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2020 – today
- 2024
[c69]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:
Instruct-Imagen: Image Generation with Multi-modal Instruction. CVPR 2024: 4754-4763- [c68]Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao, Wenhu Chen, Yu Su, Ming-Wei Chang:
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions. ICML 2024 - [i44]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:
Instruct-Imagen: Image Generation with Multi-modal Instruction. CoRR abs/2401.01952 (2024) - [i43]Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao, Wenhu Chen, Yu Su, Ming-Wei Chang:
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions. CoRR abs/2403.19651 (2024) - [i42]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, Gustavo Hernández Ábrego, Weiqiang Shi, Nithi Gupta, Aditya Kusupati, Prateek Jain, Siddhartha Reddy Jonnalagadda, Ming-Wei Chang, Iftekhar Naim:
Gecko: Versatile Text Embeddings Distilled from Large Language Models. CoRR abs/2403.20327 (2024) - [i41]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, Panupong Pasupat, Aida Amini, Jeremy R. Cole, Sebastian Riedel, Iftekhar Naim, Ming-Wei Chang, Kelvin Guu:
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? CoRR abs/2406.13121 (2024) - [i40]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, Yilin Gao, Evgeny Gladchenko, Sergio Gómez Colmenarejo, Mandy Guo, Alex Haig, Will Hawkins, Hexiang Hu, Huilian Huang, Tobenna Peter Igwe, Christos Kaplanis, Siavash Khodadadeh, Yelin Kim, Ksenia Konyushkova, Karol Langner, Eric Lau, Shixin Luo, Sona Mokrá, Henna Nandwani, Yasumasa Onoe, Aäron van den Oord, Zarana Parekh, Jordi Pont-Tuset, Hang Qi, Rui Qian, Deepak Ramachandran, Poorva Rane, Abdullah Rashwan, Ali Razavi, Robert Riachi, Hansa Srinivasan, Srivatsan Srinivasan, Robin Strudel, Benigno Uria, Oliver Wang, Su Wang, Austin Waters, Chris Wolff, Auriel Wright, Zhisheng Xiao, Hao Xiong, Keyang Xu, Marc van Zee, Junlin Zhang, Katie Zhang, Wenlei Zhou, Konrad Zolna, Ola Aboubakar, Canfer Akbulut, Oscar Akerlund, Isabela Albuquerque, Nina Anderson, Marco Andreetto, Lora Aroyo, Ben Bariach, David Barker, Sherry Ben, Dana Berman, Courtney Biles, Irina Blok, Pankil Botadra, Jenny Brennan, Karla Brown, John Buckley, Rudy Bunel, Elie Bursztein, Christina Butterfield, Ben Caine, Viral Carpenter, Norman Casagrande, Ming-Wei Chang, Solomon Chang, Shamik Chaudhuri, Tony Chen, John Choi, Dmitry Churbanau, Nathan Clement, Matan Cohen, Forrester Cole, Mikhail Dektiarev, Vincent Du, Praneet Dutta, Tom Eccles, Ndidi Elue, Ashley Feden, Shlomi Fruchter, Frankie Garcia, Roopal Garg:
Imagen 3. CoRR abs/2408.07009 (2024) - [i39]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:
KITTEN: A Knowledge-Intensive Evaluation of Image Generation on Visual Entities. CoRR abs/2410.11824 (2024) - 2023
- [c67]Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. ACL (1) 2023: 14032-14047 - [c66]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 - [c65]Hexiang Hu
, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang:
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. ICCV 2023: 12031-12041 - [c64]Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang:
Promptagator: Few-shot Dense Retrieval From 8 Examples. ICLR 2023 - [c63]Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova:
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. ICML 2023: 18893-18912 - [c62]Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen:
Subject-driven Text-to-Image Generation via Apprenticeship Learning. NeurIPS 2023 - [c61]Jinhyuk Lee, Zhuyun Dai, Sai Meher Karthik Duddu, Tao Lei, Iftekhar Naim, Ming-Wei Chang, Vincent Zhao:
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval. NeurIPS 2023 - [c60]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:
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. NeurIPS 2023 - [i38]Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang:
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. CoRR abs/2302.11154 (2023) - [i37]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) - [i36]Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen:
