Explorations in sentence fusion

Explorations in sentence fusion (2005)

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by Erwin Marsi , Emiel Krahmer

Venue:	In Proceedings of the 10th European Workshop on Natural Language Generation
Citations:	16 - 1 self

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Datum	Value	Source
TITLE	Explorations in sentence fusion	INFERENCE
AUTHOR NAME	Erwin Marsi	SVM HeaderParse 0.2
AUTHOR AFFIL	Communication and Cognition; Faculty of Arts, Tilburg University	SVM HeaderParse 0.2
AUTHOR ADDR	P.O.Box 90153, NL-5000 LE Tilburg, The Netherlands	SVM HeaderParse 0.2
AUTHOR NAME	Emiel Krahmer	SVM HeaderParse 0.2
AUTHOR AFFIL	Communication and Cognition; Faculty of Arts, Tilburg University	SVM HeaderParse 0.2
AUTHOR ADDR	P.O.Box 90153, NL-5000 LE Tilburg, The Netherlands	SVM HeaderParse 0.2
ABSTRACT	Sentence fusion is a text-to-text (revision-like) generation task which takes related sentences as input and merges these into a single output sentence. In this paper we describe our ongoing work on developing a sentence fusion module for Dutch. We propose a generalized version of alignment which not only indicates which words and phrases should be aligned but also labels these in terms of a small set of primitive semantic relations, indicating how words and phrases from the two input sentences relate to each other. It is shown that human labelers can perform this task with a high agreement (Fscore of.95). We then describe and evaluate our adaptation of an existing automatic alignment algorithm, and use the resulting alignments, plus the semantic labels, in a generalized fusion and generation algorithm. A small-scale evaluation study reveals that most of the resulting sentences are adequate to good. 1	SVM HeaderParse 0.2
YEAR	2005	INFERENCE
VENUE	In Proceedings of the 10th European Workshop on Natural Language Generation	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	109--117	INFERENCE
CITATIONS	21 found	ParsCit 1.0