Liang Zhou


2015

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Using Topic Modeling and Similarity Thresholds to Detect Events
Nathan Keane | Connie Yee | Liang Zhou
Proceedings of the The 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation

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Modeling and Characterizing Social Media Topics Using the Gamma Distribution
Connie Yee | Nathan Keane | Liang Zhou
Proceedings of the The 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation

2014

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Improving Twitter Sentiment Analysis with Topic-Based Mixture Modeling and Semi-Supervised Training
Bing Xiang | Liang Zhou
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

2007

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A Semi-Automatic Evaluation Scheme: Automated Nuggetization for Manual Annotation
Liang Zhou | Namhee Kwon | Eduard Hovy
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers

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Text Comparison Using Machine-Generated Nuggets
Liang Zhou
Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT)

2006

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Automated Summarization Evaluation with Basic Elements.
Eduard Hovy | Chin-Yew Lin | Liang Zhou | Junichi Fukumoto
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

As part of evaluating a summary automati-cally, it is usual to determine how much of the contents of one or more human-produced “ideal” summaries it contains. Past automated methods such as ROUGE compare using fixed word ngrams, which are not ideal for a variety of reasons. In this paper we describe a framework in which summary evaluation measures can be instantiated and compared, and we implement a specific evaluation method using very small units of content, called Basic Elements that address some of the shortcomings of ngrams. This method is tested on DUC 2003, 2004, and 2005 systems and produces very good correlations with human judgments.

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Summarizing Answers for Complicated Questions
Liang Zhou | Chin-Yew Lin | Eduard Hovy
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

Recent work in several computational linguistics (CL) applications (especially question answering) has shown the value of semantics (in fact, many people argue that the current performance ceiling experienced by so many CL applications derives from their inability to perform any kind of semantic processing). But the absence of a large semantic information repository that provides representations for sentences prevents the training of statistical CL engines and thus hampers the development of such semantics-enabled applications. This talk refers to recent work in several projects that seek to annotate large volumes of text with shallower or deeper representations of some semantic phenomena. It describes one of the essential problems—creating, managing, and annotating (at large scale) the meanings of words, and outlines the Omega ontology, being built at ISI, that acts as term repository. The talk illustrates how one can proceed from words via senses to concepts, and how the annotation process can help verify good concept decisions and expose bad ones. Much of this work is performed in the context of the OntoNotes project, joint with BBN, the Universities of Colorado and Pennsylvania, and ISI, that is working to build a corpus of about 1M words (English, Chinese, and Arabic), annotated for shallow semantics, over the next few years.

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Re-evaluating Machine Translation Results with Paraphrase Support
Liang Zhou | Chin-Yew Lin | Eduard Hovy
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing

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Proceedings of the Analyzing Conversations in Text and Speech
Eduard Hovy | Klaus Zechner | Liang Zhou
Proceedings of the Analyzing Conversations in Text and Speech

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ParaEval: Using Paraphrases to Evaluate Summaries Automatically
Liang Zhou | Chin-Yew Lin | Dragos Stefan Munteanu | Eduard Hovy
Proceedings of the Human Language Technology Conference of the NAACL, Main Conference

2005

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Classummary: Introducing Discussion Summarization to Online Classrooms
Liang Zhou | Erin Shaw | Chin-Yew Lin | Eduard Hovy
Proceedings of HLT/EMNLP 2005 Interactive Demonstrations

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Digesting Virtual “Geek” Culture: The Summarization of Technical Internet Relay Chats
Liang Zhou | Eduard Hovy
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05)

2004

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Template-Filtered Headline Summarization
Liang Zhou | Eduard Hovy
Text Summarization Branches Out

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Multi-Document Biography Summarization
Liang Zhou | Miruna Ticrea | Eduard Hovy
Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing

2003

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A Web-Trained Extraction Summarization System
Liang Zhou | Eduard Hovy
Proceedings of the 2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics