246 citations · 398 across the 7 of their papers we have counts for
5 papers · 1 filter
Neural Multi-Task Learning for Citation Function and Provenance
Xuan Su, Animesh Prasad, Min-Yen Kan +1
Citation function and provenance are two cornerstone tasks in citation analysis. Given a citation, the former task determines its rhetorical role, while the latter locates the text…
Abstractive Meeting Summarization UsingDependency Graph Fusion
Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
Automatic summarization techniques on meeting conversations developed so far have been primarily extractive, resulting in poor summaries. To improve this, we propose an approach to…
Multi-document abstractive summarization using ILP based multi-sentence compression
Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
Abstractive summarization is an ideal form of summarization since it can synthesize information from multiple documents to create concise informative summaries. In this work, we ai…
Generating Abstractive Summaries from Meeting Transcripts
Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
Summaries of meetings are very important as they convey the essential content of discussions in a concise form. Generally, it is time consuming to read and understand the whole doc…
Product Review Summarization based on Facet Identification and Sentence Clustering
Duy Khang Ly, Kazunari Sugiyama, Ziheng Lin +1
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 fo…