We present a cut and paste based text summarizer, which uses operations derived from an analhuman written abstracts. The summarizer edits extracted sentences, using reduction to r...
Text classification categories Web documents in large collections into predefined classes based on their contents. Unfortunately, the classification process can be time-consumi...
We argue that in general, the analysis of lexical cohesion factors in a document can drive a summarizer, as well as enable other content characterization tasks. More narrowly, thi...
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...
In this poster, we propose a novel document summarization approach named Ontology-enriched M ulti-Document Summarization(OMS) for utilizing background knowledge to improve summari...