Building a Foundation System for Producing Short Answers to Factual Questions. - Sameer S. Pradhan; Valerie Krugler; Steven Bethard; Wayne H. Ward; Daniel Jurafsky; James H. Martin; Sasha Blair-Goldensohn; Andrew Hazen Schlaikjer; Elena Filatova; Pablo Ariel Duboue; Hong Yu 001; Rebecca J. Passonneau; et al. (TREC, 2002)

Extracting Opinion Propositions and Opinion Holders using Syntactic and Lexical Cues. - Steven Bethard; Hong Yu 001; Ashley Thornton; Vasileios Hatzivassiloglou; Dan Jurafsky (Computing Attitude and Affect in Text, 2006)

Identification of Event Mentions and their Semantic Class. - Steven Bethard; James H. Martin (EMNLP, 2006)

Semantic Integration in Learning from Text. - Steven Bethard; Rodney D. Nielsen; James H. Martin; Wayne H. Ward; Martha Palmer (AAAI Spring Symposium: Machine Reading, 2007)

Timelines from Text: Identification of Syntactic Temporal Relations. - Steven Bethard; James H. Martin; Sara Klingenstein (ICSC, 2007)

CU-TMP: Temporal Relation Classification Using Syntactic and Semantic Features. - Steven Bethard; James H. Martin (SemEval@ACL, 2007)

Finding Temporal Structure in Text: Machine Learning of Syntactic Temporal Relations. - Steven Bethard; James H. Martin; Sara Klingenstein (Int. J. Semantic Comput., 2007)

Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations. - Steven Bethard; James H. Martin (ACL (2), 2008)

Building a Corpus of Temporal-Causal Structure. - Steven Bethard; William J. Corvey; Sara Klingenstein; James H. Martin (LREC, 2008)

Semantic role labeling for protein transport predicates. - Steven Bethard; Zhiyong Lu; James H. Martin; Lawrence Hunter (BMC Bioinform., 2008)

Towards Temporal Relation Discovery from the Clinical Narrative. - Guergana Savova; Steven Bethard; William F. Styler IV; James H. Martin; Martha Palmer; James J. Masanz; Wayne H. Ward (AMIA, 2009)

Topic model methods for automatically identifying out-of-scope resources. - Steven Bethard; Soumya Ghosh; James H. Martin; Tamara Sumner (JCDL, 2009)

Automatically characterizing resource quality for educational digital libraries. - Steven Bethard; Philipp G. Wetzler; Kirsten R. Butcher; James H. Martin; Tamara Sumner (JCDL, 2009)

Decaptcha: Breaking 75% of eBay Audio CAPTCHAs. - Elie Bursztein; Steven Bethard (WOOT, 2009)

Automatically assessing resource quality for educational digital libraries. - Philipp G. Wetzler; Steven Bethard; Kirsten R. Butcher; James H. Martin; Tamara Sumner (WICOW, 2009)

Who should I cite: learning literature search models from citation behavior. - Steven Bethard; Dan Jurafsky (CIKM, 2010)

Crowdsourcing and language studies: the new generation of linguistic data. - Robert Munro; Steven Bethard; Victor Kuperman; Vicky Tzuyin Lai; Robin Melnick; Christopher Potts; Tyler Schnoebelen; Harry J. Tily (Mturk@HLT-NAACL, 2010)

How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation. - Elie Bursztein; Steven Bethard; Celine Fabry; John C. Mitchell; Daniel Jurafsky (IEEE Symposium on Security and Privacy, 2010)

Model-Portability Experiments for Textual Temporal Analysis. - Oleksandr Kolomiyets; Steven Bethard; Marie-Francine Moens (ACL (2), 2011)

Using Query Patterns to Learn the Duration of Events. - Andrey Gusev; Nathanael Chambers; Divye Raj Khilnani; Pranav Khaitan; Steven Bethard; Dan Jurafsky (IWCS, 2011)

Extracting Narrative Timelines as Temporal Dependency Structures. - Oleksandr Kolomiyets; Steven Bethard; Marie-Francine Moens (ACL (1), 2012)

Identifying science concepts and student misconceptions in an interactive essay writing tutor. - Steven Bethard; Ifeyinwa Okoye; Md. Arafat Sultan; Haojie Hang; James H. Martin; Tamara Sumner (BEA@NAACL-HLT, 2012)

Skip N-grams and Ranking Functions for Predicting Script Events. - Bram Jans; Steven Bethard; Ivan Vulic; Marie-Francine Moens (EACL, 2012)

Annotating Story Timelines as Temporal Dependency Structures. - Steven Bethard; Oleksandr Kolomiyets; Marie-Francine Moens (LREC, 2012)

SemEval-2012 Task 3: Spatial Role Labeling. - Parisa Kordjamshidi; Steven Bethard; Marie-Francine Moens (SemEval@NAACL-HLT, 2012)

Citation-based bootstrapping for large-scale author disambiguation. - Michael Levin 004; Stefan Krawczyk; Steven Bethard; Dan Jurafsky (J. Assoc. Inf. Sci. Technol., 2012)

Discovering Time Expressions in Clinical Text. - Timothy A. Miller; Dmitriy Dligach; Steven Bethard; Sameer Pradhan; Chen Lin 002; Guergana K. Savova (AMIA, 2013)

Discovering Temporal Narrative Containers in Clinical Text. - Timothy Miller 002; Steven Bethard; Dmitriy Dligach; Sameer Pradhan; Chen Lin 002; Guergana Savova (BioNLP@ACL, 2013)

A Synchronous Context Free Grammar for Time Normalization. - Steven Bethard (EMNLP, 2013)

Automatic extraction of core learning goals and generation of pedagogical sequences through a collection of digital library resources. - Ifeyinwa Okoye; Tamara Sumner; Steven Bethard (JCDL, 2013)

ClearTK-TimeML: A minimalist approach to TempEval 2013. - Steven Bethard (SemEval@NAACL-HLT, 2013)

SemEval-2013 Task 3: Spatial Role Labeling. - Oleksandr Kolomiyets; Parisa Kordjamshidi; Marie-Francine Moens; Steven Bethard (SemEval@NAACL-HLT, 2013)

CU : Computational Assessment of Short Free Text Answers - A Tool for Evaluating Students' Understanding. - Ifeyinwa Okoye; Steven Bethard; Tamara Sumner (SemEval@NAACL-HLT, 2013)

DLS$@$CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity. - Md. Arafat Sultan; Steven Bethard; Tamara Sumner (*SEM@NAACL-HLT, 2013)

Characterizing and Predicting the Multifaceted Nature of Quality in Educational Web Resources. - Philipp G. Wetzler; Steven Bethard; Heather Leary; Kirsten R. Butcher; Soheil Danesh Bahreini; Jin Zhao; James H. Martin; Tamara Sumner (ACM Trans. Interact. Intell. Syst., 2013)

Overview for the First Shared Task on Language Identification in Code-Switched Data. - Thamar Solorio; Elizabeth Blair; Suraj Maharjan; Steven Bethard; Mona T. Diab; Mahmoud Ghoneim; Abdelati Hawwari; Fahad AlGhamdi; Julia Hirschberg; Alison Chang; Pascale Fung (CodeSwitch@EMNLP, 2014)

An Annotation Framework for Dense Event Ordering. - Taylor Cassidy; Bill McDowell; Nathanael Chambers; Steven Bethard (ACL (2), 2014)

Descending-Path Convolution Kernel for Syntactic Structures. - Chen Lin 002; Timothy Miller 002; Alvin Kho; Steven Bethard; Dmitriy Dligach; Sameer Pradhan; Guergana Savova (ACL (2), 2014)

The Stanford CoreNLP Natural Language Processing Toolkit. - Christopher D. Manning; Mihai Surdeanu; John Bauer; Jenny Rose Finkel; Steven Bethard; David McClosky (ACL (System Demonstrations), 2014)

Easy does it: more usable CAPTCHAs. - Elie Bursztein; Angelique Moscicki; Celine Fabry; Steven Bethard; John C. Mitchell; Dan Jurafsky (CHI, 2014)

Cross-Topic Authorship Attribution: Will Out-Of-Topic Data Help? - Upendra Sapkota; Thamar Solorio; Manuel Montes-y-Gómez; Steven Bethard; Paolo Rosso (COLING, 2014)

