TAILIEUCHUNG - Báo cáo khoa học: "Generic NLP Technologies: Language, Knowledge and Information Extraction"

We have witnessed signi cant progress in NLP applications such as information extraction IE , summarization, machine translation, cross-lingual information retrieval CLIR , etc. The progress will be accelerated by advances in speech technology, which not only enables us to interact with systems via speech but also to store and retrieve texts input via speech. The progress of NLP applications in this decade has been mainly accomplished by the rapid development of corpus-based and statistical techniques, while rather simple techniques have been used as far as the structural aspects of language are concerned. In this paper, we will discuss how we. | Generic NLP Technologies Language Knowledge and Information Extraction Junichi Tsujii Department of Information Science Faculty of Science University of Tokyo JAPAN And Centre for Computational Linguistics I MIST. UK 1 Introduction We have witnessed significant progress in NLP applications such as information extraction IE summarization machine translation cross-lingual information retrieval CLIR etc. The progress will be accelerated by advances in speech technology which not only enables US to interact with systems via speech but also to store and retrieve texts input via speech. The progress of NLP applications in this decade has been mainly accomplished by the rapid development of corpus-based and statistical techniques -while rather simple techniques have been used as far as the structural aspects of language are concerned. In this paper we -will discuss how -we can combine more sophisticated linguistically elaborate techniques -with the current statistical techniques and -what kinds of improvement -we can expect from such an integration of different knowledge types and methods. 2 Argument against linguistically elaborate techniques Throughout the 80s research based on linguistics had flourished even in application oriented NLP research such as machine translation. Eurotra a European MT project had attracted a large number of theoretical linguists into MT and the linguists developed clean and linguistically elaborate frameworks such as CTA-2 Simple Transfer Eurotra-6 etc. ATR a Japanese research institute for telephone dialogue translation supported by a consortium of private companies and the Ministry of Post and Communication also adopted a linguistics-based frame-work although they changed their direction in the later stage of the project. They also adopted sophisticated plan-based dialogue models as well at the initial stage of the project. However the trend changed rather drastically in the early 90s and most research groups -with practical applications in

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