Fan Zhang


2017

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A Corpus of Annotated Revisions for Studying Argumentative Writing
Fan Zhang | Homa B. Hashemi | Rebecca Hwa | Diane Litman
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

This paper presents ArgRewrite, a corpus of between-draft revisions of argumentative essays. Drafts are manually aligned at the sentence level, and the writer’s purpose for each revision is annotated with categories analogous to those used in argument mining and discourse analysis. The corpus should enable advanced research in writing comparison and revision analysis, as demonstrated via our own studies of student revision behavior and of automatic revision purpose prediction.

2016

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Using Context to Predict the Purpose of Argumentative Writing Revisions
Fan Zhang | Diane Litman
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

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ArgRewrite: A Web-based Revision Assistant for Argumentative Writings
Fan Zhang | Rebecca Hwa | Diane Litman | Homa B. Hashemi
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations

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Inferring Discourse Relations from PDTB-style Discourse Labels for Argumentative Revision Classification
Fan Zhang | Diane Litman | Katherine Forbes Riley
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers

Penn Discourse Treebank (PDTB)-style annotation focuses on labeling local discourse relations between text spans and typically ignores larger discourse contexts. In this paper we propose two approaches to infer discourse relations in a paragraph-level context from annotated PDTB labels. We investigate the utility of inferring such discourse information using the task of revision classification. Experimental results demonstrate that the inferred information can significantly improve classification performance compared to baselines, not only when PDTB annotation comes from humans but also from automatic parsers.

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Extracting PDTB Discourse Relations from Student Essays
Kate Forbes-Riley | Fan Zhang | Diane Litman
Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue

2015

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Annotation and Classification of Argumentative Writing Revisions
Fan Zhang | Diane Litman
Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications

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Annotation and Classification of an Email Importance Corpus
Fan Zhang | Kui Xu
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

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Peking: Building Semantic Dependency Graphs with a Hybrid Parser
Yantao Du | Fan Zhang | Xun Zhang | Weiwei Sun | Xiaojun Wan
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

2014

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Peking: Profiling Syntactic Tree Parsing Techniques for Semantic Graph Parsing
Yantao Du | Fan Zhang | Weiwei Sun | Xiaojun Wan
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)

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Sentence-level Rewriting Detection
Fan Zhang | Diane Litman
Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications

2013

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WordTopic-MultiRank: A New Method for Automatic Keyphrase Extraction
Fan Zhang | Lian’en Huang | Bo Peng
Proceedings of the Sixth International Joint Conference on Natural Language Processing

2012

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SentTopic-MultiRank: a Novel Ranking Model for Multi-Document Summarization
Wenpeng Yin | Yulong Pei | Fan Zhang | Lian’en Huang
Proceedings of COLING 2012

2011

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Nonlinear Evidence Fusion and Propagation for Hyponymy Relation Mining
Fan Zhang | Shuming Shi | Jing Liu | Shuqi Sun | Chin-Yew Lin
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies