[PDF] Top 20 Syntactic/Semantic Structures for Textual Entailment Recognition

... In this paper, we propose models for effectively using syntactic and semantic information in RTE, without requiring either large automatic rule acqui- sition or hand-coding. These models exploit lexi- cal ... See full document

... introduced syntactic scaffolds, a multitask learning approach to incorporate syntactic bias into semantic processing ...explicit syntactic processing is re- quired at ...for semantic ... See full document

... “normalised” semantic representation intended to abstract away from surface differences and assign para- phrases the same representation (Bedaride and Gardent, 2009a; Bedaride and Gardent, ... See full document

... that syntactic and semantic tasks are re- lated but not ...identical. Semantic dependencies can take place between words loosely related by the syntactic ...grows syntactic and ... See full document

... Textual entailment (TE) is a relation that holds between two pieces of text where one reading the first piece can conclude that the second is most likely ...textual entailment. The deep ... See full document

... into syntactic trees based on Combinatory Categorial Grammar (CCG) (Steedman, ...a syntactic the- ory suitable for semantic composition from syn- tactic ...on semantic templates and combi- ... See full document

... Multi-task Learning is a learning mechanism to improve performance on the current task after having learned a different but related concept or skill on a pre- vious task. It can be performed by learning tasks in parallel ... See full document

... Given two trees T1 and T2, the functionality of tree kernels is to compare two tree structures by comput- ing the number of common substructures between T1 and T2 without explicitly considering the whole fragment ... See full document

... on syntactic cues has been carried out in (Vanderwende et ...the entailment was: true by syntax ; false by syntax ; not syntax ; can’t ...predicts entailment using syntactic features and a ... See full document

... Recognizing Textual Entailment (RTE) is the task of detecting directional semantic entailment relation between a text pairs <text, ...and structures of text and hypothesis are ... See full document

... tasks Semantic Relatedness (SR) and Textual Entailment (TE) (Marelli et ...Distributional Semantic Models (CDSMs) handling the challenging phe- nomena, such as contextual synonymy and other ... See full document

... on textual entailment (TE) recognition mechanism that uses semantic features expressed in the Universal Networking Language ...the entailment relation as either validated or ... See full document

... Two datasets are derived from the corpus: The dataset containing the utterances of the users (CST) and one dataset containing the utterances of the wizard (NPC), whereas the NPC corpus is cleaned from the “protocol ... See full document

... ited semantic representations. Some have used sim- ple measures of semantic overlap, but the more in- teresting work has largely converged on a graph- alignment approach, operating on semantic graphs ... See full document

... For a better understanding of the variance of the results according to the corpora, including ro- bustness to noise and dependency of the veridi- cal presupposition on the information in corpus, we used a technique of ... See full document

... the semantic relations, the underlying relation- ships between ...Our semantic parser takes free En- glish text or parsed sentences and extracts a rich set of semantic relations 3 between words or ... See full document

... General-purpose Semantic Parsing General-purpose, open-domain semantic parsing systems that output logical-form meaning rep- resentations are freely available today, but have not yet been widely used in TE ... See full document

... sentence-level entailment prediction. The recognition of monotonic relations is done using an adapted version of Sanchez Valencia’s Natural Logic (Valencia, 1991), the alignment between the text and ... See full document

... The second resource which we have used as a source of axioms is FrameNet, release 1.5, see Rup- penhofer et al. (2006). FrameNet has a shorter history in NLP applications than WordNet, but lately more and more ... See full document

... indicate entailment. The degree of similarity between the syntactic parse trees of the two texts was also used as a clue for entailment by several systems (Herrera et ...the entailment between ... See full document