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A Domain Independent Semantic Measure for Keyword Sense Disambiguation

María G. Buey, Carlos Bobed, Jorge Gracia, Eduardo Mena
2021 Zenodo  
Our approach grounds on a semantic relatedness measure between words and concepts, and explores different disambiguation algorithms to study the contribution of both word and sentence-level representations  ...  Understanding the user's intention is crucial for many tasks that involve human-machine interaction. To that end, word sense disambiguation (WSD) techniques play an important role.  ...  ACKNOWLEDGMENTS This work has been supported by the European Union's Horizon 2020 projects Lynx (grant agreement No 780602) and Prêt-à-LLOD (grant agrement No 825182), and by Spanish national projects  ... 
doi:10.5281/zenodo.4631684 fatcat:vdu3jzuzonfvzejc4dwewepkwy

Querying the web

Jorge Gracia, Raquel Trillo, Mauricio Espinoza, Eduardo Mena
2006 Proceedings of the 6th international conference on Web engineering - ICWE '06  
This method applies an iterative disambiguation algorithm that uses a semantic relatedness measure based on Google frequencies.  ...  The proposed method processes a set of related keywords in order to discover and extract their implicit semantics, obtaining their most suitable senses according to their context.  ...  It prevents to cross semantic measures among all the senses of different keywords in the disambiguation of a single keyword.  ... 
doi:10.1145/1145581.1145630 dblp:conf/icwe/GraciaTEM06 fatcat:a76knvmxubdyxmcdp3rroipuly

Semantic Heterogeneity Issues on the Web

Jorge Gracia, Eduardo Mena
2012 IEEE Internet Computing  
The authors' ontology matching, clustering, and disambiguation techniques aim to bridge the gap between syntax and semantics for Semantic Web construction.  ...  Their approach discovers and represents the intended meaning of words in Web applications in a nonredundant way, while considering the context in which those words appear.  ...  Semantic measures, in the Web's highly dynamic context, should be defined independent of their final application.  ... 
doi:10.1109/mic.2012.116 fatcat:jcgs5qatcjgg3eatv6nhqlw65a

Semantic Relatedness for Keyword Disambiguation: Exploiting Different Embeddings [article]

María G. Buey and Carlos Bobed and Jorge Gracia and Eduardo Mena
2020 arXiv   pre-print
In this paper, we propose an approach to keyword disambiguation which grounds on a semantic relatedness between words and senses provided by an external inventory (ontology) that is not known at training  ...  Building on previous works, we present a semantic relatedness measure that uses word embeddings, and explore different disambiguation algorithms to also exploit both word and sentence representations.  ...  In [15] , the authors provide a keyword disambiguation algorithm that uses the semantic relatedness measure defined in [14] to find the appropriate sense for keywords.  ... 
arXiv:2002.11023v1 fatcat:uzyyqmimonbyhd5qx4sfwqso5i

Dealing with Semantic Heterogeneity Issues on the Web

Jorge Gracia, Eduardo Mena
2011 IEEE Internet Computing  
Our work is intended to help bridge the gap between syntax and semantics for the Semantic Web construction.  ...  For tackling these issues, we present an approach to discover and represent, in a non-redundant way, the intended meaning of words in Web applications, while taking into account the (often unstructured  ...  The output of this process is a set of candidate senses that describe the possible meanings of the keyword to disambiguate.  ... 
doi:10.1109/mic.2011.129 fatcat:535zztwiljculfzv77inwnrqxm

Ontology-based faceted semantic search with automatic sense disambiguation for bioenergy domain

Pathmeswaran Raju, Lynsey Melville, Craig Chapman, Feroz Farazi
2018 International Journal of Big Data Intelligence  
To overcome this issue, this paper proposes a sense disambiguation methodology that uses bioenergy domain related ontologies (extracted from WordNet automatically), WordNet concept hierarchy and term sense  ...  This paper presents our facet-enabled WordNet powered semantic search work done in the context of the bioenergy domain.  ...  For example, the term France appears in the following two domains: organism (a topic domain maintains the writer sense) and France (a region domain maintains the country sense).  ... 
doi:10.1504/ijbdi.2018.10008142 fatcat:rgil4yo5uzdq7gonqgyrueoclu

Using semantic techniques to access web data

Raquel Trillo, Laura Po, Sergio Ilarri, Sonia Bergamaschi, Eduardo Mena
2011 Information Systems  
In this paper, we propose a set of semantics techniques to group the results provided by a traditional search engine into categories defined by the different meanings of the input keywords.  ...  Besides, results with different meanings are mixed up, which makes the task of finding the relevant information difficult for the users, especially if the user-intended meanings behind the input keywords  ...  Acknowledgements This paper is the result of a joint work started during Raquel Trillo' We would like to thank Arantza Illarramendi and Serena Sorrentino for their valuable comments and support.  ... 
doi:10.1016/j.is.2010.06.008 fatcat:2u6ce6pivfebbabxgjd5q7je7q

