• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 39 matches

• 2023
• 
  Haw-Shiuan Chang, Ruei-Yao Sun, Kathryn Ricci, Andrew McCallum:
  Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling. ACL (1) 2023: 821-854
• 
  Haw-Shiuan Chang, Zonghai Yao, Alolika Gon, Hong Yu, Andrew McCallum:
  Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond. ACL (Findings) 2023: 12707-12730
• 
  Haw-Shiuan Chang, Zonghai Yao, Alolika Gon, Hong Yu, Andrew McCallum:
  Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond. CoRR abs/2305.12289 (2023)
• 
  Ronald Seoh, Haw-Shiuan Chang, Andrew McCallum:
  Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS Tokens. CoRR abs/2309.04333 (2023)
• 
  Haw-Shiuan Chang, Nikhil Agarwal, Andrew McCallum:
  To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders. CoRR abs/2310.14079 (2023)
• 2022
• 
  Haw-Shiuan Chang, Andrew McCallum:
  Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions. ACL (1) 2022: 8048-8073
• 
  Kathryn Ricci, Haw-Shiuan Chang, Purujit Goyal, Andrew McCallum:
  Unsupervised Partial Sentence Matching for Cited Text Identification. SDP@COLING 2022: 95-104
• 
  Hyeonsu B. Kang, Sheshera Mysore, Kevin Huang, Haw-Shiuan Chang, Thorben Prein, Andrew McCallum, Aniket Kittur, Elsa Olivetti:
  Augmenting Scientific Creativity with Retrieval across Knowledge Domains. CoRR abs/2206.01328 (2022)
• 
  Haw-Shiuan Chang, Ruei-Yao Sun, Kathryn Ricci, Andrew McCallum:
  Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling. CoRR abs/2210.05043 (2022)
• 2021
• 
  Haw-Shiuan Chang, Amol Agrawal, Andrew McCallum:
  Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications. AAAI 2021: 6956-6965
• 
  Haw-Shiuan Chang, Jiaming Yuan, Mohit Iyyer, Andrew McCallum:
  Changing the Mind of Transformers for Topically-Controllable Language Generation. EACL 2021: 2601-2611
• 
  Rohan Paul, Haw-Shiuan Chang, Andrew McCallum:
  Multi-facet Universal Schema. EACL 2021: 909-919
• 
  Ronald Seoh, Ian Birle, Mrinal Tak, Haw-Shiuan Chang, Brian Pinette, Alfred Hough:
  Open Aspect Target Sentiment Classification with Natural Language Prompts. EMNLP (1) 2021: 6311-6322
• 
  Haw-Shiuan Chang, Amol Agrawal, Andrew McCallum:
  Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications. CoRR abs/2103.15330 (2021)
• 
  Haw-Shiuan Chang, Jiaming Yuan, Mohit Iyyer, Andrew McCallum:
  Changing the Mind of Transformers for Topically-Controllable Language Generation. CoRR abs/2103.15335 (2021)
• 
  Rohan Paul, Haw-Shiuan Chang, Andrew McCallum:
  Multi-facet Universal Schema. CoRR abs/2103.15339 (2021)
• 
  Ronald Seoh, Ian Birle, Mrinal Tak, Haw-Shiuan Chang, Brian Pinette, Alfred Hough:
  Open Aspect Target Sentiment Classification with Natural Language Prompts. CoRR abs/2109.03685 (2021)
• 2020
• 
  Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti:
  Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. J. Chem. Inf. Model. 60(3): 1194-1201 (2020)
• 
  Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum:
  Using error decay prediction to overcome practical issues of deep active learning for named entity recognition. Mach. Learn. 109(9-10): 1749-1778 (2020)
• 
  Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
  AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD 2020: 2724-2734
• 
  Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
  AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR abs/2006.13473 (2020)
• 2019
• 
  Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti:
  The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. LAW@ACL 2019: 56-64
• 
  Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti:
  Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. CoRR abs/1901.00032 (2019)
• 
  Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti:
  The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. CoRR abs/1905.06939 (2019)
• 
  Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum:
  Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition. CoRR abs/1911.07335 (2019)
• 2018
• 
  Haw-Shiuan Chang, Chih-Fan Hsu, Tobias Hoßfeld, Kuan-Ta Chen:
  Active Learning for Crowdsourced QoE Modeling. IEEE Trans. Multim. 20(12): 3337-3352 (2018)
• 
  Haw-Shiuan Chang, ZiYun Wang, Luke Vilnis, Andrew McCallum:
  Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection. NAACL-HLT 2018: 485-495
• 
  Haw-Shiuan Chang, Amol Agrawal, Ananya Ganesh, Anirudha Desai, Vinayak Mathur, Alfred Hough, Andrew McCallum:
  Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings. TextGraphs@NAACL-HLT 2018: 38-48
• 
  Haw-Shiuan Chang, Amol Agrawal, Ananya Ganesh, Anirudha Desai, Vinayak Mathur, Alfred Hough, Andrew McCallum:
  Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings. CoRR abs/1804.03257 (2018)
• 2017
• 
  Haw-Shiuan Chang, Erik G. Learned-Miller, Andrew McCallum:
  Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples. NIPS 2017: 1002-1012

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