| 2026 | ACL | OmniOData: Unleashing Small Language Models for OData Query Generation with Synthetic Data and Reinforcement Learning. | Tao Bai, Zhaochen Li, Hongxin Shao, Daniel Dahlmeier |
| 2026 | EACL | OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets. | Jiyuan Shen, Yuan Peiyue, Atin Ghosh, Yifan Mai, Daniel Dahlmeier |
| 2026 | EACL | Rethinking Reading Order: Toward Generalizable Document Understanding with LLM-based Relation Modeling. | Weishi Wang, Hengchang Hu, Daniel Dahlmeier |
| 2025 | ACL | Optimization before Evaluation: Evaluation with Unoptimized Prompts Can be Misleading. | Nicholas Sadjoli, Tim Siefken, Atin Ghosh, Yifan Mai, Daniel Dahlmeier |
| 2019 | ACL | An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
| 2018 | ACL | Exploiting Document Knowledge for Aspect-level Sentiment Classification. | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
| 2018 | COLING | Effective Attention Modeling for Aspect-Level Sentiment Classification. | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
| 2018 | EMNLP | Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
| 2017 | AAAI | Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. | Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao |
| 2017 | ACL | On the Challenges of Translating NLP Research into Commercial Products. | Daniel Dahlmeier |
| 2017 | ACL | An Unsupervised Neural Attention Model for Aspect Extraction. | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
| 2017 | ICDE | Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors. | Shuhao Zhang, Bingsheng He, Daniel Dahlmeier, Amelie Chi Zhou, Thomas Heinze |
| 2017 | ICDE | Multi-Query Optimization for Complex Event Processing in SAP ESP. | Shuhao Zhang, Hoang Tam Vo, Daniel Dahlmeier, Bingsheng He |
| 2016 | EMNLP | Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. | Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao |
| 2014 | PAKDD | A Biclustering-Based Classification Framework for Microarray Analysis. | Baljeet Malhotra, Daniel Dahlmeier, Naveen Nandan |
| 2014 | SIGIR | Not So Unique in the Crowd: a Simple and Effective Algorithm for Anonymizing Location Data. | Yi Song, Daniel Dahlmeier, Stphane Bressan |
| 2012 | EMNLP | A Beam-Search Decoder for Grammatical Error Correction. | Daniel Dahlmeier, Hwee Tou Ng |
| 2012 | NAACL | Better Evaluation for Grammatical Error Correction. | Daniel Dahlmeier, Hwee Tou Ng |
| 2011 | ACL | Grammatical Error Correction with Alternating Structure Optimization. | Daniel Dahlmeier, Hwee Tou Ng |
| 2011 | EMNLP | Correcting Semantic Collocation Errors with L1-induced Paraphrases. | Daniel Dahlmeier, Hwee Tou Ng |
| 2011 | EMNLP | Better Evaluation Metrics Lead to Better Machine Translation. | Chang Liu, Daniel Dahlmeier, Hwee Tou Ng |
| 2010 | EMNLP | PEM: A Paraphrase Evaluation Metric Exploiting Parallel Texts. | Chang Liu, Daniel Dahlmeier, Hwee Tou Ng |
| 2009 | EMNLP | Joint Learning of Preposition Senses and Semantic Roles of Prepositional Phrases. | Daniel Dahlmeier, Hwee Tou Ng, Tanja Schultz |
| 2009 | SAC | On the practical importance of communication complexity for secure multi-party computation protocols. | Florian Kerschbaum, Daniel Dahlmeier, Axel Schrpfer, Debmalya Biswas |