Towards automatic identification of core concepts in educational resources. - Md. Arafat Sultan; Steven Bethard; Tamara Sumner (JCDL, 2014)

ClearTK 2.0: Design Patterns for Machine Learning in UIMA. - Steven Bethard; Philip V. Ogren; Lee Becker (LREC, 2014)

Identifying Weak Sentences in Student Drafts: A Tutoring System. - Samuel González López; Steven Bethard; Aurelio López-López (MIS4TEL, 2014)

Text Mining for Open Domain Semi-Supervised Semantic Role Labeling. - Quynh Ngoc Thi Do; Steven Bethard; Marie-Francine Moens (DMNLP@PKDD/ECML, 2014)

DLS$@$CU: Sentence Similarity from Word Alignment. - Md. Arafat Sultan; Steven Bethard; Tamara Sumner (SemEval@COLING, 2014)

Clinical TempEval. - Steven Bethard; Leon Derczynski; James Pustejovsky; Marc Verhagen (CoRR, 2014)

Discovering body site and severity modifiers in clinical texts. - Dmitriy Dligach; Steven Bethard; Lee Becker; Timothy Miller 002; Guergana K. Savova (J. Am. Medical Informatics Assoc., 2014)

Dense Event Ordering with a Multi-Pass Architecture. - Nathanael Chambers; Taylor Cassidy; Bill McDowell; Steven Bethard (Trans. Assoc. Comput. Linguistics, 2014)

Temporal Annotation in the Clinical Domain. - William F. Styler IV; Steven Bethard; Sean Finan; Martha Palmer; Sameer Pradhan; Piet C. de Groen; Bradley James Erickson; Timothy Miller 002; Chen Lin 002; Guergana K. Savova; James Pustejovsky (Trans. Assoc. Comput. Linguistics, 2014)

Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence. - Md. Arafat Sultan; Steven Bethard; Tamara Sumner (Trans. Assoc. Comput. Linguistics, 2014)

Predicting Continued Participation in Online Health Forums. - Farig Sadeque; Thamar Solorio; Ted Pedersen; Prasha Shrestha; Steven Bethard (Louhi@EMNLP, 2015)

Developing Language-tagged Corpora for Code-switching Tweets. - Suraj Maharjan; Elizabeth Blair; Steven Bethard; Thamar Solorio (LAW@NAACL-HLT, 2015)

Extracting Time Expressions from Clinical Text. - Timothy Miller 002; Steven Bethard; Dmitriy Dligach; Chen Lin 002; Guergana Savova (BioNLP@IJCNLP, 2015)

Adapting Coreference Resolution for Narrative Processing. - Quynh Ngoc Thi Do; Steven Bethard; Marie-Francine Moens (EMNLP, 2015)

Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment. - Md. Arafat Sultan; Steven Bethard; Tamara Sumner (EMNLP, 2015)

Not All Character N-grams Are Created Equal: A Study in Authorship Attribution. - Upendra Sapkota; Steven Bethard; Manuel Montes-y-Gómez; Thamar Solorio (HLT-NAACL, 2015)

SemEval-2015 Task 6: Clinical TempEval. - Steven Bethard; Leon Derczynski; Guergana Savova; James Pustejovsky; Marc Verhagen (SemEval@NAACL-HLT, 2015)

CUAB: Supervised Learning of Disorders and their Attributes using Relations. - James Gung; John David Osborne; Steven Bethard (SemEval@NAACL-HLT, 2015)

DLS$@$CU: Sentence Similarity from Word Alignment and Semantic Vector Composition. - Md. Arafat Sultan; Steven Bethard; Tamara Sumner (SemEval@NAACL-HLT, 2015)

A survey on the application of recurrent neural networks to statistical language modeling. - Wim De Mulder; Steven Bethard; Marie-Francine Moens (Comput. Speech Lang., 2015)

Domain Adaptation in Semantic Role Labeling Using a Neural Language Model and Linguistic Resources. - Quynh Ngoc Thi Do; Steven Bethard; Marie-Francine Moens (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Analysis of Anxious Word Usage on Online Health Forums. - Nicolas Rey-Villamizar; Prasha Shrestha; Farig Sadeque; Steven Bethard; Ted Pedersen; Arjun Mukherjee; Thamar Solorio (Louhi@EMNLP, 2016)

