Steven Bethard

发表

The Stanford CoreNLP Natural Language Processing Toolkit

Mihai Surdeanu, Christopher D. Manning, Steven Bethard, 2014, ACL.

DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition

Steven Bethard, Tamara Sumner, Md. Arafat Sultan, 2015, *SEMEVAL.

Discovering Narrative Containers in Clinical Text

Steven Bethard, Sameer Pradhan, Chen Lin, 2013 .

Clinical TempEval pdf

James Pustejovsky, Leon Derczynski, Steven Bethard, 2014, ArXiv.

DLS@CU: Sentence Similarity from Word Alignment

Steven Bethard, Tamara Sumner, Md. Arafat Sultan, 2014, *SEMEVAL.

SemEval-2017 Task 12: Clinical TempEval

James Pustejovsky, Martha Palmer, Steven Bethard, 2017, *SEMEVAL.

Decaptcha: Breaking 75% of eBay Audio CAPTCHAs

Steven Bethard, Elie Bursztein, Steven Bethard, 2009, WOOT.

A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction

Timothy Miller, Steven Bethard, Dmitriy Dligach, 2019, Proceedings of the 2nd Clinical Natural Language Processing Workshop.

Citation-based bootstrapping for large-scale author disambiguation

Daniel Jurafsky, Steven Bethard, Michael Levin, 2012, J. Assoc. Inf. Sci. Technol..

Constraint Satisfaction Problems

Steven Bethard, 1997 .

Finding event, temporal and causal structure in text: a machine learning approach

Steven Bethard, James H. Martin, James H. Martin, 2007 .

Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

Marine Carpuat, David Jurgens, Steven Bethard, 2015 .

Predicting engagement in online social networks: Challenges and opportunities

Steven Bethard, Farig Sadeque, 2019, ArXiv.

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

David Yarowsky, Timothy Baldwin, Steven Bethard, 2013, EMNLP 2013.

Better Retrieval May Not Lead to Better Question Answering

Ashish Sabharwal, M. Surdeanu, Steven Bethard, 2022, ArXiv.

Toward NEPA performance: A framework for assessing EIAs

Tyler A. Scott, Aaron M. Lien, S. Ram, 2022, Environmental Impact Assessment Review.

Adapting Coreference Resolution for Narrative Processing

Marie-Francine Moens, Steven Bethard, Quynh Ngoc Thi Do, 2015, EMNLP.

Proceedings of the EACL 2014 Workshop on Computational Approaches to Causality in Language (CAtoCL)

Marie-Francine Moens, James Pustejovsky, Martha Palmer, 2014, EACL 2014.

Do pretrained transformers infer telicity like humans?

Jian Gang Ngui, Steven Bethard, Yiyun Zhao, 2021, CONLL.

If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering

Mihai Surdeanu, Steven Bethard, Vikas Yadav, 2021, NAACL.

Predicting engagement in online social networks: Challenges and opportunities pdf

Steven Bethard, Farig Sadeque, Steven Bethard, 2019, ArXiv.

Timelines from Text: Identification of Syntactic Temporal Relations

James H. Martin, Steven Bethard, Sara Klingenstein, 2007, International Conference on Semantic Computing (ICSC 2007).

Identifying science concepts and student misconceptions in an interactive essay writing tutor

James H. Martin, Steven Bethard, Tamara Sumner, 2012, BEA@NAACL-HLT.

UArizona at the CLEF eRisk 2017 Pilot Task: Linear and Recurrent Models for Early Depression Detection

Steven Bethard, Farig Sadeque, Dongfang Xu, 2017, CLEF.

Automatic extraction of core learning goals and generation of pedagogical sequences through a collection of digital library resources

Steven Bethard, Tamara Sumner, Ifeyinwa Okoye, 2013, JCDL '13.

Using Query Patterns to Learn the Duration of Events

Nathanael Chambers, Daniel Jurafsky, Steven Bethard, 2011, IWCS.

Efficient identification of nationally mandated reportable cancer cases using natural language processing and machine learning

Steven Bethard, James H. Willig, John D. Osborne, 2016, J. Am. Medical Informatics Assoc..

Taxonomy Builder: a Data-driven and User-centric Tool for Streamlining Taxonomy Construction

Benjamin M. Gyori, Yee Seng Chan, M. Surdeanu, 2022, HCINLP.

Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models

Egoitz Laparra, Clayton T. Morrison, Mihai Surdeanu, 2019, NAACL.

Building a Foundation System for Producing Short Answers to Factual Questions

Hong Yu, Daniel Jurafsky, Vasileios Hatzivassiloglou, 2002, TREC.

