[PDF] Top 20 The Role of Syntax in Vector Space Models of Compositional Semantics

... CCAE models are capable of learning ...other models such as the MV-RNN (Socher et ...general models: The CCAE models can be used for multiple tasks with- out the need to re-train the main ... See full document

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

... for vector space representations of word and phrase mean- ing, by providing an explicit probabilistic process by which natural language expressions are gener- ated from vectors in a continuous space ... See full document

... (2010) models nouns as vectors in some semantic space and ad- jectives as ...semantic space to other similar ...additive vector-space ... See full document

... the vector space ...to models which encode hyponymy in the parameters of a vector-space operator or clas- sifier (Fu et ...on compositional semantics. We are also not ... See full document

... Compositional distributional semantics models (CDSMs) are functions mapping text fragments to vectors (or higher-order tensors). Functions for simple phrases directly map distributional vectors of ... See full document

... of syntax-based distributional spaces lies in their promise of flexible and linguistically more appropriate models for many phenomena in lexical ...simplest models, which are based solely on the ... See full document

... Several models for compositionality in vector spaces have been proposed in recent years, and most of them use bag-of-words as basic distribu- tional representations of word ...ditive models giving ... See full document

... model vector composition through non-linear ...guage models from such methods have been use- ful for tasks such as relation classification, polarity detection, event coreference and parsing; much of ... See full document

... To summarize, we have presented a novel method for learning multilingual word embeddings using parallel data in conjunction with a multilingual ob- jective function for compositional vector models. ... See full document

... quences (NN set); and (b) a set containing Verb- Noun sequences (VN set). Capturing different syntactic relations, these two sets can support that our results are independent from the syntactic re- lation between the ... See full document

... linguistic models are sub- sumed by this general idea ranging from purely symbolic approaches (like type systems and cate- gorial grammars) to rather statistical models (like vector space and ... See full document

... present vector space semantic parsing (VSSP), a general framework for building compositional models of vector space ...produce vector space ... See full document

... Distributional semantics models (DSMs) approx- imate meaning with vectors that record the dis- tributional occurrence patterns of words in cor- pora. DSMs have been effectively applied to in- creasingly ... See full document

... dimension which involves social and political aspect (human change, social structure, society demeanour, and national institutions) (Razmi et al., 2012). The end product of development is welfare (Daiute; 2010; Alkire ... See full document

... tensor-based compositional func- tions with very positive ...RecNN compositional architecture in a num- ber of phrase and sentence similarity tasks (Cheng et ...deep compositional setting is an idea ... See full document

... Keywords: Machine Learning; Algorithms; Natural Language Processing, Deep Learning, Vector 29.. Space Models, Semantic Similarity, Distributional Semantics, Latent Semantic Analys[r] ... See full document

... word-collocate models using four English corpora that differ considerably in quality, size and ...based models rather than the more complex ones (such as dependency or document models) because it is ... See full document

... is th e d o m a in relative tru th p ro p e rty fo r the aesthetic d o m ain in this w orld, th e n it is so in every world. T h e p ro p o sitio n that Tom Cruise is pretty is tru e in som e w orld ju s t in case it is ... See full document

... Closest to our work is Menchetti et al. (2005) and Socher et al. (2013): both also rely on sym- bolic parsers to reduce the search space and use RNNs to score candidate parses. However, our work differs in the way ... See full document