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Volumn 2035, Issue , 2001, Pages 114-123

Semantic expectation-based causation knowledge extraction: A study on Hong Kong stock movement analysis

Author keywords

Expectation based information extraction; Knowledge extraction; Semantic based natural language processing

Indexed keywords

BEHAVIORAL RESEARCH; COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

EID: 84942874264     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-45357-1_15     Document Type: Conference Paper
Times cited : (18)

References (7)
  • 2
    • 0023828314 scopus 로고
    • Conceptual information extraction from financial news
    • Decision Support and Knowledge Based Systems Track, Proceedings of the Twenty-First Annual Hawaii International Conference, 1988 Pg
    • Rau, L.F., Conceptual information extraction from financial news. System Sciences, 1988. Vol.III. Decision Support and Knowledge Based Systems Track, Proceedings of the Twenty-First Annual Hawaii International Conference, 1988 Pg. 501-509.
    • (1988) System Sciences , vol.3 , pp. 501-509
    • Rau, L.F.1
  • 3
    • 0030703921 scopus 로고    scopus 로고
    • Natural language processing and information extraction: Qualitative analysis of financial news articles
    • Proceedings of the IEEE/IAFE 1997, 1997 Pg
    • Costantino, M.; Morgan, R.G.; Collingham, R.J.; Carigliano, R., Natural language processing and information extraction: Qualitative analysis of financial news articles . Computational Intelligence for Financial Engineering (CIFEr), 1997., Proceedings of the IEEE/IAFE 1997, 1997 Pg. 116-122.
    • (1997) Computational Intelligence for Financial Engineering (CIFEr) , pp. 116-122
    • Costantino, M.1    Morgan, R.G.2    Collingham, R.J.3    Carigliano, R.4
  • 6
    • 84949959612 scopus 로고    scopus 로고
    • English nouns, verbs, adjectives and adverbs are organized into synonym sets, each representing one underlying lexical concept. Different relations link the synonym sets. WordNet was developed by the Cognitive Science Laboratory at Princeton University under the direction of Professor George A. Miller (Principal Investigator
    • WORDNET is an on-line lexical reference system whose design is inspired by current psycholinguistic theories of human lexical memory. English nouns, verbs, adjectives and adverbs are organized into synonym sets, each representing one underlying lexical concept. Different relations link the synonym sets. WordNet was developed by the Cognitive Science Laboratory at Princeton University under the direction of Professor George A. Miller (Principal Investigator). http://www.cogsci.princeton.edu/~wn/
    • WORDNET is an On-Line Lexical Reference System whose Design is Inspired by Current Psycholinguistic Theories of Human Lexical Memory


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.