Comunicació presentada a Empirical Methods in Natural Language Processing and Computational Natural Language Learning, celebrada del 12 al 14 de juliol de 2012, a Jeju Island, Korea.Adjectival modification, particularly by expressions that have been treated as higher-order modifiers in the formal semantics tradition, raises interesting challenges for semantic composition in distributional semantic models. We contrast three types of adjectival modifiers -- intersectively used color terms (as in white towel, clearly first-order), subsectively used color terms (white wine, which have been modeled as both first- and higher-order), and intensional adjectives (former bassist, clearly higher-order) -- and test the ability of different composition ...
This paper concerns how to apply compositional methods to vectors based on grammatical dependency re...
Focusing on the case of deverbal gradable adjectives such as acquainted, we show that the selective ...
A fundamental principle in distributional semantic models is to use similarity in linguistic environ...
Comunicació presentada a Empirical Methods in Natural Language Processing and Computational Natural ...
In this thesis, I study the ability of compositional distributional semantics to model adjective mod...
Distributional semantics has very successfully modeled semantic phenomena at the word level, and rec...
In this study, we use compositional distribu-tional semantic methods to investigate restric-tions in...
We argue that distributional modification is one strategy that language affords for composing propos...
An issue of interest to work in areas ranging from lexical semantics to natural language processing ...
This thesis is about the problem of compositionality in distributional semantics. Distributional sem...
In this position paper we argue that an adequate semantic model must account for language in use, ta...
Formal Semantics and Distributional Semantics are two very influential semantic frameworks in Comput...
Comunicació presentada al 13th International Conference on Computational Semantics (IWCS 2019), cele...
Distributional semantics is an area of corpus linguistics and computational linguistics that seeks t...
This thesis is about the problem of compositionality in distributional semantics. Distributional sem...
This paper concerns how to apply compositional methods to vectors based on grammatical dependency re...
Focusing on the case of deverbal gradable adjectives such as acquainted, we show that the selective ...
A fundamental principle in distributional semantic models is to use similarity in linguistic environ...
Comunicació presentada a Empirical Methods in Natural Language Processing and Computational Natural ...
In this thesis, I study the ability of compositional distributional semantics to model adjective mod...
Distributional semantics has very successfully modeled semantic phenomena at the word level, and rec...
In this study, we use compositional distribu-tional semantic methods to investigate restric-tions in...
We argue that distributional modification is one strategy that language affords for composing propos...
An issue of interest to work in areas ranging from lexical semantics to natural language processing ...
This thesis is about the problem of compositionality in distributional semantics. Distributional sem...
In this position paper we argue that an adequate semantic model must account for language in use, ta...
Formal Semantics and Distributional Semantics are two very influential semantic frameworks in Comput...
Comunicació presentada al 13th International Conference on Computational Semantics (IWCS 2019), cele...
Distributional semantics is an area of corpus linguistics and computational linguistics that seeks t...
This thesis is about the problem of compositionality in distributional semantics. Distributional sem...
This paper concerns how to apply compositional methods to vectors based on grammatical dependency re...
Focusing on the case of deverbal gradable adjectives such as acquainted, we show that the selective ...
A fundamental principle in distributional semantic models is to use similarity in linguistic environ...