[PDF] Top 20 Algebraic Approaches to Compositional Distributional Semantics

... Montague semantics. However, their version of Montague semantics assumed a particular model, and thus effectively mapped sentences to truth ...Montague semantics in which sentences are mapped to ... See full document

... Some approaches try to overcome the prob- lem of varying branching ...These approaches strongly de- pend on input parse trees and are very sensitive to parsing ... See full document

... It leaves open the question of how to learn tensors of specific ranks. This, very much like in the case of the DisCoCat framework of Coecke et al. (2010) from which it originated, is intentional: There may be more than ... See full document

... The entailment relation between two sentences, in turn, is labelled with entailment, contradic- tion, or neutral. According to the SICK guidelines, the label assigned by the majority of human anno- tators is selected as ... See full document

... of approaches from the 1970s ...Such approaches combine syntax, compositional and lexical semantics within one model and thus lexical se- mantics can influence and constrain ... See full document

... In the tfds task, not surprisingly the add and mult models, lacking determiner representations and being order-insensitive, fail to distinguish be- tween true paraphrases and foils (indeed, for the mult model foils are ... See full document

... these approaches manage to construct distributional semantics representa- tions for novel phrases, starting from the corpus-derived vectors for their lexical ...fully compositional cases, as ... See full document

... two compositional approaches, vector mixtures and categorical models, in a unified framework: while categorical composition is still applied to compute vectorial representations for a theme and a rheme, the ... See full document

... fact, compositional abilities of distributional models have been subject of much discussion and research in recent ...these approaches, most of them only deal with phrases and sentences of two ... See full document

... tend distributional semantics with a component that also generates vectors for complex linguistic con- stituents, using compositional operations in the vec- tor space (Baroni and Zamparelli, 2010; ... See full document

... These approaches might be useful for correcting collocations, but they are less suitable for error detec- tion in free word combinations. As they compare original word combinations to their alternatives using ... See full document

... Socher et al. (2013) present a recursive neural net- work architecture which jointly learns semantic rep- resentations and syntactic categories of phrases. By annotating syntactic categories with their distribu- tional ... See full document

... nificantly better than stem (p < .001). Lexfunc provides a flexible way to account for affixation, since it models it directly as a function mapping from and onto word vectors, without requiring a vector ... See full document

... hand, compositional distributional semantics (CDS) propose to obtain distributional meaning for sequences by composing the vectors of the words in the sequences (Mitchell and Lap- ata, 2008; ... See full document

... years, distributional models have been extended to handle the semantic composition of words into phrases and longer constituents (Baroni and Zamparelli 2010; Mitchell and Lapata 2010; Socher et ...Formal ... See full document

... Distributional semantics has revolutionised com- putational semantics by representing the meaning of linguistic expressions as vectors that capture their co-occurrence patterns in large corpora (Tur- ... See full document

... many approaches (Bos, 2008; Zettlemoyer and Collins, 2005; Kwiatkowski et ...those approaches, DeSCoG represents semantics by graphs, which provide a way to flexibly break and combine ... See full document

... Baroni, Bernardi, and Zamparelli (2014) propose a method for learning a relative pronoun as a fourth-order tensor that maps verb–argument phrases to noun modifiers. The proposed method would use multi-step linear ... 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

... 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