default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDan Goldwasser
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c82]Younghun Lee, Dan Goldwasser, Laura Schwab Reese:
Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models. EACL (Findings) 2024: 2032-2047- [c81]Rajkumar Pujari, Chengfei Wu, Dan Goldwasser:
"We Demand Justice!": Towards Social Context Grounding of Political Texts. EMNLP 2024: 362-372 - [c80]Nikhil Mehta, Dan Goldwasser:
Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media. EMNLP (Findings) 2024: 5371-5390 - [c79]Nikhil Mehta, Dan Goldwasser:
An Interactive Framework for Profiling News Media Sources. NAACL-HLT 2024: 40-58 - [c78]Maryam Davoodi, Dan Goldwasser:
Analysis of State-Level Legislative Process in Enhanced Linguistic and Nationwide Network Contexts. NAACL-HLT 2024: 7404-7422 - [i40]Younghun Lee, Dan Goldwasser, Laura Schwab Reese:
Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models. CoRR abs/2402.14200 (2024) - [i39]Tunazzina Islam, Dan Goldwasser:
Uncovering Latent Themes of Messaging on Social Media by Integrating LLMs: A Case Study on Climate Campaigns. CoRR abs/2403.10707 (2024) - [i38]Tunazzina Islam, Dan Goldwasser:
Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy. CoRR abs/2404.10259 (2024) - [i37]Nikhil Mehta, Dan Goldwasser:
Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media. CoRR abs/2406.00969 (2024) - [i36]Chengfei Wu, Dan Goldwasser:
"Hiding in Plain Sight": Designing Synthetic Dialog Generation for Uncovering Socially Situated Norms. CoRR abs/2410.00998 (2024) - [i35]Tunazzina Islam, Dan Goldwasser:
Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation. CoRR abs/2410.05401 (2024) - 2023
- [c77]Maria Leonor Pacheco
, Tunazzina Islam, Lyle H. Ungar, Ming Yin, Dan Goldwasser:
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. ACL (Findings) 2023: 5059-5080 - [c76]Tunazzina Islam, Ruqi Zhang, Dan Goldwasser:
Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging. AIES 2023: 15-25 - [c75]Nishanth Sridhar Nakshatri, Siyi Liu, Sihao Chen, Dan Roth, Dan Goldwasser, Daniel Hopkins:
Using LLM for Improving Key Event Discovery: Temporal-Guided News Stream Clustering with Event Summaries. EMNLP (Findings) 2023: 4162-4173 - [c74]Shamik Roy, Dan Goldwasser:
"A Tale of Two Movements': Identifying and Comparing Perspectives in #BlackLivesMatter and #BlueLivesMatter Movements-related Tweets using Weakly Supervised Graph-based Structured Prediction. EMNLP (Findings) 2023: 10437-10467 - [c73]Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang:
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. ICSE 2023: 1251-1263 - [c72]Tunazzina Islam, Shamik Roy, Dan Goldwasser:
Weakly Supervised Learning for Analyzing Political Campaigns on Facebook. ICWSM 2023: 411-422 - [c71]Nikhil Mehta, Dan Goldwasser:
Interactively Learning Social Media Representations Improves News Source Factuality Detection. IJCNLP (Findings) 2023: 291-311 - [i34]Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang:
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. CoRR abs/2302.01857 (2023) - [i33]Shamik Roy, Nishanth Sridhar Nakshatri, Dan Goldwasser:
Towards Few-Shot Identification of Morality Frames using In-Context Learning. CoRR abs/2302.02029 (2023) - [i32]Maria Leonor Pacheco, Tunazzina Islam, Lyle H. Ungar, Ming Yin, Dan Goldwasser:
