[PDF] Top 20 A Markovian approach to distributional semantics with application to semantic compositionality

... the distributional hypothesis was famously summarized by Firth (1957) as follow: “you shall know a word by the company it ...The distributional hypothesis has been applied in computational linguistics in ... See full document

... on distributional semantics and compositionality as well as for those interested in extracting non-compositional phrases from large corpora by applying distributional methods that assign a ... See full document

... in Distributional Semantics Models (DSMs) (Baldwin et ...a distributional se- mantic ...its semantic non- compositionality and idiomatic ... See full document

... of compositionality in distri- butional models of ...the semantic composi- tion of pairs of adjacent English Adjec- tives and Nouns from the British National ...of compositionality: a simple additive ... See full document

... applying distributional mod- els that assign a graded compositionality score to a phrase, as well as researchers interested in express- ing compositional meaning with such ...acquiring semantic ... See full document

... this approach, sentences should be translated to a logical form that can be interpreted as a description of the state of the ...the distributional hypothesis of Harris (1968), that words will occur in ... See full document

... The two remaining data sets are larger and more ‘natural’, as they were not constructed by linguists under controlled conditions to focus on specific phenomena. They are aimed at evaluating sys- tems on the sort of ... See full document

... prominent approach for representing the meaning of a word in Natural Lan- guage Processing (NLP) is to treat it as a numerical vector that codes the pattern of co-occurrence of that word with other expressions in ... See full document

... of semantic models which have an impressive track record of replicating human behavior and enabling real-world ...2007), semantic priming (Lund and Burgess, 1996; Landauer and Dumais, 1997; Griffiths et ... See full document

... an approach to semantic compositionality in computational lin- guistics based on the combination of Distributional Semantics and supervised Machine ...brief, distributional ... See full document

... Using sepsis as the query term, we have shown how to anchor plain text candidate terms from DSMs into shareable high-level constructs, i.e. UMLS concepts represented in OWL that can be easily queried with SPARQL based on ... See full document

... latent semantic analysis and latent Dirichlet allocation as a mapping of documents or words into a continuous lower dimensional ...capture semantic and syntactic ... See full document

... In this paper, we argue that sememes are ben- eficial to modeling SC 2 . To verify this, we first design a simple SC degree (SCD) measurement experiment and find that the SCDs of MWEs computed by simple sememe-based ... See full document

... of semantic similarity derived from a vector-space model for the study of syn- tactic productivity in ...this approach were demonstrated. Not only does dis- tributional semantics provide an ... See full document

... shares semantic structures with the text ...by distributional models trained on a full balanced and representative corpus (for example, the whole ...above, distributional models compute meaning by ... See full document

... where Y is contracted with the third index of K because we have maintained the order defined by the type (S \NP )/NP : the third index then corre- sponds to an argument NP coming from the right. Counting the number of ... See full document

... Bordes et al. (2011) propose the Structured Em- beddings (SE) model, which embeds entities into vectors and relations into matrices. The relation connection between two entities is modeled by the projection of their ... 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

... Furthermore, since sparse representations have been shown to be beneficial in NLP, both for ap- plications and for interpretability of features (Mur- phy et al., 2012; Faruqui et al., 2015), we can en- force sparsity in ... 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