[PDF] Top 20 Learning Dependency Based Compositional Semantics

... challenging learning problem, we introduce a new semantic representation which highlights a parallel between dependency syntax and effi- cient evaluation of logical ... See full document

... We demonstrate our techniques on the concrete task of building a system to answer questions given a structured database of facts; see Figure 1 for an example in the domain of U.S. geography. This problem of building ... See full document

... policy learning that prevents the use of composi- tional structure, and nothing inherent to general compositional models that prevents more compli- cated dependence on environment ...representation, ... See full document

... One of the limitations of the current paper is the lack of a qualitative analysis of how learnt vector- based semantics has affected the reranking results. Therefore, the need for “compositional ... See full document

... new compositional representation of the verb run when it is combined with computer at the subject po- ...new compositional feature sets represent the contextualized senses of the two re- lated ...times ... See full document

... for compositional semantics with an open predicate ...rule- based semantic parser that produces a logical form for the text, and a probabilistic database that defines a distribution over denotations ... See full document

... the compositional mechanism of Baroni and Zamparelli (2010) as a specific case, thereby uniting both lines of research in a common ...matrix learning method to higher rank tensors, allowing us to induce the ... See full document

... from compositional seman- tics ...to learning-based alternatives, which one might expect to be more effective in handling some aspects of the polarity classification ... See full document

... the to the abstraction next refine a spurious counterexample Abstraction refinement, assume-guarantee reasoning and the L* algorithm for learning regular languages are combined to yield [r] ... See full document

... Grefenstette et al. (2013) use a dedicated sen- tence space for SVO sentences, in which the fea- tures are intra-sentential co-occurrences of VO pairs and SVO triples with the 10,000 most fre- quent words in the corpus. ... See full document

... for semantics as ...structural learning, Wong (2007) with machine translation, Kate and Mooney (2006) with a kernel method, and so ...addressed learning with less supervision: Clarke et ... See full document

... 4.3.2 Comparison to other RTE systems A comparison between our system and other RTE systems is shown in Table 6. Bos06 (Bos and Markert, 2006) is a hybrid system combining deep features from a theorem prover and a model ... See full document

... of Dependency-based Com- positional Semantics (DCS) (Liang et ...exact semantics of ev- ery specific GQ, but instead captures some major properties that are both easily implementable with the ... See full document

... a compositional Bayesian semantics that interprets declarative sentences in a natu- ral language by assigning them probability ...Our semantics is implemented in a functional programming ...our ... See full document

... We will sketch a method by which Montague semantics can be described within the context-theoretic framework. We follow a standard method of representing logic in language, but instead of representing words using ... See full document

... Alloy [10] is a declarative textual modelling language based on first-order relational logic. An Alloy model consists of a number of signature declarations, fields, facts and predicates. Furthermore, each ... See full document

... parsers based on sophisticated syntac- tic theories (Clark and Curran, 2007), an open do- main system has been developed that supports cer- tain degree of robust semantic interpretation with wide coverage (Bos et ... See full document

... 2011). Compositional Vector Models For a number of important problems, semantic representations of individual words do not suffice, but instead a se- mantic representation of a larger ...the learning of ... See full document

... where m i n and m a x are functions that have as output the lowest and highest value in their sources respectively. T here are, I think, two general [)roblems with using this semantics as a means to caj)ture a ... See full document

... formal semantics for such particles and additive particles in particular, we need to somehow model this influence of the focus ...two-dimensional semantics, which defines for each expression two semantic ... See full document