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Steven J. Bethard
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- affiliation: University of Arizona, School of Information, Tucson, AZ, USA
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2020 – today
- 2024
[c119]Zeyu Zhang, Egoitz Laparra, Steven Bethard:
Improving Toponym Resolution by Predicting Attributes to Constrain Geographical Ontology Entries. NAACL (Short Papers) 2024: 35-44- [c118]Xin Su, Tiep Le, Steven Bethard, Phillip Howard:
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning. NAACL-HLT 2024: 8597-8613 - [c117]Hinoki Crum, Steven Bethard:
hinoki at SemEval-2024 Task 7: Numeral-Aware Headline Generation (English). SemEval@NAACL 2024: 34-39 - [c116]MohammadHossein Rezaei, Yeaeun Kwon, Reza Sanayei, Abhyuday Singh, Steven Bethard:
CLULab-UofA at SemEval-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text Classification. SemEval@NAACL 2024: 1498-1504 - [c115]Reza Sanayei, Abhyuday Singh, MohammadHossein Rezaei, Steven Bethard:
MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity. SemEval@NAACL 2024: 1584-1588 - [e11]Tristan Naumann, Asma Ben Abacha, Steven Bethard, Kirk Roberts, Danielle S. Bitterman:
Proceedings of the 6th Clinical Natural Language Processing Workshop, ClinicalNLP@NAACL 2024, Mexico City, Mexico, June 21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-109-4 [contents] - [e10]Kevin Duh, Helena Gómez-Adorno, Steven Bethard:
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, NAACL 2024, Mexico City, Mexico, June 16-21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-115-5 [contents] - [e9]Kevin Duh, Helena Gómez-Adorno, Steven Bethard:
Findings of the Association for Computational Linguistics: NAACL 2024, Mexico City, Mexico, June 16-21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-119-3 [contents] - [i14]Shahriar Golchin, Mihai Surdeanu, Steven Bethard, Eduardo Blanco, Ellen Riloff:
Memorization In In-Context Learning. CoRR abs/2408.11546 (2024) - 2023
- [j21]Egoitz Laparra
, Alex Binford-Walsh, Kirk Emerson, Marc L. Miller, Laura López-Hoffman, Faiz Currim, Steven Bethard:
Addressing structural hurdles for metadata extraction from environmental impact statements. J. Assoc. Inf. Sci. Technol. 74(9): 1124-1139 (2023) - [c114]Lijing Wang, Yingya Li, Timothy A. Miller, Steven Bethard, Guergana Savova:
Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models. ACL (1) 2023: 15746-15761 - [c113]Kadir Bulut Özler, Steven Bethard:
clulab at MEDIQA-Chat 2023: Summarization and classification of medical dialogues. ClinicalNLP@ACL 2023: 144-149 - [c112]Jiarui Yao, Steven Bethard, Kristin Wright-Bettner, Eli Goldner, David Harris, Guergana Savova:
Textual Entailment for Temporal Dependency Graph Parsing. ClinicalNLP@ACL 2023: 191-199 - [c111]Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Guergana Savova:
End-to-end clinical temporal information extraction with multi-head attention. BioNLP@ACL 2023: 313-319 - [c110]Xin Su, Phillip Howard, Nagib Hakim, Steven Bethard:
Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering. EMNLP (Findings) 2023: 948-966 - [c109]Tugay Bilgis, Nimet Beyza Bozdag, Steven Bethard:
Gallagher at SemEval-2023 Task 5: Tackling Clickbait with Seq2Seq Models. SemEval@ACL 2023: 1650-1655 - [c108]Nimet Beyza Bozdag, Tugay Bilgis, Steven Bethard:
Arizonans at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis with XLM-T. SemEval@ACL 2023: 1656-1659 - [c107]Zeyu Zhang, Steven Bethard:
Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage Resolution. *SEM@ACL 2023: 48-60 - [c106]Samuel González López, Steven Bethard:
