Crosslingual and Multilingual Construction of Syntax-Based Vector Space Models
Syntax-based distributional models of lexical semantics provide a flexible and linguistically adequate representation of co-occurrence information. However, their construction requires large, accurately parsed corpora, which are unavailable for most languages. In this paper, we develop a number of m...
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| Vydáno v: | Transactions of the Association for Computational Linguistics Ročník 2; s. 245 - 258 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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One Rogers Street, Cambridge, MA 02142-1209, USA
MIT Press
01.03.2021
MIT Press Journals, The The MIT Press |
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| ISSN: | 2307-387X, 2307-387X |
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| Abstract | Syntax-based distributional models of lexical semantics provide a flexible and
linguistically adequate representation of co-occurrence information. However,
their construction requires large, accurately parsed corpora, which are
unavailable for most languages.
In this paper, we develop a number of methods to overcome this obstacle. We
describe (a) a
approach that
constructs a syntax-based model for a new language requiring only an English
resource and a translation lexicon; and (b)
approaches that combine crosslingual with monolingual
information, subject to availability. We evaluate on two lexical semantic
benchmarks in German and Croatian. We find that the models exhibit complementary
profiles: crosslingual models yield higher accuracies while monolingual models
provide better coverage. In addition, we show that simple multilingual models
can successfully combine their strengths. |
|---|---|
| AbstractList | Syntax-based distributional models of lexical semantics provide a flexible and
linguistically adequate representation of co-occurrence information. However,
their construction requires large, accurately parsed corpora, which are
unavailable for most languages.
In this paper, we develop a number of methods to overcome this obstacle. We
describe (a) a
approach that
constructs a syntax-based model for a new language requiring only an English
resource and a translation lexicon; and (b)
approaches that combine crosslingual with monolingual
information, subject to availability. We evaluate on two lexical semantic
benchmarks in German and Croatian. We find that the models exhibit complementary
profiles: crosslingual models yield higher accuracies while monolingual models
provide better coverage. In addition, we show that simple multilingual models
can successfully combine their strengths. Syntax-based distributional models of lexical semantics provide a flexible and linguistically adequate representation of co-occurrence information. However, their construction requires large, accurately parsed corpora, which are unavailable for most languages.In this paper, we develop a number of methods to overcome this obstacle. We describe (a) a crosslingual approach that constructs a syntax-based model for a new language requiring only an English resource and a translation lexicon; and (b) multilingual approaches that combine crosslingual with monolingual information, subject to availability. We evaluate on two lexical semantic benchmarks in German and Croatian. We find that the models exhibit complementary profiles: crosslingual models yield higher accuracies while monolingual models provide better coverage. In addition, we show that simple multilingual models can successfully combine their strengths. Syntax-based distributional models of lexical semantics provide a flexible and linguistically adequate representation of co-occurrence information. However, their construction requires large, accurately parsed corpora, which are unavailable for most languages. In this paper, we develop a number of methods to overcome this obstacle. We describe (a) a crosslingual approach that constructs a syntax-based model for a new language requiring only an English resource and a translation lexicon; and (b) multilingual approaches that combine crosslingual with monolingual information, subject to availability. We evaluate on two lexical semantic benchmarks in German and Croatian. We find that the models exhibit complementary profiles: crosslingual models yield higher accuracies while monolingual models provide better coverage. In addition, we show that simple multilingual models can successfully combine their strengths. |
| Author | Padó, Sebastian Utt, Jason |
| Author_xml | – sequence: 1 givenname: Jason surname: Utt fullname: Utt, Jason email: uttjn@ims.uni-stuttgart.de organization: Institut für Maschinelle Sprachverarbeitung, Universität Stuttgart, uttjn@ims.uni-stuttgart.de – sequence: 2 givenname: Sebastian surname: Padó fullname: Padó, Sebastian organization: Institut für Maschinelle Sprachverarbeitung, Universität Stuttgart, pado@ims.uni-stuttgart.de |
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| Cites_doi | 10.1080/00437956.1954.11659520 10.1162/coli.2006.32.3.379 10.1613/jair.2820 10.1162/coli.2006.32.2.159 10.1017/S1351324905003840 10.1145/2050100.2050102 10.1037/0033-295X.104.2.211 10.1080/01690969108406936 10.1162/089120102760275983 10.1162/coli_a_00017 10.1007/s10579-009-9081-4 |
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| References | p_39 Miller George A. (p_28) 1991; 6 Harris Zelig S. (p_15) 1954; 10 p_45 p_13 Hwa Rebecca (p_17) 2005; 11 Landauer Thomas K (p_22) 1997; 104 Baroni Marco (p_3) 2008; 43 Naseem Tahira (p_30) 2009; 36 Joanis Eric (p_18) 2006; 14 Peirsman Yves (p_35) 2011; 8 Baroni Marco (p_2) 2010; 36 p_11 |
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linguistically adequate representation of co-occurrence information. However,... Syntax-based distributional models of lexical semantics provide a flexible and linguistically adequate representation of co-occurrence information. However,... |
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| SubjectTerms | Benchmarks Comorbidity Computational linguistics English language German language Languages Lexical semantics Model accuracy Monolingualism Semantics Serbo-Croatian language Syntactic structures Syntax Vector spaces |
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| Title | Crosslingual and Multilingual Construction of Syntax-Based Vector Space Models |
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