Why Do They Leave: Modeling Participation in Online Depression Forums. - Farig Sadeque; Ted Pedersen; Thamar Solorio; Prasha Shrestha; Nicolas Rey-Villamizar; Steven Bethard (SocialNLP@EMNLP, 2016)

Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning. - Upendra Sapkota; Thamar Solorio; Manuel Montes-y-Gómez; Steven Bethard (ACL (1), 2016)

Feature Portability in Cross-domain Clinical Coreference. - Timothy A. Miller; Dmitriy Dligach; Chen Lin 002; Steven Bethard; Guergana Savova (AMIA, 2016)

Improving Temporal Relation Extraction with Training Instance Augmentation. - Chen Lin 002; Timothy Miller 002; Dmitriy Dligach; Steven Bethard; Guergana Savova (BioNLP@ACL, 2016)

Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training. - Quynh Ngoc Thi Do; Steven Bethard; Marie-Francine Moens (COLING, 2016)

Towards Extracting Coherent User Concerns and Their Hierarchical Organization from User Reviews. - Ligaj Pradhan; Chengcui Zhang; Steven Bethard (IRI, 2016)

A Semantically Compositional Annotation Scheme for Time Normalization. - Steven Bethard; Jonathan Parker (LREC, 2016)

Age and Gender Prediction on Health Forum Data. - Prasha Shrestha; Nicolas Rey-Villamizar; Farig Sadeque; Ted Pedersen; Steven Bethard; Thamar Solorio (LREC, 2016)

Semi-supervised CLPsych 2016 Shared Task System Submission. - Nicolas Rey-Villamizar; Prasha Shrestha; Thamar Solorio; Farig Sadeque; Steven Bethard; Ted Pedersen (CLPsych@HLT-NAACL, 2016)

SemEval-2016 Task 12: Clinical TempEval. - Steven Bethard; Guergana Savova; Wei-Te Chen; Leon Derczynski; James Pustejovsky; Marc Verhagen (SemEval@NAACL-HLT, 2016)

DLS$@$CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity. - Md. Arafat Sultan; Steven Bethard; Tamara Sumner (SemEval@NAACL-HLT, 2016)

Extracting Hierarchy of Coherent User-Concerns to Discover Intricate User Behavior from User Reviews. - Ligaj Pradhan; Chengcui Zhang; Steven Bethard (Int. J. Multim. Data Eng. Manag., 2016)

Multilayered temporal modeling for the clinical domain. - Chen Lin 002; Dmitriy Dligach; Timothy A. Miller; Steven Bethard; Guergana K. Savova (J. Am. Medical Informatics Assoc., 2016)

Efficient identification of nationally mandated reportable cancer cases using natural language processing and machine learning. - John David Osborne; Matthew C. Wyatt; Andrew O. Westfall; James H. Willig; Steven Bethard; Geoffrey D. Gordon (J. Am. Medical Informatics Assoc., 2016)

Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports. - Natalia Viani; Timothy A. Miller; Dmitriy Dligach; Steven Bethard; Carlo Napolitano; Silvia G. Priori; Riccardo Bellazzi; Lucia Sacchi; Guergana K. Savova (AIME, 2017)

Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks. - Chen Lin 002; Timothy Miller 002; Dmitriy Dligach; Steven Bethard; Guergana Savova (BioNLP, 2017)

Unsupervised Domain Adaptation for Clinical Negation Detection. - Timothy A. Miller; Steven Bethard; Hadi Amiri; Guergana Savova (BioNLP, 2017)

UArizona at the CLEF eRisk 2017 Pilot Task: Linear and Recurrent Models for Early Depression Detection. - Farig Sadeque; Dongfang Xu; Steven Bethard (CLEF (Working Notes), 2017)

Neural Temporal Relation Extraction. - Dmitriy Dligach; Timothy Miller 002; Chen Lin 002; Steven Bethard; Guergana Savova (EACL (2), 2017)

Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments. - Quynh Ngoc Thi Do; Steven Bethard; Marie-Francine Moens (IJCNLP(1), 2017)

