Instruct-Imagen: Image Generation with Multi-modal Instruction - Hexiang Hu; Kelvin C. K. Chan; Yu-Chuan Su; Wenhu Chen; Yandong Li; Kihyuk Sohn; Yang Zhao; Xue Ben; Boqing Gong; William W. Cohen; Ming-Wei Chang; Xuhui Jia (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions - Kai Zhang; Yi Luan; Hexiang Hu; Kenton Lee; Siyuan Qiao; Wenhu Chen; Yu Su; Ming-Wei Chang (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Instruct-Imagen: Image Generation with Multi-modal Instruction - Hexiang Hu; Kelvin C. K. Chan; Yu-Chuan Su; Wenhu Chen; Yandong Li; Kihyuk Sohn; Yang Zhao; Xue Ben; Boqing Gong; William W. Cohen; Ming-Wei Chang; Xuhui Jia (CoRR, 2024)

MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions - Kai Zhang; Yi Luan; Hexiang Hu; Kenton Lee; Siyuan Qiao; Wenhu Chen; Yu Su; Ming-Wei Chang (CoRR, 2024)

Gecko: Versatile Text Embeddings Distilled from Large Language Models - Jinhyuk Lee; Zhuyun Dai; Xiaoqi Ren; Blair Chen; Daniel Cer; Jeremy R. Cole; Kai Hui; Michael Boratko; Rajvi Kapadia; Wen Ding; Yi Luan; Sai Meher Karthik Duddu; et al. (CoRR, 2024)

Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? - Jinhyuk Lee; Anthony Chen; Zhuyun Dai; Dheeru Dua; Devendra Singh Sachan; Michael Boratko; Yi Luan; Sébastien M. R. Arnold; Vincent Perot; Siddharth Dalmia; Hexiang Hu; Xudong Lin; et al. (CoRR, 2024)

Imagen 3 - Jason Baldridge; Jakob Bauer; Mukul Bhutani; Nicole Brichtova; Andrew Bunner; Kelvin Chan; Yichang Chen; Sander Dieleman; Yuqing Du; Zach Eaton-Rosen; Hongliang Fei; Nando de Freitas; et al. (CoRR, 2024)

KITTEN: A Knowledge-Intensive Evaluation of Image Generation on Visual Entities - Hsin-Ping Huang; Xinyi Wang; Yonatan Bitton; Hagai Taitelbaum; Gaurav Singh Tomar; Ming-Wei Chang; Xuhui Jia; Kelvin C. K. Chan; Hexiang Hu; Yu-Chuan Su; Ming-Hsuan Yang (CoRR, 2024)

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations - Chaitanya Malaviya; Peter Shaw; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023, 2023)

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? - Yang Chen; Hexiang Hu; Yi Luan; Haitian Sun; Soravit Changpinyo; Alan Ritter; Ming-Wei Chang (Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, 2023)

Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities - Hexiang Hu; Yi Luan; Yang Chen; Urvashi Khandelwal; Mandar Joshi; Kenton Lee; Kristina Toutanova; Ming-Wei Chang (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

Promptagator: Few-shot Dense Retrieval From 8 Examples - Zhuyun Dai; Vincent Y. Zhao; Ji Ma; Yi Luan; Jianmo Ni; Jing Lu; Anton Bakalov; Kelvin Guu; Keith B. Hall; Ming-Wei Chang (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023)

