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2020 – today
- 2024
[c63]Junmo Kang, Hongyin Luo, Yada Zhu, Jacob A. Hansen, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky:
Self-Specialization: Uncovering Latent Expertise within Large Language Models. ACL (Findings) 2024: 2681-2706- [c62]Ruohao Guo, Wei Xu, Alan Ritter:
Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding. ACL (1) 2024: 13708-13731 - [c61]Yao Dou, Isadora Krsek, Tarek Naous, Anubha Kabra, Sauvik Das, Alan Ritter, Wei Xu:
Reducing Privacy Risks in Online Self-Disclosures with Language Models. ACL (1) 2024: 13732-13754 - [c60]Jonathan Zheng, Alan Ritter, Wei Xu:
NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms. ACL (1) 2024: 13885-13906 - [c59]Tarek Naous, Michael J. Ryan, Alan Ritter, Wei Xu:
Having Beer after Prayer? Measuring Cultural Bias in Large Language Models. ACL (1) 2024: 16366-16393 - [c58]Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Mark Dredze, Alan Ritter:
Schema-Driven Information Extraction from Heterogeneous Tables. EMNLP (Findings) 2024: 10252-10273 - [c57]Ethan Mendes, Yang Chen, James Hays, Sauvik Das, Wei Xu, Alan Ritter:
Granular Privacy Control for Geolocation with Vision Language Models. EMNLP 2024: 17240-17292 - [c56]Duong Minh Le, Yang Chen, Alan Ritter, Wei Xu:
Constrained Decoding for Cross-lingual Label Projection. ICLR 2024 - [c55]Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell:
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. ICLR 2024 - [i47]Duong Minh Le, Yang Chen, Alan Ritter, Wei Xu:
Constrained Decoding for Cross-lingual Label Projection. CoRR abs/2402.03131 (2024) - [i46]Anton Lavrouk, Ian Ligon, Tarek Naous, Jonathan Zheng, Alan Ritter, Wei Xu:
Stanceosaurus 2.0: Classifying Stance Towards Russian and Spanish Misinformation. CoRR abs/2402.03642 (2024) - [i45]Jonathan Zheng, Alan Ritter, Wei Xu:
NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms. CoRR abs/2402.12261 (2024) - [i44]Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, Jim Glass, David D. Cox, Rameswar Panda, Rogério Feris, Alan Ritter:
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts. CoRR abs/2406.12034 (2024) - [i43]Ethan Mendes, Yang Chen, James Hays, Sauvik Das, Wei Xu, Alan Ritter:
Granular Privacy Control for Geolocation with Vision Language Models. CoRR abs/2407.04952 (2024) - 2023
- [c54]Yang Chen, Chao Jiang, Alan Ritter, Wei Xu
:
Frustratingly Easy Label Projection for Cross-lingual Transfer. ACL (Findings) 2023: 5775-5796 - [c53]Shuheng Liu, Alan Ritter:
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023? ACL (1) 2023: 8254-8271 - [c52]Duong Minh Le, Ruohao Guo, Wei Xu, Alan Ritter:
Improved Instruction Ordering in Recipe-Grounded Conversation. ACL (1) 2023: 10086-10104 - [c51]Junmo Kang, Wei Xu, Alan Ritter:
Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models. ACL (1) 2023: 11100-11119 - [c50]Ethan Mendes, Yang Chen, Wei Xu, Alan Ritter:
Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments. ACL (1) 2023: 15817-15835 - [c49]Yang Chen, Hexiang Hu, Yi Luan, Haitian Sun, Soravit Changpinyo, Alan Ritter, Ming-Wei Chang:
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? EMNLP 2023: 14948-14968 - [e8]Danushka Bollegala, Ruihong Huang, Alan Ritter:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, ACL 2023, Toronto, Canada, July 10-12, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-70-8 [contents] - [i42]Yang Chen, Hexiang Hu, Yi Luan, Haitian Sun, Soravit Changpinyo, Alan Ritter, Ming-Wei Chang:
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? CoRR abs/2302.11713 (2023) - [i41]Junmo Kang, Wei Xu, Alan Ritter:
Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models. CoRR abs/2305.01645 (2023) - [i40]Yang Chen, Vedaant Shah, Alan Ritter:
Better Low-Resource Entity Recognition Through Translation and Annotation Fusion. CoRR abs/2305.13582 (2023) - [i39]Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Alan Ritter:
Schema-Driven Information Extraction from Heterogeneous Tables. CoRR abs/2305.14336 (2023) - [i38]Nghia T. Le, Alan Ritter:
Are Large Language Models Robust Zero-shot Coreference Resolvers? CoRR abs/2305.14489 (2023) - [i37]Ruohao Guo, Wei Xu, Alan Ritter:
Instruction Tuning with Lexicons for Zero-Shot Style Classification. CoRR abs/2305.14592 (2023) - [i36]Duong Minh Le, Ruohao Guo, Wei Xu, Alan Ritter:
Improved Instruction Ordering in Recipe-Grounded Conversation. CoRR abs/2305.17280 (2023) - [i35]Junmo Kang, Hongyin Luo, Yada Zhu, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky:
Self-Specialization: Uncovering Latent Expertise within Large Language Models. CoRR abs/2310.00160 (2023) - [i34]Yang Chen, Ethan Mendes, Sauvik Das, Wei Xu, Alan Ritter:
Can Language Models be Instructed to Protect Personal Information? CoRR abs/2310.02224 (2023) - [i33]Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell:
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. CoRR abs/2311.01011 (2023) - [i32]Yao Dou, Isadora Krsek, Tarek Naous, Anubha Kabra, Sauvik Das, Alan Ritter, Wei Xu:
Reducing Privacy Risks in Online Self-Disclosures with Language Models. CoRR abs/2311.09538 (2023) - [i31]Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen:
UniIR: Training and Benchmarking Universal Multimodal Information Retrievers. CoRR abs/2311.17136 (2023) - 2022
- [c48]Shi Zong, Ashutosh Baheti, Wei Xu, Alan Ritter:
Extracting a Knowledge Base of COVID-19 Events from Social Media. COLING 2022: 3810-3823 - [c47]Fan Bai, Alan Ritter, Peter B. Madrid, Dayne Freitag, John Niekrasz:
SynKB: Semantic Search for Synthetic Procedures. EMNLP (Demos) 2022: 311-318 - [c46]Jonathan Zheng, Ashutosh Baheti, Tarek Naous, Wei Xu, Alan Ritter:
Stanceosaurus: Classifying Stance Towards Multicultural Misinformation. EMNLP 2022: 2132-2151 - [c45]Nghia T. Le, Fan Bai, Alan Ritter:
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts. EMNLP (Findings) 2022: 2693-2706 - [i30]Fan Bai, Alan Ritter, Peter B. Madrid, Dayne Freitag, John Niekrasz:
SynKB: Semantic Search for Synthetic Procedures. CoRR abs/2208.07400 (2022) - [i29]Nghia T. Le, Fan Bai, Alan Ritter:
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts. CoRR abs/2210.03690 (2022) - [i28]Jonathan Zheng, Ashutosh Baheti, Tarek Naous, Wei Xu, Alan Ritter:
Stanceosaurus: Classifying Stance Towards Multilingual Misinformation. CoRR abs/2210.15954 (2022) - [i27]Yang Chen, Chao Jiang, Alan Ritter, Wei Xu:
Frustratingly Easy Label Projection for Cross-lingual Transfer. CoRR abs/2211.15613 (2022) - [i26]Ethan Mendes, Yang Chen, Alan Ritter, Wei Xu:
Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments. CoRR abs/2212.09683 (2022) - [i25]Shuheng Liu, Alan Ritter:
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023? CoRR abs/2212.09747 (2022) - 2021
- [c44]Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky:
Process-Level Representation of Scientific Protocols with Interactive Annotation. EACL 2021: 2190-2202 - [c43]Ashutosh Baheti, Maarten Sap, Alan Ritter, Mark O. Riedl:
Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts. EMNLP (1) 2021: 4846-4862 - [c42]Fan Bai, Alan Ritter, Wei Xu:
Pre-train or Annotate? Domain Adaptation with a Constrained Budget. EMNLP (1) 2021: 5002-5015 - [c41]Yang Chen, Alan Ritter:
Model Selection for Cross-lingual Transfer. EMNLP (1) 2021: 5675-5687 - [e7]Wei Xu, Alan Ritter, Tim Baldwin, Afshin Rahimi:
Proceedings of the Seventh Workshop on Noisy User-generated Text, W-NUT 2021, Online, November 11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-90-9 [contents] - [i24]Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky:
Process-Level Representation of Scientific Protocols with Interactive Annotation. CoRR abs/2101.10244 (2021) - [i23]Ashutosh Baheti, Maarten Sap, Alan Ritter, Mark O. Riedl:
Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts. CoRR abs/2108.11830 (2021) - [i22]Fan Bai, Alan Ritter, Wei Xu:
Pre-train or Annotate? Domain Adaptation with a Constrained Budget. CoRR abs/2109.04711 (2021) - 2020
- [c40]Ashutosh Baheti, Alan Ritter, Kevin Small:
Fluent Response Generation for Conversational Question Answering. ACL 2020: 191-207 - [c39]Jeniya Tabassum, Mounica Maddela, Wei Xu, Alan Ritter:
Code and Named Entity Recognition in StackOverflow. ACL 2020: 4913-4926 - [c38]Shi Zong, Alan Ritter, Eduard H. Hovy:
Measuring Forecasting Skill from Text. ACL 2020: 5317-5331 - [c37]Jeniya Tabassum, Wei Xu, Alan Ritter:
WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols. W-NUT@EMNLP 2020: 260-267 - [c36]Wuwei Lan, Yang Chen, Wei Xu, Alan Ritter:
An Empirical Study of Pre-trained Transformers for Arabic Information Extraction. EMNLP (1) 2020: 4727-4734 - [e6]Wei Xu, Alan Ritter, Tim Baldwin, Afshin Rahimi:
Proceedings of the Sixth Workshop on Noisy User-generated Text, W-NUT@EMNLP 2020 Online, November 19, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-76-7 [contents] - [i21]Wuwei Lan, Yang Chen, Wei Xu, Alan Ritter:
A Focused Study to Compare Arabic Pre-training Models on Newswire IE Tasks. CoRR abs/2004.14519 (2020) - [i20]Jeniya Tabassum, Mounica Maddela, Wei Xu, Alan Ritter:
Code and Named Entity Recognition in StackOverflow. CoRR abs/2005.01634 (2020) - [i19]Ashutosh Baheti, Alan Ritter, Kevin Small:
Fluent Response Generation for Conversational Question Answering. CoRR abs/2005.10464 (2020) - [i18]Shi Zong, Ashutosh Baheti, Wei Xu, Alan Ritter:
Extracting COVID-19 Events from Twitter. CoRR abs/2006.02567 (2020) - [i17]Shi Zong, Alan Ritter, Eduard H. Hovy:
Measuring Forecasting Skill from Text. CoRR abs/2006.07425 (2020) - [i16]Yang Chen, Alan Ritter:
Model Selection for Cross-Lingual Transfer using a Learned Scoring Function. CoRR abs/2010.06127 (2020) - [i15]Jeniya Tabassum, Sydney Lee, Wei Xu, Alan Ritter:
WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols. CoRR abs/2010.14576 (2020)
2010 – 2019
- 2019
