow. | Yue Yang, Artemis Panagopoulou, Qing Lyu, Li Zhang, Mark Yatskar, Chris Callison-Burch |
| 2021 | INLG | Goal-Oriented Script Construction. | Qing Lyu, Li Zhang, Chris Callison-Burch |
| 2021 | NAACL | Cultural and Geographical Influences on Image Translatability of Words across Languages. | Nikzad Khani, Isidora Chara Tourni, Mohammad Sadegh Rasooli, Chris Callison-Burch, Derry Tanti Wijaya |
| 2021 | NAACL | RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. | Haoyang Wen, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Ren Fung, Piyush Mishra, Qing Lyu, Ddac Surs, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji |
| 2020 | ACL | Automatic Detection of Generated Text is Easiest when Humans are Fooled. | Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, Douglas Eck |
| 2020 | ACL | Toward Better Storylines with Sentence-Level Language Models. | Daphne Ippolito, David Grangier, Douglas Eck, Chris Callison-Burch |
| 2020 | EMNLP | RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text. | Liam Dugan, Daphne Ippolito, Arun Kirubarajan, Chris Callison-Burch |
| 2020 | EMNLP | Reasoning about Goals, Steps, and Temporal Ordering with WikiHow. | Li Zhang, Qing Lyu, Chris Callison-Burch |
| 2020 | IJCNLP | Intent Detection with WikiHow. | Li Zhang, Qing Lyu, Chris Callison-Burch |
| 2019 | ACL | PerspectroScope: A Window to the World of Diverse Perspectives. | Sihao Chen, Daniel Khashabi, Chris Callison-Burch, Dan Roth |
| 2019 | ACL | Comparison of Diverse Decoding Methods from Conditional Language Models. | Daphne Ippolito, Reno Kriz, Joo Sedoc, Maria Kustikova, Chris Callison-Burch |
| 2019 | CHI | Worker Demographics and Earnings on Amazon Mechanical Turk: An Exploratory Analysis. | Kotaro Hara, Abigail Adams, Kristy Milland, Saiph Savage, Benjamin V. Hanrahan, Jeffrey P. Bigham, Chris Callison-Burch |
| 2019 | NAACL | Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. | Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth |
| 2019 | NAACL | Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification. | Reno Kriz, Joo Sedoc, Marianna Apidianaki, Carolina Zheng, Gaurav Kumar, Eleni Miltsakaki, Chris Callison-Burch |
| 2019 | NAACL | ChatEval: A Tool for Chatbot Evaluation. | Joo Sedoc, Daphne Ippolito, Arun Kirubarajan, Jai Thirani, Lyle H. Ungar, Chris Callison-Burch |
| 2018 | ACL | Learning Translations via Images with a Massively Multilingual Image Dataset. | John Hewitt, Daphne Ippolito, Brendan Callahan, Reno Kriz, Derry Tanti Wijaya, Chris Callison-Burch |
| 2018 | CHI | A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk. | Kotaro Hara, Abigail Adams, Kristy Milland, Saiph Savage, Chris Callison-Burch, Jeffrey P. Bigham |
| 2018 | EMNLP | Learning Scalar Adjective Intensity from Paraphrases. | Anne Cocos, Veronica Wharton, Ellie Pavlick, Marianna Apidianaki, Chris Callison-Burch |
| 2018 | EMNLP | Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package. | Ajay Patel, Alexander Sands, Chris Callison-Burch, Marianna Apidianaki |
| 2018 | LREC | Introducing NIEUW: Novel Incentives and Workflows for Eliciting Linguistic Data. | Christopher Cieri, James Fiumara, Mark Y. Liberman, Chris Callison-Burch, Jonathan Wright |
| 2018 | NAACL | Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation. | Marianna Apidianaki, Guillaume Wisniewski, Anne Cocos, Chris Callison-Burch |
| 2018 | NAACL | Comparing Constraints for Taxonomic Organization. | Anne Cocos, Marianna Apidianaki, Chris Callison-Burch |
| 2018 | NAACL | Simplification Using Paraphrases and Context-Based Lexical Substitution. | Reno Kriz, Eleni Miltsakaki, Marianna Apidianaki, Chris Callison-Burch |