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding - Kenton Lee; Mandar Joshi; Iulia Raluca Turc; Hexiang Hu; Fangyu Liu; Julian Martin Eisenschlos; Urvashi Khandelwal; Peter Shaw; Ming-Wei Chang; Kristina Toutanova (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Subject-driven Text-to-Image Generation via Apprenticeship Learning - Wenhu Chen; Hexiang Hu; Yandong Li; Nataniel Ruiz; Xuhui Jia; Ming-Wei Chang; William W. Cohen (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Rethinking the Role of Token Retrieval in Multi-Vector Retrieval - Jinhyuk Lee; Zhuyun Dai; Sai Meher Karthik Duddu; Tao Lei; Iftekhar Naim; Ming-Wei Chang; Vincent Zhao (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference - Tao Lei; Junwen Bai; Siddhartha Brahma; Joshua Ainslie; Kenton Lee; Yanqi Zhou; Nan Du; Vincent Y. Zhao; Yuexin Wu; Bo Li; Yu Zhang; Ming-Wei Chang (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities - Hexiang Hu; Yi Luan; Yang Chen; Urvashi Khandelwal; Mandar Joshi; Kenton Lee; Kristina Toutanova; Ming-Wei Chang (CoRR, 2023)

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? - Yang Chen; Hexiang Hu; Yi Luan; Haitian Sun; Soravit Changpinyo; Alan Ritter; Ming-Wei Chang (CoRR, 2023)

Subject-driven Text-to-Image Generation via Apprenticeship Learning - Wenhu Chen; Hexiang Hu; Yandong Li; Nataniel Ruiz; Xuhui Jia; Ming-Wei Chang; William W. Cohen (CoRR, 2023)

Rethinking the Role of Token Retrieval in Multi-Vector Retrieval - Jinhyuk Lee; Zhuyun Dai; Sai Meher Karthik Duddu; Tao Lei; Iftekhar Naim; Ming-Wei Chang; Vincent Y. Zhao (CoRR, 2023)

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference - Tao Lei; Junwen Bai; Siddhartha Brahma; Joshua Ainslie; Kenton Lee; Yanqi Zhou; Nan Du; Vincent Y. Zhao; Yuexin Wu; Bo Li; Yu Zhang; Ming-Wei Chang (CoRR, 2023)

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations - Chaitanya Malaviya; Peter Shaw; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (CoRR, 2023)

ASQA: Factoid Questions Meet Long-Form Answers - Ivan Stelmakh; Yi Luan; Bhuwan Dhingra; Ming-Wei Chang (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, 2022)

Meta-Learning Fast Weight Language Models - Kevin Clark; Kelvin Guu; Ming-Wei Chang; Panupong Pasupat; Geoffrey E. Hinton; Mohammad Norouzi (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, 2022)

Large Dual Encoders Are Generalizable Retrievers - Jianmo Ni; Chen Qu; Jing Lu; Zhuyun Dai; Gustavo Hernández Ábrego; Ji Ma; Vincent Y. Zhao; Yi Luan; Keith B. Hall; Ming-Wei Chang; Yinfei Yang (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, 2022)

FRUIT: Faithfully Reflecting Updated Information in Text - Robert L. Logan IV; Alexandre Passos; Sameer Singh; Ming-Wei Chang (Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022, 2022)

ASQA: Factoid Questions Meet Long-Form Answers - Ivan Stelmakh; Yi Luan; Bhuwan Dhingra; Ming-Wei Chang (CoRR, 2022)

Promptagator: Few-shot Dense Retrieval From 8 Examples - Zhuyun Dai; Vincent Y. Zhao; Ji Ma; Yi Luan; Jianmo Ni; Jing Lu; Anton Bakalov; Kelvin Guu; Keith B. Hall; Ming-Wei Chang (CoRR, 2022)

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding - Kenton Lee; Mandar Joshi; Iulia Turc; Hexiang Hu; Fangyu Liu; Julian Eisenschlos; Urvashi Khandelwal; Peter Shaw; Ming-Wei Chang; Kristina Toutanova (CoRR, 2022)

Meta-Learning Fast Weight Language Models - Kevin Clark; Kelvin Guu; Ming-Wei Chang; Panupong Pasupat; Geoffrey E. Hinton; Mohammad Norouzi (CoRR, 2022)

Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? - Peter Shaw; Ming-Wei Chang; Panupong Pasupat; Kristina Toutanova (Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021, 2021)