Developing Language-tagged Corpora for Code-switching Tweets

Steven Bethard, Thamar Solorio, Suraj Maharjan, 2015, LAW@NAACL-HLT.

Overview for the First Shared Task on Language Identification in Code-Switched Data

Julia Hirschberg, Pascale Fung, Steven Bethard, 2014, CodeSwitch@EMNLP.

Towards Extracting Coherent User Concerns and Their Hierarchical Organization from User Reviews

Chengcui Zhang, Steven Bethard, Ligaj Pradhan, 2016, 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI).

Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization

Steven Bethard, Edmon Begoli, Dongfang Xu, 2020, J. Am. Medical Informatics Assoc..

A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization

Steven Bethard, Zeyu Zhang, Dongfang Xu, 2020, ACL.

Topic model methods for automatically identifying out-of-scope resources

Soumya Ghosh, James H. Martin, Steven Bethard, 2009, JCDL '09.

Not All Character N-grams Are Created Equal: A Study in Authorship Attribution

Steven Bethard, Manuel Montes-y-Gómez, Thamar Solorio, 2015, NAACL.

Rethinking domain adaptation for machine learning over clinical language

Egoitz Laparra, Steven Bethard, Timothy A. Miller, 2020, JAMIA open.

Deep Affix Features Improve Neural Named Entity Recognizers

Steven Bethard, Rebecca Sharp, Vikas Yadav, 2018, *SEMEVAL.

Neural Temporal Relation Extraction

Chen Lin, Steven Bethard, Guergana K. Savova, 2017, EACL.

How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation

John C. Mitchell, Daniel Jurafsky, Steven Bethard, 2010, 2010 IEEE Symposium on Security and Privacy.

A survey on the application of recurrent neural networks to statistical language modeling

Marie-Francine Moens, Steven Bethard, Wim De Mulder, 2015, Comput. Speech Lang..

A Survey on Recent Advances in Named Entity Recognition from Deep Learning models

Steven Bethard, Vikas Yadav, Steven Bethard, 2018, COLING.

Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering pdf

Mihai Surdeanu, Steven Bethard, Vikas Yadav, 2020, ACL.

Improving Temporal Relation Extraction with Training Instance Augmentation

Chen Lin, Steven Bethard, Guergana K. Savova, 2016, BioNLP@ACL.

SemEval-2016 Task 12: Clinical TempEval

James Pustejovsky, Leon Derczynski, Steven Bethard, 2016, NAACL 2016.

SemEval-2015 Task 6: Clinical TempEval

James Pustejovsky, Leon Derczynski, Steven Bethard, 2015, *SEMEVAL.

Temporal Annotation in the Clinical Domain

Chen Lin, James Pustejovsky, Steven Bethard, 2014, TACL.

Constraint Satisfaction Problems

Steven Bethard, 1997 .

Crowdsourcing and language studies: the new generation of linguistic data

Victor Kuperman, Christopher Potts, Steven Bethard, 2010, Mturk@HLT-NAACL.

Measuring the Latency of Depression Detection in Social Media

Steven Bethard, Farig Sadeque, Dongfang Xu, 2018, WSDM.

Building Test Suites for UIMA Components

Steven Bethard, Philip V. Ogren, Steven Bethard, 2009 .

Does BERT need domain adaptation for clinical negation detection?

Steven Bethard, Dmitriy Dligach, Farig Sadeque, 2020, J. Am. Medical Informatics Assoc..

Skip N-grams and Ranking Functions for Predicting Script Events

Marie-Francine Moens, Steven Bethard, Ivan Vulic, 2012, EACL.

Explainable Verbal Reasoner Plus (EVR+): A Natural Language Reasoning Framework that Supports Diverse Compositional Reasoning

M. Surdeanu, Steven Bethard, Zhengzhong Liang, 2023, ArXiv.

Explainable Multi-hop Verbal Reasoning Through Internal Monologue

Mihai Surdeanu, Steven Bethard, Zhengzhong Liang, 2021, NAACL.

Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering

Mihai Surdeanu, Steven Bethard, Vikas Yadav, 2019, EMNLP.

Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence

Steven Bethard, Tamara Sumner, Md. Arafat Sultan, 2014, TACL.

Defining and Learning Refined Temporal Relations in the Clinical Narrative

Martha Palmer, Steven Bethard, Chen Lin, 2020, LOUHI.

Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage Resolution

Steven Bethard, Zeyu Zhang, 2023, STARSEM.

