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Volumn SS-15-03, Issue , 2015, Pages 31-34

Compositional vector space models for knowledge base inference

Author keywords

[No Author keywords available]

Indexed keywords

EMBEDDINGS; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE REPRESENTATION; SEMANTICS; VECTORS;

EID: 84987623391     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (60)

References (22)
  • 1
    • 80053232678 scopus 로고    scopus 로고
    • Nouns are vectors, adjectives are matrices: Representing adjective-noun constructions in semantic space
    • Baroni, M. and Zamparelli, R. 2010. Nouns are vectors, adjectives are matrices: Representing adjective-noun constructions in semantic space. In Empirical Methods in Natural Language Processing.
    • (2010) Empirical Methods in Natural Language Processing
    • Baroni, M.1    Zamparelli, R.2
  • 11
    • 84926224568 scopus 로고    scopus 로고
    • Distant supervision for relation extraction with an incomplete knowledge base
    • Min, B.; Grishman, R.; Wan, L.; Wang. C: and Gondek, D. 2013. Distant supervision for relation extraction with an incomplete knowledge base. In HLT-NAACL. 777-782.
    • (2013) HLT-NAACL , pp. 777-782
    • Min, B.1    Grishman, R.2    Wan, L.3    Wang, C.4    Gondek, D.5
  • 15
    • 84926180274 scopus 로고    scopus 로고
    • Relation extraction with matrix factorization and universal schemas
    • Riedel, S.: Yao. L.: McCallum. A.: and Marlin. B. M. 201 3. Relation extraction with matrix factorization and universal schemas. In HLT-NAACL.
    • (2013) HLT-NAACL
    • Riedel, S.1    Yao, L.2    McCallum, A.3    Marlin, B.M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.