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ORCIDDan Roth
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- affiliation: University of Illinois, USA
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2020 – today
- 2020
[j55]Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H. Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Andrew Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov:
Task-Oriented Dialogue as Dataflow Synthesis. Trans. Assoc. Comput. Linguistics 8: 556-571 (2020)- [c306]Stephen Mayhew, Nitish Gupta, Dan Roth:
Robust Named Entity Recognition with Truecasing Pretraining. AAAI 2020: 8480-8487 - [c305]Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi, Dan Roth:
Commonsense Reasoning for Natural Language Processing. ACL (tutorial) 2020: 27-33 - [c304]Yi Zhang, Zachary G. Ives, Dan Roth:
"Who said it, and Why?" Provenance for Natural Language Claims. ACL 2020: 4416-4426 - [c303]Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal, Dan Roth:
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses. ACL 2020: 5715-5725 - [c302]Ben Zhou, Qiang Ning, Daniel Khashabi, Dan Roth:
Temporal Common Sense Acquisition with Minimal Supervision. ACL 2020: 7579-7589 - [c301]Hangfeng He, Qiang Ning, Dan Roth:
QuASE: Question-Answer Driven Sentence Encoding. ACL 2020: 8743-8758 - [c300]Haoyu Wang, Muhao Chen, Hongming Zhang, Dan Roth:
Joint Constrained Learning for Event-Event Relation Extraction. EMNLP (1) 2020: 696-706 - [c299]Zi Lin, Jeremiah Z. Liu, Zi Yang, Nan Hua, Dan Roth:
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior. EMNLP (Findings) 2020: 719-730 - [c298]Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth:
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. EMNLP (1) 2020: 1158-1172 - [c297]Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, Dan Roth:
Analogous Process Structure Induction for Sub-event Sequence Prediction. EMNLP (1) 2020: 1541-1550 - [c296]Zihan Wang, Karthikeyan K, Stephen Mayhew, Dan Roth:
Extending Multilingual BERT to Low-Resource Languages. EMNLP (Findings) 2020: 2649-2656 - [c295]Krunal Shah, Nitish Gupta, Dan Roth:
What do we expect from Multiple-choice QA Systems? EMNLP (Findings) 2020: 3547-3553 - [c294]Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth:
Do Language Embeddings capture Scales? EMNLP (Findings) 2020: 4889-4896 - [c293]Xingyu Fu, Weijia Shi, Xiaodong Yu, Zian Zhao, Dan Roth:
Design Challenges in Low-resource Cross-lingual Entity Linking. EMNLP (1) 2020: 6418-6432 - [c292]Annie Louis, Dan Roth, Filip Radlinski:
"I'd rather just go to bed": Understanding Indirect Answers. EMNLP (1) 2020: 7411-7425 - [c291]Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner:
Neural Module Networks for Reasoning over Text. ICLR 2020 - [c290]Karthikeyan K, Zihan Wang, Stephen Mayhew, Dan Roth:
Cross-Lingual Ability of Multilingual BERT: An Empirical Study. ICLR 2020 - [c289]Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth:
TransOMCS: From Linguistic Graphs to Commonsense Knowledge. IJCAI 2020: 4004-4010 - [c288]Soham Dan, Hangfeng He, Dan Roth:
Understanding Spatial Relations through Multiple Modalities. LREC 2020: 2368-2372 - [c287]Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Zheng Cai, Martha Palmer, Dan Roth:
From Spatial Relations to Spatial Configurations. LREC 2020: 5855-5864 - [i102]Zihan Wang, Karthikeyan K, Stephen Mayhew, Dan Roth:
Extending Multilingual BERT to Low-Resource Languages. CoRR abs/2004.13640 (2020) - [i101]Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth:
Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text. CoRR abs/2005.00171 (2020) - [i100]Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth:
TransOMCS: From Linguistic Graphs to Commonsense Knowledge. CoRR abs/2005.00206 (2020) - [i99]Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth:
