Lexical Variability and Compositionality: Investigating Idiomaticity with Distributional Semantic Models
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Unsupervised Compositionality Prediction of Nominal Compounds
Nominal compounds such as red wine and nut case display a continuum of compositionality, with varying contributions from the components of the compound to its semantics. This article proposes a framework for compound com…
PredictionMeasuring the compositionality of NV expressions in Basque by means of distributional similarity techniques
We present several experiments aiming at measuring the semantic compositionality of NV expressions in Basque. Our approach is based on the hypothesis that compositionality can be related to distributional similarity. The…
Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels
Accurate assessment of the ability of embedding models to capture idiomaticity may require evaluation at token rather than type level, to account for degrees of idiomaticity and possible ambiguity between literal and idi…
Vocal Bursts Type PredictionOptimizing a Distributional Semantic Model for the Prediction of German Particle Verb Compositionality
In the work presented here we assess the degree of compositionality of German Particle Verbs with a Distributional Semantics Model which only relies on word window information and has no access to syntactic information a…
LemmatizationSemantic CompositionInvestigating Idiomaticity in Word Representations
Idiomatic expressions are an integral part of human languages, often used to express complex ideas in compressed or conventional ways (e.g. eager beaver as a keen and enthusiastic person). However, their interpretations …