Detail publikace
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
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.
Dokumenty
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"
}