This paper studies the problem of identifying comparative sentences in text documents. The problem is related to but quite different from sentiment/opinion sentence identification...
This paper presents two methods which automatically produce annotated corpora for text summarisation on the basis of human abstracts. Both methods identify a set of sentences from ...
Multidocument extractive summarization relies on the concept of sentence centrality to identify the most important sentences in a document. Centrality is typically defined in term...
Abstract--Statistical approaches to document content modeling typically focus either on broad topics or on discourselevel subtopics of a text. We present an analysis of the perform...
Leonhard Hennig, Thomas Strecker, Sascha Narr, Ern...
Abstract. In this paper, we describe a new unsupervised sentence boundary detection system and present a comparative study evaluating its performance against different systems foun...
Jan Strunk, Carlos Nascimento Silla Jr., Celso A. ...