Distributional Semantics
Separating Disambiguation from Composition in Distributional Semantics
... compositional- distributional semantics, it is safe to assume that a phrase similarity task avoids many of the pitfalls of tasks such as the one of Section ...
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A Vector Space for Distributional Semantics for Entailment
... Distributional semantics creates vector- space representations that capture many forms of semantic similarity, but their re- lation to semantic entailment has been less ...a distributional ...
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Predictability of Distributional Semantics in Derivational Word Formation
... of distributional semantics, or CDSMs (Mitchell and Lapata, 2010; Erk and Pad´o, 2008; Baroni et ...computational semantics. Building on traditional distributional semantic models for ...
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Entailment above the word level in distributional semantics
... Distributional semantics (DS) approximates lin- guistic meaning with vectors summarizing the contexts where expressions ...lexical semantics has validated the hy- pothesis that semantically similar ...
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Semantic transparency: challenges for distributional semantics
... Vecchi et al. (2011) use distributional semantics to characterise semantic deviance in ANs. Unat- tested ANs were rated by two of the authors using a 3-point scale (deviant, intermediate or acceptable), ...
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Linear Compositional Distributional Semantics and Structural Kernels
... In this paper, we want to start the analysis of the models for compositional distributional semantics with respect to the similarity measure. We focus on linear CDS models. We believe that this sim- ple ...
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Computing Semantic Compositionality in Distributional Semantics
... of Distributional Semantics and supervised Machine ...brief, distributional semantic spaces containing representations for complex constructions such as Adjective-Noun and Verb-Noun pairs, as well as ...
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Derivational Smoothing for Syntactic Distributional Semantics
... Distributional semantics (Turney and Pantel, 2010) builds on the assumption that the semantic similar- ity of words is strongly correlated to the overlap between their linguistic ...
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Exploitation of Co reference in Distributional Semantics
... The original aim of distributional semantics is to model the similarity of the meaning—the semantics—of words. The basic assumption underlying this approach is that the se- mantic similarity of two ...
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Proceedings of the Workshop on Distributional Semantics and Compositionality
... in distributional semantics. While distributional methods in semantics have proven to be very efficient in tackling a wide range of tasks in natural language processing, ...
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Formal Distributional Semantics: Introduction to the Special Issue
... years, distributional models have been extended to handle the semantic composition of words into phrases and longer constituents (Baroni and Zamparelli 2010; Mitchell and Lapata 2010; Socher et ...Formal ...
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Distributional Semantics for Resolving Bridging Mentions
... This intuition is backed by a manual analysis we conducted on 100 random errors not made by the baseline. When examining each of the system’s antecedent decisions and their weights, we found that 23% of the wrong links ...
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On the difficulty of a distributional semantics of spoken language
... from distributional semantics that “you shall know the word by the company it keeps” (Firth, 1957) is hopelessly confounded in the case of spoken ...capture semantics, we evaluate on speech and ...
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Alternative measures of word relatedness in distributional semantics
... with distributional seman- tic compositionality, since our method can be ex- tended from measuring word-word semantic relat- edness to evaluating phrasal ...on distributional semantics: finding a ...
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Estimating Linear Models for Compositional Distributional Semantics
... compositional distributional semantics (CDS) propose to obtain distributional meaning for sequences by composing the vectors of the words in the sequences (Mitchell and Lap- ata, 2008; Jones and ...
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Don’t Blame Distributional Semantics if it can’t do Entailment
... 3, distributional semantics, conceived of as a model of expression meaning ...of distributional semantics, but not those of formal semantics, suitable for characterizing expression ...
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Distributional Semantics Meets Multi-Label Learning
... We present a label embedding based approach to large-scale multi-label learning, drawing inspiration from ideas rooted in distributional semantics, specifically the Skip Gram Nega- tive Sampling (SGNS) ...
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Multimodal Distributional Semantics
... Distributional semantics is the branch of computational linguistics that devel- ops methods to approximate the meaning of words based on their distributional properties in large textual ...the ...
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Composition of Compound Nouns Using Distributional Semantics
... of distributional semantics to repre- sent the meaning of a single word has proven to be very effective, but there still is diffi- culty representing the meaning of larger con- stituents, such as a noun ...
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Functional Distributional Semantics
... to distributional semantics generally involve representing words as points in a high-dimensional vector ...formal semantics, which makes it challenging to perform inference, or capture various ...
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