Detail publikace

Combining Heterogeneous Models for Measuring Relational Similarity

Originální název

Combining Heterogeneous Models for Measuring Relational Similarity

Anglický název

Combining Heterogeneous Models for Measuring Relational Similarity

Jazyk

en

Originální abstrakt

In this paper, we presented a system that combines heterogeneous models based on different information sources for measuring relational similarity.

Anglický abstrakt

In this paper, we presented a system that combines heterogeneous models based on different information sources for measuring relational similarity.

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",
  annote="In this paper, we presented a system that combines heterogeneous models based on
different information sources for measuring relational similarity.",
  address="Association for Computational Linguistics",
  booktitle="Proceedings of NAACL-HLT 2013",
  chapter="105978",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Association for Computational Linguistics",
  year="2013",
  month="june",
  pages="1000--1009",
  publisher="Association for Computational Linguistics",
  type="conference paper"
}