| 2017 | EACL | The Language of Place: Semantic Value from Geospatial Context. | Anne Cocos, Chris Callison-Burch |
| 2017 | EMNLP | KnowYourNyms? A Game of Semantic Relationships. | Ross Mechanic, Dean Fulgoni, Hannah Cutler, Sneha Rajana, Zheyuan Liu, Bradley Jackson, Anne Cocos, Chris Callison-Burch, Marianna Apidianaki |
| 2017 | EMNLP | Learning Translations via Matrix Completion. | Derry Wijaya, Brendan Callahan, John Hewitt, Jie Gao, Xiao Ling, Marianna Apidianaki, Chris Callison-Burch |
| 2016 | ACL | Most "babies" are "little" and most "problems" are "huge": Compositional Entailment in Adjective-Nouns. | Ellie Pavlick, Chris Callison-Burch |
| 2016 | ACL | Simple PPDB: A Paraphrase Database for Simplification. | Ellie Pavlick, Chris Callison-Burch |
| 2016 | EMNLP | Tense Manages to Predict Implicative Behavior in Verbs. | Ellie Pavlick, Chris Callison-Burch |
| 2016 | EMNLP | The Gun Violence Database: A new task and data set for NLP. | Ellie Pavlick, Heng Ji, Xiaoman Pan, Chris Callison-Burch |
| 2016 | NAACL | Clustering Paraphrases by Word Sense. | Anne Cocos, Chris Callison-Burch |
| 2016 | NAACL | Sentential Paraphrasing as Black-Box Machine Translation. | Courtney Napoles, Chris Callison-Burch, Matt Post |
| 2015 | ACL | Adding Semantics to Data-Driven Paraphrasing. | Ellie Pavlick, Johan Bos, Malvina Nissim, Charley Beller, Benjamin Van Durme, Chris Callison-Burch |
| 2015 | ACL | Domain-Specific Paraphrase Extraction. | Ellie Pavlick, Juri Ganitkevitch, Tsz Ping Chan, Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch |
| 2015 | ACL | PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification. | Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch |
| 2015 | ACL | FrameNet+: Fast Paraphrastic Tripling of FrameNet. | Ellie Pavlick, Travis Wolfe, Pushpendre Rastogi, Chris Callison-Burch, Mark Dredze, Benjamin Van Durme |
| 2015 | HCOMP | Extracting Structured Information via Automatic + Human Computation. | Ellie Pavlick, Chris Callison-Burch |
| 2015 | NAACL | Crowdsourcing for NLP. | Chris Callison-Burch, Lyle H. Ungar, Ellie Pavlick |
| 2015 | NAACL | Cost Optimization in Crowdsourcing Translation: Low cost translations made even cheaper. | Mingkun Gao, Wei Xu, Chris Callison-Burch |
| 2014 | ACL | Are Two Heads Better than One? Crowdsourced Translation via a Two-Step Collaboration of Non-Professional Translators and Editors. | Rui Yan, Mingkun Gao, Ellie Pavlick, Chris Callison-Burch |
| 2014 | CoNLL | Hallucinating Phrase Translations for Low Resource MT. | Ann Irvine, Chris Callison-Burch |
| 2014 | CSCW | Crowdsourcing for grammatical error correction. | Ellie Pavlick, Rui Yan, Chris Callison-Burch |
| 2014 | EACL | PARADIGM: Paraphrase Diagnostics through Grammar Matching. | Jonathan Weese, Juri Ganitkevitch, Chris Callison-Burch |
| 2014 | HCOMP | Crowd-Workers: Aggregating Information Across Turkers to Help Them Find Higher Paying Work. | Chris Callison-Burch |
| 2014 | HCOMP | Poetry of the Crowd: A Human Computation Algorithm to Convert Prose into Rhyming Verse. | Quanze Chen, Chenyang Lei, Wei Xu, Ellie Pavlick, Chris Callison-Burch |
| 2014 | LREC | A Multi-Dialect, Multi-Genre Corpus of Informal Written Arabic. | Ryan Cotterell, Chris Callison-Burch |
| 2014 | LREC | The Multilingual Paraphrase Database. | Juri Ganitkevitch, Chris Callison-Burch |
| 2014 | LREC | The American Local News Corpus. | Ann Irvine, Joshua Langfus, Chris Callison-Burch |
| 2013 | ACL | Dirt Cheap Web-Scale Parallel Text from the Common Crawl. | Jason R. Smith, Herve Saint-Amand, Magdalena Plamada, Philipp Koehn, Chris Callison-Burch, Adam Lopez |
