[PDF] Top 20 Lexical Semantics and Model Theory: Together at Last?

... Importantly, both ACR and CVS are essentially type free. They assume that the representation of the whole utterance is not any different from the repre- sentation of the constituents, down to the lexical en- ... See full document

... based on cross-cutting categorization (Shafto et al., 2006) that generalizes traditional vector-space or distributional models of lexical semantics (Curran, 2004; Pad´o and Lapata, 2007; Sch¨utze, 1998; ... See full document

... core theory of an abstract domain is instantiated as a specific domain, then the vocabulary associated with the abstract domain is also instantiated, giving us a rich vocabulary for talking about the specific ... See full document

... English lexical sample task indicated that their method achieved good ...WSD model using Maximum A Posteriori Inference Query built on a Markov Random Field (MRF) using WordNet and Link Parser (Stanford ... See full document

... performing model with discourse but without LS outperforms the CR baseline by ...performing model that combines discourse with LS has a ...myelination”). Model features associated ... See full document

... the model was a modeling of Hare (and not English as it is), we would add the constraint { disjoint } to the inheritance relations in order to indicate that the actor can be either an agent or an effector, but not ... See full document

... The features, either of syntactic or semantic, are manually abstracted from sample sentences. We do not employ machine learning software (like Stanford Parser, SRL software) to do the job, because the purpose of this ... See full document

... LSO model is that it can help to avoid some of the many pitfalls asso- ciated with what Pustejovsky calls the Sense Enumeration Lexicon (SEL) (see Pustejovsky ...a lexical entry are represented as a set of ... See full document

... distributional semantics, especially with respect to particular categories of phrase ...a model of a ...distributional semantics has been somewhat disappointing in failing to provide models which are ... See full document

... erative model that generates a paraphrase of a given sentence, and we use proba- bilistic inference to reason about whether two sentences share the paraphrase rela- ...The model cleanly incorporates both ... See full document

... trained model can represent semantics of a given word as a sequence of its ‘nearest associates’: words closest to the key word by the cosine similarity of their vectors ... See full document

... WS-353 contains between 13 and 16 human sim- ilarity judgements for each of 353 word pairs, rated on a 1–10 integer scale. WN-Evocation is signif- icantly larger than WS-353, containing over 100k similarity comparisons ... See full document

... receive semantics from all the other words in a sentence, hence, the word oil, in the above example, will be assigned the incorrect finance topic that reflects the sentence level ...receiving semantics from ... See full document

... The importance of language factorization gets more and more magnified as the vocabulary and structure of the subject language gets richer. In fact, while Arabic is on the extreme of richness as per its vocabulary when ... See full document

... Discourse Semantics Meets Lexical Field Semantics D i s c o u r s e S e m a n t i c s M e e t s L e x i c a l F i e l d S e m a n t i c s B e a t e F i r z l a f f a n d D a n i e l a S K u n z G e r[.] ... See full document

... A more implementation-oriented description of the process is the following: i analyze affixes by hand to gain fixed correspondences between affix and lexical semantic information ii coll[r] ... See full document

... logic-based semantics (Montague, 1970; Dowty et ...extracting semantics from syntactic representations such as HPSG (Copestake et ...a model of natural logic (Lakoff, ...database semantics in ... See full document

... Role of Word Sense Disalnbiguation in Lexical Acquisition Predicting Semantics from Syntactic Cues Role of Word Sense Disambiguation in Lexical Acquisition Predicting Semantics from Syntactic Cues B o[.] ... See full document

... For test set one, the lexical selection of the system got a correct rate 57.8% before encoding the meaning of the unknown verb arguments; and a correct rate 99.45% after giving the unkno[r] ... See full document

... Distributional semantics can be broadly conceived as a staged approach to capture the semantics of a lexical item in focus via contextual patterns. Con- cordances are probably the most simple scheme ... See full document