Subject-driven Text-to-Image Generation via Apprenticeship Learning. CoRR abs/2304.00186 (2023) - [i35]Jinhyuk Lee, Zhuyun Dai, Sai Meher Karthik Duddu, Tao Lei, Iftekhar Naim, Ming-Wei Chang, Vincent Y. Zhao:
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval. CoRR abs/2304.01982 (2023) - [i34]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:
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. CoRR abs/2304.04947 (2023) - [i33]Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. CoRR abs/2305.11694 (2023) - 2022
- [c59]Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, Ming-Wei Chang:
ASQA: Factoid Questions Meet Long-Form Answers. EMNLP 2022: 8273-8288 - [c58]Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi:
Meta-Learning Fast Weight Language Models. EMNLP 2022: 9751-9757 - [c57]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:
Large Dual Encoders Are Generalizable Retrievers. EMNLP 2022: 9844-9855 - [c56]Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang:
FRUIT: Faithfully Reflecting Updated Information in Text. NAACL-HLT 2022: 3670-3686 - [i32]Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, Ming-Wei Chang:
ASQA: Factoid Questions Meet Long-Form Answers. CoRR abs/2204.06092 (2022) - [i31]Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang:
Promptagator: Few-shot Dense Retrieval From 8 Examples. CoRR abs/2209.11755 (2022) - [i30]Kenton Lee, Mandar Joshi, Iulia Turc, Hexiang Hu, Fangyu Liu, Julian Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova:
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. CoRR abs/2210.03347 (2022) - [i29]Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi:
Meta-Learning Fast Weight Language Models. CoRR abs/2212.02475 (2022) - 2021
- [c55]Peter Shaw, Ming-Wei Chang, Panupong Pasupat, Kristina Toutanova:
Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? ACL/IJCNLP (1) 2021: 922-938 - [c54]Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi:
Joint Passage Ranking for Diverse Multi-Answer Retrieval. EMNLP (1) 2021: 6997-7008 - [c53]Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen:
Open Question Answering over Tables and Text. ICLR 2021 - [i28]Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang:
Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations. CoRR abs/2104.07478 (2021) - [i27]Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi:
Joint Passage Ranking for Diverse Multi-Answer Retrieval. CoRR abs/2104.08445 (2021) - [i26]Iulia Turc, Kenton Lee, Jacob Eisenstein, Ming-Wei Chang, Kristina Toutanova:
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer. CoRR abs/2106.16171 (2021) - [i25]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:
Large Dual Encoders Are Generalizable Retrievers. CoRR abs/2112.07899 (2021) - [i24]Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang:
FRUIT: Faithfully Reflecting Updated Information in Text. CoRR abs/2112.08634 (2021) - 2020
- [c52]Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering. ACL 2020: 5657-5667 - [c51]Alane Suhr, Ming-Wei Chang, Peter Shaw, Kenton Lee:
Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing. ACL 2020: 8372-8388 - [c50]Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay:
CapWAP: Image Captioning with a Purpose. EMNLP (1) 2020: 8755-8768 - [c49]Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang:
Retrieval Augmented Language Model Pre-Training. ICML 2020: 3929-3938 - [i23]Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang:
REALM: Retrieval-Augmented Language Model Pre-Training. CoRR abs/2002.08909 (2020) - [i22]Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering. CoRR abs/2005.01898 (2020) - [i21]Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen:
Open Question Answering over Tables and Text. CoRR abs/2010.10439 (2020) - [i20]Peter Shaw, Ming-Wei Chang, Panupong Pasupat, Kristina Toutanova:
Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? CoRR abs/2010.12725 (2020) - [i19]Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay:
CapWAP: Captioning with a Purpose. CoRR abs/2011.04264 (2020)