Concept Based Information Retrieval from Text Documents

Ms.D Subarani
2012 IOSR Journal of Computer Engineering  
The Word Sense Disambiguation is the process of finding correct senses of a word, among other senses associated with the words.  ...  This system tries to provide additional semantics as conceptually related words with the help of glosses to the query words and keywords in the documents by disambiguating their meanings.  ...  If there is ambiguity, the algorithm aims to pick out the most semantically correct sense by using additional domain dependent information for disambiguation.  ... 
doi:10.9790/0661-0243848 fatcat:j6vm7fzy6jcllahjvxkoy2qb7q

Cross-Language Personalization through a Semantic Content-Based Recommender System [chapter]

Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pierpaolo Basile, Giovanni Semeraro
2010 Lecture Notes in Computer Science  
The proposed strategy relies on a knowledge-based word sense disambiguation technique that exploits MultiWordNet as sense inventory.  ...  text representation based on keywords, to a more advanced language-independent representation based on word meanings.  ...  The word-concept association is perform by META, which implements a Word Sense Disambiguation (WSD) algorithm, called JIGSAW.  ... 
doi:10.1007/978-3-642-15431-7_6 fatcat:jvmqoxm5vncbfihgm5k6qbdada

Semantic Disambiguation in Folksonomy: A Case Study [chapter]

Pierre Andrews, Juan Pane, Ilya Zaihrayeu
2011 Lecture Notes in Computer Science  
However, due to the syntactic nature of the underlying model, these systems have been criticised for not being able to take into account the explicit semantics implicitly encoded by the users in each tag  ...  to the proposed model; c) report on the results of such a conversion on the example of a del.icio.us dataset; and d) show how the quality of search can be improved by the semantic in the converted dataset  ...  We would also like to thank Sergey Kanshin for his contribution to the development of a system used for the evaluation.  ... 
doi:10.1007/978-3-642-23160-5_8 fatcat:exovcsj6nrfxtkac5dptmg3uyq

Semantic document engineering with WordNet and PageRank

Paul Tarau, Rada Mihalcea, Elizabeth Figa
2005 Proceedings of the 2005 ACM symposium on Applied computing - SAC '05  
By combining a fast Javabased PageRank implementation with a Prolog base inferential layer, running on top of an optimized WordNet graph, we describe applications to word sense disambiguation and evaluate  ...  top-level ontologies to word sense disambiguation, document summarization and text-mining.  ...  Since no a-priori semantic information is available for the words in a text, we start with the assumption that every possible sense of a word is a potentially correct sense, and therefore all senses for  ... 
doi:10.1145/1066677.1066855 dblp:conf/sac/TarauMF05 fatcat:u5sumrl26jainostcik62to43e

Context for semantic metadata

Kenneth Haase
2004 Proceedings of the 12th annual ACM international conference on Multimedia - MULTIMEDIA '04  
In particular, we consider both the abstract measurement of "contextual ambiguity" over the collection and the application of a particular disambiguation algorithm to synthesized keyword searches across  ...  This article argues for the growing importance of quality metadata and the equation of that quality with precision and semantic grounding.  ...  We can get a rough sense of this by repeating the analysis we did above, but limiting possible contextual cues to cues that might be easily measured.  ... 
doi:10.1145/1027527.1027574 dblp:conf/mm/Haase04 fatcat:j6oy5abm6bh7xjf4oq6ubodjx4

Ontology Learning Using Word Net Lexical Expansion and Text Mining [chapter]

Hiep Luong, Susan Gauch, Qiang Wang
2012 Theory and Applications for Advanced Text Mining  
Acknowledgements This research is partially supported by the NSF grant DBI-0445752: Semi-Automated Construction of an Ontology for Amphibian Morphology.  ...  Build a reference hypernym tree for each word sense as a reference source for semantic similarity disambiguation. 3.  ...  However, not all of the senses for a given word are relevant so we need to disambiguate the semantic similarity of these senses to choose the closest and most correct one for our amphibian domain.  ... 
doi:10.5772/51141 fatcat:jyexzkdkfjgqvkqe4lf6ytra74

Automatic Concept Extraction in Semantic Summarization Process [chapter]

Antonella Carbonaro
2012 Advances in Knowledge Representation  
In order to substitute keywords with univocal concepts we have to build a process called Word Sense Disambiguation (WSD).  ...  Therefore, the semantic Web vision can potentially benefit from most of the abovementioned applications, as it inherently needs domain-oriented and unrestricted sense disambiguation to deal with the semantics  ...  , structured, visual and ontological models of knowledge representation, as well as detailed descriptions of applications to various domains, such as semantic representation and extraction, intelligent  ... 
doi:10.5772/37160 fatcat:wcuqgupgbfeyrmdmw56nlpykfi

Lexical Disambiguation (CKBD): A Tool to Identify and Resolve Semantic Conflicts Using Context Knowledge

Said Al Tahat, Kamsuriah Ahmad
2019 International Journal on Advanced Science, Engineering and Information Technology  
The CKBD is obtained by integrating two pieces of context knowledge: semantic domain and more frequency used into a disambiguation processor.  ...  Semantic ambiguity problem means the capability of being understood in two or more possible senses.  ...  Phase 3: Context Selection Given a target keyword to disambiguate TW, disambiguation context is defined based on tags.  ... 
doi:10.18517/ijaseit.9.1.6387 fatcat:4ohfaxuuvnhzjludyniseyo6zu
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