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Evaluating WordNet-based Measures of Lexical Semantic Relatedness

Alexander Budanitsky, Graeme Hirst
2006 Computational Linguistics  
The quantification of lexical semantic relatedness has many applications in NLP, and many different measures have been proposed.  ...  We evaluate five of these measures, all of which use WordNet as their central resource, by comparing their performance in detecting and correcting real-word spelling errors.  ...  Conclusion Our goal in this paper has been to evaluate resource-based measures of lexical semantic distance, or, equivalently, semantic relatedness, for use in natural language processing applications.  ... 
doi:10.1162/coli.2006.32.1.13 fatcat:2yl3wkgme5dd5a6ykirmh6dq5u

Evaluating WordNet-based Measures of Lexical Semantic Relatedness

Alexander Budanitsky, Graeme Hirst
2006 Computational Linguistics  
The quantification of lexical semantic relatedness has many applications in NLP, and many different measures have been proposed.  ...  We evaluate five of these measures, all of which use WordNet as their central resource, by comparing their performance in detecting and correcting real-word spelling errors.  ...  Conclusion Our goal in this paper has been to evaluate resource-based measures of lexical semantic distance, or, equivalently, semantic relatedness, for use in natural language processing applications.  ... 
doi:10.1162/089120106776173093 fatcat:n7xadbp3xbdqnkw3fjr3yruo64

Paraphrase detection using semantic relatedness based on Synset Shortest Path in WordNet

Jun Choi Lee, Yu-N Cheah
2016 2016 International Conference On Advanced Informatics: Concepts, Theory And Application (ICAICTA)  
The performance of the proposed semantic relatedness in paraphrasing is evaluated based on the accuracy and F-measures of the proposed measures in identifying paraphrase in Microsoft Research Paraphrase  ...  Thus the distance between two synsets in WordNet can be used to measure the semantic relatedness between two synsets.  ...  This study presents a semantic relatedness measure that based on Synset Shortest Path in WordNet for paraphrase detection.  ... 
doi:10.1109/icaicta.2016.7803127 fatcat:ugjfoctxgbeljefvoh4cyeoyl4

Integration of Linguistic Resources for Verb Classification: FrameNet Frame, WordNet Verb and Suggested Upper Merged Ontology [chapter]

Ian C. Chow, Jonathan J. Webster
2007 Lecture Notes in Computer Science  
The generated verb list is furthered examined with WordNet::Similarity, a semantic similarity and relatedness measuring system.  ...  The work described in this paper was originally motivated by the construction of a lexical semantic knowledge base for analysis of Ideational Metafunction of language in Systemic Functional Grammar and  ...  Under an evaluation based on semantic relatedness, the work shed lights on the role of statistical distribution analysis in mapping between linguistic knowledge base and ontology.  ... 
doi:10.1007/978-3-540-70939-8_1 fatcat:7icnv6m62zen7e3gs7lemete2u

Tools for exploring GermaNet in the context of cl-teaching [chapter]

Irene Cramer, Marc Finthammer
2008 Text Resources and Lexical Knowledge  
Word nets, such as Princeton WordNet or GermaNet, are resources organizing a (more or less extensive) fraction of the vocabulary of a language according to lexical semantic relations.  ...  We argue that the GUI-based access to word nets, which can be regarded as a fundamental resource in CL and NLP, enhances the students' understanding of basic lexical semantic concepts, computational semantics  ...  We found that this function is especially useful for evaluating the performance of semantic measures with regard to a given task.  ... 
doi:10.1515/9783110211818.3.195 fatcat:nedi54b25rhbdh3vm4btlum574

Knowledge-Based Semantic Relatedness measure using Semantic features

Ali Muttaleb Hasan
2020 International Journal of Advanced Trends in Computer Science and Engineering  
In the knowledge-based measures, a hierarchy model is used to measure the relatedness between words based on only the taxonomical features extracted from a provided lexical source.  ...  The semantic knowledge that will be used throughout of this research is extracted from English WordNet 3.1.  ...  To introduce the proposed method for semantic representation based on the lexical and semantical features of the well-known knowledge source (called WordNet 3.1).  ... 
doi:10.30534/ijatcse/2020/02922020 fatcat:dynug7wu7zcnnn6q4mws77zpwm

An Approach to Measuring Semantic Relatedness of Geographic Terminologies Using a Thesaurus and Lexical Database Sources

Zugang Chen, Jia Song, Yaping Yang
2018 ISPRS International Journal of Geo-Information  
In this article, we combined the generic lexical database (WordNet or HowNet) with the Thesaurus for Geographic Science and proposed a thesaurus-lexical relatedness measure (TLRM) to compute the semantic  ...  This measure quantified the relationship between terminologies, interlinked the discrete term trees by using the generic lexical database, and realized the semantic relatedness computation of any two terminologies  ...  They gave substantial contributions to the design and analysis of this work and to the critical review of the article. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi7030098 fatcat:4vn4zylcprd3dejcnlcfkyra6u

Combining Word Embedding and Lexical Database for Semantic Relatedness Measurement

Yang-Yin Lee, Hao Ke, Hen-Hsen Huang, Hsin-Hsi Chen
2016 Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion  
In this paper, a novel approach that linearly combines Word2Vec and GloVe with the lexical database WordNet is proposed for measuring semantic relatedness.  ...  While many traditional studies on semantic relatedness utilize the lexical databases, such as WordNet 1 or Wikitionary 2 , the recent word embedding learning approaches demonstrate their abilities to capture  ...  To overcome the drawbacks of the aforementioned models, we adopt a lexical database to aid the semantic relatedness measurement. In the experiments, WordNet is selected as our lexical database.  ... 
doi:10.1145/2872518.2889395 dblp:conf/www/LeeKHC16a fatcat:cquvrdufdngkxbqlkwqgbln65y

Measuring Word Semantic Relatedness Using WordNet-Based Approach

Tingting Wei, Huiyou Chang
2015 Journal of Computers  
Many measures have been proposed to achieve the best expression possible for the degree of semantic relatedness of words.  ...  In recent years the measures based on WordNet have shown its talents and attracted great concern.  ...  Many measures have been proposed to achieve the best expression possible for the degree of semantic relatedness of words based on WordNet.  ... 
doi:10.17706/jcp.10.4.252-259 fatcat:se3uyfjctff3vlo2osemvv5hhi

Scalable Semantic Annotation of Text Using Lexical and Web Resources [chapter]

Elias Zavitsanos, George Tsatsaronis, Iraklis Varlamis, Georgios Paliouras
2010 Lecture Notes in Computer Science  
The method comprises a novel combination of measures of semantic relatedness and word sense disambiguation techniques, in order to identify the most related ontology concepts for the document.  ...  In this paper we are dealing with the task of adding domainspecific semantic tags to a document, based solely on the domain ontology and generic lexical and Web resources.  ...  The proposed method consists of a novel combination of measures of semantic relatedness and word sense disambiguation techniques, in order to identify the most related ontology concepts for a given document  ... 
doi:10.1007/978-3-642-12842-4_32 fatcat:psidkkvpe5dapm35ocp5cefnpm

Text Relatedness Based on a Word Thesaurus

G. Tsatsaronis, I. Varlamis, M. Vazirgiannis
2010 The Journal of Artificial Intelligence Research  
Without doubt, a measure of relatedness between text segments must take into account both the lexical and the semantic relatedness between words.  ...  Based on this approach, we introduce Omiotis, a new measure of semantic relatedness between texts which capitalizes on the word-to-word semantic relatedness measure (SR) and extends it to measure the relatedness  ...  Acknowledgments Part of this work was done while George Tsatsaronis was at the Department of Informatics of Athens University of Economics and Business.  ... 
doi:10.1613/jair.2880 fatcat:6e7gthhwg5elxmr7ne66p7qoee

Knowledge Derived From Wikipedia For Computing Semantic Relatedness

S. P. Ponzetto, M. Strube
2007 The Journal of Artificial Intelligence Research  
Wikipedia provides a semantic network for computing semantic relatedness in a more structured fashion than a search engine and with more coverage than WordNet.  ...  Existing relatedness measures perform better using Wikipedia than a baseline given by Google counts, and we show that Wikipedia outperforms WordNet on some datasets.  ...  Extended gloss overlap as a measure of semantic relatedness. In Proceedings of the 18th International Joint Conference on Artificial Intelligence, Acapulco, References  ... 
doi:10.1613/jair.2308 fatcat:idzadhf375e6zeoivpzzbu3vum

Word Sense Disambiguation for XML Structure Feature Generation [chapter]

Andrea Tagarelli, Mario Longo, Sergio Greco
2009 Lecture Notes in Computer Science  
The proposed approach exploits conceptual relations provided by a lexical ontology such as WordNet and employs different notions of sense relatedness.  ...  In this paper, we study how to map structure information available from XML elements into semantically related concepts in order to support the generation of XML semantic features of XML structural type  ...  The second idea is to define a notion of sense relatedness which is evaluated with respect to WordNet by applying an ontology-path-based similarity measure (e.g., [12] ).  ... 
doi:10.1007/978-3-642-02121-3_14 fatcat:nf6oiuudvvfc7pdhupfpz5ajey

Measuring taxonomic relationships in ontologies using lexical semantic relatedness

Fang Wu, Zhao Lu, Yu Yan, Junzhong Gu
2009 2009 Second International Conference on the Applications of Digital Information and Web Technologies  
In this paper, we propose a new measure framework for evaluating taxonomy relationships in ontologies using lexical semantic relatedness.  ...  First, we suggest a new quantitative measure model for WordNet, the model can be used to compute the semantic relatedness of concepts in ontologies.  ...  To reach this goal based on research of semantic relatedness, we suggest a new quantitative measure model for WordNet.  ... 
doi:10.1109/icadiwt.2009.5273860 fatcat:qitzyw3zrfevtaoc2iu7pin3jm

Wisdom of crowds versus wisdom of linguists – measuring the semantic relatedness of words

TORSTEN ZESCH, IRYNA GUREVYCH
2009 Natural Language Engineering  
For the first time, we employ a vector based measure of semantic relatedness, relying on a concept space built from documents, to the first paragraph of Wikipedia articles, to English WordNet glosses,  ...  The article discusses benefits and drawbacks of different approaches to evaluating semantic relatedness.  ...  Giuseppe Pirro and Nuno Seco kindly provided the data based on their repetition of the Rubenstein & Goodenough experiment. Dongqiang Yang kindly provided the human judgments for the verb dataset.  ... 
doi:10.1017/s1351324909990167 fatcat:vzrscho7tbddrpebtzx5t43qua
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