Joint Passage Ranking for Diverse Multi-Answer Retrieval - Sewon Min; Kenton Lee; Ming-Wei Chang; Kristina Toutanova; Hannaneh Hajishirzi (Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, 2021)

Open Question Answering over Tables and Text - Wenhu Chen; Ming-Wei Chang; Eva Schlinger; William Yang Wang; William W. Cohen (9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021)

Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations - Jonathan Herzig; Peter Shaw; Ming-Wei Chang; Kelvin Guu; Panupong Pasupat; Yuan Zhang (CoRR, 2021)

Joint Passage Ranking for Diverse Multi-Answer Retrieval - Sewon Min; Kenton Lee; Ming-Wei Chang; Kristina Toutanova; Hannaneh Hajishirzi (CoRR, 2021)

Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer - Iulia Turc; Kenton Lee; Jacob Eisenstein; Ming-Wei Chang; Kristina Toutanova (CoRR, 2021)

Large Dual Encoders Are Generalizable Retrievers - Jianmo Ni; Chen Qu; Jing Lu; Zhuyun Dai; Gustavo Hernández Ábrego; Ji Ma; Vincent Y. Zhao; Yi Luan; Keith B. Hall; Ming-Wei Chang; Yinfei Yang (CoRR, 2021)

FRUIT: Faithfully Reflecting Updated Information in Text - Robert L. Logan IV; Alexandre Passos; Sameer Singh; Ming-Wei Chang (CoRR, 2021)

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering - Hao Cheng; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020, 2020)

Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing - Alane Suhr; Ming-Wei Chang; Peter Shaw; Kenton Lee (Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020, 2020)

CapWAP: Image Captioning with a Purpose - Adam Fisch; Kenton Lee; Ming-Wei Chang; Jonathan H. Clark; Regina Barzilay (Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020, 2020)

Retrieval Augmented Language Model Pre-Training - Kelvin Guu; Kenton Lee; Zora Tung; Panupong Pasupat; Ming-Wei Chang (Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, 2020)

REALM: Retrieval-Augmented Language Model Pre-Training - Kelvin Guu; Kenton Lee; Zora Tung; Panupong Pasupat; Ming-Wei Chang (CoRR, 2020)

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering - Hao Cheng; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (CoRR, 2020)

Open Question Answering over Tables and Text - Wenhu Chen; Ming-Wei Chang; Eva Schlinger; William Yang Wang; William W. Cohen (CoRR, 2020)

Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? - Peter Shaw; Ming-Wei Chang; Panupong Pasupat; Kristina Toutanova (CoRR, 2020)

CapWAP: Captioning with a Purpose - Adam Fisch; Kenton Lee; Ming-Wei Chang; Jonathan H. Clark; Regina Barzilay (CoRR, 2020)

Natural Questions: a Benchmark for Question Answering Research - Tom Kwiatkowski; Jennimaria Palomaki; Olivia Redfield; Michael Collins; Ankur P. Parikh; Chris Alberti; Danielle Epstein; Illia Polosukhin; Jacob Devlin; Kenton Lee; Kristina Toutanova; Llion Jones; et al. (Trans. Assoc. Comput. Linguistics, 2019)

Zero-Shot Entity Linking by Reading Entity Descriptions - Lajanugen Logeswaran; Ming-Wei Chang; Kenton Lee; Kristina Toutanova; Jacob Devlin; Honglak Lee (Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers, 2019)

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation - Bhuwan Dhingra; Manaal Faruqui; Ankur P. Parikh; Ming-Wei Chang; Dipanjan Das; William W. Cohen (Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers, 2019)

Latent Retrieval for Weakly Supervised Open Domain Question Answering - Kenton Lee; Ming-Wei Chang; Kristina Toutanova (Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers, 2019)

BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions - Christopher Clark; Kenton Lee; Ming-Wei Chang; Tom Kwiatkowski; Michael Collins; Kristina Toutanova (Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers), 2019)

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding - Jacob Devlin; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers), 2019)

