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Volumn , Issue , 2016, Pages 128-137

Natural language comprehension with the epireader

Author keywords

[No Author keywords available]

Indexed keywords

CHILDREN'S BOOKS; NATURAL LANGUAGE PROCESSING; NATURAL LANGUAGES; NEURAL MODELING; NEURAL MODELS; RESEARCH GOALS; STATE OF THE ART; TWO-COMPONENT;

EID: 85072826234     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/d16-1013     Document Type: Conference Paper
Times cited : (68)

References (23)
  • 1
    • 85083953689 scopus 로고    scopus 로고
    • Neural machine translation by jointly learning to align and translate
    • Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. ICLR.
    • (2015) ICLR
    • Bahdanau, D.1    Cho, K.2    Bengio, Y.3
  • 6
    • 84971640658 scopus 로고    scopus 로고
    • François Chollet. 2015. keras. https: //github.com/fchollet/keras.
    • (2015) Keras
    • Chollet, F.1
  • 10
    • 85083953290 scopus 로고    scopus 로고
    • The goldilocks principle: Reading children's books with explicit memory representations
    • Felix Hill, Antoine Bordes, Sumit Chopra, and Jason Weston. 2016. The goldilocks principle: Reading children's books with explicit memory representations. ICLR.
    • (2016) ICLR
    • Hill, F.1    Bordes, A.2    Chopra, S.3    Weston, J.4
  • 13
    • 85083951076 scopus 로고    scopus 로고
    • ADaM: A method for stochastic optimization
    • Diederik Kingma and Jimmy Ba. 2015. Adam: A method for stochastic optimization. ICLR.
    • (2015) ICLR
    • Kingma, D.1    Ba, J.2
  • 14
    • 84961289992 scopus 로고    scopus 로고
    • Glove: Global vectors for word representation
    • Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014. GloVe: Global vectors for word representation. Proc. EMNLP, 12.
    • (2014) Proc. EMNLP , vol.12
    • Pennington, J.1    Socher, R.2    Manning, C.D.3
  • 15
    • 84926345282 scopus 로고    scopus 로고
    • MCTest: A challenge dataset for the open-domain machine comprehension of text
    • Matthew Richardson, Christopher JC Burges, and Erin Renshaw. 2013. Mctest: A challenge dataset for the open-domain machine comprehension of text. In EMNLP, volume 1, page 2.
    • (2013) EMNLP , vol.1 , pp. 2
    • Richardson, M.1    Burges, C.J.C.2    Renshaw, E.3
  • 20
    • 84994156970 scopus 로고    scopus 로고
    • Learning natural language inference with lstm
    • Shuohang Wang and Jing Jiang. 2016. Learning natural language inference with lstm. NAACL.
    • (2016) NAACL
    • Wang, S.1    Jiang, J.2
  • 21
    • 84862275042 scopus 로고    scopus 로고
    • Structured prediction cascades
    • David J Weiss and Benjamin Taskar. 2010. Structured prediction cascades. In AIS-TATS, pages 916-923.
    • (2010) AIS-TATS , pp. 916-923
    • Weiss, D.J.1    Taskar, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.