Infusing Latent User-Concerns from User Reviews into Collaborative Filtering. - Ligaj Pradhan; Chengcui Zhang; Steven Bethard (IRI, 2017)

SemEval-2017 Task 12: Clinical TempEval. - Steven Bethard; Guergana Savova; Martha Palmer; James Pustejovsky (SemEval@ACL, 2017)

Towards generalizable entity-centric clinical coreference resolution. - Timothy Miller 002; Dmitriy Dligach; Steven Bethard; Chen Lin 002; Guergana Savova (J. Biomed. Informatics, 2017)

Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction. - Chen Lin 002; Timothy Miller 002; Dmitriy Dligach; Hadi Amiri; Steven Bethard; Guergana Savova (Louhi@EMNLP, 2018)

A Survey on Recent Advances in Named Entity Recognition from Deep Learning models. - Vikas Yadav; Steven Bethard (COLING, 2018)

UArizona at the MADE1.0 NLP Challenge. - Dongfang Xu; Vikas Yadav; Steven Bethard (Medication and Adverse Drug Event Detection, 2018)

Embedding User Behavioral Aspect in TF-IDF Like Representation. - Ligaj Pradhan; Chengcui Zhang; Steven Bethard; Xin Chen (MIPR, 2018)

SemEval 2018 Task 6: Parsing Time Normalizations. - Egoitz Laparra; Dongfang Xu; Ahmed Elsayed; Steven Bethard; Martha Palmer (SemEval@NAACL-HLT, 2018)

Deep Affix Features Improve Neural Named Entity Recognizers. - Vikas Yadav; Rebecca Sharp; Steven Bethard (*SEM@NAACL-HLT, 2018)

Measuring the Latency of Depression Detection in Social Media. - Farig Sadeque; Dongfang Xu; Steven Bethard (WSDM, 2018)

CUILESS2016: a clinical corpus applying compositional normalization of text mentions. - John David Osborne; Matthew B. Neu; Maria I. Danila; Thamar Solorio; Steven J. Bethard (J. Biomed. Semant., 2018)

From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time Normalizations. - Egoitz Laparra; Dongfang Xu; Steven Bethard (Trans. Assoc. Comput. Linguistics, 2018)

Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering. - Vikas Yadav; Steven Bethard; Mihai Surdeanu (EMNLP/IJCNLP (1), 2019)

Inferring missing metadata from environmental policy texts. - Steven Bethard; Egoitz Laparra; Sophia Wang; Yiyun Zhao; Ragheb Al-Ghezi; Aaron Lien; Laura López-Hoffman (LaTeCH@NAACL-HLT, 2019)

Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. - Rebecca Sharp; Adarsh Pyarelal; Benjamin M. Gyori; Keith Alcock; Egoitz Laparra; Marco Antonio Valenzuela-Escárcega; Ajay Nagesh; Vikas Yadav; John A. Bachman; Zheng Tang; Heather C. Lent; Fan Luo; et al. (NAACL-HLT (Demonstrations), 2019)

Alignment over Heterogeneous Embeddings for Question Answering. - Vikas Yadav; Steven Bethard; Mihai Surdeanu (NAACL-HLT (1), 2019)

University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities. - Vikas Yadav; Egoitz Laparra; Ti-Tai Wang; Mihai Surdeanu; Steven Bethard (SemEval@NAACL-HLT, 2019)

Incivility Detection in Online Comments. - Farig Sadeque; Stephen A. Rains; Yotam Shmargad; Kate Kenski; Kevin Coe; Steven Bethard (*SEM@NAACL-HLT, 2019)

Pre-trained Contextualized Character Embeddings Lead to Major Improvements in Time Normalization: a Detailed Analysis. - Dongfang Xu; Egoitz Laparra; Steven Bethard (*SEM@NAACL-HLT, 2019)

Predicting engagement in online social networks: Challenges and opportunities. - Farig Sadeque; Steven Bethard (CoRR, 2019)

A Model for Identifying Steps in Undergraduate Thesis Methodology. - Samuel González López; Aurelio López-López; Steven Bethard; Jesús Miguel García Gorrostieta (Res. Comput. Sci., 2019)

Fine-tuning for multi-domain and multi-label uncivil language detection. - Kadir Bulut Özler; Kate Kenski; Stephen A. Rains; Yotam Shmargad; Kevin Coe; Steven Bethard (WOAH, 2020)

