Results 91 to 100 of about 368,749 (284)

Parser evaluation using textual entailments

Language Resources and Evaluation, 2012
Parser Evaluation using Textual Entailments (PETE) is a shared task in the SemEval-2010 Evaluation Exercises on Semantic Evaluation. The task involves recognizing textual entailments based on syntactic information alone. PETE introduces a new parser evaluation scheme that is formalism independent, less prone to annotation error, and focused on ...
Deniz Yuret, Laura Rimell, Aydin Han
openaire   +3 more sources

The Multiple Sclerosis Severity Allele rs10191329A and Cognitive Function: A UK Biobank Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The genome‐wide association study of Multiple Sclerosis severity linked the genetic variant rs10191329A to long‐term disability and implicated brain resilience as a determinant of outcome. We hypothesised that rs10191329A might influence cognition in other neurological diseases and healthy controls.
Ioanna Zimianiti, Sheena Waters, Adil Harroud, Pernilla Stridh, Ruth Dobson, Benjamin M. Jacobs   +5 more
wiley   +1 more source

Inferring textual entailment with a probabilistically sound calculus

, 2009
We introduce a system for textual entailment that is based on a probabilistic model of entailment. The model is defined using a calculus of transformations on dependency trees, which is characterized by the fact that derivations in that calculus preserve
Harmeling, S.
core   +1 more source

A Survey of Paraphrasing and Textual Entailment Methods

Journal of Artificial Intelligence Research, 2010
Paraphrasing methods recognize, generate, or extract phrases, sentences, or longer natural language expressions that convey almost the same information. Textual entailment methods, on the other hand, recognize, generate, or extract pairs of natural language expressions, such that a human who reads (and trusts) the first element of a pair would most ...
Ion Androutsopoulos, Prodromos Malakasiotis   +1 more
openaire   +4 more sources

Semantic Annotation for Textual Entailment Recognition [PDF]

, 2013
We introduce a new semantic annotation scheme for the Recognizing Textual Entailment (RTE) dataset as well as a manually annotated dataset that uses this scheme. The scheme addresses three types of modification that license entailment patterns: restrictive, appositive and conjunctive, with a formal semantic specification of these patterns' contribution
Assaf Toledo, Sophia Katrenko, Stavroula Alexandropoulou, Heidi Klockmann, Asher Stern 0001, Ido Dagan, Yoad Winter   +6 more
openaire   +2 more sources

Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Primary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease‐modifying treatments in the future.
Oksana Pogoryelova, Jan Smeitink, Herma Renkema, Rosabeth White, Frankie Barton, Rachel Lyon, Jane Newman, Aye Moe, Yi Shiau Ng, Grainne Siobhan Gorman   +9 more
wiley   +1 more source

Learning shallow semantic rules for textual entailment [PDF]

, 2007
In this paper we present a novel technique for integrating lexical-semantic knowledge in systems for learning textual entailment recognition rules: the typed anchors. These describe the semantic relations between words across an entailment pair.
Zanzotto, Fm, Zanzotto, F, Pennacchiotti, M, ZANZOTTO, FABIO MASSIMO   +3 more
core   +1 more source

Hypernymy Relation in NLP: Tasks, Approaches, Resources, and Future Directions—A Systematic Literature Review

IEEE Access
Hypernymy is a semantic relation between two terms, where a more specific term is entailed by a more general term—that is, the meaning of the more specific term is encompassed by the meaning of the more general term.
Randah Alharbi, Husni Al-Muhtaseb, Tarek Helmy   +2 more
doaj   +1 more source

Nationwide Survey of Association Between Fever and Epileptic Seizure in CDKL5 Deficiency Disorder Revealed Therapeutic Implications

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective CDKL5 deficiency disorder (CDD) is a rare, severe developmental and epileptic encephalopathy. There is a pressing need to develop effective and sustainable therapeutic strategies. We aimed to investigate the causal association between febrile episodes and epileptic seizures for therapeutic implications in CDD patients.
Siyi Wang, Jialin Du, Jinghui Liu, Dongmei Hu, Hongxin Wang, Xiaoxiao Man, Lehong Gao, Shimin Hu, Xianghong Meng, Hongyang Zhao, Minjing Hu, Yingxue Yang, Zhiqi Xiong, Liankun Ren   +13 more
wiley   +1 more source

Textual Entailment with Structured Attentions and Composition

CoRR, 2017
Deep learning techniques are increasingly popular in the textual entailment task, overcoming the fragility of traditional discrete models with hard alignments and logics. In particular, the recently proposed attention models (Rocktäschel et al., 2015; Wang and Jiang, 2015) achieves state-of-the-art accuracy by computing soft word alignments between the
Kai Zhao 0003, Liang Huang 0001, Mingbo Ma   +2 more
openaire   +3 more sources