Language Model Pre-training for Hierarchical Document Representations - Ming-Wei Chang; Kristina Toutanova; Kenton Lee; Jacob Devlin (CoRR, 2019)

BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions - Christopher Clark; Kenton Lee; Ming-Wei Chang; Tom Kwiatkowski; Michael Collins; Kristina Toutanova (CoRR, 2019)

Latent Retrieval for Weakly Supervised Open Domain Question Answering - Kenton Lee; Ming-Wei Chang; Kristina Toutanova (CoRR, 2019)

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation - Bhuwan Dhingra; Manaal Faruqui; Ankur P. Parikh; Ming-Wei Chang; Dipanjan Das; William W. Cohen (CoRR, 2019)

Zero-Shot Entity Linking by Reading Entity Descriptions - Lajanugen Logeswaran; Ming-Wei Chang; Kenton Lee; Kristina Toutanova; Jacob Devlin; Honglak Lee (CoRR, 2019)

Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation - Iulia Turc; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (CoRR, 2019)

A Knowledge-Grounded Neural Conversation Model - Marjan Ghazvininejad; Chris Brockett; Ming-Wei Chang; Bill Dolan; Jianfeng Gao; Wen-tau Yih; Michel Galley (Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations - Dipendra Misra; Ming-Wei Chang; Xiaodong He; Wen-tau Yih (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, 2018)

Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations - Dipendra Misra; Ming-Wei Chang; Xiaodong He; Wen-tau Yih (CoRR, 2018)

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding - Jacob Devlin; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (CoRR, 2018)

Improving Span-based Question Answering Systems with Coarsely Labeled Data - Hao Cheng; Ming-Wei Chang; Kenton Lee; Ankur P. Parikh; Michael Collins; Kristina Toutanova (CoRR, 2018)

Search-based Neural Structured Learning for Sequential Question Answering - Mohit Iyyer; Wen-tau Yih; Ming-Wei Chang (Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 1: Long Papers, 2017)

Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems - Shyam Upadhyay; Ming-Wei Chang (Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, Valencia, Spain, April 3-7, 2017, Volume 1: Long Papers, 2017)

Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision - Haoruo Peng; Ming-Wei Chang; Wen-tau Yih (Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017, 2017)

Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion - Yelong Shen; Po-Sen Huang; Ming-Wei Chang; Jianfeng Gao (Proceedings of the 2nd Workshop on Representation Learning for NLP, Rep4NLP@ACL 2017, Vancouver, Canada, August 3, 2017, 2017)

Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, SPNLP@EMNLP, Copenhagen, Denmark, September 2017 - Kai-Wei Chang; Ming-Wei Chang; Vivek Srikumar; Alexander M. Rush (Association for Computational Linguistics, 2017)

A Knowledge-Grounded Neural Conversation Model - Marjan Ghazvininejad; Chris Brockett; Ming-Wei Chang; Bill Dolan; Jianfeng Gao; Wen-tau Yih; Michel Galley (CoRR, 2017)

The Value of Semantic Parse Labeling for Knowledge Base Question Answering - Wen-tau Yih; Matthew Richardson; Christopher Meek; Ming-Wei Chang; Jina Suh (Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 2: Short Papers, 2016)

From Entity Linking to Question Answering - Recent Progress on Semantic Grounding Tasks - Ming-Wei Chang (Proceedings of the 2nd Workshop on Noisy User-generated Text, NUT@COLING 2016, Osaka, Japan, December 11, 2016, 2016)

Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems - Shyam Upadhyay; Ming-Wei Chang; Kai-Wei Chang; Wen-tau Yih (Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA, November 1-4, 2016, 2016)

Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities - Yi Yang; Ming-Wei Chang; Jacob Eisenstein (Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA, November 1-4, 2016, 2016)

Proceedings of the Workshop on Structured Prediction for NLP@EMNLP 2016, Austin, TX, USA, November 5, 2016 - Kai-Wei Chang; Ming-Wei Chang; Alexander M. Rush; Vivek Srikumar (Association for Computational Linguistics, 2016)

Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems - Shyam Upadhyay; Ming-Wei Chang (CoRR, 2016)

S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking - Yi Yang; Ming-Wei Chang (CoRR, 2016)

Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities - Yi Yang; Ming-Wei Chang; Jacob Eisenstein (CoRR, 2016)

Answering Complicated Question Intents Expressed in Decomposed Question Sequences - Mohit Iyyer; Wen-tau Yih; Ming-Wei Chang (CoRR, 2016)

Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory - Yelong Shen; Po-Sen Huang; Ming-Wei Chang; Jianfeng Gao (CoRR, 2016)

S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking - Yi Yang; Ming-Wei Chang (Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26-31, 2015, Beijing, China, Volume 1: Long Papers, 2015)

Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base - Wen-tau Yih; Ming-Wei Chang; Xiaodong He; Jianfeng Gao (Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26-31, 2015, Beijing, China, Volume 1: Long Papers, 2015)

Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods - Arvind Neelakantan; Ming-Wei Chang (NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31 - June 5, 2015, 2015)

Placer++: Semantic place labels beyond the visit - John Krumm; Dany Rouhana; Ming-Wei Chang (2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015, St. Louis, MO, USA, 23-27 March, 2015, 2015)

Open Domain Question Answering via Semantic Enrichment - Huan Sun; Hao Ma; Wen-tau Yih; Chen-Tse Tsai; Jingjing Liu; Ming-Wei Chang (Proceedings of the 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, May 18-22, 2015, 2015)

Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods - Arvind Neelakantan; Ming-Wei Chang (CoRR, 2015)

IllinoisSL: A JAVA Library for Structured Prediction - Kai-Wei Chang; Shyam Upadhyay; Ming-Wei Chang; Vivek Srikumar; Dan Roth (CoRR, 2015)

ERD'14: Entity Recognition and Disambiguation Challenge - David Carmel; Ming-Wei Chang; Evgeniy Gabrilovich; Bo-June Paul Hsu; Kuansan Wang (SIGIR Forum, 2014)

Entity Linking on Microblogs with Spatial and Temporal Signals - Yuan Fang; Ming-Wei Chang (Trans. Assoc. Comput. Linguistics, 2014)

Wikification and Beyond: The Challenges of Entity and Concept Grounding - Dan Roth; Heng Ji; Ming-Wei Chang; Taylor Cassidy (Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014, June 22-27, 2014, Baltimore, MD, USA, Tutorial Abstracts, 2014)

Virtual keyboard for head mounted display-based wearable devices - Ming-Wei Chang; Tzi-cker Chiueh; Chia-Ming Chang (20th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2014, Hsinchu, Taiwan, December 16-19, 2014, 2014)

E2E: An End-to-End Entity Linking System for Short and Noisy Text - Ming-Wei Chang; Bo-June Paul Hsu; Hao Ma; Ricky Loynd; Kuansan Wang (Proceedings of the the 4th Workshop on Making Sense of Microposts co-located with the 23rd International World Wide Web Conference (WWW 2014), Seoul, Korea, April 7th, 2014, 2014)

Segmentation based stereo matching using color grouping - Hsin-Wei Wang; Ming-Wei Chang; Hong Shiang Lin; Ming Ouhyoung (Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH '14, Vancouver, Canada, August 10-14, 2014, Posters Proceedings, 2014)

Modeling action-level satisfaction for search task satisfaction prediction - Hongning Wang; Yang Song; Ming-Wei Chang; Xiaodong He; Ahmed Hassan Awadallah; Ryen W. White (The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '14, Gold Coast , QLD, Australia - July 06 - 11, 2014, 2014)

ERD'14: entity recognition and disambiguation challenge - David Carmel; Ming-Wei Chang; Evgeniy Gabrilovich; Bo-June Paul Hsu; Kuansan Wang (The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '14, Gold Coast , QLD, Australia - July 06 - 11, 2014, 2014)