Defining and Learning Refined Temporal Relations in the Clinical Narrative. - Kristin Wright-Bettner; Chen Lin 002; Timothy Miller 002; Steven Bethard; Dmitriy Dligach; Martha Palmer; James H. Martin; Guergana Savova (LOUHI@EMNLP, 2020)

A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization. - Dongfang Xu; Zeyu Zhang 002; Steven Bethard (ACL, 2020)

Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering. - Vikas Yadav; Steven Bethard; Mihai Surdeanu (ACL, 2020)

How does BERT's attention change when you fine-tune? An analysis methodology and a case study in negation scope. - Yiyun Zhao; Steven Bethard (ACL, 2020)

Assisting Undergraduate Students in Writing Spanish Methodology Sections. - Samuel González López; Steven Bethard; Aurelio López-López (BEA@ACL, 2020)

A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction. - Chen Lin 002; Timothy Miller 002; Dmitriy Dligach; Farig Sadeque; Steven Bethard; Guergana Savova (BioNLP, 2020)

A Dataset and Evaluation Framework for Complex Geographical Description Parsing. - Egoitz Laparra; Steven Bethard (COLING, 2020)

TTUI at SemEval-2020 Task 11: Propaganda Detection with Transfer Learning and Ensembles. - Moonsung Kim; Steven Bethard (SemEval@COLING, 2020)

Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical Match. - Vikas Yadav; Steven Bethard; Mihai Surdeanu (SIGIR, 2020)

Does BERT need domain adaptation for clinical negation detection? - Chen Lin 002; Steven Bethard; Dmitriy Dligach; Farig Sadeque; Guergana Savova; Timothy A. Miller (J. Am. Medical Informatics Assoc., 2020)

Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)-based ranking for concept normalization. - Dongfang Xu; Manoj Gopale; Jiacheng Zhang; Kris Brown; Edmon Begoli; Steven Bethard (J. Am. Medical Informatics Assoc., 2020)

Detection of Puffery on the English Wikipedia. - Amanda Bertsch; Steven Bethard (W-NUT, 2021)

EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain. - Chen Lin 002; Timothy Miller 002; Dmitriy Dligach; Steven Bethard; Guergana Savova (BioNLP@NAACL-HLT, 2021)

Triplet-Trained Vector Space and Sieve-Based Search Improve Biomedical Concept Normalization. - Dongfang Xu; Steven Bethard (BioNLP@NAACL-HLT, 2021)

Do pretrained transformers infer telicity like humans? - Yiyun Zhao; Jian Gang Ngui; Lucy Hall Hartley; Steven Bethard (CoNLL, 2021)

Explainable Multi-hop Verbal Reasoning Through Internal Monologue. - Zhengzhong Liang; Steven Bethard; Mihai Surdeanu (NAACL-HLT, 2021)

If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering. - Vikas Yadav; Steven Bethard; Mihai Surdeanu (NAACL-HLT, 2021)

SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing. - Egoitz Laparra; Xin Su 008; Yiyun Zhao; Özlem Uzuner; Timothy A. Miller; Steven Bethard (SemEval@ACL/IJCNLP, 2021)

The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation. - Xin Su 008; Yiyun Zhao; Steven Bethard (SemEval@ACL/IJCNLP, 2021)

Consumer Cynicism Identification for Spanish Reviews using a Spanish Transformer Model. - Samuel González López; Steven Bethard; Francisca Cecilia Encinas Orozco; Adrián Pastor López-Monroy (Proces. del Leng. Natural, 2021)

A Comparison of Strategies for Source-Free Domain Adaptation. - Xin Su 008; Yiyun Zhao; Steven Bethard (ACL (1), 2022)

UA-KO at SemEval-2022 Task 11: Data Augmentation and Ensembles for Korean Named Entity Recognition. - Hyunju Song; Steven Bethard (SemEval@NAACL, 2022)

TEAM-Atreides at SemEval-2022 Task 11: On leveraging data augmentation and ensemble to recognize complex Named Entities in Bangla. - Nazia Tasnim; Md. Istiak Hossain Shihab; Asif Shahriyar Sushmit; Steven Bethard; Farig Sadeque (SemEval@NAACL, 2022)

