Challenges of Adding Causation to Richer Event Descriptions. - Rei Ikuta; Will Styler; Mariah Hamang; Tim O'Gorman; Martha Palmer (EVENTS@ACL, 2014)

The Logic of AMR: Practical, Unified, Graph-Based Sentence Semantics for NLP. - Nathan Schneider 001; Jeffrey Flanigan; Tim O'Gorman (HLT-NAACL, 2015)

A Comparison of Event Representations in DEFT. - Ann Bies; Zhiyi Song; Jeremy Getman; Joe Ellis; Justin Mott; Stephanie M. Strassel; Martha Palmer; Teruko Mitamura; Marjorie Freedman; Heng Ji 001; Tim O'Gorman (EVENTS@HLT-NAACL, 2016)

Building a Cross-document Event-Event Relation Corpus. - Yu Hong; Tongtao Zhang; Tim O'Gorman; Sharone Horowit-Hendler; Heng Ji 001; Martha Palmer (LAW@ACL, 2016)

A Corpus of Preposition Supersenses. - Nathan Schneider 001; Jena D. Hwang; Vivek Srikumar; Meredith Green; Abhijit Suresh; Kathryn Conger; Tim O'Gorman; Martha Palmer (LAW@ACL, 2016)

A corpus of preposition supersenses in English web reviews. - Nathan Schneider 001; Jena D. Hwang; Vivek Srikumar; Meredith Green; Kathryn Conger; Tim O'Gorman; Martha Palmer (CoRR, 2016)

AMPN: a semantic resource for Arabic morphological patterns. - Wajdi Zaghouani; Abdelati Hawwari; Mona T. Diab; Tim O'Gorman; Ahmed Badran (Int. J. Speech Technol., 2016)

Double Trouble: The Problem of Construal in Semantic Annotation of Adpositions. - Jena D. Hwang; Archna Bhatia; Na-Rae Han; Tim O'Gorman; Vivek Srikumar; Nathan Schneider 001 (*SEM, 2017)

Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions. - Jena D. Hwang; Archna Bhatia; Na-Rae Han; Tim O'Gorman; Vivek Srikumar; Nathan Schneider 001 (CoRR, 2017)

Adposition Supersenses v2. - Nathan Schneider 001; Jena D. Hwang; Archna Bhatia; Na-Rae Han; Vivek Srikumar; Tim O'Gorman; Omri Abend (CoRR, 2017)

AMR Beyond the Sentence: the Multi-sentence AMR corpus. - Tim O'Gorman; Michael Regan; Kira Griffitt; Ulf Hermjakob; Kevin Knight; Martha Palmer (COLING, 2018)

Abstract Meaning Representation of Constructions: The More We Include, the Better the Representation. - Claire Bonial; Bianca Badarau; Kira Griffitt; Ulf Hermjakob; Kevin Knight; Tim O'Gorman; Martha Palmer; Nathan Schneider 001 (LREC, 2018)

The New Propbank: Aligning Propbank with AMR through POS Unification. - Tim O'Gorman; Sameer Pradhan; Martha Palmer; Julia Bonn; Kathryn Conger; James Gung (LREC, 2018)

MRP 2019: Cross-Framework Meaning Representation Parsing. - Stephan Oepen; Omri Abend; Jan Hajic; Daniel Hershcovich; Marco Kuhlmann; Tim O'Gorman; Nianwen Xue; Jayeol Chun; Milan Straka; Zdenka Uresová (CoNLL Shared Task, 2019)

MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing. - Stephan Oepen; Omri Abend; Lasha Abzianidze; Johan Bos; Jan Hajic; Daniel Hershcovich; Bin Li 052; Tim O'Gorman; Nianwen Xue; Daniel Zeman (CoNLL Shared Task, 2020)

ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning. - Michael Boratko; Xiang Li 069; Tim O'Gorman; Rajarshi Das; Dan Le; Andrew McCallum (EMNLP (1), 2020)

Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders. - Andrew Drozdov; Subendhu Rongali; Yi-Pei Chen 001; Tim O'Gorman; Mohit Iyyer; Andrew McCallum (EMNLP (1), 2020)

An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text. - Daivik Swarup; Ahsaas Bajaj; Sheshera Mysore; Tim O'Gorman; Rajarshi Das; Andrew McCallum (EMNLP (Findings), 2020)

MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text. - Tim O'Gorman; Zach Jensen; Sheshera Mysore; Kevin Huang 004; Rubayyat Mahbub; Elsa A. Olivetti; Andrew McCallum (EMNLP (1), 2021)

Improved Latent Tree Induction with Distant Supervision via Span Constraints. - Zhiyang Xu; Andrew Drozdov; Jay-Yoon Lee; Tim O'Gorman; Subendhu Rongali; Dylan Finkbeiner; Shilpa Suresh; Mohit Iyyer; Andrew McCallum (EMNLP (1), 2021)

CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example. - Sheshera Mysore; Tim O'Gorman; Andrew McCallum; Hamed Zamani (NeurIPS Datasets and Benchmarks, 2021)

A Dataset for Discourse Structure in Peer Review Discussions. - Neha Nayak Kennard; Tim O'Gorman; Akshay Sharma; Chhandak Bagchi; Matthew Clinton; Pranay Kumar Yelugam; Rajarshi Das; Hamed Zamani; Andrew McCallum (CoRR, 2021)

Designing a Uniform Meaning Representation for Natural Language Processing. - Jens E. L. Van Gysel; Meagan Vigus; Jayeol Chun; Kenneth Lai; Sarah R. Moeller; Jiarui Yao; Tim O'Gorman; Andrew Cowell; William Croft 001; Chu-Ren Huang; Jan Hajic; James H. Martin; et al. (Künstliche Intell., 2021)

DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions. - Neha Nayak Kennard; Tim O'Gorman; Rajarshi Das; Akshay Sharma; Chhandak Bagchi; Matthew Clinton; Pranay Kumar Yelugam; Hamed Zamani; Andrew McCallum (NAACL-HLT, 2022)

DocAMR: Multi-Sentence AMR Representation and Evaluation. - Tahira Naseem; Austin Blodgett; Sadhana Kumaravel; Tim O'Gorman; Young-Suk Lee 001; Jeffrey Flanigan; Ramón Fernandez Astudillo; Radu Florian; Salim Roukos; Nathan Schneider 001 (NAACL-HLT, 2022)

PropBank Comes of Age - Larger, Smarter, and more Diverse. - Sameer Pradhan; Julia Bonn; Skatje Myers; Kathryn Conger; Tim O'Gorman; James Gung; Kristin Wright-Bettner; Martha Palmer (*SEM@NAACL-HLT, 2022)

Every Answer Matters: Evaluating Commonsense with Probabilistic Measures. - Qi Cheng; Michael Boratko; Pranay Kumar Yelugam; Tim O'Gorman; Nalini Singh; Andrew McCallum; Xiang Li 069 (ACL (1), 2024)