Output details

Text segmentation of spoken meeting transcripts

<22> Text segmentation has played an important role in information retrieval as well as natural language processing. Current segmentation methods are well suited for written and structured texts, making use of their distinctive macro-level structures. However, text segmentation of transcribed multi-party conversation presents a different challenge given its ill-formed sentences and the lack of macro-level text units. This paper describes an algorithm suitable for segmenting spoken meeting transcripts, combining semantically complex lexical relations with speech cue phrases to help decision makers and project managers to reduce rework.