[PDF] Top 20 Modeling Quantification and Scope in Abstract Meaning Representations

... of scope with typed ex- pressions, there are several drawbacks to these ap- ...Flat representations reveal no semantic ...quantifier scope is often underspecified even when it can be disambiguated in ... See full document

... The quantification relation flags the variable to which it connects so that it needs a universal ...quantifier scope ambiguities are underspecified and different readings can be obtained by changing the ... See full document

... mal meaning representations for English, Dutch, German, and Italian, and a way to evaluate the quality of machine- generated meaning representations by comparing them to gold standard ... See full document

... In the first part of the tutorial, we will give a sys- tematic overview of the available semantic graph banks. On the one hand, we will distinguish graph banks with respect to the facets of natural language ... See full document

... negation scope (Huddleston et al., 2002). Automatic negation scope detection is a vital but challenging task that has various applications in areas such as text mining (Szarvas et ...Negation scope ... See full document

... When CpE/EE juniors are ready to study digital circuit configurations in microelectronics, they first should learn how an inverter circuit is formed using discrete components. This is initially introduced as ... See full document

... Figure 6: Representations of examples (1) and (2) when applying the Absolute Paths method. This method is perhaps the most attractive from a theoretical point of view. Note, however, that not every node in an AMR ... See full document

... of their great number of elements than languages with few elements, which are typically simpler. Moreover, if a creator of a language starts increasing its expressiveness by adding new elements, it is likely that its ... See full document

... 3.1 Semantic Language Model For tree structured meaning representations, individual nonterminal nodes determine particular abstract semantic concepts.. In the semantic language model, ea[r] ... See full document

... the meaning of a sen- ...processing, meaning representation parsing is distinguished from semantic parsing, a form of domain-dependent parsing that analyzes text into executable code for some specific ... See full document

... Abstract Meaning Representation (AMR) parsing aims at abstracting away from the syn- tactic realization of a sentence, and denoting only its meaning in a canonical ... See full document

... In this paper, we present an algorithm for learning a generative model of natural lan- guage sentences together with their for- mal meaning representations with hierarchi- cal structures. The model is ... See full document

... from meaning representation methodologies to issues in meaning representation parsing, to the adaptation of meaning representations to specific applications and domains, to cross-linguistic ... See full document

... As in our proposal, meaning repre- sentations are associated with elementary trees, va- riables are shared by the nodes of the elementary trees and the meaning representations and seman-[r] ... See full document

... Through interconnections at a metalinguistic level, between recognized phonetic word representations, grammatical aspects of meaning, and specific referential meaning for disambiguated w[r] ... See full document

... Abstract Meaning Representation (AMR) is a semantic representation for natural language that embeds annotations related to traditional tasks such as named entity recognition, semantic role labeling, word ... See full document

... AMR does not annotate every single word in the sentence since its goal is to represent the analysis of a sentence in predicative and conceptual levels. Furthermore, AMR does not represent inflectional morphology for ... See full document

... Researchers working on whole-sentence semantic parsing today typically use small, domain-specific sembanks like GeoQuery (Wong and Mooney, 2006). The need for larger, broad-coverage sem- banks has sparked several ... See full document

... Throughout our experiments we compare a bi- modal stacked autoencoder against unimodal au- toencoders based solely on textual and visual in- put (left- and right-hand sides in Figure 1, respec- tively). We also compare ... See full document

... 4 Abstract Meaning Representation Abstract meaning representation (AMR) (Langk- ilde and Knight, 1998; Banarescu et ...sentence meaning as directed, rooted, acyclic graphs with node and ... See full document