Dense Event Ordering with a Multi-Pass Architecture

Taylor Cassidy, Nathanael Chambers, Steven Bethard, 2014, TACL.

Who should I cite: learning literature search models from citation behavior

Daniel Jurafsky, Steven Bethard, Dan Jurafsky, 2010, CIKM.

SemEval-2012 Task 3: Spatial Role Labeling

Steven Bethard, Parisa Kordjamshidi, Marie-Francine Moens, 2012, *SEMEVAL.

Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction

Chen Lin, Steven Bethard, Guergana K. Savova, 2018, Louhi@EMNLP.

Towards generalizable entity-centric clinical coreference resolution

Chen Lin, Steven Bethard, Guergana K. Savova, 2017, J. Biomed. Informatics.

EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain

Timothy Miller, Steven Bethard, Dmitriy Dligach, 2021, BIONLP.

Unsupervised Domain Adaptation for Clinical Negation Detection

Steven Bethard, Guergana K. Savova, Timothy A. Miller, 2017, BioNLP.

DLS@CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity

Steven Bethard, Tamara Sumner, Md. Arafat Sultan, 2016, *SEMEVAL.

Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment

Steven Bethard, Tamara Sumner, Md. Arafat Sultan, 2015, EMNLP.

Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium.

Cui Tao, Christopher G Chute, Timothy Miller, 2013, Journal of the American Medical Informatics Association : JAMIA.

Engagement with partisan Russian troll tweets during the 2016 U.S. presidential election: a social identity perspective

Stephen A. Rains, Steven Bethard, K. Kenski, 2022, Journal of Communication.

Assessing the Russian Troll Efforts to Sow Discord on Twitter during the 2016 U.S. Election

Stephen A. Rains, Steven Bethard, K. Kenski, 2021, Human Communication Research.

Analysis of Anxious Word Usage on Online Health Forums

Ted Pedersen, Steven Bethard, Arjun Mukherjee, 2016, Louhi@EMNLP.

Why Do They Leave: Modeling Participation in Online Depression Forums

Ted Pedersen, Steven Bethard, Thamar Solorio, 2016, SocialNLP@EMNLP.

Multilayered temporal modeling for the clinical domain

Chen Lin, Steven Bethard, Guergana K. Savova, 2016, J. Am. Medical Informatics Assoc..

Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks

Chen Lin, Steven Bethard, Guergana K. Savova, 2017, BioNLP.

A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction

Steven Bethard, Guergana K. Savova, Timothy A. Miller, 2020, BIONLP.

Domain Adaptation in Semantic Role Labeling Using a Neural Language Model and Linguistic Resources

Marie-Francine Moens, Steven Bethard, Quynh Ngoc Thi Do, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning

Steven Bethard, Thamar Solorio, Manuel Montes-y-Gómez, 2016, ACL.

Cross-Topic Authorship Attribution: Will Out-Of-Topic Data Help?

Paolo Rosso, Steven Bethard, Manuel Montes-y-Gómez, 2014, COLING.

Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical Match

Mihai Surdeanu, Steven Bethard, Vikas Yadav, 2020, SIGIR.

Semantic role labeling for protein transport predicates

Zhiyong Lu, Lawrence Hunter, James H. Martin, 2008, BMC Bioinformatics.

Triplet-Trained Vector Space and Sieve-Based Search Improve Biomedical Concept Normalization

Steven Bethard, Dongfang Xu, Steven Bethard, 2021, BIONLP.

Building a Corpus of Temporal-Causal Structure

James H. Martin, Steven Bethard, William J. Corvey, 2008, LREC.

An Annotation Framework for Dense Event Ordering

Taylor Cassidy, Nathanael Chambers, Steven Bethard, 2014, ACL.

Extracting Time Expressions from Clinical Text

Chen Lin, Steven Bethard, Guergana K. Savova, 2015, BioNLP@IJCNLP.

Easy does it: more usable CAPTCHAs

John C. Mitchell, Daniel Jurafsky, Steven Bethard, 2014, CHI.

Model-Portability Experiments for Textual Temporal Analysis

Marie-Francine Moens, Steven Bethard, Oleksandr Kolomiyets, 2011, ACL.

Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations

James H. Martin, Steven Bethard, Steven Bethard, 2008, ACL.

Alignment over Heterogeneous Embeddings for Question Answering

Mihai Surdeanu, Steven Bethard, Vikas Yadav, 2019, NAACL.

Semantically Informed Machine Translation ( SIMT )

Lori Levin, Lane Schwartz, Chris Callison-Burch, 2009 .

