[PDF] Top 20 A Generalisation of Lexical Functions for Composition in Distributional Semantics

... different composition models within a distri- butional ...vector composition, of which vector addition (the sum of each feature) and vector multiplication (the element-wise multiplication of each feature) ... See full document

... titask Lexical Contrast Model (mLCM), an extension of the effective Skip-gram method that optimizes semantic vectors on the joint tasks of predicting corpus contexts and making the representations of WordNet ... See full document

... comparing composition functions, a previously unused metric, and we will be able to determine if using the composition vectors as input to a classifier can improve overall performance of the ... See full document

... At one end of the spectrum the simple models of Mitchell and Lapata (2008) address composi- tion as the point-wise multiplication or addition of the involved word vectors. This bag-of-words approach has been proven a ... See full document

... the lexical function model and the observed ...the lexical function also fared well, since its nearest neighbors were preferred in 40% of the ...The lexical function neighbor is preferred in 59% of ... See full document

... Such a representation provides a continuous model of similarity (and meaning) at the phrasal-level and/or sentence-level. We anticipate that vector comparisons of phrase- or sentence-level vectors produced in this manner ... See full document

... in distributional vector space models have focused either on high- dimensional vectors with hundreds of thousands of dimensions, or dense vectors with dimensionality of a few hundreds; but dimensionality of a few ... See full document

... compositional distributional models beyond the word/phrase ...pragmatically-aware distributional mod- els should help us to induce dialogue acts in an unsupervised way and to model them as context update ... See full document

... the semantics, not the parser, we manually supply gold-standard lexical categories for sentences with parser errors (any syntactic mistake causes incorrect ... See full document

... Sentential semantic relatedness As the main purpose of C-PHRASE is to obtain good sentence meaning representations, I evaluate it also on several sentential tasks. As shown in chapter 4, composed sentence representations ... See full document

... are composition models that try to model human judgements about XNs with the help of the vectors of their constituents and some compositionality ...in lexical decision ...overall semantics of the MWE ... See full document

... and Distributional Semantics here advocated suggests a very promising perspective: transformation functions corresponding to different syntactic relations could be learned from suitably processed ... See full document

... formal semantics of DCS, distributional vector representations are useful in capturing lexical semantics of words (Turney and Pantel, 2010; Levy et ...formal semantics will be realized ... See full document

... of composition functions Once meaningful representations have been constructed for the atomic target elements of interest (typically, words), various methods, such as vector addition or multiplication, can ... See full document

... to distributional semantics, especially with respect to particular categories of phrase ...that distributional se- mantic representations might play in the production of a model of a ...on ... See full document

... between distributional representations and the semantics of logical ...using distributional representations as inten- sions of logical ...the distributional representation for the word ... See full document

... 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 ... See full document

... enrich distributional models that rep- resent word meaning with visual features automati- cally extracted from images (Feng and Lapata, 2010; Bruni et ...of semantics (such as color) where we expect visual ... See full document

... We have introduced a novel framework for distri- butional semantics, where each predicate is rep- resented as a function, expressing how applica- ble the predicate is to different entities. We have shown how this ... See full document

... tual” semantics (Erk 2013; McNally 2013) without a notion of entity (and therefore of set or ...however, distributional information can play a role in building entity representations that are richer than ... See full document