Better Retrieval May Not Lead to Better Question Answering. - Zhengzhong Liang; Tushar Khot; Steven Bethard; Mihai Surdeanu; Ashish Sabharwal (CoRR, 2022)

We need to talk about random seeds. - Steven Bethard (CoRR, 2022)

clulab at MEDIQA-Chat 2023: Summarization and classification of medical dialogues. - Kadir Bulut Özler; Steven Bethard (ClinicalNLP@ACL, 2023)

Textual Entailment for Temporal Dependency Graph Parsing. - Jiarui Yao; Steven Bethard; Kristin Wright-Bettner; Eli Goldner; David Harris 004; Guergana Savova (ClinicalNLP@ACL, 2023)

Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models. - Lijing Wang 001; Yingya Li; Timothy Miller 002; Steven Bethard; Guergana Savova (ACL (1), 2023)

End-to-end clinical temporal information extraction with multi-head attention. - Timothy Miller 002; Steven Bethard; Dmitriy Dligach; Guergana Savova (BioNLP@ACL, 2023)

Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering. - Xin Su 008; Phillip Howard; Nagib Hakim; Steven Bethard (EMNLP (Findings), 2023)

Gallagher at SemEval-2023 Task 5: Tackling Clickbait with Seq2Seq Models. - Tugay Bilgis; Nimet Beyza Bozdag; Steven Bethard (SemEval@ACL, 2023)

Arizonans at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis with XLM-T. - Nimet Beyza Bozdag; Tugay Bilgis; Steven Bethard (SemEval@ACL, 2023)

Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage Resolution. - Zeyu Zhang 002; Steven Bethard (*SEM@ACL, 2023)

Transformer-based cynical expression detection in a corpus of Spanish YouTube reviews. - Samuel González López; Steven Bethard (WASSA@ACL, 2023)

Explainable Verbal Reasoner Plus (EVR+): A Natural Language Reasoning Framework that Supports Diverse Compositional Reasoning. - Zhengzhong Liang; Zeyu Zhang 002; Steven Bethard; Mihai Surdeanu (CoRR, 2023)

Addressing structural hurdles for metadata extraction from environmental impact statements. - Egoitz Laparra; Alex Binford-Walsh; Kirk Emerson; Marc L. Miller; Laura López-Hoffman; Faiz Currim; Steven Bethard (J. Assoc. Inf. Sci. Technol., 2023)

Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning. - Xin Su 008; Tiep Le; Steven Bethard; Phillip Howard (NAACL-HLT, 2024)

Improving Toponym Resolution by Predicting Attributes to Constrain Geographical Ontology Entries. - Zeyu Zhang 002; Egoitz Laparra; Steven Bethard (NAACL (Short Papers), 2024)

hinoki at SemEval-2024 Task 7: Numeral-Aware Headline Generation (English). - Hinoki Crum; Steven Bethard (SemEval@NAACL, 2024)

CLULab-UofA at SemEval-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text Classification. - MohammadHossein Rezaei; Yeaeun Kwon; Reza Sanayei; Abhyuday Singh; Steven Bethard (SemEval@NAACL, 2024)

MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity. - Reza Sanayei; Abhyuday Singh; MohammadHossein Rezaei; Steven Bethard (SemEval@NAACL, 2024)

Memorization In In-Context Learning. - Shahriar Golchin; Mihai Surdeanu; Steven Bethard; Eduardo Blanco 002; Ellen Riloff (CoRR, 2024)

Identifying task groupings for multi-task learning using pointwise V-usable information. - Yingya Li; Timothy A. Miller; Steven Bethard; Guergana Savova (J. Biomed. Informatics, 2025)

Transformer-Based Temporal Information Extraction and Application: A Review. - Xin Su 008; Phillip Howard; Steven Bethard (CoRR, 2025)

A survey on geocoding: algorithms and datasets for toponym resolution. - Zeyu Zhang 002; Steven Bethard (Lang. Resour. Evaluation, 2025)

A Semantic Parsing Framework for End-to-End Time Normalization. - Xin Su 008; Sungduk Yu; Phillip Howard; Steven Bethard (CoRR, 2025)