[PDF] Top 20 Towards Turkish Abstract Meaning Representation

... graphs, Abstract Meaning Representation (AMR) abstracts away from syntactic features such as word order and does not annotate every constituent in a ...first Turkish AMR corpus by ... See full document

... Speech acts have been used as part of the mean- ing representation of task-oriented dialogue sys- tems since the 1970s (e.g., Bruce, 1975; Cohen and Perrault, 1979; Allen and Perrault, 1980). For a summary of some ... See full document

... generalize. Abstract rules make use of a POS abstract rule table, which is a table listing every combination of the POS of the concept realization, the child arguments’ labels, and rule RHS with the concept ... See full document

... AMR parsing also shares much in common with tasks like semantic role labeling and frame- semantic parsing (Gildea and Jurafsky, 2002; Pun- yakanok et al., 2008; Das et al., 2014, inter alia). In these tasks, predicates ... See full document

... AMR has been successfully used for deeper se- mantic tasks like entity linking (Pan et al., 2015) and abstractive summarization (Mihalcea et al., 2015). Work by Garg et al. (2015) is the first one to make use of AMR ... See full document

... Banarescu et al. (2013) describe a semantics bank of English sentences paired with their logical meanings, written in Abstract Meaning Represen- tation (AMR). The designers of AMR leave open the question of ... See full document

... To provide a concrete example, our dictionary lookup classifier predicts the correct AMR sub- graph 67% of the time on the dev set. We therefore define the reliability of the DICT action as 0.67. In contrast to DICT, ... See full document

... Abstract meaning representation (AMR) was in- troduced by Banarescu et ...to abstract meaning away from ...in meaning should be assigned the same AMR, even if they are not ... See full document

... AMR strings have an effective preterminal label of ‘X,’ which allows them to compete with full AMR instances at decode time. However, whether or not a role is filled by a string or an instance is highly dependent on the ... See full document

... semantic representation language appears based on the assumption that we lack a simple readable se- mantic bank of natural language sentences “paired with their whole-sentence, logical meanings” (Banarescu et ... See full document

... ABSTRACT This paper describes a 'Logical Form' target language for representing the literal meaning of English sentences, and an intermediate level of representation 'Quasi Logical Form'[r] ... See full document

... This paper attempts to survey, motivate, and ex- plain recent work on automata that recognize sets of directed acyclic graphs (DAGs). These au- tomata are called DAG automata and the lan- guages they recognize regular ... See full document

... on Abstract Meaning Repre- sentation (AMR) to design a meaning representa- tion for ...a meaning representation for Vietnamese based on AMR, and highlight the characteristics and the ... See full document

... into meaning representations, and must abstract over syntactic phenom- ena, resolve anaphora, and identify word senses to eliminate ambiguous interpre- ...tations. Abstract meaning ... See full document

... into meaning representations, and must abstract over syntactic phenom- ena, resolve anaphora, and identify word senses to eliminate ambiguous interpre- ...tations. Abstract meaning ... See full document

... (a) An AMR graphical depiction of the meaning of the sen- tence France plans further nuclear cooperation with nu- merous countries . Concepts are represented as ovals, and relations are the directed connections ... See full document

... the Abstract Meaning Representation (AMR) project to provide coverage for the annotation of certain types of ...semantic representation despite language-specific syntactic ... See full document

... Previous NP researches have mainly focused on these different subproblems of NP analysis using different data sets, rather than targeting general NPs simultaneously. However, these subproblems of NP analysis tend to be ... 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 ... See full document

... of the original sentences while maintaining its un- derlying meaning. As a consequence, different phrasings of one sentence are expected to provide identical AMR representations. This canonicaliza- tion does not ... See full document