Add to ORKGIn this paper we compare the performance of three dis-tinct approaches to lexical cohesion based text segmen-tation. Most work in this area has focused on the dis-covery of textual units that discuss subtopic structure within documents. In contrast our segmentation task requires the discovery of topical units of text i.e. dis-tinct news stories from broadcast news programmes. Our approach to news story segmentation (the Se-LeCT system) is based on an analysis of lexical cohe-sive strength between textual units using a linguistic technique called lexical chaining. We evaluate the rela-tive performance of SeLeCT with respect to two other cohesion based segmenters: TextTiling and C99. Using a recently introduced evaluation metric WindowDiff, w...
Topic segmentation classically relies on one of two criteria, either finding areas with co-herent vo...
International audienceTopic segmentation classically relies on one of two criteria, either finding a...
International audienceTopic segmentation classically relies on one of two criteria, either finding a...
In this paper we compare the performance of three distinct approaches to lexical cohesion based text...
In this paper we compare the performance of three distinct approaches to lexical cohesion based text...
In this paper we compare the performance of three distinct approaches to lexical cohesion based text...
In this paper we compare the performance of three distinct approaches to lexical cohesion based text...
In this paper we compare the performance of three distinct approaches to lexical cohesion based text...
We propose a maximum lexical cohesion (MLC) approach to news story segmentation. Unlike sentence-dep...
In this paper we propose a course-grained NLP approach to text segmentation based on the analysis o...
In this paper we propose a course-grained NLP approach to text segmentation based on the\ud analysis...
In this paper we propose a course-grained NLP approach to text segmentation based on the analysis o...
In this paper we propose a course-grained NLP approach to text segmentation based on the analysis o...
In this paper we describe an extractive method of creating very short summaries or gists that captur...
In this paper we describe an extractive method of creating very short summaries or gists that captur...
Topic segmentation classically relies on one of two criteria, either finding areas with co-herent vo...
International audienceTopic segmentation classically relies on one of two criteria, either finding a...
International audienceTopic segmentation classically relies on one of two criteria, either finding a...
In this paper we compare the performance of three distinct approaches to lexical cohesion based text...
In this paper we compare the performance of three distinct approaches to lexical cohesion based text...
In this paper we compare the performance of three distinct approaches to lexical cohesion based text...
In this paper we compare the performance of three distinct approaches to lexical cohesion based text...
In this paper we compare the performance of three distinct approaches to lexical cohesion based text...
We propose a maximum lexical cohesion (MLC) approach to news story segmentation. Unlike sentence-dep...
In this paper we propose a course-grained NLP approach to text segmentation based on the analysis o...
In this paper we propose a course-grained NLP approach to text segmentation based on the\ud analysis...
In this paper we propose a course-grained NLP approach to text segmentation based on the analysis o...
In this paper we propose a course-grained NLP approach to text segmentation based on the analysis o...
In this paper we describe an extractive method of creating very short summaries or gists that captur...
In this paper we describe an extractive method of creating very short summaries or gists that captur...
Topic segmentation classically relies on one of two criteria, either finding areas with co-herent vo...
International audienceTopic segmentation classically relies on one of two criteria, either finding a...
International audienceTopic segmentation classically relies on one of two criteria, either finding a...