Existing Information Extraction systems tend to focus on a tight window of context surrounding the desired information to be extracted. This leads to a number of shortcomings in t...
This paper presents a methodology for learning taxonomic relations from a set of documents that each explain one of the concepts. Three different feature extraction approaches with...
In this paper, we propose a practical approach for extracting the most relevant paragraphs from the original document to form a summary for Thai text. The idea of our approach is ...
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...
Opinion mining received well attention in finding personal opinions from user generated content. These opinions contain valuable information for improving and/or comparing the prod...
Dong (Haoyuan) Li, Anne Laurent, Mathieu Roche, Pa...