| 2023 | EACL | ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution. | Ankita Gupta, Marzena Karpinska, Wenlong Zhao, Kalpesh Krishna, Jack Merullo, Luke Yeh, Mohit Iyyer, Brendan O'Connor |
| 2022 | COLING | Cross-Dialect Social Media Dependency Parsing for Social Scientific Entity Attribute Analysis. | Chloe Eggleston, Brendan O'Connor |
| 2021 | ACL | Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence. | Andrew Halterman, Katherine A. Keith, Sheikh Muhammad Sarwar, Brendan O'Connor |
| 2020 | ACL | Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates. | Katherine A. Keith, David D. Jensen, Brendan O'Connor |
| 2019 | EMNLP | Query-focused Sentence Compression in Linear Time. | Abram Handler, Brendan O'Connor |
| 2019 | EMNLP | Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts. | Jack Merullo, Luke Yeh, Abram Handler, Alvin Grissom II, Brendan O'Connor, Mohit Iyyer |
| 2018 | ECIR | A Neural Passage Model for Ad-hoc Document Retrieval. | Qingyao Ai, Brendan O'Connor, W. Bruce Croft |
| 2018 | EMNLP | Uncertainty-aware generative models for inferring document class prevalence. | Katherine A. Keith, Brendan O'Connor |
| 2018 | EMNLP | Evaluating Grammaticality in Seq2seq Models with a Broad Coverage HPSG Grammar: A Case Study on Machine Translation. | Johnny Wei, Khiem Pham, Brendan O'Connor, Brian Dillon |
| 2018 | ICTIR | Understanding the Representational Power of Neural Retrieval Models Using NLP Tasks. | Daniel Cohen, Brendan O'Connor, W. Bruce Croft |
| 2018 | ICTIR | Exploring Diversification In Non-factoid Question Answering. | Lakshmi Vikraman, W. Bruce Croft, Brendan O'Connor |
| 2017 | EMNLP | Identifying civilians killed by police with distantly supervised entity-event extraction. | Katherine A. Keith, Abram Handler, Michael Pinkham, Cara Magliozzi, Joshua McDuffie, Brendan O'Connor |
| 2017 | ICDM | A Probabilistic Approach for Learning with Label Proportions Applied to the US Presidential Election. | Tao Sun, Daniel Sheldon, Brendan O'Connor |
| 2017 | WWW | Learning to Extract Events from Knowledge Base Revisions. | Alexander Konovalov, Benjamin Strauss, Alan Ritter, Brendan O'Connor |
| 2016 | CIKM | Improving Entity Ranking for Keyword Queries. | John Foley, Brendan O'Connor, James Allan |
| 2015 | EMNLP | Posterior calibration and exploratory analysis for natural language processing models. | Khanh Nguyen, Brendan O'Connor |
| 2013 | ACL | Learning Latent Personas of Film Characters. | David Bamman, Brendan O'Connor, Noah A. Smith |
| 2013 | ACL | Learning to Extract International Relations from Political Context. | Brendan O'Connor, Brandon M. Stewart, Noah A. Smith |
| 2013 | NAACL | Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters. | Olutobi Owoputi, Brendan O'Connor, Chris Dyer, Kevin Gimpel, Nathan Schneider, Noah A. Smith |
| 2011 | ACL | Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. | Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, Noah A. Smith |
| 2011 | EMNLP | Predicting a Scientific Community's Response to an Article. | Dani Yogatama, Michael Heilman, Brendan O'Connor, Chris Dyer, Bryan R. Routledge, Noah A. Smith |
| 2010 | EMNLP | A Latent Variable Model for Geographic Lexical Variation. | Jacob Eisenstein, Brendan O'Connor, Noah A. Smith, Eric P. Xing |
| 2010 | ICWSM | From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series. | Brendan O'Connor, Ramnath Balasubramanyan, Bryan R. Routledge, Noah A. Smith |
| 2010 | ICWSM | TweetMotif: Exploratory Search and Topic Summarization for Twitter. | Brendan O'Connor, Michel Krieger, David Ahn |
| 2008 | EMNLP | Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks. | Rion Snow, Brendan O'Connor, Daniel Jurafsky, Andrew Y. Ng |