| 2013 | ACL | PARMA: A Predicate Argument Aligner. | Travis Wolfe, Benjamin Van Durme, Mark Dredze, Nicholas Andrews, Charley Beller, Chris Callison-Burch, Jay DeYoung, Justin Snyder, Jonathan Weese, Tan Xu, Xuchen Yao |
| 2013 | ACL | A Lightweight and High Performance Monolingual Word Aligner. | Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark |
| 2013 | EMNLP | Semi-Markov Phrase-Based Monolingual Alignment. | Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark |
| 2013 | NAACL | PPDB: The Paraphrase Database. | Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch |
| 2013 | NAACL | Supervised Bilingual Lexicon Induction with Multiple Monolingual Signals. | Ann Irvine, Chris Callison-Burch |
| 2013 | NAACL | Answer Extraction as Sequence Tagging with Tree Edit Distance. | Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark |
| 2012 | ICASSP | Semi-supervised discriminative language modeling for Turkish ASR. | Arda elebi, Hasim Sak, Erin Dikici, Murat Saraclar, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Damianos Karakos, Sanjeev Khudanpur, Brian Roark, Kenji Sagae, Izhak Shafran, Daniel M. Bikel, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley |
| 2012 | ICASSP | Hallucinated n-best lists for discriminative language modeling. | Kenji Sagae, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Damianos Karakos, Sanjeev Khudanpur, Brian Roark, Murat Saraclar, Izhak Shafran, Daniel M. Bikel, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley |
| 2012 | ICASSP | Continuous space discriminative language modeling. | Puyang Xu, Sanjeev Khudanpur, Maider Lehr, Emily Tucker Prud'hommeaux, Nathan Glenn, Damianos Karakos, Brian Roark, Kenji Sagae, Murat Saraclar, Izhak Shafran, Daniel M. Bikel, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley |
| 2012 | Interspeech | Deriving conversation-based features from unlabeled speech for discriminative language modeling. | Damianos Karakos, Brian Roark, Izhak Shafran, Kenji Sagae, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Sanjeev Khudanpur, Murat Saraclar, Daniel M. Bikel, Mark Dredze, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley |
| 2012 | NAACL | Expectations of Word Sense in Parallel Corpora. | Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch |
| 2012 | NAACL | Machine Translation of Arabic Dialects. | Rabih Zbib, Erika Malchiodi, Jacob Devlin, David Stallard, Spyros Matsoukas, Richard M. Schwartz, John Makhoul, Omar Zaidan, Chris Callison-Burch |
| 2011 | ACL | Paraphrastic Sentence Compression with a Character-based Metric: Tightening without Deletion. | Courtney Napoles, Chris Callison-Burch, Juri Ganitkevitch, Benjamin Van Durme |
| 2011 | ACL | Evaluating Sentence Compression: Pitfalls and Suggested Remedies. | Courtney Napoles, Benjamin Van Durme, Chris Callison-Burch |
| 2011 | ACL | Incremental Syntactic Language Models for Phrase-based Translation. | Lane Schwartz, Chris Callison-Burch, William Schuler, Stephen T. Wu |
| 2011 | ACL | Crowdsourcing Translation: Professional Quality from Non-Professionals. | Omar Zaidan, Chris Callison-Burch |
| 2011 | ACL | The Arabic Online Commentary Dataset: an Annotated Dataset of Informal Arabic with High Dialectal Content. | Omar Zaidan, Chris Callison-Burch |
| 2011 | EMNLP | Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text-to-Text Generation. | Juri Ganitkevitch, Chris Callison-Burch, Courtney Napoles, Benjamin Van Durme |
| 2010 | ACL | Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation. | Michael Bloodgood, Chris Callison-Burch |
