Results 31 to 40 of about 631,702 (254)

Word Overlap Artifacts in Textual Entailment Models: A Study with Multilingual Back Translation on the SNLI Dataset

Engineering Proceedings
This paper investigates the domain of Natural Language Inference (NLI), with an emphasis on Recognizing Textual Entailment (RTE). We utilize the Stanford Natural Language Inference (SNLI) dataset, a benchmark for RTE tasks, to examine the efficacy of ...
Franklin Quilumba, Fausto Valencia, Hugo Arcos   +2 more
doaj   +1 more source

Recognizing Textual Entailment Via Atomic Propositions [PDF]

, 2006
This paper describes Macquarie University's Centre for Language Technology contribution to the PASCAL 2005 Recognizing Textual Entailment challenge. Our main aim was to test the practicability of a purely logical approach. For this, atomic propositions were extracted from both the text and the entailment hypothesis and they were expressed in a custom ...
Elena Akhmatova, Diego Mollá
openaire   +2 more sources

Multilevel dynamic gated inference network for recognizing textual entailment

四川大学学报. 自然科学版, 2020
Most existing models of recognizing textual entailment (RTE) get the interaction features between a premise and a hypothesis by an attention matrix at word level.
ZhangRui, YANG Xu-Chen, JU Sheng-Gen, LIU NingNing, XIE Zheng-Wen, WANG Jing-Yan   +5 more
doaj  

Recognizing Textual Inference in Mongolian Bar Exam Questions

Applied Sciences
This paper examines how to apply deep learning techniques to Mongolian bar exam questions. Several approaches that utilize eight different fine-tuned transformer models were demonstrated for recognizing textual inference in Mongolian bar exam questions ...
Garmaabazar Khaltarkhuu, Biligsaikhan Batjargal, Akira Maeda   +2 more
doaj   +1 more source

The role of sentence structure in recognizing textual entailment [PDF]

Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing - RTE '07, 2007
Recent research suggests that sentence structure can improve the accuracy of recognizing textual entailments and paraphrasing. Although background knowledge such as gazetteers, WordNet and custom built knowledge bases are also likely to improve performance, our goal in this paper is to characterize the syntactic features alone that aid in accurate ...
openaire   +2 more sources

IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-11 [PDF]

, 2015
In this paper, we describe the IMTKU (Information Management at TamKang University) textual entailment system for recognizing inference in text at NTCIR-11 RITE-VAL (Recognizing Inference in Text). We proposed a textual entailment system using statistics
Day, Min-Yuh, Day, Min-Yuh; Wang, Ya-Jung; Hsu, Che-Wei; Tu, En-Chun; Wu, Shang-Yu; Hsu, Huai-Wen; Lin, Yu-An; Tai, Yu-Hsuan; Tsai, Cheng-Chia, Day, Min-Yuh; Ya-Jung Wang; Che-Wei Hsu; En-Chun Tu; Shang-Yu Wu; Huai-Wen Hsu; Yu-An Lin; Yu-Hsuan Tai; Cheng-Chia Tsai   +2 more
core   +1 more source

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld, Scott H. Maurer, Michelle D. Watkinson, John Nury, Elise Barberis, Molly C. Mack   +5 more
wiley   +1 more source

Recognising Textual Entailment Focusing on Non-Entailing Text and Hypothesis [PDF]

, 2008
This paper describes a predominantly shallow ap-proach to the rte-4 Challenge. We focus our at-tention on the non-entailing Text and Hypothesis pairs in the dataset. The system uses a Maximum Entropy framework to classify each pair of Text and Hypothesis
Nahnsen, Thade, Klein, Ewan, Shen, Rongzhou, Grover, Claire; id_orcid   +3 more
core  

Unsupervised Learning of Relational Entailment Graphs from Text [PDF]

, 2021
Recognizing textual entailment and paraphrasing is critical to many core natural language processing applications including question answering and semantic parsing.
Hosseini, Mohammad Javad
core   +1 more source

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

FEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source