2010 – 2019
- 2019
- [j12]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, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, Slav Petrov:
Natural Questions: a Benchmark for Question Answering Research. Trans. Assoc. Comput. Linguistics 7: 452-466 (2019) - [c48]Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee:
Zero-Shot Entity Linking by Reading Entity Descriptions. ACL (1) 2019: 3449-3460 - [c47]Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen:
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. ACL (1) 2019: 4884-4895 - [c46]Kenton Lee, Ming-Wei Chang, Kristina Toutanova:
Latent Retrieval for Weakly Supervised Open Domain Question Answering. ACL (1) 2019: 6086-6096 - [c45]Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova:
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. NAACL-HLT (1) 2019: 2924-2936 - [c44]Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. NAACL-HLT (1) 2019: 4171-4186 - [i18]Ming-Wei Chang, Kristina Toutanova, Kenton Lee, Jacob Devlin:
Language Model Pre-training for Hierarchical Document Representations. CoRR abs/1901.09128 (2019) - [i17]Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova:
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. CoRR abs/1905.10044 (2019) - [i16]Kenton Lee, Ming-Wei Chang, Kristina Toutanova:
Latent Retrieval for Weakly Supervised Open Domain Question Answering. CoRR abs/1906.00300 (2019) - [i15]Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen:
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. CoRR abs/1906.01081 (2019) - [i14]Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee:
Zero-Shot Entity Linking by Reading Entity Descriptions. CoRR abs/1906.07348 (2019) - [i13]Iulia Turc, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation. CoRR abs/1908.08962 (2019) - 2018
- [c43]Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley:
A Knowledge-Grounded Neural Conversation Model. AAAI 2018: 5110-5117 - [c42]Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih:
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. EMNLP 2018: 2442-2452 - [i12]Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih:
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. CoRR abs/1809.01299 (2018) - [i11]Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. CoRR abs/1810.04805 (2018) - [i10]Hao Cheng, Ming-Wei Chang, Kenton Lee, Ankur P. Parikh, Michael Collins, Kristina Toutanova:
Improving Span-based Question Answering Systems with Coarsely Labeled Data. CoRR abs/1811.02076 (2018) - 2017
- [c41]Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang:
Search-based Neural Structured Learning for Sequential Question Answering. ACL (1) 2017: 1821-1831 - [c40]Shyam Upadhyay, Ming-Wei Chang:
Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems. EACL (1) 2017: 494-504 - [c39]Haoruo Peng, Ming-Wei Chang, Wen-tau Yih:
Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision. EMNLP 2017: 2368-2378 - [c38]Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao:
Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion. Rep4NLP@ACL 2017: 57-68 - [e3]Kai-Wei Chang, Ming-Wei Chang, Vivek Srikumar, Alexander M. Rush:
Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, SPNLP@EMNLP, Copenhagen, Denmark, September 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-93-7 [contents] - [i9]Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley:
A Knowledge-Grounded Neural Conversation Model. CoRR abs/1702.01932 (2017) - 2016
- [c37]Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh:
The Value of Semantic Parse Labeling for Knowledge Base Question Answering. ACL (2) 2016 - [c36]Ming-Wei Chang:
From Entity Linking to Question Answering - Recent Progress on Semantic Grounding Tasks. NUT@COLING 2016: 2 - [c35]Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang, Wen-tau Yih:
Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems. EMNLP 2016: 297-306 - [c34]Yi Yang, Ming-Wei Chang, Jacob Eisenstein:
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities. EMNLP 2016: 1452-1461 - [e2]Kai-Wei Chang, Ming-Wei Chang, Alexander M. Rush, Vivek Srikumar:
Proceedings of the Workshop on Structured Prediction for NLP@EMNLP 2016, Austin, TX, USA, November 5, 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-29-6 [contents] - [i8]Shyam Upadhyay, Ming-Wei Chang:
Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems. CoRR abs/1609.07197 (2016) - [i7]Yi Yang, Ming-Wei Chang:
S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking. CoRR abs/1609.08075 (2016) - [i6]Yi Yang, Ming-Wei Chang, Jacob Eisenstein:
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities. CoRR abs/1609.08084 (2016) - [i5]Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang:
Answering Complicated Question Intents Expressed in Decomposed Question Sequences. CoRR abs/1611.01242 (2016) - [i4]Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao:
Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory. CoRR abs/1611.04642 (2016) - 2015
- [c33]Yi Yang, Ming-Wei Chang:
S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking. ACL (1) 2015: 504-513 - [c32]Wen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao:
Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base. ACL (1) 2015: 1321-1331 - [c31]Arvind Neelakantan, Ming-Wei Chang:
Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods. HLT-NAACL 2015: 515-525 - [c30]John Krumm, Dany Rouhana, Ming-Wei Chang:
Placer++: Semantic place labels beyond the visit. PerCom 2015: 11-19 - [c29]Huan Sun, Hao Ma, Wen-tau Yih, Chen-Tse Tsai, Jingjing Liu, Ming-Wei Chang:
Open Domain Question Answering via Semantic Enrichment. WWW 2015: 1045-1055 - [i3]Arvind Neelakantan, Ming-Wei Chang:
Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods. CoRR abs/1504.06658 (2015) - [i2]Kai-Wei Chang, Shyam Upadhyay, Ming-Wei Chang, Vivek Srikumar, Dan Roth:
IllinoisSL: A JAVA Library for Structured Prediction. CoRR abs/1509.07179 (2015) - 2014
- [j11]David Carmel, Ming-Wei Chang, Evgeniy Gabrilovich, Bo-June Paul Hsu, Kuansan Wang:
ERD'14: Entity Recognition and Disambiguation Challenge. SIGIR Forum 48(2): 63-77 (2014) - [j10]Yuan Fang, Ming-Wei Chang:
Entity Linking on Microblogs with Spatial and Temporal Signals. Trans. Assoc. Comput. Linguistics 2: 259-272 (2014) - [c28]Dan Roth, Heng Ji, Ming-Wei Chang, Taylor Cassidy:
Wikification and Beyond: The Challenges of Entity and Concept Grounding. ACL (Tutorial Abstracts) 2014: 7 - [c27]Ming-Wei Chang, Tzi-cker Chiueh, Chia-Ming Chang:
Virtual keyboard for head mounted display-based wearable devices. ICPADS 2014: 225-232 - [c26]Ming-Wei Chang, Bo-June Paul Hsu, Hao Ma, Ricky Loynd, Kuansan Wang:
E2E: An End-to-End Entity Linking System for Short and Noisy Text. #MSM 2014: 62-63 - [c25]Hsin-Wei Wang, Ming-Wei Chang, Hong Shiang Lin, Ming Ouhyoung:
Segmentation based stereo matching using color grouping. SIGGRAPH Posters 2014: 73:1 - [c24]Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ahmed Hassan Awadallah, Ryen W. White:
Modeling action-level satisfaction for search task satisfaction prediction. SIGIR 2014: 123-132 - [c23]David Carmel, Ming-Wei Chang, Evgeniy Gabrilovich, Bo-June Paul Hsu, Kuansan Wang:
ERD'14: entity recognition and disambiguation challenge. SIGIR 2014: 1292 - [e1]David Carmel, Ming-Wei Chang, Evgeniy Gabrilovich, Bo-June Paul Hsu, Kuansan Wang:
ERD'14, Proceedings of the First ACM International Workshop on Entity Recognition & Disambiguation, July 11, 2014, Gold Coast, Queensland, Australia. ACM 2014, ISBN 978-1-4503-3023-7 [contents] - 2013
- [j9]Ming-Wei Chang, Wen-tau Yih:
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction. Trans. Assoc. Comput. Linguistics 1: 207-218 (2013) - [c22]Wen-tau Yih, Ming-Wei Chang, Christopher Meek, Andrzej Pastusiak:
Question Answering Using Enhanced Lexical Semantic Models. ACL (1) 2013: 1744-1753 - [c21]Stephen D. Guo, Ming-Wei Chang, Emre Kiciman:
To Link or Not to Link? A Study on End-to-End Tweet Entity Linking. HLT-NAACL 2013: 1020-1030 - [c20]Hongning Wang, Xiaodong He, Ming-Wei Chang, Yang Song, Ryen W. White, Wei Chu:
Personalized ranking model adaptation for web search. SIGIR 2013: 323-332 - [c19]Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ryen W. White, Wei Chu:
Learning to extract cross-session search tasks. WWW 2013: 1353-1364 - 2012
- [j8]Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth:
Structured learning with constrained conditional models. Mach. Learn. 88(3): 399-431 (2012) - [c18]Ian Endres, Vivek Srikumar, Ming-Wei Chang, Derek Hoiem:
Learning shared body plans. CVPR 2012: 3130-3137 - [c17]Rajhans Samdani, Ming-Wei Chang, Dan Roth:
Unified Expectation Maximization. HLT-NAACL 2012: 688-698 - 2011
- [b1]Ming-Wei Chang:
Structured prediction with indirect supervision. University of Illinois Urbana-Champaign, USA, 2011 - [c16]Ming-Wei Chang, James Clarke, Dan Goldwasser, Lev-Arie Ratinov, Vivek Srikumar, Dan Roth:
Structured prediction with indirect supervision. MLSLP 2011 - 2010
- [j7]Ching-En Tseng, Ching-Yu Peng, Ming-Wei Chang, Jia-Yush Yen, Chih-Kung Lee, Tse-Shih Huang:
Novel Approach to Fuzzy-Wavelet ECG Signal Analysis for a Mobile Device. J. Medical Syst. 34(1): 71-81 (2010) - [j6]Ching-En Tseng, Jia-Yush Yen, Ming-Wei Chang, Wei-Chien Chang, Chih-Kung Lee:
Modified Frequency-Partitioned Spectrum Estimation for a Wireless Health Advanced Monitoring Bio-Diagnosis System. IEEE Trans. Syst. Man Cybern. Part A 40(3): 611-622 (2010) - [c15]James Clarke, Dan Goldwasser, Ming-Wei Chang, Dan Roth:
Driving Semantic Parsing from the World's Response. CoNLL 2010: 18-27 - [c14]Ming-Wei Chang, Michael Connor, Dan Roth:
The Necessity of Combining Adaptation Methods. EMNLP 2010: 767-777 - [c13]Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth:
Structured Output Learning with Indirect Supervision. ICML 2010: 199-206 - [c12]Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Srikumar:
Discriminative Learning over Constrained Latent Representations. HLT-NAACL 2010: 429-437
2000 – 2009
- 2009
- [c11]Ming-Wei Chang, Shau-Yin Tseng, Homn Lin, Ching-Lung Su:
Implementation and Optimization of DSP Suspend Resume on Dual-Core SOC. ICESS 2009: 185-190 - [c10]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
- [c9]Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth, Vivek Srikumar:
Importance of Semantic Representation: Dataless Classification. AAAI 2008: 830-835 - [c8]Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo, Dan Roth:
Learning and Inference with Constraints. AAAI 2008: 1513-1518 - [c7]Ming-Wei Chang, Scott Yih, Robert McCann:
Personalized Spam Filtering for Gray Mail. CEAS 2008 - [c6]Ming-Wei Chang, Wen-tau Yih, Christopher Meek:
Partitioned logistic regression for spam filtering. KDD 2008: 97-105 - [c5]Chien-Wei Chen, Chuan-Yue Yang, Tei-Wei Kuo, Ming-Wei Chang:
Energy-Efficient Real-Time Co-scheduling of Multimedia DSP Jobs. SUTC 2008: 225-232 - 2007
- [j5]Ching-Liang Dai, Heng-Ming Hsu, Ming-Chang Tsai, Ming-Ming Hsieh, Ming-Wei Chang:
Modeling and fabrication of a microelectromechanical microwave switch. Microelectron. J. 38(4-5): 519-524 (2007) - [j4]Ching-Liang Dai, Ming-Chao Chiang, Ming-Wei Chang:
Simulation and fabrication of HF microelectromechanical bandpass filter. Microelectron. J. 38(8-9): 828-833 (2007) - [j3]Ching-Liang Dai, Shih-Chieh Lin, Ming-Wei Chang:
Fabrication and characterization of a microelectromechanical tunable capacitor. Microelectron. J. 38(12): 1257-1262 (2007) - [c4]Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth:
Guiding Semi-Supervision with Constraint-Driven Learning. ACL 2007 - 2006
- [c3]Ming-Wei Chang, Quang Do, Dan Roth:
A Pipeline Framework for Dependency Parsing. ACL 2006 - [c2]Ming-Wei Chang, Quang Do, Dan Roth:
A Pipeline Model for Bottom-Up Dependency Parsing. CoNLL 2006: 186-190 - 2005
- [j2]Ming-Wei Chang, Chih-Jen Lin:
Leave-One-Out Bounds for Support Vector Regression Model Selection. Neural Comput. 17(5): 1188-1222 (2005) - 2004
- [j1]Ming-Wei Chang, Chih-Jen Lin, Ruby Chiu-Hsing Weng:
Analysis of switching dynamics with competing support vector machines. IEEE Trans. Neural Networks 15(3): 720-727 (2004) - 2002
- [c1]Ming-Wei Chang, Chih-Jen Lin, Ruby C. Weng:
Analysis of Nonstationary Time Series Using Support Vector Machines. SVM 2002: 160-170
Coauthor Index
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