- [j6]Xiaonan Ji, Han-Wei Shen, Alan Ritter, Raghu Machiraju, Po-Yin Yen:
Visual Exploration of Neural Document Embedding in Information Retrieval: Semantics and Feature Selection. IEEE Trans. Vis. Comput. Graph. 25(6): 2181-2192 (2019) - [c35]Shi Zong, Alan Ritter, Graham Mueller, Evan Wright:
Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media. NAACL-HLT (1) 2019: 1380-1390 - [c34]Fan Bai, Alan Ritter:
Structured Minimally Supervised Learning for Neural Relation Extraction. NAACL-HLT (1) 2019: 3057-3069 - [e5]Wei Xu, Alan Ritter, Tim Baldwin, Afshin Rahimi:
Proceedings of the 5th Workshop on Noisy User-generated Text, W-NUT@EMNLP 2019, Hong Kong, China, November 4, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-84-0 [contents] - [i14]Shi Zong, Alan Ritter, Graham Mueller, Evan Wright:
Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media. CoRR abs/1902.10680 (2019) - [i13]Fan Bai, Alan Ritter:
Structured Minimally Supervised Learning for Neural Relation Extraction. CoRR abs/1904.00118 (2019) - [i12]Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, Veselin Stoyanov:
SemEval-2016 Task 4: Sentiment Analysis in Twitter. CoRR abs/1912.01973 (2019) - [i11]Sara Rosenthal, Saif M. Mohammad, Preslav Nakov, Alan Ritter, Svetlana Kiritchenko, Veselin Stoyanov:
SemEval-2015 Task 10: Sentiment Analysis in Twitter. CoRR abs/1912.02387 (2019) - [i10]Sara Rosenthal, Preslav Nakov, Alan Ritter, Veselin Stoyanov:
SemEval-2014 Task 9: Sentiment Analysis in Twitter. CoRR abs/1912.02990 (2019) - [i9]Preslav Nakov, Zornitsa Kozareva, Alan Ritter, Sara Rosenthal, Veselin Stoyanov, Theresa Wilson:
SemEval-2013 Task 2: Sentiment Analysis in Twitter. CoRR abs/1912.06806 (2019) - 2018
- [j5]Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling:
Never-ending learning. Commun. ACM 61(5): 103-115 (2018) - [c33]Ashutosh Baheti, Alan Ritter, Jiwei Li, Bill Dolan:
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints. EMNLP 2018: 3970-3980 - [c32]Chaitanya Kulkarni, Wei Xu, Alan Ritter, Raghu Machiraju:
An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols. NAACL-HLT (2) 2018: 97-106 - [e4]Wei Xu, Alan Ritter, Tim Baldwin, Afshin Rahimi:
Proceedings of the 4th Workshop on Noisy User-generated Text, NUT@EMNLP 2018, Brussels, Belgium, November 1, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-79-7 [contents] - [i8]Chaitanya Kulkarni, Wei Xu, Alan Ritter, Raghu Machiraju:
An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols. CoRR abs/1805.00195 (2018) - [i7]Ashutosh Baheti, Alan Ritter, Jiwei Li, Bill Dolan:
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints. CoRR abs/1809.01215 (2018) - 2017
- [j4]Xiaonan Ji, Alan Ritter, Po-Yin Yen:
Using ontology-based semantic similarity to facilitate the article screening process for systematic reviews. J. Biomed. Informatics 69: 33-42 (2017) - [c31]Sandesh Swamy, Alan Ritter, Marie-Catherine de Marneffe:
"i have a feeling trump will win..................": Forecasting Winners and Losers from User Predictions on Twitter. EMNLP 2017: 1583-1592 - [c30]Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, Dan Jurafsky:
Adversarial Learning for Neural Dialogue Generation. EMNLP 2017: 2157-2169 - [c29]Xiaonan Ji, Raghu Machiraju, Alan Ritter, Po-Yin Yen:
Visualizing Article Similarities via Sparsified Article Network and Map Projection for Systematic Reviews. MedInfo 2017: 422-426 - [c28]Alexander Konovalov, Benjamin Strauss, Alan Ritter, Brendan O'Connor:
Learning to Extract Events from Knowledge Base Revisions. WWW 2017: 1007-1014 - [e3]Leon Derczynski, Wei Xu, Alan Ritter, Tim Baldwin:
Proceedings of the 3rd Workshop on Noisy User-generated Text, NUT@EMNLP 2017, Copenhagen, Denmark, September 7, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-94-4 [contents] - [i6]Jiwei Li, Will Monroe, Tianlin Shi, Alan Ritter, Dan Jurafsky:
Adversarial Learning for Neural Dialogue Generation. CoRR abs/1701.06547 (2017) - [i5]Sandesh Swamy, Alan Ritter, Marie-Catherine de Marneffe:
"i have a feeling trump will win..................": Forecasting Winners and Losers from User Predictions on Twitter. CoRR abs/1707.07212 (2017) - 2016
- [j3]Preslav Nakov, Sara Rosenthal, Svetlana Kiritchenko, Saif M. Mohammad, Zornitsa Kozareva, Alan Ritter, Veselin Stoyanov, Xiaodan Zhu:
Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts. Lang. Resour. Evaluation 50(1): 35-65 (2016) - [c27]Benjamin Strauss, Bethany Toma, Alan Ritter, Marie-Catherine de Marneffe, Wei Xu:
Results of the WNUT16 Named Entity Recognition Shared Task. NUT@COLING 2016: 138-144 - [c26]Jeniya Tabassum, Alan Ritter, Wei Xu:
TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter. EMNLP 2016: 307-318 - [c25]Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, Jianfeng Gao:
Deep Reinforcement Learning for Dialogue Generation. EMNLP 2016: 1192-1202 - [c24]Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, Veselin Stoyanov:
SemEval-2016 Task 4: Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2016: 1-18 - [e2]Bo Han, Alan Ritter, Leon Derczynski, Wei Xu, Tim Baldwin:
Proceedings of the 2nd Workshop on Noisy User-generated Text, NUT@COLING 2016, Osaka, Japan, December 11, 2016. The COLING 2016 Organizing Committee 2016 [contents] - [i4]Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, Dan Jurafsky:
Deep Reinforcement Learning for Dialogue Generation. CoRR abs/1606.01541 (2016) - [i3]Jeniya Tabassum, Alan Ritter, Wei Xu:
A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter. CoRR abs/1608.02904 (2016) - 2015
- [c23]Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling:
Never-Ending Learning. AAAI 2015: 2302-2310 - [c22]Timothy Baldwin, Marie-Catherine de Marneffe, Bo Han, Young-Bum Kim, Alan Ritter, Wei Xu:
Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition. NUT@IJCNLP 2015: 126-135 - [c21]Xiaonan Ji, Raghu Machiraju, Alan Ritter, Po-Yin Yen:
Examining the Distribution, Modularity, and Community Structure in Article Networks for Systematic Reviews. AMIA 2015 - [c20]Xinlei Chen, Alan Ritter, Abhinav Gupta, Tom M. Mitchell:
Sense discovery via co-clustering on images and text. CVPR 2015: 5298-5306 - [c19]Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, Saif M. Mohammad, Alan Ritter, Veselin Stoyanov:
SemEval-2015 Task 10: Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2015: 451-463 - [c18]Alan Ritter, Evan Wright, William Casey, Tom M. Mitchell:
Weakly Supervised Extraction of Computer Security Events from Twitter. WWW 2015: 896-905 - [e1]Wei Xu, Bo Han, Alan Ritter:
Proceedings of the Workshop on Noisy User-generated Text, NUT@IJCNLP 2015, Beijing, China, July 31, 2015. Association for Computational Linguistics 2015, ISBN 978-1-941643-69-3 [contents] - [i2]Jiwei Li, Alan Ritter, Dan Jurafsky:
Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks. CoRR abs/1510.05198 (2015) - 2014
- [j2]Wei Xu, Alan Ritter, Chris Callison-Burch, William B. Dolan, Yangfeng Ji:
Extracting Lexically Divergent Paraphrases from Twitter. Trans. Assoc. Comput. Linguistics 2: 435-448 (2014) - [c17]Jiwei Li, Alan Ritter, Eduard H. Hovy:
Weakly Supervised User Profile Extraction from Twitter. ACL (1) 2014: 165-174 - [c16]Jiwei Li, Alan Ritter, Claire Cardie, Eduard H. Hovy:
Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts. EMNLP 2014: 1997-2007 - [c15]Justin Betteridge, Alan Ritter, Tom M. Mitchell:
Assuming Facts Are Expressed More Than Once. FLAIRS 2014 - [c14]Sara Rosenthal, Alan Ritter, Preslav Nakov, Veselin Stoyanov:
SemEval-2014 Task 9: Sentiment Analysis in Twitter. SemEval@COLING 2014: 73-80 - [i1]Jiwei Li, Alan Ritter, Dan Jurafsky:
Inferring User Preferences by Probabilistic Logical Reasoning over Social Networks. CoRR abs/1411.2679 (2014) - 2013
- [b1]Alan Ritter:
Extracting Knowledge from Twitter and The Web. University of Washington, USA, 2013 - [j1]Alan Ritter, Luke Zettlemoyer, Mausam, Oren Etzioni:
Modeling Missing Data in Distant Supervision for Information Extraction. Trans. Assoc. Comput. Linguistics 1: 367-378 (2013) - [c13]Wei Xu, Alan Ritter, Ralph Grishman:
Gathering and Generating Paraphrases from Twitter with Application to Normalization. BUCC@ACL 2013: 121-128 - [c12]Leon Derczynski, Alan Ritter, Sam Clark, Kalina Bontcheva:
Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data. RANLP 2013: 198-206 - [c11]Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, Veselin Stoyanov, Alan Ritter, Theresa Wilson:
SemEval-2013 Task 2: Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2013: 312-320 - 2012
- [c10]Wei Xu, Alan Ritter, Bill Dolan, Ralph Grishman, Colin Cherry:
Paraphrasing for Style. COLING 2012: 2899-2914 - [c9]Alan Ritter, Mausam, Oren Etzioni, Sam Clark:
Open domain event extraction from twitter. KDD 2012: 1104-1112 - 2011
- [c8]Alan Ritter, Colin Cherry, William B. Dolan:
Data-Driven Response Generation in Social Media. EMNLP 2011: 583-593 - [c7]Alan Ritter, Sam Clark, Mausam, Oren Etzioni:
Named Entity Recognition in Tweets: An Experimental Study. EMNLP 2011: 1524-1534 - 2010
- [c6]Alan Ritter, Mausam, Oren Etzioni:
A Latent Dirichlet Allocation Method for Selectional Preferences. ACL 2010: 424-434 - [c5]Alan Ritter, Colin Cherry, Bill Dolan:
Unsupervised Modeling of Twitter Conversations. HLT-NAACL 2010: 172-180
2000 – 2009
- 2009
- [c4]Alan Ritter, Stephen Soderland, Oren Etzioni:
What Is This, Anyway: Automatic Hypernym Discovery. AAAI Spring Symposium: Learning by Reading and Learning to Read 2009: 88-93 - [c3]Alan Ritter, Sumit Basu:
Learning to generalize for complex selection tasks. IUI 2009: 167-176 - 2008
- [c2]Alan Ritter, Stephen Soderland, Doug Downey, Oren Etzioni:
It's a Contradiction - no, it's not: A Case Study using Functional Relations. EMNLP 2008: 11-20 - 2006
- [c1]J. Michael Meehan, Alan Ritter:
Machine Learning Approach to Tuning Distributed Operating System Load Balancing Algorithms. PDCS 2006: 122-127
Coauthor Index
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