| 2010 | AMTA | Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach. | Kathryn Baker, Michael Bloodgood, Chris Callison-Burch, Bonnie J. Dorr, Nathaniel Wesley Filardo, Lori S. Levin, Scott Miller, Christine D. Piatko |
| 2010 | AMTA | Transliterating From All Languages. | Ann Irvine, Chris Callison-Burch, Alexandre Klementiev |
| 2010 | NAACL | Using Mechanical Turk to Build Machine Translation Evaluation Sets. | Michael Bloodgood, Chris Callison-Burch |
| 2010 | NAACL | Creating Speech and Language Data With Amazon's Mechanical Turk. | Chris Callison-Burch, Mark Dredze |
| 2010 | NAACL | Stream-based Translation Models for Statistical Machine Translation. | Abby D. Levenberg, Chris Callison-Burch, Miles Osborne |
| 2010 | NAACL | Cheap, Fast and Good Enough: Automatic Speech Recognition with Non-Expert Transcription. | Scott Novotney, Chris Callison-Burch |
| 2010 | NAACL | Crowdsourced Accessibility: Elicitation of Wikipedia Articles. | Scott Novotney, Chris Callison-Burch |
| 2010 | NAACL | Cheap Facts and Counter-Facts. | Rui Wang, Chris Callison-Burch |
| 2010 | NAACL | Predicting Human-Targeted Translation Edit Rate via Untrained Human Annotators. | Omar Zaidan, Chris Callison-Burch |
| 2009 | ACL | Demonstration of Joshua: An Open Source Toolkit for Parsing-based Machine Translation. | Zhifei Li, Chris Callison-Burch, Chris Dyer, Juri Ganitkevitch, Sanjeev Khudanpur, Lane Schwartz, Wren N. G. Thornton, Jonathan Weese, Omar Zaidan |
| 2009 | CoNLL | Improving Translation Lexicon Induction from Monolingual Corpora via Dependency Contexts and Part-of-Speech Equivalences. | Nikesh Garera, Chris Callison-Burch, David Yarowsky |
| 2009 | EMNLP | Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical Turk. | Chris Callison-Burch |
| 2009 | EMNLP | Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases. | Yuval Marton, Chris Callison-Burch, Philip Resnik |
| 2009 | EMNLP | Feasibility of Human-in-the-loop Minimum Error Rate Training. | Omar Zaidan, Chris Callison-Burch |
| 2008 | COLING | ParaMetric: An Automatic Evaluation Metric for Paraphrasing. | Chris Callison-Burch, Trevor Cohn, Mirella Lapata |
| 2008 | EMNLP | Syntactic Constraints on Paraphrases Extracted from Parallel Corpora. | Chris Callison-Burch |
| 2007 | ACL | Moses: Open Source Toolkit for Statistical Machine Translation. | Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, Evan Herbst |
| 2006 | AMTA | Constraining the Phrase-Based, Joint Probability Statistical Translation Model. | Alexandra Birch, Chris Callison-Burch, Miles Osborne |
| 2006 | EACL | Re-evaluation the Role of Bleu in Machine Translation Research. | Chris Callison-Burch, Miles Osborne, Philipp Koehn |
| 2006 | NAACL | Improved Statistical Machine Translation Using Paraphrases. | Chris Callison-Burch, Philipp Koehn, Miles Osborne |
| 2005 | ACL | Paraphrasing with Bilingual Parallel Corpora. | Colin J. Bannard, Chris Callison-Burch |
| 2005 | ACL | Scaling Phrase-Based Statistical Machine Translation to Larger Corpora and Longer Phrases. | Chris Callison-Burch, Colin J. Bannard, Josh Schroeder |
| 2005 | EAMT | A compact data structure for searchable translation memories. | Chris Callison-Burch, Colin J. Bannard, Josh Schroeder |
| 2004 | ACL | Statistical Machine Translation with Word- and Sentence-Aligned Parallel Corpora. | Chris Callison-Burch, David Talbot, Miles Osborne |
| 2004 | EAMT | Improving statistical translation through editing. | Chris Callison-Burch, Colin J. Bannard, Josh Schroeder |
| 2003 | NAACL | Bootstrapping Parallel Corpora. | Chris Callison-Burch, Miles Osborne |