[PDF] Top 20 A Vector Space for Distributional Semantics for Entailment

... These noun-noun word pairs include positive hy- ponymy pairs, plus negative pairs consisting of some other hyponymy pairs reversed, some pairs in other semantic relations, and some random pairs. Their selection is ... See full document

... 3, distributional semantics, conceived of as a model of expression meaning ...of distributional semantics, but not those of formal semantics, suitable for characterizing expression ... See full document

... Textual Entailment (RTE) is an NLP task aimed at de- tecting whether the meaning of a given piece of text entails the meaning of another ...of entailment, and nei- ther should be obvious: negative examples ... See full document

... a vector-space model for the study of syn- tactic productivity in ...tributional semantics provide an empirically-based measure of semantic similarity that appropriately captures semantic ... See full document

... characterize entailment between nouns using their semantic vectors, we need data exemplifying which noun entails ...a distributional point of view, the vector for an N should by construction include ... See full document

... Vector space models have become popu- lar in distributional semantics, despite the challenges they face in capturing various semantic ...formal semantics and recent advances in machine ... See full document

... Vector Space Specialisation A standard ap- proach to incorporating external information into vector spaces is to pull the representations of simi- lar words closer ...tional vector spaces by ... See full document

... a distributional semantics space to some heavily underspecified form of a “model-theoretic” space (Herbelot and Vecchi 2015); (c) a function from sentences in a discourse to other sentences in ... See full document

... lexical entailment information to NLP appli- cations (Bos and Markert, ...using distributional semantics (Weeds and Weir, 2003; Weeds et ...the distributional vectors A ~ and ... See full document

... of distributional se- mantics suffer from computational issues such as data sparsity for individual lex- emes and complexities of modeling se- mantic composition when dealing with structures larger than single ... See full document

... Vector space models represent words by vectors based on co-occurrence ...the semantics of phrases or sentences (Mitchell and Lapata, ...in vector-space ... See full document

... sages is one of the most useful features that the computational analysis of text could provide (Dagan et al., 2009). I test the model on the SICK entailment task (sick-e) (Marelli et al., 2014). All SICK sentence ... See full document

... between distributional and formal ...Formal Distributional Semantics (FDS, Boleda and Herbelot, 2016) includes efforts to a) investigate the mapping from distributional models to formal ... See full document

... Distributional semantics is a potential solution to this ...of distributional approaches are that they can be eas- ily trained from a large corpus, and they enable a graded notion of ...optimize ... See full document

... same vector space ...sitional vector space models of ...positional distributional semantics focuses on de- scribing procedures for combining vectors for in- dividual words in ... See full document

... feature vector (called a “descriptor”) is built to represent each ...descriptor space, are then grouped into a number of ...descriptor vector in an image, after mapping to the nearest cluster, will ... See full document

... compositional semantics have drawn in- spiration from the success of distributional mod- els of lexical ...as distributional vectors, implying that a word’s meaning is a function of the envi- ronment ... See full document

... multimodal distributional semantics, by first creating their own dataset of images and visual attributes for the nouns contained in the McRae et ...semantic space is then represented by a ... See full document

... sentence space to be the same space as one in which context vectors live, namely we stipulate that S = ...to vector spaces (Coecke et ...the space complexity of the ... See full document

... a semantics for distributional representations, namely that each point in vector space stands for a set of mental ...joint semantics of distributional and logical rep- ... See full document