Improving Vietnamese Sentence Compression by Segmenting Meaning Chunks
| Autor: | Van-Giau Ung, Minh-Quoc Nghiem, Ngan Luu-Thuy Nguyen, An-Vinh Luong, Nhi-Thao Tran |
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| Rok vydání: | 2015 |
| Předmět: |
Sentence compression
Computer science business.industry Speech recognition Vietnamese computer.software_genre Sequence labeling language.human_language Market segmentation Compression (functional analysis) Feature (machine learning) language Meaning (existential) Artificial intelligence business computer Natural language processing |
| Zdroj: | KSE |
| DOI: | 10.1109/kse.2015.74 |
| Popis: | This paper proposes an approach for sentence compression that only requires the part-of-speech information. The method is based on an observation of the human compression: adjacent words which form a meaning chunk usually are removed or retained together. We incorporate meaning chunk as a feature for a CRF-based sequence labeling system. Experimental results on English and Vietnamese compression datasets show that the proposed approach achieved better performance than the state-of-the-art systems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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