Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding. [PDF]
PeerJ Comput Sci, 2022 A textual data processing task that involves the automatic extraction of relevant and salient keyphrases from a document that expresses all the important concepts of the document is called keyphrase extraction.
Sarwar TB, Noor NM, Saef Ullah Miah M.
europepmc +3 more sources
Discovering Lexical Similarity Using Articulatory Feature-Based Phonetic Edit Distance [PDF]
IEEE Access, 2022 Lexical Similarity (LS) between two languages uncovers many interesting linguistic insights such as phylogenetic relationship, mutual intelligibility, common etymology, and loan words. There are various methods through which LS is evaluated.
Tafseer Ahmed +3 more
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Lexical semantic content, not syntactic structure, is the main contributor to ANN-brain similarity of fMRI responses in the language network [PDF]
bioRxiv, 2023 Representations from artificial neural network (ANN) language models have been shown to predict human brain activity in the language network. To understand what aspects of linguistic stimuli contribute to ANN-to-brain similarity, we used an fMRI dataset ...
Carina Kauf +4 more
semanticscholar +2 more sources
Evaluating lexical similarity and modeling discrepancies in the procedure hierarchy of SNOMED CT. [PDF]
BMC Med Inform Decis Mak, 2018 BackgroundSNOMED CT is a standardized and comprehensive clinical terminology that is used in Electronic Health Records to capture, store and access clinical data of patients.
Agrawal A.
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Journal of Experimental Child Psychology, 2019 Using a picture-auditory word recognition task, we examined how early child bilinguals access their languages and how the languages affect one another. Accuracy and response times in "false friends" (i.e., words with similar form but unrelated meanings ...
Valentina Persici +3 more
semanticscholar +3 more sources
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Crosslingual Lexical Semantic Similarity [PDF]
Computational Linguistics, 2020 We introduce Multi-SimLex, a large-scale lexical resource and evaluation benchmark covering data sets for 12 typologically diverse languages, including major languages (e.g., Mandarin Chinese, Spanish, Russian) as well as less-resourced ones (e.g., Welsh,
Ivan Vulić +11 more
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Lexical Semantic Similarity Algorithm Based on How-net [PDF]
Jisuanji gongcheng, 2018 On the study of lexical similarity,sememe similarity and concept similarity,this paper propose a sememe similarity computation algorithm based on the How-net semantic tree.This algorithm considers the node distance,the node depth and the number of ...
MA Yongqi,HAN Depei,MENG Lirong,YU Jie,CHENG Zheng
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Operationalizing language-based population stratification for widening access to precision genomics in Africa [PDF]
Frontiers in Public HealthBackgroundDespite remarkable advancements in genomic technologies, individuals of predominant African-related genetic similarity remain significantly under-represented, accounting for only 2.4% of published genome-wide association studies. This disparity
Benard W. Kulohoma +1 more
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A Structural-Lexical Measure of Semantic Similarity for Geo-Knowledge Graphs
ISPRS International Journal of Geo-Information, 2015 Graphs have become ubiquitous structures to encode geographic knowledge online. The Semantic Web’s linked open data, folksonomies, wiki websites and open gazetteers can be seen as geo-knowledge graphs, that is labeled graphs whose vertices represent ...
Andrea Ballatore +2 more
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UWB at SemEval-2016 Task 1: Semantic Textual Similarity using Lexical, Syntactic, and Semantic Information [PDF]
International Workshop on Semantic Evaluation, 2016 We present our UWB system for Semantic Textual Similarity (STS) task at SemEval 2016. Given two sentences, the system estimates the degree of their semantic similarity.
Tomas Brychcin, Lukás Svoboda
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