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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
A Hybrid Topic Model for Multi-Document Summarization
| Title: | A Hybrid Topic Model for Multi-Document Summarization |
| Authors: | Xu, JinAn Browse this author | | Liu, JiangMing Browse this author | | Araki, Kenji Browse this author →KAKEN DB |
| Keywords: | multi-document summarization | | hybrid topic model | | hidden topic Markov model (HTMM) | | surface texture model | | topic transition model |
| Issue Date: | May-2015 |
| Publisher: | The Institute of Electronics, Information and Communication Engineers (IEICE) |
| Journal Title: | IEICE transactions on information and systems |
| Volume: | E98D |
| Issue: | 5 |
| Start Page: | 1089 |
| End Page: | 1094 |
| Publisher DOI: | 10.1587/transinf.2014EDP7229 |
| Abstract: | Topic features are useful in improving text summarization. However, independency among topics is a strong restriction on most topic models, and alleviating this restriction can deeply capture text structure. This paper proposes a hybrid topic model to generate multi-document summaries using a combination of the Hidden Topic Markov Model (HTMM), the surface texture model and the topic transition model. Based on the topic transition model, regular topic transition probability is used during generating summary. This approach eliminates the topic independence assumption in the Latent Dirichlet Allocation (LDA) model. Meanwhile, the results of experiments show the advantage of the combination of the three kinds of models. This paper includes alleviating topic independency, and integrating surface texture and shallow semantic in documents to improve summarization. In short, this paper attempts to realize an advanced summarization system. |
| Rights: | Copyright ©2015 The Institute of Electronics, Information and Communication Engineers |
| Type: | article |
| URI: | http://hdl.handle.net/2115/59626 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 荒木 健治
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