Discriminative sentence compression with conditional random fields : Text summarization
- Author
- NOMOTO, Tadashi1
[1] National Institute of Japanese Literature, 1-16-10 Yutaka, Shinagawa, Tokyo 142-8585, Japan - Source
Information processing & management. 2007, Vol 43, Num 6, pp 1571-1587, 17 p ; ref : 1/2 p
- CODEN
- IPMADK
- ISSN
- 0306-4573
- Scientific domain
- Information and communication sciences; Documentation; Computer science
- Publisher
- Elsevier Science, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Conditional random fields Machine learning Natural language syntax RSS Sentence compression Sequence alignment
- Keyword (fr)
- Modèle probabiliste Phrase Probabilité conditionnelle Traitement du langage naturel Apprentissage automatique Conditional random fields Linguistique informatique
- Keyword (en)
- Probabilistic model Sentence Conditional probability Natural language processing Machine learning
- Keyword (es)
- Modelo probabilista Frase Probabilidad condicional Tratamiento del lenguaje natural
- Classification
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A01 Information science. Documentation / 001A01E Information processing and retrieval / 001A01E02 Information and document structure and analysis / 001A01E02C Content analysis
- Francis
- 790 Information and communication sciences / 790-F Information processing and retrieval / 790-F02 Information and document structure and analysis / 790-F02C Content analysis
- Discipline
- Sciences of information and communication
- Origin
- Inist-CNRS
- Database
- FRANCIS ; PASCAL
- INIST identifier
- 19075741
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.ipm.2007.01.025 
https://dx.doi.org/10.1016/j.ipm.2007.01.025
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