Yang Jin


2016

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A Preliminary Study of Disputation Behavior in Online Debating Forum
Zhongyu Wei | Yandi Xia | Chen Li | Yang Liu | Zachary Stallbohm | Yi Li | Yang Jin
Proceedings of the Third Workshop on Argument Mining (ArgMining2016)

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Using Relevant Public Posts to Enhance News Article Summarization
Chen Li | Zhongyu Wei | Yang Liu | Yang Jin | Fei Huang
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers

A news article summary usually consists of 2-3 key sentences that reflect the gist of that news article. In this paper we explore using public posts following a new article to improve automatic summary generation for the news article. We propose different approaches to incorporate information from public posts, including using frequency information from the posts to re-estimate bigram weights in the ILP-based summarization model and to re-weight a dependency tree edge’s importance for sentence compression, directly selecting sentences from posts as the final summary, and finally a strategy to combine the summarization results generated from news articles and posts. Our experiments on data collected from Facebook show that relevant public posts provide useful information and can be effectively leveraged to improve news article summarization results.

2006

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Human Gene Name Normalization using Text Matching with Automatically Extracted Synonym Dictionaries
Haw-ren Fang | Kevin Murphy | Yang Jin | Jessica Kim | Peter White
Proceedings of the HLT-NAACL BioNLP Workshop on Linking Natural Language and Biology

2005

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Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE
Ryan McDonald | Fernando Pereira | Seth Kulick | Scott Winters | Yang Jin | Pete White
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05)