This paper proposes a new indicator of text structure, called the lexical cohesion profile (LCP), which locates segment boundaries in a text. A text segment is a coherent scene; the words in a segment a~e linked together via lexical cohesion relations. LCP records mutual similarity of words in a sequence of text. The similarity of words, which represents their cohesiveness, is computed using a semantic network. Comparison with the text segments marked by a number of subjects shows that LCP closely correlates with the human judgments. LCP may provide valuable information for resolving anaphora and ellipsis.
For instance, REF proposes to calculate a lexical cohesion profile which locates segment boundaries in a text.
Text Segmentation Based On Similarity Between Words
Annual Meeting Of The Association For Computational Linguistics
Computer Science