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ACL
2007
14 years 12 days ago
Computing Lexical Chains with Graph Clustering
This paper describes a new method for computing lexical chains. These are sequences of semantically related words that reflect a text’s cohesive structure. In contrast to previo...
Olena Medelyan
ANLP
1997
96views more  ANLP 1997»
14 years 9 days ago
Identifying Topics by Position
This paper addresses the problem of identifying likely topics of texts by their position in the text. It describes the automated training and evaluation of an Optimal Position Pol...
Chin-Yew Lin, Eduard H. Hovy
WWW
2007
ACM
14 years 11 months ago
Ontology summarization based on rdf sentence graph
Ontology summarization is very important to quick understanding and selection of ontologies. In this paper, we study extractive summarization of ontology. We propose a notion of R...
Xiang Zhang, Gong Cheng, Yuzhong Qu
INTERSPEECH
2010
13 years 5 months ago
Extractive summarization using a latent variable model
Extractive multi-document summarization is the task of choosing sentences from a set of documents to compose a summary text in response to a user query. We propose a generative ap...
Asli Çelikyilmaz, Dilek Hakkani-Tür
SIGIR
1995
ACM
14 years 2 months ago
A Trainable Document Summarizer
To summarize is to reducein complexity, and hencein length, while retaining some of the essential qualities of the original. This paper focusses on document extracts, a particular...
Julian Kupiec, Jan O. Pedersen, Francine Chen