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. CoRR abs/2305.05094 (2023) - [i31]Tunazzina Islam, Ruqi Zhang, Dan Goldwasser:
Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging. CoRR abs/2305.06174 (2023) - [i30]Nikhil Mehta, Dan Goldwasser:
An Interactive Framework for Profiling News Media Sources. CoRR abs/2309.07384 (2023) - [i29]Nikhil Mehta, Dan Goldwasser:
Interactively Learning Social Media Representations Improves News Source Factuality Detection. CoRR abs/2309.14966 (2023) - [i28]Shamik Roy, Dan Goldwasser:
"A Tale of Two Movements": Identifying and Comparing Perspectives in #BlackLivesMatter and #BlueLivesMatter Movements-related Tweets using Weakly Supervised Graph-based Structured Prediction. CoRR abs/2310.07155 (2023) - [i27]Rajkumar Pujari, Chengfei Wu, Dan Goldwasser:
"We Demand Justice!": Towards Grounding Political Text in Social Context. CoRR abs/2311.09106 (2023) - 2022
- [c70]Maryam Davoodi, Eric Waltenburg, Dan Goldwasser:
Modeling U.S. State-Level Policies by Extracting Winners and Losers from Legislative Texts. ACL (1) 2022: 270-284 - [c69]Nikhil Mehta, Maria Leonor Pacheco, Dan Goldwasser:
Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks. ACL (1) 2022: 1363-1380 - [c68]Tunazzina Islam, Dan Goldwasser:
Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision. IEEE Big Data 2022: 585-595 - [c67]Maria Leonor Pacheco, Shamik Roy, Dan Goldwasser:
Hands-On Interactive Neuro-Symbolic NLP with DRaiL. EMNLP (Demos) 2022: 371-378 - [c66]Younghun Lee, Dan Goldwasser:
Towards Explaining Subjective Ground of Individuals on Social Media. EMNLP (Findings) 2022: 1752-1766 - [c65]Tunazzina Islam, Dan Goldwasser:
Twitter User Representation Using Weakly Supervised Graph Embedding. ICWSM 2022: 358-369 - [c64]Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle H. Ungar, Dan Goldwasser:
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. NAACL-HLT 2022: 5821-5839 - [c63]Maria Leonor Pacheco, Max von Hippel, Ben Weintraub, Dan Goldwasser, Cristina Nita-Rotaru:
Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents. SP 2022: 51-68 - [i26]Maria Leonor Pacheco, Max von Hippel, Ben Weintraub, Dan Goldwasser, Cristina Nita-Rotaru:
Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents. CoRR abs/2202.09470 (2022) - [i25]Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle H. Ungar, Dan Goldwasser:
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. CoRR abs/2205.01817 (2022) - [i24]Tunazzina Islam, Dan Goldwasser:
Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision. CoRR abs/2210.10031 (2022) - [i23]Tunazzina Islam, Shamik Roy, Dan Goldwasser:
Weakly Supervised Learning for Analyzing Political Campaigns on Facebook. CoRR abs/2210.10669 (2022) - [i22]Younghun Lee, Dan Goldwasser:
Towards Explaining Subjective Ground of Individuals on Social Media. CoRR abs/2211.09953 (2022) - 2021
- [j8]Maria Leonor Pacheco, Dan Goldwasser:
Modeling Content and Context with Deep Relational Learning. Trans. Assoc. Comput. Linguistics 9: 100-119 (2021) - [j7]Gaurav Nanda, Kerrie A. Douglas, David R. Waller, Hillary E. Merzdorf, Dan Goldwasser:
Analyzing Large Collections of Open-Ended Feedback From MOOC Learners Using LDA Topic Modeling and Qualitative Analysis. IEEE Trans. Learn. Technol. 14(2): 146-160 (2021) - [c62]Chang Li, Dan Goldwasser:
Using Social and Linguistic Information to Adapt Pretrained Representations for Political Perspective Identification. ACL/IJCNLP (Findings) 2021: 4569-4579 - [c61]Shamik Roy, Dan Goldwasser:
Analysis of Nuanced Stances and Sentiment Towards Entities of US Politicians through the Lens of Moral Foundation Theory. SocialNLP@NAACL 2021: 1-13 - [c60]Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, Dan Goldwasser:
Randomized Deep Structured Prediction for Discourse-Level Processing. EACL 2021: 1174-1184 - [c59]Rajkumar Pujari, Dan Goldwasser:
Understanding Politics via Contextualized Discourse Processing. EMNLP (1) 2021: 1353-1367 - [c58]Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser:
Identifying Morality Frames in Political Tweets using Relational Learning. EMNLP (1) 2021: 9939-9958 - [c57]Tunazzina Islam, Dan Goldwasser:
Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model. ICWSM 2021: 242-253 - [c56]I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser:
Modeling Human Mental States with an Entity-based Narrative Graph. NAACL-HLT 2021: 4916-4926 - [i21]Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, Dan Goldwasser:
Randomized Deep Structured Prediction for Discourse-Level Processing. CoRR abs/2101.10435 (2021) - [i20]Tunazzina Islam, Dan Goldwasser:
Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model. CoRR abs/2104.03189 (2021) - [i19]I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser:
Modeling Human Mental States with an Entity-based Narrative Graph. CoRR abs/2104.07079 (2021) - [i18]Tunazzina Islam, Dan Goldwasser:
Twitter User Representation using Weakly Supervised Graph Embedding. CoRR abs/2108.08988 (2021) - [i17]Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser:
Identifying Morality Frames in Political Tweets using Relational Learning. CoRR abs/2109.04535 (2021) - 2020
- [j6]Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor:
Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields. IEEE Trans. Learn. Technol. 13(1): 107-122 (2020) - [j5]Luke S. Snyder, Yi-Shan Lin, Morteza Karimzadeh, Dan Goldwasser, David S. Ebert:
Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness. IEEE Trans. Vis. Comput. Graph. 26(1): 558-568 (2020) - [c55]Maryam Davoodi, Eric Waltenburg, Dan Goldwasser:
Understanding the Language of Political Agreement and Disagreement in Legislative Texts. ACL 2020: 5358-5368 - [c54]Tunazzina Islam, Dan Goldwasser:
Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information. IEEE BigData 2020: 4241-4249 - [c53]Aldo Porco, Dan Goldwasser:
Predicting Stance Change Using Modular Architectures. COLING 2020: 396-406 - [c52]Jiapeng Liu, Xiao Zhang, Dan Goldwasser, Xiao Wang:
Cross-Lingual Document Retrieval with Smooth Learning. COLING 2020: 3616-3629 - [c51]Xiao Zhang, Dan Goldwasser:
Semi-supervised Autoencoding Projective Dependency Parsing. COLING 2020: 3868-3885 - [c50]I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser:
Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations. EMNLP (Findings) 2020: 4962-4972 - [c49]Shamik Roy, Dan Goldwasser:
Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media. EMNLP (1) 2020: 7698-7716 - [c48]Xiao Zhang, Dan Goldwasser:
Semi-supervised Parsing with a Variational Autoencoding Parser. IWPT 2020 2020: 40-47 - [c47]Ayush Jain, Maria Leonor Pacheco, Steven Lancette, Mahak Goindani, Dan Goldwasser:
Identifying Collaborative Conversations using Latent Discourse Behaviors. SIGdial 2020: 74-78 - [c46]Keen You, Dan Goldwasser:
"where is this relationship going?": Understanding Relationship Trajectories in Narrative Text. *SEM@COLING 2020: 168-178 - [i16]Shamik Roy, Dan Goldwasser:
Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media. CoRR abs/2009.09609 (2020) - [i15]Maria Leonor Pacheco, Dan Goldwasser:
Modeling Content and Context with Deep Relational Learning. CoRR abs/2010.10453 (2020) - [i14]Keen You, Dan Goldwasser:
"where is this relationship going?": Understanding Relationship Trajectories in Narrative Text. CoRR abs/2010.15313 (2020) - [i13]Jiapeng Liu, Xiao Zhang, Dan Goldwasser, Xiao Wang:
Cross-Lingual Document Retrieval with Smooth Learning. CoRR abs/2011.00701 (2020) - [i12]Xiao Zhang, Dan Goldwasser:
Semi-supervised Autoencoding Projective Dependency Parsing. CoRR abs/2011.00704 (2020) - [i11]Tunazzina Islam, Dan Goldwasser:
Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information. CoRR abs/2012.02939 (2020) - [i10]Tunazzina Islam, Dan Goldwasser:
Do You Do Yoga? Understanding Twitter Users' Types and Motivations using Social and Textual Information. CoRR abs/2012.09332 (2020) - [i9]Rajkumar Pujari, Dan Goldwasser:
Understanding Politics via Contextualized Discourse Processing. CoRR abs/2012.15784 (2020) - [i8]Rajkumar Pujari, Dan Goldwasser:
Using Natural Language Relations between Answer Choices for Machine Comprehension. CoRR abs/2012.15837 (2020)
2010 – 2019
- 2019
- [c45]Yi-Yu Lai, Jennifer Neville, Dan Goldwasser:
TransConv: Relationship Embedding in Social Networks. AAAI 2019: 4130-4138 - [c44]Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru:
Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols. AAAI 2019: 9478-9483 - [c43]Xiao Zhang, Dan Goldwasser:
Sentiment Tagging with Partial Labels using Modular Architectures. ACL (1) 2019: 579-590 - [c42]Chang Li, Dan Goldwasser:
Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media. ACL (1) 2019: 2594-2604 - [c41]I-Ta Lee, Dan Goldwasser:
Multi-Relational Script Learning for Discourse Relations. ACL (1) 2019: 4214-4226 - [c40]Xiao Zhang, Manish Marwah, I-Ta Lee, Martin F. Arlitt, Dan Goldwasser:
ACE - An Anomaly Contribution Explainer for Cyber-Security Applications. IEEE BigData 2019: 1991-2000 - [c39]Nikhil Mehta, Dan Goldwasser:
Improving Natural Language Interaction with Robots Using Advice. NAACL-HLT (1) 2019: 1962-1967 - [c38]Rajkumar Pujari, Dan Goldwasser:
Using Natural Language Relations between Answer Choices for Machine Comprehension. NAACL-HLT (1) 2019: 4010-4015 - [i7]Nikhil Mehta, Dan Goldwasser:
Improving Natural Language Interaction with Robots Using Advice. CoRR abs/1905.04655 (2019) - [i6]Xiao Zhang, Dan Goldwasser:
Sentiment Tagging with Partial Labels using Modular Architectures. CoRR abs/1906.00534 (2019) - [i5]Luke S. Snyder, Yi-Shan Lin, Morteza Karimzadeh, Dan Goldwasser, David S. Ebert:
Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness. CoRR abs/1908.02588 (2019) - [i4]Xiao Zhang, Manish Marwah, I-Ta Lee, Martin F. Arlitt, Dan Goldwasser:
An Anomaly Contribution Explainer for Cyber-Security Applications. CoRR abs/1912.00314 (2019) - 2018
- [j4]Christopher N. Gutierrez, Taegyu Kim, Raffaele Della Corte, Jeffrey Avery, Dan Goldwasser, Marcello Cinque, Saurabh Bagchi:
Learning from the Ones that Got Away: Detecting New Forms of Phishing Attacks. IEEE Trans. Dependable Secur. Comput. 15(6): 988-1001 (2018) - [c37]I-Ta Lee, Dan Goldwasser:
FEEL: Featured Event Embedding Learning. AAAI 2018: 4840-4847 - [c36]Kristen Johnson, Dan Goldwasser:
Classification of Moral Foundations in Microblog Political Discourse. ACL (1) 2018: 720-730 - [c35]Chang Li, Aldo Porco, Dan Goldwasser:
Structured Representation Learning for Online Debate Stance Prediction. COLING 2018: 3728-3739 - [c34]Gaurav Nanda, Nathan M. Hicks, David R. Waller, Kerrie Anna Douglas, Dan Goldwasser:
Understanding Learners' Opinion about Participation Certificates in Online Courses using Topic Modeling. EDM 2018 - [i3]Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru:
Leveraging Textual Specifications for Grammar-based Fuzzing of Network Protocols. CoRR abs/1810.04755 (2018) - 2017
- [c33]Kristen Johnson, Di Jin, Dan Goldwasser:
Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter. ACL (1) 2017: 741-752 - [c32]Kristen Johnson, I-Ta Lee, Dan Goldwasser:
Ideological Phrase Indicators for Classification of Political Discourse Framing on Twitter. NLP+CSS@ACL 2017: 90-99 - [c31]Ayush Patwari, Dan Goldwasser, Saurabh Bagchi:
TATHYA: A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates. CIKM 2017: 2259-2262 - [c30]Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, Dan Goldwasser:
Semi-supervised Structured Prediction with Neural CRF Autoencoder. EMNLP 2017: 1701-1711 - [c29]Kristen Johnson, Di Jin, Dan Goldwasser:
Modeling of Political Discourse Framing on Twitter. ICWSM 2017: 556-559 - [c28]I-Ta Lee, Mahak Goindani, Chang Li, Di Jin, Kristen Johnson, Xiao Zhang, Maria Leonor Pacheco, Dan Goldwasser:
PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings. SemEval@ACL 2017: 198-202 - 2016
- [j3]Dan Goldwasser, Xiao Zhang:
Understanding Satirical Articles Using Common-Sense. Trans. Assoc. Comput. Linguistics 4: 537-549 (2016) - [c27]Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III:
Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text. AAAI 2016: 2697-2703 - [c26]Kristen Johnson, Dan Goldwasser:
Identifying Stance by Analyzing Political Discourse on Twitter. NLP+CSS@EMNLP 2016: 66-75 - [c25]Kristen Johnson, Dan Goldwasser:
"All I know about politics is what I read in Twitter": Weakly Supervised Models for Extracting Politicians' Stances From Twitter. COLING 2016: 2966-2977 - [c24]Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, Abdullah Khan Zehady, Pranjal Daga, Di Jin, Ayush Parolia, Dan Goldwasser:
Adapting Event Embedding for Implicit Discourse Relation Recognition. CoNLL Shared Task 2016: 136-142 - [c23]Xiao Zhang, Maria Leonor Pacheco, Chang Li, Dan Goldwasser:
Introducing DRAIL - a Step Towards Declarative Deep Relational Learning. SPNLP@EMNLP 2016: 54-62 - [c22]Yi-Yu Lai, Chang Li, Dan Goldwasser, Jennifer Neville:
Better Together: Combining Language and Social Interactions into a Shared Representation. TextGraphs@NAACL-HLT 2016: 29-33 - 2015
- [i2]Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III:
Ask, and shall you receive? Understanding Desire Fulfillment in Natural Language Text. CoRR abs/1511.09460 (2015) - 2014
- [j2]Dan Goldwasser, Dan Roth:
Learning from natural instructions. Mach. Learn. 94(2): 205-232 (2014) - [c21]Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor:
Learning Latent Engagement Patterns of Students in Online Courses. AAAI 2014: 1272-1278 - [c20]Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III:
Predicting Instructor's Intervention in MOOC forums. ACL (1) 2014: 1501-1511 - [c19]Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor:
Understanding MOOC Discussion Forums using Seeded LDA. BEA@ACL 2014: 28-33 - [c18]Dan Goldwasser, Hal Daumé III:
"I Object!" Modeling Latent Pragmatic Effects in Courtroom Dialogues. EACL 2014: 655-663 - [c17]Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor:
Uncovering hidden engagement patterns for predicting learner performance in MOOCs. L@S 2014: 157-158 - [c16]Zhengzheng Xu, Dan Goldwasser, Benjamin B. Bederson, Jimmy Lin:
Visual analytics of MOOCs at maryland. L@S 2014: 195-196 - 2013
- [c15]Dan Goldwasser, Dan Roth:
Leveraging Domain-Independent Information in Semantic Parsing. ACL (2) 2013: 462-466 - 2012
- [b1]Dan Goldwasser:
Learning from natural instructions. University of Illinois Urbana-Champaign, USA, 2012 - [c14]Dan Goldwasser, Vivek Srikumar, Dan Roth:
Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP. HLT-NAACL 2012 - 2011
- [j1]Peleg Yiftachel, Irit Hadar, Dan Peled, Eitan Farchi, Dan Goldwasser:
The Study of Resource Allocation among Software Development Phases: An Economics-Based Approach. Adv. Softw. Eng. 2011: 579292:1-579292:21 (2011) - [c13]Dan Goldwasser, Roi Reichart, James Clarke, Dan Roth:
Confidence Driven Unsupervised Semantic Parsing. ACL 2011: 1486-1495 - [c12]Dan Goldwasser, Dan Roth:
Learning from Natural Instructions. IJCAI 2011: 1794-1800 - [c11]Ming-Wei Chang, James Clarke, Dan Goldwasser, Lev-Arie Ratinov, Vivek Srikumar, Dan Roth:
Structured prediction with indirect supervision. MLSLP 2011 - 2010
- [c10]James Clarke, Dan Goldwasser, Ming-Wei Chang, Dan Roth:
Driving Semantic Parsing from the World's Response. CoNLL 2010: 18-27 - [c9]Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth:
Structured Output Learning with Indirect Supervision. ICML 2010: 199-206 - [c8]Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Srikumar:
Discriminative Learning over Constrained Latent Representations. HLT-NAACL 2010: 429-437
2000 – 2009
- 2009
- [c7]Jacob Eisenstein, James Clarke, Dan Goldwasser, Dan Roth:
Reading to Learn: Constructing Features from Semantic Abstracts. EMNLP 2009: 958-967 - [c6]Ming-Wei Chang, Dan Goldwasser, Dan Roth, Yuancheng Tu:
Unsupervised Constraint Driven Learning For Transliteration Discovery. HLT-NAACL 2009: 299-307 - [i1]Mark Sammons, V. G. Vinod Vydiswaran, Tim Vieira, Nikhil Johri, Ming-Wei Chang, Dan Goldwasser, Vivek Srikumar, Gourab Kundu, Yuancheng Tu, Kevin Small, Joshua S. Rule, Quang Do, Dan Roth:
Relation Alignment for Textual Entailment Recognition. TAC 2009 - 2008
- [c5]Dan Goldwasser, Dan Roth:
Active Sample Selection for Named Entity Transliteration. ACL (2) 2008: 53-56 - [c4]Dan Goldwasser, Dan Roth:
Transliteration as Constrained Optimization. EMNLP 2008: 353-362 - [c3]Dan Goldwasser, Ofer Strichman, Shai Fine:
A Theory-Based Decision Heuristic for DPLL(T). FMCAD 2008: 1-8 - 2007
- [c2]Massimo Zancanaro, Tsvi Kuflik, Zvi Boger, Dina Goren-Bar, Dan Goldwasser:
Analyzing Museum Visitors' Behavior Patterns. User Modeling 2007: 238-246 - 2006
- [c1]Shlomo Berkovsky, Dan Goldwasser, Tsvi Kuflik, Francesco Ricci:
Identifying Inter-Domain Similarities Through Content-Based Analysis of Hierarchical Web-Directories. ECAI 2006: 789-790
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-19 21:42 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