ERD'14, Proceedings of the First ACM International Workshop on Entity Recognition & Disambiguation, July 11, 2014, Gold Coast, Queensland, Australia - David Carmel; Ming-Wei Chang; Evgeniy Gabrilovich; Bo-June Paul Hsu; Kuansan Wang (ACM, 2014)

Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction - Ming-Wei Chang; Wen-tau Yih (Trans. Assoc. Comput. Linguistics, 2013)

Question Answering Using Enhanced Lexical Semantic Models - Wen-tau Yih; Ming-Wei Chang; Christopher Meek; Andrzej Pastusiak (Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013, 4-9 August 2013, Sofia, Bulgaria, Volume 1: Long Papers, 2013)

To Link or Not to Link? A Study on End-to-End Tweet Entity Linking - Stephen D. Guo; Ming-Wei Chang; Emre Kiciman (Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 9-14, 2013, Westin Peachtree Plaza Hotel, Atlanta, Georgia, USA, 2013)

Personalized ranking model adaptation for web search - Hongning Wang; Xiaodong He; Ming-Wei Chang; Yang Song; Ryen W. White; Wei Chu (The 36th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR '13, Dublin, Ireland - July 28 - August 01, 2013, 2013)

Learning to extract cross-session search tasks - Hongning Wang; Yang Song; Ming-Wei Chang; Xiaodong He; Ryen W. White; Wei Chu (22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013, 2013)

Structured learning with constrained conditional models - Ming-Wei Chang; Lev-Arie Ratinov; Dan Roth (Mach. Learn., 2012)

Learning shared body plans - Ian Endres; Vivek Srikumar; Ming-Wei Chang; Derek Hoiem (2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, June 16-21, 2012, 2012)

Unified Expectation Maximization - Rajhans Samdani; Ming-Wei Chang; Dan Roth (Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 3-8, 2012, Montréal, Canada, 2012)

Structured prediction with indirect supervision - Ming-Wei Chang (University of Illinois Urbana-Champaign, USA, 2011)

Structured prediction with indirect supervision - Ming-Wei Chang; James Clarke; Dan Goldwasser; Lev-Arie Ratinov; Vivek Srikumar; Dan Roth (2011 Symposium on Machine Learning in Speech and Language Processing, MLSLP 2011, Bellevue, WA, USA, June 27, 2011, 2011)

Novel Approach to Fuzzy-Wavelet ECG Signal Analysis for a Mobile Device - Ching-En Tseng; Ching-Yu Peng; Ming-Wei Chang; Jia-Yush Yen; Chih-Kung Lee; Tse-Shih Huang (J. Medical Syst., 2010)

Modified Frequency-Partitioned Spectrum Estimation for a Wireless Health Advanced Monitoring Bio-Diagnosis System - Ching-En Tseng; Jia-Yush Yen; Ming-Wei Chang; Wei-Chien Chang; Chih-Kung Lee (IEEE Trans. Syst. Man Cybern. Part A, 2010)

Driving Semantic Parsing from the World's Response - James Clarke; Dan Goldwasser; Ming-Wei Chang; Dan Roth (Proceedings of the Fourteenth Conference on Computational Natural Language Learning, CoNLL 2010, Uppsala, Sweden, July 15-16, 2010, 2010)

The Necessity of Combining Adaptation Methods - Ming-Wei Chang; Michael Connor; Dan Roth (Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, EMNLP 2010, 9-11 October 2010, MIT Stata Center, Massachusetts, USA, A meeting of SIGDAT, a Special Interest Group of the ACL, 2010)

Structured Output Learning with Indirect Supervision - Ming-Wei Chang; Vivek Srikumar; Dan Goldwasser; Dan Roth (Proceedings of the 27th International Conference on Machine Learning (ICML-10), June 21-24, 2010, Haifa, Israel, 2010)

Discriminative Learning over Constrained Latent Representations - Ming-Wei Chang; Dan Goldwasser; Dan Roth; Vivek Srikumar (Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 2-4, 2010, Los Angeles, California, USA, 2010)