SemEval 2018 Task 6: Parsing Time Normalizations

Egoitz Laparra, Martha Palmer, Steven Bethard, 2018, *SEMEVAL.

From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time Normalizations

Egoitz Laparra, Steven Bethard, Dongfang Xu, 2018, TACL.

A Semantically Compositional Annotation Scheme for Time Normalization

Steven Bethard, Jonathan Parker, Steven Bethard, 2016, LREC.

A Synchronous Context Free Grammar for Time Normalization

Steven Bethard, Steven Bethard, 2013, EMNLP.

ClearTK-TimeML: A minimalist approach to TempEval 2013

Steven Bethard, Steven Bethard, 2013, *SEMEVAL.

Predicting Continued Participation in Online Health Forums

Ted Pedersen, Steven Bethard, Thamar Solorio, 2015, Louhi@EMNLP.

Unstructured Information Management Architecture (uima) 3rd Uima@gscl Workshop Program Committee Additional Reviewers Keynote: Apache Clinical Text Analysis and Knowledge Extraction System (ctakes) . . . . 1 Cse Framework: a Uima-based Distributed System for Configuration Space Exploration 14 Keynot

Steven Bethard, Ekaterina Buyko, KU Leuven, 2013 .

Extracting Narrative Timelines as Temporal Dependency Structures

Marie-Francine Moens, Steven Bethard, Oleksandr Kolomiyets, 2012, ACL.

Annotating Story Timelines as Temporal Dependency Structures

Marie-Francine Moens, Steven Bethard, Oleksandr Kolomiyets, 2012, LREC.

Age and Gender Prediction on Health Forum Data

Ted Pedersen, Steven Bethard, Thamar Solorio, 2016, LREC.

Descending-Path Convolution Kernel for Syntactic Structures

Chen Lin, Steven Bethard, Sameer Pradhan, 2014, ACL.

How does BERT’s attention change when you fine-tune? An analysis methodology and a case study in negation scope

Yiyun Zhao, Steven Bethard, Steven Bethard, 2020, ACL.

Conference on Empirical Methods in Natural Language Processing Proceedings of the Fourth International Workshop on Natural Language Processing for Social Media Socialnlp@emnlp2016 Chairs' Welcome Identifying and Categorizing Disaster-related Tweets Why Do They Leave: Modeling Participation in Online

Nicholas Jing Yuan, Noah A. Smith, William Yang Wang, 2022 .

Discovering Temporal Narrative Containers in Clinical Text

Chen Lin, Steven Bethard, Sameer Pradhan, 2013, BioNLP@ACL.

Towards Temporal Relation Discovery from the Clinical Narrative

Wayne H. Ward, James H. Martin, Steven Bethard, 2009, AMIA.

CUAB: Supervised Learning of Disorders and their Attributes using Relations

Steven Bethard, James Gung, John D. Osborne, 2015, *SEMEVAL.

Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning

Steven Bethard, Tiep Le, Xin Su, 2023, ArXiv.

CU-TMP: Temporal Relation Classification Using Syntactic and Semantic Features

James H. Martin, Steven Bethard, Steven Bethard, 2007, Fourth International Workshop on Semantic Evaluations (SemEval-2007).

Automatic Extraction of Opinion Propositions and their Holders

Dan Jurafsky, V. Hatzivassiloglou, Steven Bethard, 2004 .

Arizonans at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis with XLM-T

Steven Bethard, S. Bethard, Nimet Beyza Bozdag, 2023, SEMEVAL.

CU : Computational Assessment of Short Free Text Answers - A Tool for Evaluating Students’ Understanding

Steven Bethard, Tamara Sumner, Ifeyinwa Okoye, 2013, *SEMEVAL.

Infusing Latent User-Concerns from User Reviews into Collaborative Filtering

Chengcui Zhang, Steven Bethard, Ligaj Pradhan, 2017, 2017 IEEE International Conference on Information Reuse and Integration (IRI).

Extracting Hierarchy of Coherent User-Concerns to Discover Intricate User Behavior from User Reviews

Chengcui Zhang, Steven Bethard, Ligaj Pradhan, 2016, Int. J. Multim. Data Eng. Manag..

Topic Model Analysis of Metaphor Frequency for Psycholinguistic Stimuli

James H. Martin, Steven Bethard, Vicky Tzuyin Lai, 2009, HLT-NAACL 2009.

A Model for Identifying Steps in Undergraduate Thesis Methodology

Steven Bethard, Aurelio López-López, Samuel González-López, 2019, Research on computing science.