Transformer-based cynical expression detection in a corpus of Spanish YouTube reviews. WASSA@ACL 2023: 194-201 - [e8]Tristan Naumann, Asma Ben Abacha, Steven Bethard, Kirk Roberts, Anna Rumshisky:
Proceedings of the 5th Clinical Natural Language Processing Workshop, ClinicalNLP@ACL 2023, Toronto, Canada, July 14, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-88-3 [contents] - [i13]Zhengzhong Liang, Zeyu Zhang, Steven Bethard, Mihai Surdeanu:
Explainable Verbal Reasoner Plus (EVR+): A Natural Language Reasoning Framework that Supports Diverse Compositional Reasoning. CoRR abs/2305.00061 (2023) - [i12]Zeyu Zhang, Steven Bethard:
Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage Resolution. CoRR abs/2305.11315 (2023) - [i11]Xin Su, Phillip Howard, Nagib Hakim, Steven Bethard:
Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering. CoRR abs/2310.19292 (2023) - [i10]Xin Su, Tiep Le, Steven Bethard, Phillip Howard:
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning. CoRR abs/2311.08505 (2023) - 2022
- [c105]Xin Su, Yiyun Zhao, Steven Bethard:
A Comparison of Strategies for Source-Free Domain Adaptation. ACL (1) 2022: 8352-8367 - [c104]Nazia Tasnim, Md. Istiak Hossain Shihab, Asif Shahriyar Sushmit, Steven Bethard, Farig Sadeque:
TEAM-Atreides at SemEval-2022 Task 11: On leveraging data augmentation and ensemble to recognize complex Named Entities in Bangla. SemEval@NAACL 2022: 1524-1530 - [c103]Hyunju Song, Steven Bethard:
UA-KO at SemEval-2022 Task 11: Data Augmentation and Ensembles for Korean Named Entity Recognition. SemEval@NAACL 2022: 1608-1612 - [i9]Nazia Tasnim, Md. Istiak Hossain Shihab, Asif Shahriyar Sushmit, Steven Bethard, Farig Sadeque:
TEAM-Atreides at SemEval-2022 Task 11: On leveraging data augmentation and ensemble to recognize complex Named Entities in Bangla. CoRR abs/2204.09964 (2022) - [i8]Zhengzhong Liang, Tushar Khot, Steven Bethard, Mihai Surdeanu, Ashish Sabharwal:
Better Retrieval May Not Lead to Better Question Answering. CoRR abs/2205.03685 (2022) - [i7]Steven Bethard:
We need to talk about random seeds. CoRR abs/2210.13393 (2022) - 2021
- [j20]Samuel González López, Steven Bethard, Francisca Cecilia Encinas Orozco, Adrián Pastor López-Monroy:
Consumer Cynicism Identification for Spanish Reviews using a Spanish Transformer Model. Proces. del Leng. Natural 66: 111-120 (2021) - [c102]Amanda Bertsch, Steven Bethard:
Detection of Puffery on the English Wikipedia. W-NUT 2021: 329-333 - [c101]Dongfang Xu, Steven Bethard:
Triplet-Trained Vector Space and Sieve-Based Search Improve Biomedical Concept Normalization. BioNLP@NAACL-HLT 2021: 11-22 - [c100]Chen Lin, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova:
EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain. BioNLP@NAACL-HLT 2021: 191-201 - [c99]Yiyun Zhao, Jian Gang Ngui, Lucy Hall Hartley, Steven Bethard:
Do pretrained transformers infer telicity like humans? CoNLL 2021: 72-81 - [c98]Zhengzhong Liang, Steven Bethard, Mihai Surdeanu:
Explainable Multi-hop Verbal Reasoning Through Internal Monologue. NAACL-HLT 2021: 1225-1250 - [c97]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering. NAACL-HLT 2021: 4571-4581 - [c96]Egoitz Laparra, Xin Su, Yiyun Zhao, Özlem Uzuner, Timothy A. Miller, Steven Bethard:
SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing. SemEval@ACL/IJCNLP 2021: 348-356 - [c95]Xin Su, Yiyun Zhao, Steven Bethard:
The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation. SemEval@ACL/IJCNLP 2021: 458-466 - [e7]Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tür, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty, Yichao Zhou:
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-46-6 [contents] - 2020