Implementation and Optimization of DSP Suspend Resume on Dual-Core SOC - Ming-Wei Chang; Shau-Yin Tseng; Homn Lin; Ching-Lung Su (International Conference on Embedded Software and Systems, ICESS '09, Hangzhou, Zhejiang, P. R. China, May 25-27, 2009, 2009)

Unsupervised Constraint Driven Learning For Transliteration Discovery - Ming-Wei Chang; Dan Goldwasser; Dan Roth; Yuancheng Tu (Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31 - June 5, 2009, Boulder, Colorado, USA, 2009)

Relation Alignment for Textual Entailment Recognition - 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; et al. (Proceedings of the Second Text Analysis Conference, TAC 2009, Gaithersburg, Maryland, USA, November 16-17, 2009, 2009)

Importance of Semantic Representation: Dataless Classification - Ming-Wei Chang; Lev-Arie Ratinov; Dan Roth; Vivek Srikumar (Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, AAAI 2008, Chicago, Illinois, USA, July 13-17, 2008, 2008)

Learning and Inference with Constraints - Ming-Wei Chang; Lev-Arie Ratinov; Nicholas Rizzolo; Dan Roth (Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, AAAI 2008, Chicago, Illinois, USA, July 13-17, 2008, 2008)

Personalized Spam Filtering for Gray Mail - Ming-Wei Chang; Scott Yih; Robert McCann (CEAS 2008 - The Fifth Conference on Email and Anti-Spam, 21-22 August 2008, Mountain View, California, USA, 2008)

Partitioned logistic regression for spam filtering - Ming-Wei Chang; Wen-tau Yih; Christopher Meek (Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008, 2008)

Energy-Efficient Real-Time Co-scheduling of Multimedia DSP Jobs - Chien-Wei Chen; Chuan-Yue Yang; Tei-Wei Kuo; Ming-Wei Chang (IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC 2008), 11-13 June 2008, Taichung, Taiwan, 2008)

Modeling and fabrication of a microelectromechanical microwave switch - Ching-Liang Dai; Heng-Ming Hsu; Ming-Chang Tsai; Ming-Ming Hsieh; Ming-Wei Chang (Microelectron. J., 2007)

Simulation and fabrication of HF microelectromechanical bandpass filter - Ching-Liang Dai; Ming-Chao Chiang; Ming-Wei Chang (Microelectron. J., 2007)

Fabrication and characterization of a microelectromechanical tunable capacitor - Ching-Liang Dai; Shih-Chieh Lin; Ming-Wei Chang (Microelectron. J., 2007)

Guiding Semi-Supervision with Constraint-Driven Learning - Ming-Wei Chang; Lev-Arie Ratinov; Dan Roth (ACL 2007, Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics, June 23-30, 2007, Prague, Czech Republic, 2007)

A Pipeline Framework for Dependency Parsing - Ming-Wei Chang; Quang Do; Dan Roth (ACL 2006, 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, Sydney, Australia, 17-21 July 2006, 2006)

A Pipeline Model for Bottom-Up Dependency Parsing - Ming-Wei Chang; Quang Do; Dan Roth (Proceedings of the Tenth Conference on Computational Natural Language Learning, CoNLL 2006, New York City, USA, June 8-9, 2006, 2006)

Leave-One-Out Bounds for Support Vector Regression Model Selection - Ming-Wei Chang; Chih-Jen Lin (Neural Comput., 2005)

Analysis of switching dynamics with competing support vector machines - Ming-Wei Chang; Chih-Jen Lin; Ruby Chiu-Hsing Weng (IEEE Trans. Neural Networks, 2004)

Analysis of Nonstationary Time Series Using Support Vector Machines - Ming-Wei Chang; Chih-Jen Lin; Ruby C. Weng (Pattern Recognition with Support Vector Machines, First International Workshop, SVM 2002, Niagara Falls, Canada, August 10, 2002, Proceedings, 2002)