A survey on textual entailment based question answering
Journal of King Saud University - Computer and Information Sciences, 2022 Question answering, an information retrieval system that seeks knowledge, is one of the classic applications in Natural Language Processing. A question answering system comprises numerous sets of subtasks.
Aarthi Paramasivam, S. Jaya Nirmala
exaly +3 more sources
SNLI Indo: A recognizing textual entailment dataset in Indonesian derived from the Stanford Natural Language Inference dataset [PDF]
Data in BriefRecognizing textual entailment (RTE) is an essential task in natural language processing (NLP). It is the task of determining the inference relationship between text fragments (premise and hypothesis), of which the inference relationship is either ...
I Made Suwija Putra +2 more
doaj +2 more sources
Recognizing Textual Entailment: Challenges in the Portuguese Language
Information (Switzerland), 2018 Recognizing textual entailment comprises the task of determining semantic entailment relations between text fragments. A text fragment entails another text fragment if, from the meaning of the former, one can infer the meaning of the latter.
Gil Rocha +2 more
exaly +3 more sources
The geometry of meaning: evaluating sentence embeddings from diverse transformer-based models for natural language inference [PDF]
PeerJ Computer ScienceNatural language inference (NLI) is a fundamental task in natural language processing that focuses on determining the relationship between pairs of sentences. In this article, we present a simple and straightforward approach to evaluate the effectiveness
Mohammed Alsuhaibani
doaj +3 more sources
Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: Comparative Analysis and Validation Study [PDF]
JMIR Medical InformaticsBackgroundThe presence of stigmatizing language within electronic health records (EHRs) poses significant risks to patient care by perpetuating biases.
Hongbo Chen, Myrtede Alfred, Eldan Cohen
doaj +2 more sources
Textual Entailment by Generality
Procedia, Social and Behavioral Sciences, 2011 AbstractTextual Entailment consists in determining if an entailment relation exists between two texts. In this paper, we present an Informative Asymmetric Measure called the Asymmetric InfoSimba (AIS), which we combine with different asym-metric association measures to recognize the specific case of Textual Entailment by Generality.
Gael Dias +2 more
exaly +2 more sources
Recognizing textual entailment: A review of resources, approaches, applications, and challenges
ICT ExpressThe review aims to examine the current state of recognizing textual entailment (RTE) research and summarize the state-of-the-art methods in the development of natural language processing (NLP) applications, the various approaches, datasets, and future ...
Daniel Siahaan, I Made Suwija Putra
exaly +3 more sources
Chinese Textual Entailment Recognition Fused with External Semantic Knowledge [PDF]
Jisuanji gongcheng, 2021 The textual entailment recognition model based on neural network learns inference knowledge only from training data,which leads to the weak generalization ability of the model.This paper proposes a Chinese Knowledge Enhanced Inference Model(CKEIM) fused ...
LI Shibao, LI He, ZHAO Qingshuai, YIN Lele, LIU Jianhang, HUANG Tingpei
doaj +1 more source
Proposed Method for Note Detection and Automatic Identification of the Melody Models (Gusheh) in Iranian Traditional Music with Micro Approach [PDF]
مدیریت مهندسی و رایانش نرم, 2020 One of the most common problems with computer networks is the amount of information in these networks. Meanwhile searching and getting inform about content of textual document, as the most widespread forms of information on such networks, is difficult ...
Amir Vafaeian +4 more
doaj +1 more source
Query-Based Extractive Multi-Document Summarization Using Paraphrasing and Textual Entailment [PDF]
مدیریت مهندسی و رایانش نرم, 2020 One of the most common problems with computer networks is the amount of information in these networks. Meanwhile searching and getting inform about content of textual document, as the most widespread forms of information on such networks, is difficult ...
Ali Naserasadi
doaj +1 more source