Detail publikačního výsledku

Combining Heterogeneous Models for Measuring Relational Similarity

ZHILA, A.; YIH, W.; MEEK, C.; MIKOLOV, T.; ZWEIG, G.

Originální název

Combining Heterogeneous Models for Measuring Relational Similarity

Anglický název

Combining Heterogeneous Models for Measuring Relational Similarity

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

In this paper, we presented a system that combinesheterogeneous models based on different informationsources for measuring relational similarity.

Anglický abstrakt

In this paper, we presented a system that combinesheterogeneous models based on different informationsources for measuring relational similarity.

Klíčová slova

language modeling, heterogeneous models, recurrent neural networks

Klíčová slova v angličtině

language modeling, heterogeneous models, recurrent neural networks

Autoři

ZHILA, A.; YIH, W.; MEEK, C.; MIKOLOV, T.; ZWEIG, G.

Rok RIV

2014

Vydáno

09.06.2013

Nakladatel

Association for Computational Linguistics

Místo

Atlanata, Georgia

ISBN

978-1-937284-47-3

Kniha

Proceedings of NAACL-HLT 2013

Strany od

1000

Strany do

1009

Strany počet

10

URL

http://www.aclweb.org/anthology/N/N13/N13-1120.pdf

BibTex

@inproceedings{BUT105978,
  author="Alisa {Zhila} and Wen-tau {Yih} and Christopher {Meek} and Tomáš {Mikolov} and Geoffrey {Zweig}",
  title="Combining Heterogeneous Models for Measuring Relational Similarity",
  booktitle="Proceedings of NAACL-HLT 2013",
  year="2013",
  pages="1000--1009",
  publisher="Association for Computational Linguistics",
  address="Atlanata, Georgia",
  isbn="978-1-937284-47-3",
  url="http://www.aclweb.org/anthology/N/N13/N13-1120.pdf"
}