合 作 者
期刊 & 会议
年  份
Ziheng Lin 的论文(14) 排序方式:
A PDTB-styled end-to-end discourse parser  
Natural Language Engineering  2014
0次引用 0 0
Exploiting Discourse Analysis for Article-Wide Temporal Classification  
Empirical Methods in Natural Language Processing  2013
0次引用 0 0
Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation  
Meeting of the Association for Computational Linguistics  2012
0次引用 0 0
Exploiting Category-Specific Information for Multi-Document Summarization  
We show that by making use of information common to document sets belonging to a common category, we can improve the quality of automatically extracted content in multi-document summaries. This simple......
International Conference on Computational Linguistics  2012
0次引用 0 0
Product Review Summarization based on Facet Identification and Sentence Clustering  
Abstract: Product review nowadays has become an important source of information, not only for customers to find opinions about products easily and share their reviews with peers, but also for product ......
Computing Research Repository  2011
0次引用 0 0
Automatically Evaluating Text Coherence Using Discourse Relations  
Meeting of the Association for Computational Linguistics  2011
0次引用 0 0
Product review summarization from a deeper perspective  
With product reviews growing in depth and becoming more numerous, it is growing challenge to acquire a comprehensive understanding of their contents, for both customers and product manufacturers. We b......
ACM/IEEE Joint Conference on Digital Libraries  2011
0次引用 0 0
Tuning Machine-Learning Algorithms for Battery-Operated Portable Devices  
Abstract. Machine learning algorithms in various forms are now increasingly being used on a variety of portable devices, starting from cell phones to PDAs. They often form a part of standard applicati......
Asia Information Retrieval Symposium  2010
0次引用 0 0
A PDTB-Styled End-to-End Discourse Parser  
We have developed a full discourse parser in the Penn Discourse Treebank (PDTB) style. Our trained parser first identifies all discourse and non-discourse relations, locates and labels their arguments......
Computing Research Repository  2010
1次引用 0 0
Recognizing Implicit Discourse Relations in the Penn Discourse Treebank  
We present an implicit discourse relation classifier in the Penn Discourse Treebank (PDTB). Our classifier considers the context of the two arguments, word pair information, as well as the arguments ’......
Empirical Methods in Natural Language Processing  2009
11次引用 0 0

1/2 第一页 上一页 1 2 下一页
Feedback
Feedback
Feedback
我想反馈:
排行榜