Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/597479
Title: Summarizing Meeting Transcripts Based on Functional Segmentation
Authors: Mohammad Hadi Bokaei;Hossein Sameti;Yang Liu
subject: functional segmentation|multiparty conversation|Extractive summarization
Year: 2016
Publisher: IEEE
Abstract: In this paper, we aim to improve meeting summarization performance using discourse specific information. Since there are intrinsically different characteristics in utterances in different types of function segments, e.g., Monologue segments versus Discussion ones, we propose a new summarization framework where different summarizers are used for different segment types. For monologue segments, we adopt the integer linear programming-based summarization method; whereas for discussion segments, we use a graph-based method to incorporate speaker information. Performance of our proposed method is evaluated using the standard AMI meeting corpus. Results show a good improvement over previous state-of-the-art algorithms according to various evaluation metrics and different compress ratios.
URI: http://localhost/handle/Hannan/185293
http://localhost/handle/Hannan/597479
ISSN: 2329-9290
2329-9304
volume: 24
issue: 10
Appears in Collections:2016

Files in This Item:
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Title: Summarizing Meeting Transcripts Based on Functional Segmentation
Authors: Mohammad Hadi Bokaei;Hossein Sameti;Yang Liu
subject: functional segmentation|multiparty conversation|Extractive summarization
Year: 2016
Publisher: IEEE
Abstract: In this paper, we aim to improve meeting summarization performance using discourse specific information. Since there are intrinsically different characteristics in utterances in different types of function segments, e.g., Monologue segments versus Discussion ones, we propose a new summarization framework where different summarizers are used for different segment types. For monologue segments, we adopt the integer linear programming-based summarization method; whereas for discussion segments, we use a graph-based method to incorporate speaker information. Performance of our proposed method is evaluated using the standard AMI meeting corpus. Results show a good improvement over previous state-of-the-art algorithms according to various evaluation metrics and different compress ratios.
URI: http://localhost/handle/Hannan/185293
http://localhost/handle/Hannan/597479
ISSN: 2329-9290
2329-9304
volume: 24
issue: 10
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7501601.pdf865.73 kBAdobe PDFThumbnail
Preview File
Title: Summarizing Meeting Transcripts Based on Functional Segmentation
Authors: Mohammad Hadi Bokaei;Hossein Sameti;Yang Liu
subject: functional segmentation|multiparty conversation|Extractive summarization
Year: 2016
Publisher: IEEE
Abstract: In this paper, we aim to improve meeting summarization performance using discourse specific information. Since there are intrinsically different characteristics in utterances in different types of function segments, e.g., Monologue segments versus Discussion ones, we propose a new summarization framework where different summarizers are used for different segment types. For monologue segments, we adopt the integer linear programming-based summarization method; whereas for discussion segments, we use a graph-based method to incorporate speaker information. Performance of our proposed method is evaluated using the standard AMI meeting corpus. Results show a good improvement over previous state-of-the-art algorithms according to various evaluation metrics and different compress ratios.
URI: http://localhost/handle/Hannan/185293
http://localhost/handle/Hannan/597479
ISSN: 2329-9290
2329-9304
volume: 24
issue: 10
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7501601.pdf865.73 kBAdobe PDFThumbnail
Preview File