- [j19]Chen Lin, Steven Bethard, Dmitriy Dligach, Farig Sadeque, Guergana Savova, Timothy A. Miller:
Does BERT need domain adaptation for clinical negation detection? J. Am. Medical Informatics Assoc. 27(4): 584-591 (2020) - [j18]Dongfang Xu, Manoj Gopale, Jiacheng Zhang, Kris Brown, Edmon Begoli, Steven Bethard:
Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)-based ranking for concept normalization. J. Am. Medical Informatics Assoc. 27(10): 1510-1519 (2020) - [c94]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering. ACL 2020: 4514-4525 - [c93]Yiyun Zhao, Steven Bethard:
How does BERT's attention change when you fine-tune? An analysis methodology and a case study in negation scope. ACL 2020: 4729-4747 - [c92]Dongfang Xu, Zeyu Zhang, Steven Bethard:
A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization. ACL 2020: 8452-8464 - [c91]Kadir Bulut Özler, Kate Kenski, Stephen A. Rains, Yotam Shmargad, Kevin Coe, Steven Bethard:
Fine-tuning for multi-domain and multi-label uncivil language detection. WOAH 2020: 28-33 - [c90]Kristin Wright-Bettner, Chen Lin, Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Martha Palmer, James H. Martin, Guergana Savova:
Defining and Learning Refined Temporal Relations in the Clinical Narrative. LOUHI@EMNLP 2020: 104-114 - [c89]Samuel González López, Steven Bethard, Aurelio López-López:
Assisting Undergraduate Students in Writing Spanish Methodology Sections. BEA@ACL 2020: 115-123 - [c88]Chen Lin, Timothy A. Miller, Dmitriy Dligach, Farig Sadeque, Steven Bethard, Guergana Savova:
A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction. BioNLP 2020: 70-75 - [c87]Egoitz Laparra, Steven Bethard:
A Dataset and Evaluation Framework for Complex Geographical Description Parsing. COLING 2020: 936-948 - [c86]Moonsung Kim, Steven Bethard:
TTUI at SemEval-2020 Task 11: Propaganda Detection with Transfer Learning and Ensembles. SemEval@COLING 2020: 1829-1834 - [c85]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical Match. SIGIR 2020: 1625-1628 - [e6]Anna Rumshisky, Kirk Roberts, Steven Bethard, Tristan Naumann:
Proceedings of the 3rd Clinical Natural Language Processing Workshop, ClinicalNLP@EMNLP 2020, Online, November 19, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-74-3 [contents] - [i6]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering. CoRR abs/2005.01218 (2020)
2010 – 2019
- 2019
- [j17]Samuel González López, Aurelio López-López, Steven Bethard, Jesús Miguel García Gorrostieta:
A Model for Identifying Steps in Undergraduate Thesis Methodology. Res. Comput. Sci. 148(5): 17-24 (2019) - [c84]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering. EMNLP/IJCNLP (1) 2019: 2578-2589 - [c83]Steven Bethard, Egoitz Laparra, Sophia Wang, Yiyun Zhao, Ragheb Al-Ghezi, Aaron Lien, Laura López-Hoffman:
Inferring missing metadata from environmental policy texts. LaTeCH@NAACL-HLT 2019: 46-51 - [c82]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, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton T. Morrison, Mihai Surdeanu:
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. NAACL-HLT (Demonstrations) 2019: 42-47 - [c81]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Alignment over Heterogeneous Embeddings for Question Answering. NAACL-HLT (1) 2019: 2681-2691 - [c80]Vikas Yadav, Egoitz Laparra, Ti-Tai Wang, Mihai Surdeanu, Steven Bethard:
University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities. SemEval@NAACL-HLT 2019: 1319-1323 - [c79]Dongfang Xu, Egoitz Laparra, Steven Bethard:
Pre-trained Contextualized Character Embeddings Lead to Major Improvements in Time Normalization: a Detailed Analysis. *SEM@NAACL-HLT 2019: 68-74 - [c78]Farig Sadeque, Stephen A. Rains, Yotam Shmargad, Kate Kenski, Kevin Coe, Steven Bethard:
Incivility Detection in Online Comments. *SEM@NAACL-HLT 2019: 283-291 - [i5]Farig Sadeque, Steven Bethard:
Predicting engagement in online social networks: Challenges and opportunities. CoRR abs/1907.05442 (2019) - [i4]Vikas Yadav, Steven Bethard:
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models. CoRR abs/1910.11470 (2019) - [i3]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering. CoRR abs/1911.07176 (2019) - 2018
- [j16]John David Osborne, Matthew B. Neu, Maria I. Danila, Thamar Solorio, Steven J. Bethard:
CUILESS2016: a clinical corpus applying compositional normalization of text mentions. J. Biomed. Semant. 9(1): 2:1-2:9 (2018) - [j15]Egoitz Laparra, Dongfang Xu, Steven Bethard:
From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time Normalizations. Trans. Assoc. Comput. Linguistics 6: 343-356 (2018) - [c77]Chen Lin, Timothy A. Miller, Dmitriy Dligach, Hadi Amiri, Steven Bethard, Guergana Savova:
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction. Louhi@EMNLP 2018: 165-176 - [c76]Vikas Yadav, Steven Bethard:
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models. COLING 2018: 2145-2158 - [c75]Dongfang Xu, Vikas Yadav, Steven Bethard:
UArizona at the MADE1.0 NLP Challenge. Medication and Adverse Drug Event Detection 2018: 57-65 - [c74]Ligaj Pradhan, Chengcui Zhang, Steven Bethard, Xin Chen:
Embedding User Behavioral Aspect in TF-IDF Like Representation. MIPR 2018: 262-267 - [c73]Egoitz Laparra, Dongfang Xu, Ahmed Elsayed, Steven Bethard, Martha Palmer:
SemEval 2018 Task 6: Parsing Time Normalizations. SemEval@NAACL-HLT 2018: 88-96 - [c72]Vikas Yadav, Rebecca Sharp, Steven Bethard:
Deep Affix Features Improve Neural Named Entity Recognizers. *SEM@NAACL-HLT 2018: 167-172 - [c71]Farig Sadeque, Dongfang Xu, Steven Bethard:
Measuring the Latency of Depression Detection in Social Media. WSDM 2018: 495-503 - [e5]Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat:
Proceedings of The 12th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2018, New Orleans, Louisiana, USA, June 5-6, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-20-9 [contents] - 2017
- [j14]Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Chen Lin, Guergana Savova:
Towards generalizable entity-centric clinical coreference resolution. J. Biomed. Informatics 69: 251-258 (2017) - [c70]Natalia Viani, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi, Lucia Sacchi, Guergana K. Savova:
Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports. AIME 2017: 198-202 - [c69]Timothy A. Miller, Steven Bethard, Hadi Amiri, Guergana Savova:
Unsupervised Domain Adaptation for Clinical Negation Detection. BioNLP 2017: 165-170 - [c68]Chen Lin, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova:
Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks. BioNLP 2017: 322-327 - [c67]Farig Sadeque, Dongfang Xu, Steven Bethard:
UArizona at the CLEF eRisk 2017 Pilot Task: Linear and Recurrent Models for Early Depression Detection. CLEF (Working Notes) 2017 - [c66]Dmitriy Dligach, Timothy A. Miller, Chen Lin, Steven Bethard, Guergana Savova:
Neural Temporal Relation Extraction. EACL (2) 2017: 746-751 - [c65]Quynh Ngoc Thi Do, Steven Bethard, Marie-Francine Moens:
Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments. IJCNLP(1) 2017: 90-99 - [c64]Ligaj Pradhan, Chengcui Zhang, Steven Bethard:
Infusing Latent User-Concerns from User Reviews into Collaborative Filtering. IRI 2017: 471-477 - [c63]Steven Bethard, Guergana Savova, Martha Palmer, James Pustejovsky:
SemEval-2017 Task 12: Clinical TempEval. SemEval@ACL 2017: 565-572 - [e4]Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel M. Cer, David Jurgens:
Proceedings of the 11th International Workshop on Semantic Evaluation, SemEval@ACL 2017, Vancouver, Canada, August 3-4, 2017. Association for Computational Linguistics 2017 [contents] - [i2]Quynh Ngoc Thi Do, Steven Bethard, Marie-Francine Moens:
Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments. CoRR abs/1704.02709 (2017) - 2016
- [j13]Ligaj Pradhan, Chengcui Zhang, Steven Bethard:
Extracting Hierarchy of Coherent User-Concerns to Discover Intricate User Behavior from User Reviews. Int. J. Multim. Data Eng. Manag. 7(4): 63-80 (2016) - [j12]Chen Lin, Dmitriy Dligach, Timothy A. Miller, Steven Bethard, Guergana K. Savova:
Multilayered temporal modeling for the clinical domain. J. Am. Medical Informatics Assoc. 23(2): 387-395 (2016) - [j11]John David Osborne, Matthew C. Wyatt, Andrew O. Westfall, James H. Willig, Steven Bethard, Geoffrey D. Gordon:
Efficient identification of nationally mandated reportable cancer cases using natural language processing and machine learning. J. Am. Medical Informatics Assoc. 23(6): 1077-1084 (2016) - [c62]Upendra Sapkota, Thamar Solorio, Manuel Montes-y-Gómez, Steven Bethard:
Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning. ACL (1) 2016 - [c61]Nicolas Rey-Villamizar, Prasha Shrestha, Farig Sadeque, Steven Bethard, Ted Pedersen, Arjun Mukherjee, Thamar Solorio:
Analysis of Anxious Word Usage on Online Health Forums. Louhi@EMNLP 2016: 37-42 - [c60]Farig Sadeque, Ted Pedersen, Thamar Solorio, Prasha Shrestha, Nicolas Rey-Villamizar, Steven Bethard:
Why Do They Leave: Modeling Participation in Online Depression Forums. SocialNLP@EMNLP 2016: 14-19 - [c59]Timothy A. Miller, Dmitriy Dligach, Chen Lin, Steven Bethard, Guergana Savova:
Feature Portability in Cross-domain Clinical Coreference. AMIA 2016 - [c58]Chen Lin, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova:
Improving Temporal Relation Extraction with Training Instance Augmentation. BioNLP@ACL 2016: 108-113 - [c57]Quynh Ngoc Thi Do, Steven Bethard, Marie-Francine Moens:
Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training. COLING 2016: 1275-1284 - [c56]Ligaj Pradhan, Chengcui Zhang, Steven Bethard:
Towards Extracting Coherent User Concerns and Their Hierarchical Organization from User Reviews. IRI 2016: 582-590 - [c55]Steven Bethard, Jonathan Parker:
A Semantically Compositional Annotation Scheme for Time Normalization. LREC 2016 - [c54]Prasha Shrestha, Nicolas Rey-Villamizar, Farig Sadeque, Ted Pedersen, Steven Bethard, Thamar Solorio:
Age and Gender Prediction on Health Forum Data. LREC 2016 - [c53]Nicolas Rey-Villamizar, Prasha Shrestha, Thamar Solorio, Farig Sadeque, Steven Bethard, Ted Pedersen:
Semi-supervised CLPsych 2016 Shared Task System Submission. CLPsych@HLT-NAACL 2016: 171-175 - [c52]Steven Bethard, Guergana Savova, Wei-Te Chen, Leon Derczynski, James Pustejovsky, Marc Verhagen:
SemEval-2016 Task 12: Clinical TempEval. SemEval@NAACL-HLT 2016 - [c51]Md. Arafat Sultan, Steven Bethard, Tamara Sumner:
DLS$@$CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity. SemEval@NAACL-HLT 2016: 650-655 - [e3]Anna Rumshisky, Kirk Roberts, Steven Bethard, Tristan Naumann:
Proceedings of the Clinical Natural Language Processing Workshop, ClinicalNLP@COLING 2016, Osaka, Japan, December 11, 2016. The COLING 2016 Organizing Committee 2016, ISBN 978-4-87974-710-5 [contents] - [e2]Steven Bethard, Daniel M. Cer, Marine Carpuat, David Jurgens, Preslav Nakov, Torsten Zesch:
Proceedings of the 10th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2016, San Diego, CA, USA, June 16-17, 2016. The Association for Computer Linguistics 2016, ISBN 978-1-941643-95-2 [contents] - 2015
- [j10]Wim De Mulder, Steven Bethard, Marie-Francine Moens:
A survey on the application of recurrent neural networks to statistical language modeling. Comput. Speech Lang. 30(1): 61-98 (2015) - [j9]Quynh Ngoc Thi Do, Steven Bethard, Marie-Francine Moens:
Domain Adaptation in Semantic Role Labeling Using a Neural Language Model and Linguistic Resources. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1812-1823 (2015) - [c50]Farig Sadeque, Thamar Solorio, Ted Pedersen, Prasha Shrestha, Steven Bethard:
Predicting Continued Participation in Online Health Forums. Louhi@EMNLP 2015: 12-20 - [c49]Suraj Maharjan, Elizabeth Blair, Steven Bethard, Thamar Solorio:
Developing Language-tagged Corpora for Code-switching Tweets. LAW@NAACL-HLT 2015: 72-84 - [c48]Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Chen Lin, Guergana Savova:
Extracting Time Expressions from Clinical Text. BioNLP@IJCNLP 2015: 81-91 - [c47]Md. Arafat Sultan, Steven Bethard, Tamara Sumner:
Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment. EMNLP 2015: 949-959 - [c46]Quynh Ngoc Thi Do, Steven Bethard, Marie-Francine Moens:
Adapting Coreference Resolution for Narrative Processing. EMNLP 2015: 2262-2267 - [c45]Upendra Sapkota, Steven Bethard, Manuel Montes-y-Gómez, Thamar Solorio:
Not All Character N-grams Are Created Equal: A Study in Authorship Attribution. HLT-NAACL 2015: 93-102 - [c44]Md. Arafat Sultan, Steven Bethard, Tamara Sumner:
DLS$@$CU: Sentence Similarity from Word Alignment and Semantic Vector Composition. SemEval@NAACL-HLT 2015: 148-153 - [c43]James Gung, John David Osborne, Steven Bethard:
CUAB: Supervised Learning of Disorders and their Attributes using Relations. SemEval@NAACL-HLT 2015: 417-421 - [c42]Steven Bethard, Leon Derczynski, Guergana Savova, James Pustejovsky, Marc Verhagen:
SemEval-2015 Task 6: Clinical TempEval. SemEval@NAACL-HLT 2015: 806-814 - 2014
- [j8]Dmitriy Dligach, Steven Bethard, Lee Becker, Timothy A. Miller, Guergana K. Savova:
Discovering body site and severity modifiers in clinical texts. J. Am. Medical Informatics Assoc. 21(3): 448-454 (2014) - [j7]William F. Styler IV, Steven Bethard, Sean Finan, Martha Palmer, Sameer Pradhan, Piet C. de Groen, Bradley James Erickson, Timothy A. Miller, Chen Lin, Guergana K. Savova, James Pustejovsky:
Temporal Annotation in the Clinical Domain. Trans. Assoc. Comput. Linguistics 2: 143-154 (2014) - [j6]Md. Arafat Sultan, Steven Bethard, Tamara Sumner:
Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence. Trans. Assoc. Comput. Linguistics 2: 219-230 (2014) - [j5]Nathanael Chambers, Taylor Cassidy, Bill McDowell, Steven Bethard:
Dense Event Ordering with a Multi-Pass Architecture. Trans. Assoc. Comput. Linguistics 2: 273-284 (2014) - [c41]Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Rose Finkel, Steven Bethard, David McClosky:
The Stanford CoreNLP Natural Language Processing Toolkit. ACL (System Demonstrations) 2014: 55-60 - [c40]Chen Lin, Timothy A. Miller, Alvin Kho, Steven Bethard, Dmitriy Dligach, Sameer Pradhan, Guergana Savova:
Descending-Path Convolution Kernel for Syntactic Structures. ACL (2) 2014: 81-86 - [c39]Taylor Cassidy, Bill McDowell, Nathanael Chambers, Steven Bethard:
An Annotation Framework for Dense Event Ordering. ACL (2) 2014: 501-506 - [c38]Thamar Solorio, Elizabeth Blair, Suraj Maharjan, Steven Bethard, Mona T. Diab, Mahmoud Ghoneim, Abdelati Hawwari, Fahad AlGhamdi, Julia Hirschberg, Alison Chang, Pascale Fung:
Overview for the First Shared Task on Language Identification in Code-Switched Data. CodeSwitch@EMNLP 2014: 62-72 - [c37]Elie Bursztein, Angelique Moscicki, Celine Fabry, Steven Bethard, John C. Mitchell, Dan Jurafsky:
Easy does it: more usable CAPTCHAs. CHI 2014: 2637-2646 - [c36]Upendra Sapkota, Thamar Solorio, Manuel Montes-y-Gómez, Steven Bethard, Paolo Rosso:
Cross-Topic Authorship Attribution: Will Out-Of-Topic Data Help? COLING 2014: 1228-1237 - [c35]Md. Arafat Sultan, Steven Bethard, Tamara Sumner:
Towards automatic identification of core concepts in educational resources. JCDL 2014: 379-388 - [c34]Steven Bethard, Philip V. Ogren, Lee Becker:
ClearTK 2.0: Design Patterns for Machine Learning in UIMA. LREC 2014: 3289-3293 - [c33]Samuel González López, Steven Bethard, Aurelio López-López:
Identifying Weak Sentences in Student Drafts: A Tutoring System. MIS4TEL 2014: 77-85 - [c32]Quynh Ngoc Thi Do, Steven Bethard, Marie-Francine Moens:
Text Mining for Open Domain Semi-Supervised Semantic Role Labeling. DMNLP@PKDD/ECML 2014: 33-48 - [c31]Md. Arafat Sultan, Steven Bethard, Tamara Sumner:
DLS$@$CU: Sentence Similarity from Word Alignment. SemEval@COLING 2014: 241-246 - [e1]Kevin Duh, Helena Gómez-Adorno, Steven Bethard:
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL 2024, Mexico City, Mexico, June 16-21, 2024. Association for Computational Linguistics 2014, ISBN 979-8-89176-114-8 [contents] - [i1]Steven Bethard, Leon Derczynski, James Pustejovsky, Marc Verhagen:
Clinical TempEval. CoRR abs/1403.4928 (2014) - 2013
- [j4]Philipp G. Wetzler, Steven Bethard, Heather Leary, Kirsten R. Butcher, Soheil Danesh Bahreini, Jin Zhao, James H. Martin, Tamara Sumner:
Characterizing and Predicting the Multifaceted Nature of Quality in Educational Web Resources. ACM Trans. Interact. Intell. Syst. 3(3): 15:1-15:25 (2013) - [c30]Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Sameer Pradhan, Chen Lin, Guergana K. Savova:
Discovering Time Expressions in Clinical Text. AMIA 2013 - [c29]Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Sameer Pradhan, Chen Lin, Guergana Savova:
Discovering Temporal Narrative Containers in Clinical Text. BioNLP@ACL 2013: 18-26 - [c28]Steven Bethard:
A Synchronous Context Free Grammar for Time Normalization. EMNLP 2013: 821-826 - [c27]Ifeyinwa Okoye, Tamara Sumner, Steven Bethard:
Automatic extraction of core learning goals and generation of pedagogical sequences through a collection of digital library resources. JCDL 2013: 67-76 - [c26]Steven Bethard:
ClearTK-TimeML: A minimalist approach to TempEval 2013. SemEval@NAACL-HLT 2013: 10-14 - [c25]Oleksandr Kolomiyets, Parisa Kordjamshidi, Marie-Francine Moens, Steven Bethard:
SemEval-2013 Task 3: Spatial Role Labeling. SemEval@NAACL-HLT 2013: 255-262 - [c24]Ifeyinwa Okoye, Steven Bethard, Tamara Sumner:
CU : Computational Assessment of Short Free Text Answers - A Tool for Evaluating Students' Understanding. SemEval@NAACL-HLT 2013: 603-607 - [c23]Md. Arafat Sultan, Steven Bethard, Tamara Sumner:
DLS$@$CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity. *SEM@NAACL-HLT 2013: 176-180 - 2012
- [j3]Michael Levin, Stefan Krawczyk, Steven Bethard, Dan Jurafsky:
Citation-based bootstrapping for large-scale author disambiguation. J. Assoc. Inf. Sci. Technol. 63(5): 1030-1047 (2012) - [c22]Oleksandr Kolomiyets, Steven Bethard, Marie-Francine Moens:
Extracting Narrative Timelines as Temporal Dependency Structures. ACL (1) 2012: 88-97 - [c21]Steven Bethard, Ifeyinwa Okoye, Md. Arafat Sultan, Haojie Hang, James H. Martin, Tamara Sumner:
Identifying science concepts and student misconceptions in an interactive essay writing tutor. BEA@NAACL-HLT 2012: 12-21 - [c20]Bram Jans, Steven Bethard, Ivan Vulic, Marie-Francine Moens:
Skip N-grams and Ranking Functions for Predicting Script Events. EACL 2012: 336-344 - [c19]Steven Bethard, Oleksandr Kolomiyets, Marie-Francine Moens:
Annotating Story Timelines as Temporal Dependency Structures. LREC 2012: 2721-2726 - [c18]Parisa Kordjamshidi, Steven Bethard, Marie-Francine Moens:
SemEval-2012 Task 3: Spatial Role Labeling. SemEval@NAACL-HLT 2012: 365-373 - 2011
- [c17]Oleksandr Kolomiyets, Steven Bethard, Marie-Francine Moens:
Model-Portability Experiments for Textual Temporal Analysis. ACL (2) 2011: 271-276 - [c16]Andrey Gusev, Nathanael Chambers, Divye Raj Khilnani, Pranav Khaitan, Steven Bethard, Dan Jurafsky:
Using Query Patterns to Learn the Duration of Events. IWCS 2011 - 2010
- [c15]Steven Bethard, Dan Jurafsky:
Who should I cite: learning literature search models from citation behavior. CIKM 2010: 609-618 - [c14]Robert Munro, Steven Bethard, Victor Kuperman, Vicky Tzuyin Lai, Robin Melnick, Christopher Potts, Tyler Schnoebelen, Harry J. Tily:
Crowdsourcing and language studies: the new generation of linguistic data. Mturk@HLT-NAACL 2010: 122-130 - [c13]Elie Bursztein, Steven Bethard, Celine Fabry, John C. Mitchell, Daniel Jurafsky:
How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation. IEEE Symposium on Security and Privacy 2010: 399-413
2000 – 2009
- 2009
- [c12]Guergana Savova, Steven Bethard, William F. Styler IV, James H. Martin, Martha Palmer, James J. Masanz, Wayne H. Ward:
Towards Temporal Relation Discovery from the Clinical Narrative. AMIA 2009 - [c11]Steven Bethard, Soumya Ghosh, James H. Martin, Tamara Sumner:
Topic model methods for automatically identifying out-of-scope resources. JCDL 2009: 19-28 - [c10]Steven Bethard, Philipp G. Wetzler, Kirsten R. Butcher, James H. Martin, Tamara Sumner:
Automatically characterizing resource quality for educational digital libraries. JCDL 2009: 221-230 - [c9]Elie Bursztein, Steven Bethard:
Decaptcha: Breaking 75% of eBay Audio CAPTCHAs. WOOT 2009: 1-7 - [c8]Philipp G. Wetzler, Steven Bethard, Kirsten R. Butcher, James H. Martin, Tamara Sumner:
Automatically assessing resource quality for educational digital libraries. WICOW 2009: 3-10 - 2008
- [j2]Steven Bethard, Zhiyong Lu, James H. Martin, Lawrence Hunter:
Semantic role labeling for protein transport predicates. BMC Bioinform. 9 (2008) - [c7]Steven Bethard, James H. Martin:
Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations. ACL (2) 2008: 177-180 - [c6]Steven Bethard, William J. Corvey, Sara Klingenstein, James H. Martin:
Building a Corpus of Temporal-Causal Structure. LREC 2008 - 2007
- [j1]Steven Bethard, James H. Martin, Sara Klingenstein:
Finding Temporal Structure in Text: Machine Learning of Syntactic Temporal Relations. Int. J. Semantic Comput. 1(4): 441-457 (2007) - [c5]Steven Bethard, Rodney D. Nielsen, James H. Martin, Wayne H. Ward, Martha Palmer:
Semantic Integration in Learning from Text. AAAI Spring Symposium: Machine Reading 2007: 17-22 - [c4]Steven Bethard, James H. Martin, Sara Klingenstein:
Timelines from Text: Identification of Syntactic Temporal Relations. ICSC 2007: 11-18 - [c3]Steven Bethard, James H. Martin:
CU-TMP: Temporal Relation Classification Using Syntactic and Semantic Features. SemEval@ACL 2007: 129-132 - 2006
- [c2]Steven Bethard, James H. Martin:
Identification of Event Mentions and their Semantic Class. EMNLP 2006: 146-154 - [p1]Steven Bethard, Hong Yu, Ashley Thornton, Vasileios Hatzivassiloglou, Dan Jurafsky:
Extracting Opinion Propositions and Opinion Holders using Syntactic and Lexical Cues. Computing Attitude and Affect in Text 2006: 125-141 - 2002
- [c1]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, Rebecca J. Passonneau, Vasileios Hatzivassiloglou, Kathleen R. McKeown, Gabriel Illouz:
Building a Foundation System for Producing Short Answers to Factual Questions. TREC 2002
Coauthor Index
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