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. CoRR abs/2005.00242 (2020) - [i98]Xingyu Fu, Weijia Shi, Zian Zhao, Xiaodong Yu, Dan Roth:
Design Challenges for Low-resource Cross-lingual Entity Linking. CoRR abs/2005.00692 (2020) - [i97]Ben Zhou, Qiang Ning, Daniel Khashabi, Dan Roth:
Temporal Common Sense Acquisition with Minimal Supervision. CoRR abs/2005.04304 (2020) - [i96]Ansel MacLaughlin, Tao Chen, Burcu Karagol Ayan, Dan Roth:
Context-Based Quotation Recommendation. CoRR abs/2005.08319 (2020) - [i95]Abhijit Mahabal, Jason Baldridge, Burcu Karagol Ayan, Vincent Perot, Dan Roth:
Text Classification with Few Examples using Controlled Generalization. CoRR abs/2005.08469 (2020) - [i94]Dan Roth:
Incidental Supervision: Moving beyond Supervised Learning. CoRR abs/2005.12339 (2020) - [i93]Hangfeng He, Mingyuan Zhang, Qiang Ning, Dan Roth:
Foreshadowing the Benefits of Incidental Supervision. CoRR abs/2006.05500 (2020) - [i92]Kaifu Wang, Qiang Ning, Dan Roth:
Learnability with Indirect Supervision Signals. CoRR abs/2006.08791 (2020) - [i91]Tatiana Tsygankova, Francesca Marini, Stephen Mayhew, Dan Roth:
Building Low-Resource NER Models Using Non-Speaker Annotation. CoRR abs/2006.09627 (2020) - [i90]Daniel Deutsch, Dan Roth:
SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics. CoRR abs/2007.05374 (2020) - [i89]Soham Dan, Hangfeng He, Dan Roth:
Understanding Spatial Relations through Multiple Modalities. CoRR abs/2007.09551 (2020) - [i88]Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Jon Cai, Martha Palmer, Dan Roth:
From Spatial Relations to Spatial Configurations. CoRR abs/2007.09557 (2020) - [i87]Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H. Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Andrew Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov:
Task-Oriented Dialogue as Dataflow Synthesis. CoRR abs/2009.11423 (2020) - [i86]Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier:
Visual Pivoting for (Unsupervised) Entity Alignment. CoRR abs/2009.13603 (2020) - [i85]Daniel Deutsch, Tania Bedrax-Weiss, Dan Roth:
Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary. CoRR abs/2010.00490 (2020) - [i84]Zi Lin, Jeremiah Zhe Liu, Zi Yang, Nan Hua, Dan Roth:
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior. CoRR abs/2010.01791 (2020) - [i83]Annie Louis, Dan Roth, Filip Radlinski:
"I'd rather just go to bed": Understanding Indirect Answers. CoRR abs/2010.03450 (2020) - [i82]Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth:
Do Language Embeddings Capture Scales? CoRR abs/2010.05345 (2020) - [i81]Muhao Chen, Hongming Zhang, Haoyu Wang, Dan Roth:
"What Are You Trying to Do?" Semantic Typing of Event Processes. CoRR abs/2010.06724 (2020) - [i80]Haoyu Wang, Muhao Chen, Hongming Zhang, Dan Roth:
Joint Constrained Learning for Event-Event Relation Extraction. CoRR abs/2010.06727 (2020) - [i79]Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, Dan Roth:
Analogous Process Structure Induction for Sub-event Sequence Prediction. CoRR abs/2010.08525 (2020) - [i78]Daniel Deutsch, Dan Roth:
Understanding the Extent to which Summarization Evaluation Metrics Measure the Information Quality of Summaries. CoRR abs/2010.12495 (2020) - [i77]Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, Dan Roth:
Temporal Reasoning on Implicit Events from Distant Supervision. CoRR abs/2010.12753 (2020) - [i76]Xiaodong Yu, Wenpeng Yin, Dan Roth:
Paired Representation Learning for Event and Entity Coreference. CoRR abs/2010.12808 (2020) - [i75]Krunal Shah, Nitish Gupta, Dan Roth:
What do we expect from Multiple-choice QA Systems? CoRR abs/2011.10647 (2020)
2010 – 2019
- 2019
- [j54]Yangqiu Song
, Shyam Upadhyay, Haoruo Peng, Stephen Mayhew, Dan Roth:
Toward any-language zero-shot topic classification of textual documents. Artif. Intell. 274: 133-150 (2019) - [j53]Mrinmaya Sachan, Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing:
Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks. Comput. Linguistics 45(4): 627-665 (2019) - [j52]Mayukh Das, Phillip Odom, Md Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan:
Planning with actively eliciting preferences. Knowl. Based Syst. 165: 219-227 (2019) - [j51]Alla Rozovskaya, Dan Roth:
Grammar Error Correction in Morphologically-Rich Languages: The Case of Russian. Trans. Assoc. Comput. Linguistics 7: 1-17 (2019) - [c286]Sihao Chen, Daniel Khashabi, Chris Callison-Burch, Dan Roth:
PerspectroScope: A Window to the World of Diverse Perspectives. ACL (3) 2019: 129-134 - [c285]Yi Zhang, Zachary G. Ives, Dan Roth:
Evidence-based Trustworthiness. ACL (1) 2019: 413-423 - [c284]Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth:
How Large Are Lions? Inducing Distributions over Quantitative Attributes. ACL (1) 2019: 3973-3983 - [c283]Daniel Deutsch, Shyam Upadhyay, Dan Roth:
A General-Purpose Algorithm for Constrained Sequential Inference. CoNLL 2019: 482-492 - [c282]Haoruo Peng, Qiang Ning, Dan Roth:
KnowSemLM: A Knowledge Infused Semantic Language Model. CoNLL 2019: 550-562 - [c281]Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth:
Named Entity Recognition with Partially Annotated Training Data. CoNLL 2019: 645-655 - [c280]Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, David A. McAllester, Dan Roth:
Evidence Sentence Extraction for Machine Reading Comprehension. CoNLL 2019: 696-707 - [c279]Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth:
"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding. EMNLP/IJCNLP (1) 2019: 3361-3367 - [c278]Daniel Deutsch, Dan Roth:
Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization. EMNLP/IJCNLP (1) 2019: 3718-3727 - [c277]Wenpeng Yin, Jamaal Hay, Dan Roth:
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. EMNLP/IJCNLP (1) 2019: 3912-3921 - [c276]Qiang Ning, Sanjay Subramanian, Dan Roth:
An Improved Neural Baseline for Temporal Relation Extraction. EMNLP/IJCNLP (1) 2019: 6202-6208 - [c275]Stephen Mayhew, Tatiana Tsygankova, Dan Roth:
ner and pos when nothing is capitalized. EMNLP/IJCNLP (1) 2019: 6255-6260 - [c274]Chao Ma, F. A. Rezaur Rahman Chowdhury, Aryan Deshwal, Md Rakibul Islam, Janardhan Rao Doppa, Dan Roth:
Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning. IJCAI 2019: 5130-5138 - [c273]Aryan Deshwal, Janardhan Rao Doppa, Dan Roth:
Learning and Inference for Structured Prediction: A Unifying Perspective. IJCAI 2019: 6291-6299 - [c272]Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat, Dan Roth:
DiAd: Domain Adaptation for Learning at Scale. LAK 2019: 185-194 - [c271]Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth:
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. NAACL-HLT (1) 2019: 542-557 - [c270]Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth:
Partial Or Complete, That's The Question. NAACL-HLT (1) 2019: 2190-2200 - [c269]Abhijit Mahabal, Jason Baldridge, Burcu Karagol Ayan, Vincent Perot, Dan Roth:
Text Classification with Few Examples using Controlled Generalization. NAACL-HLT (1) 2019: 3158-3167 - [c268]Sanjay Subramanian, Dan Roth:
Improving Generalization in Coreference Resolution via Adversarial Training. *SEM@NAACL-HLT 2019: 192-197 - [i74]Daniel Khashabi, Erfan Sadeqi Azer, Tushar Khot, Ashish Sabharwal, Dan Roth:
On the Capabilities and Limitations of Reasoning for Natural Language Understanding. CoRR abs/1901.02522 (2019) - [i73]Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, Dan Roth, David A. McAllester:
Evidence Sentence Extraction for Machine Reading Comprehension. CoRR abs/1902.08852 (2019) - [i72]Stephen Mayhew, Tatiana Tsygankova, Dan Roth:
