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Rebecca Hwa
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2020 – today
- 2024
- [i12]Dae-young Kim, Rebecca Hwa, Muhammad Mahbubur Rahman:
mhGPT: A Lightweight Generative Pre-Trained Transformer for Mental Health Text Analysis. CoRR abs/2408.08261 (2024) - 2023
- [c55]Meiqi Guo, Rebecca Hwa, Adriana Kovashka:
Decoding Symbolism in Language Models. ACL (1) 2023: 3311-3324 - [c54]Mingda Zhang, Rebecca Hwa
, Adriana Kovashka:
How to Practice VQA on a Resource-limited Target Domain. WACV 2023: 4440-4449 - [i11]Yongsu Ahn, Muheng Yan, Yu-Ru Lin, Wen-Ting Chung, Rebecca Hwa
Tribe or Not? Critical Inspection of Group Differences Using TribalGram. CoRR abs/2303.09664 (2023) - [i10]Hong Qin, Jude Kong, Wandi Ding, Ramneek Ahluwalia, Christo El-Morr, Zeynep Engin, Jake Okechukwu Effoduh, Rebecca Hwa
Towards Trustworthy Artificial Intelligence for Equitable Global Health. CoRR abs/2309.05088 (2023) - 2022
- [j10]Omid Kashefi
ArgRewrite V.2: an annotated argumentative revisions corpus. Lang. Resour. Evaluation 56(3): 881-915 (2022) - [j9]Yongsu Ahn, Muheng Yan, Yu-Ru Lin, Wen-Ting Chung, Rebecca Hwa
Tribe or Not? Critical Inspection of Group Differences Using TribalGram. ACM Trans. Interact. Intell. Syst. 12(1): 5:1-5:34 (2022) - [c53]Diane J. Litman, Tazin Afrin, Omid Kashefi, Christopher Olshefski, Amanda Godley, Rebecca Hwa
An Automated Writing Evaluation System for Supporting Self-monitored Revising. AIED (1) 2022: 581-587 - [i9]Omid Kashefi, Tazin Afrin, Meghan Dale, Christopher Olshefski, Amanda Godley, Diane J. Litman, Rebecca Hwa:
ArgRewrite V.2: an Annotated Argumentative Revisions Corpus. CoRR abs/2206.01677 (2022) - 2021
- [c52]Omid Kashefi, Rebecca Hwa:
Contrapositive Local Class Inference. W-NUT 2021: 371-380 - [c51]Tazin Afrin, Omid Kashefi, Christopher Olshefski
Effective Interfaces for Student-Driven Revision Sessions for Argumentative Writing. CHI 2021: 58:1-58:13 - [c50]Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa
BasisNet: Two-Stage Model Synthesis for Efficient Inference. CVPR Workshops 2021: 3081-3090 - [c49]Mingda Zhang, Tristan Maidment, Ahmad Diab, Adriana Kovashka, Rebecca Hwa
Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels. CVPR 2021: 7046-7056 - [c48]Carter B. Burn, Frederick L. Crabbe, Rebecca Hwa:
Let's Do the Time Warp Again: Human Action Assistance for Reinforcement Learning Agents. ICAART (1) 2021: 92-100 - [c47]Meiqi Guo, Rebecca Hwa
Detecting Persuasive Atypicality by Modeling Contextual Compatibility. ICCV 2021: 952-962 - [i8]Mingda Zhang, Tristan Maidment, Ahmad Diab, Adriana Kovashka, Rebecca Hwa:
Domain-robust VQA with diverse datasets and methods but no target labels. CoRR abs/2103.15974 (2021) - [i7]Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew G. Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka:
BasisNet: Two-stage Model Synthesis for Efficient Inference. CoRR abs/2105.03014 (2021) - [i6]Tazin Afrin, Omid Kashefi, Christopher Olshefski, Diane J. Litman, Rebecca Hwa, Amanda Godley:
Effective Interfaces for Student-Driven Revision Sessions for Argumentative Writing. CoRR abs/2107.07018 (2021) - 2020
- [c46]Omid Kashefi, Rebecca Hwa:
Quantifying the Evaluation of Heuristic Methods for Textual Data Augmentation. W-NUT@EMNLP 2020: 200-208 - [c45]Meiqi Guo, Rebecca Hwa, Yu-Ru Lin, Wen-Ting Chung:
Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models. COLING 2020: 4873-4885 - [c44]Mingda Zhang, Keren Ye, Rebecca Hwa
Story Completion with Explicit Modeling of Commonsense Knowledge. CVPR Workshops 2020: 1543-1546 - [c43]Muheng Yan, Yu-Ru Lin, Rebecca Hwa, Ali Mert Ertugrul, Meiqi Guo, Wen-Ting Chung:
MimicProp: Learning to Incorporate Lexicon Knowledge into Distributed Word Representation for Social Media Analysis. ICWSM 2020: 738-749 - [i5]Meiqi Guo, Rebecca Hwa, Yu-Ru Lin, Wen-Ting Chung:
Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models. CoRR abs/2011.14293 (2020)
