WordNet: a lexical database for English
Communications of the ACM
Introduction to the special issue on summarization
Computational Linguistics - Summarization
Computational Linguistics - Summarization
Discourse Segmentation in Aid of Document Summarization
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 3 - Volume 3
Topic segmentation: algorithms and applications
Topic segmentation: algorithms and applications
Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
TextNet – A text-based intelligent system
Natural Language Engineering
Measuring the semantic similarity of texts
EMSEE '05 Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment
Lexical cohesion based topic modeling for summarization
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
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The paper proposes a new method of linear text segmentation based on lexical cohesion of a text. Namely, first a single chain of disambiguated words in a text is established, then the rips of this single chain are considered as boundaries for the segments of the cohesion text structure (Cohesion TextTiling or CTT). The summaries of arbitrarily length are obtained by extraction using three different methods applied to the obtained segments. The informativeness of the obtained summaries is compared with the informativeness of the pair summaries of the same length obtained using an earlier method of logical segmentation by text entailment (Logical TextTiling or LTT). Some experiments about CTT and LTT methods are carried out for four "classical" texts in summarization literature showing that the quality of the summarization using cohesion segmentation (CTT) is better than the quality using logical segmentation (LTT).