ner and pos when nothing is capitalized. CoRR abs/1903.11222 (2019) - [i71]Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth:
How Large Are Lions? Inducing Distributions over Quantitative Attributes. CoRR abs/1906.01327 (2019) - [i70]Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth:
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. CoRR abs/1906.03538 (2019) - [i69]Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth:
Question Answering as Global Reasoning over Semantic Abstractions. CoRR abs/1906.03672 (2019) - [i68]Sihao Chen, Daniel Khashabi, Chris Callison-Burch, Dan Roth:
PerspectroScope: A Window to the World of Diverse Perspectives. CoRR abs/1906.04761 (2019) - [i67]Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth:
Partial Or Complete, That's The Question. CoRR abs/1906.04937 (2019) - [i66]Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth:
CogCompTime: A Tool for Understanding Time in Natural Language Text. CoRR abs/1906.04940 (2019) - [i65]Qiang Ning, Zhili Feng, Hao Wu, Dan Roth:
Joint Reasoning for Temporal and Causal Relations. CoRR abs/1906.04941 (2019) - [i64]Qiang Ning, Zhili Feng, Dan Roth:
A Structured Learning Approach to Temporal Relation Extraction. CoRR abs/1906.04943 (2019) - [i63]Parisa Kordjamshidi, Dan Roth, Kristian Kersting:
Declarative Learning-Based Programming as an Interface to AI Systems. CoRR abs/1906.07809 (2019) - [i62]Ben Zhou, Daniel Khashabi, Chen-Tse Tsai, Dan Roth:
Zero-Shot Open Entity Typing as Type-Compatible Grounding. CoRR abs/1907.03228 (2019) - [i61]Haoruo Peng, Daniel Khashabi, Dan Roth:
Solving Hard Coreference Problems. CoRR abs/1907.05524 (2019) - [i60]Sanjay Subramanian, Dan Roth:
Improving Generalization in Coreference Resolution via Adversarial Training. CoRR abs/1908.04728 (2019) - [i59]Wenpeng Yin, Jamaal Hay, Dan Roth:
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. CoRR abs/1909.00161 (2019) - [i58]Hangfeng He, Qiang Ning, Dan Roth:
Incidental Supervision from Question-Answering Signals. CoRR abs/1909.00333 (2019) - [i57]Qiang Ning, Sanjay Subramanian, Dan Roth:
An Improved Neural Baseline for Temporal Relation Extraction. CoRR abs/1909.00429 (2019) - [i56]Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth:
"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding. CoRR abs/1909.03065 (2019) - [i55]Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth:
Named Entity Recognition with Partially Annotated Training Data. CoRR abs/1909.09270 (2019) - [i54]Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal, Dan Roth:
Not All Claims are Created Equal: Choosing the Right Approach to Assess Your Hypotheses. CoRR abs/1911.03850 (2019) - [i53]Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner:
Neural Module Networks for Reasoning over Text. CoRR abs/1912.04971 (2019) - [i52]Stephen Mayhew, Nitish Gupta, Dan Roth:
Robust Named Entity Recognition with Truecasing Pretraining. CoRR abs/1912.07095 (2019) - [i51]Karthikeyan K, Zihan Wang, Stephen Mayhew, Dan Roth:
Cross-Lingual Ability of Multilingual BERT: An Empirical Study. CoRR abs/1912.07840 (2019) - [i50]Ido Dagan, Iryna Gurevych, Dan Roth, Amanda Stent:
Multi-Document Information Consolidation (Dagstuhl Seminar 19182). Dagstuhl Reports 9(4): 124-140 (2019) - 2018
- [j50]Chen-Tse Tsai, Stephen Mayhew, Yangqiu Song, Mark Sammons, Dan Roth:
Illinois CCG LoReHLT 2016 named entity recognition and situation frame systems. Mach. Transl. 32(1-2): 91-103 (2018) - [j49]Subhro Roy, Dan Roth:
Mapping to Declarative Knowledge for Word Problem Solving. Trans. Assoc. Comput. Linguistics 6: 159-172 (2018) - [c267]Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth:
Question Answering as Global Reasoning Over Semantic Abstractions. AAAI 2018: 1905-1914 - [c266]Chen-Tse Tsai, Dan Roth:
Learning Better Name Translation for Cross-Lingual Wikification. AAAI 2018: 5528-5536 - [c265]Avirup Sil, Heng Ji, Dan Roth, Silviu-Petru Cucerzan:
Multi-lingual Entity Discovery and Linking. ACL (5) 2018: 22-29 - [c264]Stephen Mayhew, Dan Roth:
TALEN: Tool for Annotation of Low-resource ENtities. ACL (4) 2018: 80-86 - [c263]Wenpeng Yin, Dan Roth, Hinrich Schütze:
End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions. ACL (2) 2018: 540-545 - [c262]Qiang Ning, Hao Wu, Dan Roth:
A Multi-Axis Annotation Scheme for Event Temporal Relations. ACL (1) 2018: 1318-1328 - [c261]Daniel Deutsch, John Hewitt, Dan Roth:
A Distributional and Orthographic Aggregation Model for English Derivational Morphology. ACL (1) 2018: 1938-1947 - [c260]Qiang Ning, Zhili Feng, Hao Wu, Dan Roth:
Joint Reasoning for Temporal and Causal Relations. ACL (1) 2018: 2278-2288 - [c259]Mayukh Das, Phillip Odom, Md Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan:
Preference-Guided Planning: An Active Elicitation Approach. AAMAS 2018: 1921-1923 - [c258]Lori Moon, Christos Christodoulopoulos, Cynthia Fisher, Sandra Franco, Dan Roth:
Gold Standard Annotations for Preposition and Verb Sense with Semantic Role Labels in Adult-Child Interactions. COLING 2018: 3004-3014 - [c257]Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth:
CogCompTime: A Tool for Understanding Time in Natural Language. EMNLP (Demonstration) 2018: 72-77 - [c256]Wenpeng Yin, Dan Roth:
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification. EMNLP 2018: 105-114 - [c255]Shyam Upadhyay, Jordan Kodner, Dan Roth:
Bootstrapping Transliteration with Guided Discovery for Low-Resource Languages. EMNLP 2018: 501-511 - [c254]Ben Zhou, Daniel Khashabi, Chen-Tse Tsai, Dan Roth:
Zero-Shot Open Entity Typing as Type-Compatible Grounding. EMNLP 2018: 2065-2076 - [c253]Shyam Upadhyay, Nitish Gupta, Dan Roth:
Joint Multilingual Supervision for Cross-lingual Entity Linking. EMNLP 2018: 2486-2495 - [c252]Xiaodong Yu, Stephen Mayhew, Mark Sammons, Dan Roth:
On the Strength of Character Language Models for Multilingual Named Entity Recognition. EMNLP 2018: 3073-3077 - [c251]Parisa Kordjamshidi, Dan Roth, Kristian Kersting:
Systems AI: A Declarative Learning Based Programming Perspective. IJCAI 2018: 5464-5471 - [c250]Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev-Arie Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth:
CogCompNLP: Your Swiss Army Knife for NLP. LREC 2018 - [c249]Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, Shyam Upadhyay, Dan Roth:
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences. NAACL-HLT 2018: 252-262 - [c248]Shyam Upadhyay, Yogarshi Vyas, Marine Carpuat, Dan Roth:
Robust Cross-Lingual Hypernymy Detection Using Dependency Context. NAACL-HLT 2018: 607-618 - [c247]Snigdha Chaturvedi, Shashank Srivastava, Dan Roth:
Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes. NAACL-HLT (2) 2018: 673-678 - [c246]Qiang Ning, Hao Wu, Haoruo Peng, Dan Roth:
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource. NAACL-HLT 2018: 841-851 - [c245]Mrinmaya Sachan, Kumar Avinava Dubey, Tom M. Mitchell, Dan Roth, Eric P. Xing:
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems. NeurIPS 2018: 140-151 - [c244]Qiang Ning, Zhongzhi Yu, Chuchu Fan, Dan Roth:
Exploiting Partially Annotated Data in Temporal Relation Extraction. *SEM@NAACL-HLT 2018: 148-153 - [c243]Wenpeng Yin, Dan Roth:
Term Definitions Help Hypernymy Detection. *SEM@NAACL-HLT 2018: 203-213 - [c242]Abhijit Mahabal, Dan Roth, Sid Mittal:
Robust Handling of Polysemy via Sparse Representations. *SEM@NAACL-HLT 2018: 265-275 - [i49]Shyam Upadhyay, Yogarshi Vyas, Marine Carpuat, Dan Roth:
Robust Cross-lingual Hypernymy Detection using Dependency Context. CoRR abs/1803.11291 (2018) - [i48]