2010 – 2019
- 2019
- [c42]Changsheng Liu, Rebecca Hwa:
A Generalized Idiom Usage Recognition Model Based on Semantic Compatibility. AAAI 2019: 6738-6745 - 2018
- [j8]Gaurav Trivedi, Phuong Pham, Wendy W. Chapman, Rebecca Hwa
NLPReViz: an interactive tool for natural language processing on clinical text. J. Am. Medical Informatics Assoc. 25(1): 81-87 (2018) - [c41]Homa B. Hashemi, Rebecca Hwa:
Jointly Parse and Fragment Ungrammatical Sentences. AAAI 2018: 5165-5172 - [c40]Mingda Zhang, Rebecca Hwa, Adriana Kovashka:
Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text. BMVC 2018: 8 - [c39]Changsheng Liu, Rebecca Hwa:
Heuristically Informed Unsupervised Idiom Usage Recognition. EMNLP 2018: 1723-1731 - [c38]Omid Kashefi
Semantic Pleonasm Detection. NAACL-HLT (2) 2018: 225-230 - [i4]Mingda Zhang, Rebecca Hwa, Adriana Kovashka:
Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text. CoRR abs/1807.08205 (2018) - 2017
- [c37]Changsheng Liu, Rebecca Hwa:
Representations of Context in Recognizing the Figurative and Literal Usages of Idioms. AAAI 2017: 3230-3236 - [c36]Fan Zhang, Homa B. Hashemi, Rebecca Hwa
A Corpus of Annotated Revisions for Studying Argumentative Writing. ACL (1) 2017: 1568-1578 - [e1]Martha Palmer, Rebecca Hwa, Sebastian Riedel:
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-83-8 [contents] - [i3]Gaurav Trivedi, Phuong Pham, Wendy W. Chapman, Rebecca Hwa, Janyce Wiebe, Harry Hochheiser:
An Interactive Tool for Natural Language Processing on Clinical Text. CoRR abs/1707.01890 (2017) - 2016
- [c35]Homa B. Hashemi, Rebecca Hwa:
An Evaluation of Parser Robustness for Ungrammatical Sentences. EMNLP 2016: 1765-1774 - [c34]Homa B. Hashemi, Rebecca Hwa:
Parse Tree Fragmentation of Ungrammatical Sentences. IJCAI 2016: 2796-2802 - [c33]Fan Zhang, Rebecca Hwa, Diane J. Litman, Homa B. Hashemi:
ArgRewrite: A Web-based Revision Assistant for Argumentative Writings. HLT-NAACL Demos 2016: 37-41 - [c32]Changsheng Liu, Rebecca Hwa
Phrasal Substitution of Idiomatic Expressions. HLT-NAACL 2016: 363-373 - 2014
- [c31]Huichao Xue, Rebecca Hwa
Improved Correction Detection in Revised ESL Sentences. ACL (2) 2014: 599-604 - [c30]Huichao Xue, Rebecca Hwa
Redundancy Detection in ESL Writings. EACL 2014: 683-691 - [c29]Homa B. Hashemi, Rebecca Hwa:
A Comparison of MT Errors and ESL Errors. LREC 2014: 2696-2700 - 2013
- [c28]Sisi Lu, Ye Ye, Rich Tsui, Howard Su, Ruhsary Rexit, Sahawut Wesaratchakit, Xiaochu Liu, Rebecca Hwa
Domain ontology-based feature reduction for high dimensional drug data and its application to 30-day heart failure readmission prediction. CollaborateCom 2013: 478-484 - 2012
- [c27]Alexander Conrad, Janyce Wiebe, Rebecca Hwa:
Recognizing Arguing Subjectivity and Argument Tags. ExProM@ACL 2012: 80-88 - [c26]Huichao Xue, Rebecca Hwa:
Modeling ESL Word Choice Similarities By Representing Word Intensions and Extensions. COLING 2012: 2915-2930 - 2011
- [c25]Matthias Grabmair, Kevin D. Ashley, Rebecca Hwa
Toward Extracting Information from Public Health Statutes using Text Classification Machine Learning. JURIX 2011: 73-82 - 2010
- [c24]Behrang Mohit, Rebecca Hwa, Alon Lavie:
Using Variable Decoding Weight for Language Model in Statistical Machine Translation. AMTA 2010 - [c23]Huichao Xue, Rebecca Hwa:
Syntax-Driven Machine Translation as a Model of ESL Revision. COLING (Posters) 2010: 1373-1381 - [c22]Frank Liberato, Behrang Mohit, Rebecca Hwa:
Improving Phrase-Based Translation with Prototypes of Short Phrases. HLT-NAACL 2010: 301-304
2000 – 2009
- 2009
- [j7]Joshua Albrecht, Rebecca Hwa
The Chinese Room: Visualization and Interaction to Understand and Correct Ambiguous Machine Translation. Comput. Graph. Forum 28(3): 1047-1054 (2009) - [c21]Joshua Albrecht, Rebecca Hwa, G. Elisabeta Marai:
Correcting Automatic Translations through Collaborations between MT and Monolingual Target-\-Lan\-gua\-ge Users. EACL 2009: 60-68 - [c20]Behrang Mohit, Frank Liberato, Rebecca Hwa:
Language Model Adaptation for Difficult to Translate Phrases. EAMT 2009 - 2008
- [j6]Joshua Albrecht, Rebecca Hwa
Regression for machine translation evaluation at the sentence level. Mach. Transl. 22(1-2): 1-27 (2008) - [c19]Joshua Albrecht, Rebecca Hwa:
The Role of Pseudo References in MT Evaluation. WMT@ACL 2008: 187-190 - 2007
- [j5]Kaihong Liu, Wendy Webber Chapman
Methods Paper: Heuristic Sample Selection to Minimize Reference Standard Training Set for a Part-Of-Speech Tagger. J. Am. Medical Informatics Assoc. 14(5): 641-650 (2007) - [c18]Joshua Albrecht, Rebecca Hwa:
Regression for Sentence-Level MT Evaluation with Pseudo References. ACL 2007 - [c17]Joshua Albrecht, Rebecca Hwa:
A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation. ACL 2007 - [c16]Markos Mylonakis, Khalil Sima'an, Rebecca Hwa
Unsupervised estimation for noisy-channel models. ICML 2007: 665-672 - [c15]Behrang Mohit, Rebecca Hwa:
Localization of Difficult-to-Translate Phrases. WMT@ACL 2007: 248-255 - 2006
- [j4]Theresa Wilson, Janyce Wiebe, Rebecca Hwa
Recognizing Strong and Weak Opinion Clauses. Comput. Intell. 22(2): 73-99 (2006) - [c14]Rebecca Hwa, Carol Nichols, Khalil Sima'an:
Corpus Variations for Translation Lexicon Induction. AMTA 2006: 74-81 - 2005
- [j3]Rebecca Hwa
Bootstrapping parsers via syntactic projection across parallel texts. Nat. Lang. Eng. 11(3): 311-325 (2005) - [c13]Behrang Mohit, Rebecca Hwa:
Syntax-based Semi-Supervised Named Entity Tagging. ACL 2005: 57-60 - [c12]Carol Nichols, Rebecca Hwa:
Word Alignment and Cross-Lingual Resource Acquisition. ACL 2005: 69-72 - [c11]Chenhai Xi, Rebecca Hwa:
A Backoff Model for Bootstrapping Resources for Non-English Languages. HLT/EMNLP 2005: 851-858 - 2004
- [j2]Rebecca Hwa
Sample Selection for Statistical Parsing. Comput. Linguistics 30(3): 253-276 (2004) - [c10]Theresa Wilson, Janyce Wiebe, Rebecca Hwa:
Just How Mad Are You? Finding Strong and Weak Opinion Clauses. AAAI 2004: 761-769 - [c9]Beatriz Maeireizo, Diane J. Litman, Rebecca Hwa:
Co-training for Predicting Emotions with Spoken Dialogue Data. ACL (Poster and Demonstration) 2004 - 2003
- [j1]Bonnie J. Dorr
Rapid porting of DUSTer to Hindi. ACM Trans. Asian Lang. Inf. Process. 2(2): 118-123 (2003) - [c8]Mark Steedman, Anoop Sarkar, Miles Osborne, Rebecca Hwa, Stephen Clark, Julia Hockenmaier, Paul Ruhlen, Steven Baker, Jeremiah Crim:
Bootstrapping statistical parsers from small datasets. EACL 2003: 331-338 - [c7]Mark Steedman, Rebecca Hwa, Stephen Clark, Miles Osborne, Anoop Sarkar, Julia Hockenmaier, Paul Ruhlen, Steven Baker, Jeremiah Crim:
Example Selection for Bootstrapping Statistical Parsers. HLT-NAACL 2003 - 2002
- [c6]Rebecca Hwa, Philip Resnik, Amy Weinberg, Okan Kolak:
Evaluating Translational Correspondence using Annotation Projection. ACL 2002: 392-399 - [c5]Bonnie J. Dorr, Lisa Pearl, Rebecca Hwa
DUSTer: A Method for Unraveling Cross-Language Divergences for Statistical Word-Level Alignment. AMTA 2002: 31-43 - 2001
- [c4]Rebecca Hwa:
On minimizing training corpus for parser acquisition. CoNLL 2001 - 2000
- [c3]Rebecca Hwa:
Sample Selection for Statistical Grammar Induction. EMNLP 2000: 45-52
1990 – 1999
- 1999
- [c2]Rebecca Hwa:
Supervised Grammar Induction using Training Data with Limited Constituent Information. ACL 1999: 73-79 - [i2]Rebecca Hwa:
Supervised Grammar Induction Using Training Data with Limited Constituent Information. CoRR cs.CL/9905001 (1999) - 1998
- [c1]Rebecca Hwa:
An Empirical Evaluation of Probabilistic Lexicalized Tree Insertion Grammars. COLING-ACL 1998: 557-563 - [i1]Rebecca Hwa:
An Empirical Evaluation of Probabilistic Lexicalized Tree Insertion Grammars. CoRR cmp-lg/9808001 (1998)
Coauthor Index
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last updated on 2025-01-09 12:57 CET by the dblp team
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