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SINAI at Robust WSD Task @ CLEF 2008: When WSD is a Good Idea for Information Retrieval tasks?

Fernando Javier Martínez Santiago, José M. Perea-Ortega, Miguel A. García-Cumbreras
2008 Conference and Labs of the Evaluation Forum  
This year we have participated in the first edition of Robust WSD task with the aim of investigating the performance of disambiguation tools applied to Information Retrieval (IR).  ...  The main interest of our experimentation is the characterization of queries where WSD is a useful tool. That is, which issues must be fulfilled by a query in order to apply an state-of-art WSD tool?  ...  Introduction Word Sense Disambiguation (WSD) is a traditional task into the discipline of Natural Language Processing (NLP).  ... 
dblp:conf/clef/Martinez-SantiagoPG08 fatcat:e7nix2wnxrccfjnbbsfuf5jaeu

Semantic Vectors: an Information Retrieval Scenario

Pierpaolo Basile, Annalina Caputo, Giovanni Semeraro
2010 Italian Information Retrieval Workshop  
We provide an in vivo evaluation in an Information Retrieval scenario and we compare the proposed method with another one which exploits Word Sense Disambiguation (WSD).  ...  Contrary to sense discrimination, which is the task of discriminating among different meanings (not necessarily known a priori), WSD is the task of selecting a sense for a word from a set of predefined  ...  EVALUATION The goal of the evaluation was to establish how Semantic Vectors influence the retrieval performance. The system is evaluated into the context of an Information Retrieval (IR) task.  ... 
dblp:conf/iir/BasileCS10 fatcat:fghqrhepunggdkoxjck7mze4pu

KNOW: Desarrollo de tecnologías multilingües a gran escala para la comprensión del lenguaje

Eneko Agirre, German Rigau, Irene Castellón, Laura Alonso Alemany, Lluís Padró, Montse Cuadros, Salvador Climent, Marta Coll-Florit
2009 Revista de Procesamiento de Lenguaje Natural (SEPLN)  
The acquired knowledge is being used to improve word sense disambiguation, semantic role labeling and to improve parsing, with positive results on both tasks for English.  ...  Advancing in the use of Machine Learning techniques for the resolution of semantic analysis and language understanding tasks, namely, word sense disambiguation, and semantic role labeling, approached either  ... 
dblp:journals/pdln/AgirreRCAPCCC09 fatcat:akfmo3rvm5h6lbadrsdn543d4y

An Entropy Based Method for Removing Web Query Ambiguity in Hindi Language

S.K. Dwivedi, Parul Rastogi
2008 Journal of Computer Science  
Approach: We followed entropy based selective query disambiguation approach for Hindi language information retrieval.  ...  Problem statement: WSD is core problem of many Natural Language Processing (NLP) tasks; information retrieval is one of them.  ...  CONCLUSION Human intervention in lexical query disambiguation can be an effective tool for information retrieval applications.  ... 
doi:10.3844/jcssp.2008.762.767 fatcat:gwjd5wejnfajpahoivvkaasqda

Word Sense Disambiguation in Web Content Mining Using Brill's Tagger Technique

S.K. Jayanthi, S. Prema
2011 International Journal of Computer and Electrical Engineering  
Word Sense Disambiguation (WSD) is tested and analyzed for some of the existing Information Retrieval engines like Google, Clusty, yahoo, Altavista and msnsearch using Brill's tagger, and the derived results  ...  for the IR systems recommends how to accommodate the sense information in the selected document collection.  ...  There exist many techniques that are used for word sense disambiguation. Schutze labels this task as ‗‗word sense discrimination''.  ... 
doi:10.7763/ijcee.2011.v3.341 fatcat:q4hxwg2jifcihfsyvgduwthi4i

Unsupervised Approach to Word Sense Disambiguation in Malayalam

K.P. Sruthi Sankar, P.C. Reghu Raj, V. Jayan
2016 Procedia Technology - Elsevier  
Word Sense Disambiguation (WSD) is the task of identifying the correct sense of a word in a specific context when the word has multiple meaning.  ...  Since the sense of a word depends on its context of use, disambiguation process requires the understanding of word knowledge.  ...  Bhadran V K, Associate Director, Centre for Development of Advanced Computing, for his sincere directions imparted with the project.  ... 
doi:10.1016/j.protcy.2016.05.106 fatcat:xdmg3pgokzdnnnbymmnsl5g3c4

TeamUFAL: WSD+EL as Document Retrieval

Petr Fanta, Roman Sudarikov, Ondrej Bojar
2015 Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)  
This paper describes our system for SemEval-2015 Task 13: Multilingual All-Words Sense Disambiguation and Entity Linking.  ...  We have participated with our system in the sub-task which aims at monolingual all-words disambiguation and entity linking.  ...  Conclusion We described our system for SemEval Task 13 based on information retrieval. The system performs acceptably in Named Entity Linking (NEL) but fails in Word Sense Disambiguation.  ... 
doi:10.18653/v1/s15-2059 dblp:conf/semeval/FantaSB15 fatcat:4exk37tkprcnnj2riliixhjpue

Comparison of Application Effect of Natural Language Processing Techniques for Information Retrieval
정보검색에서 자연어처리 응용효과 분석

Su Mei Xi, Young Im Cho
2012 Journal of Institute of Control Robotics and Systems  
for information retrieval precision, and the experiment results show that basic natural language processing techniques with small calculated consumption and simple implementation help a small for information  ...  In this paper, some applications of natural language processing techniques for information retrieval have been introduced, but the results are known not to be satisfied.  ...  In addition, as mentioned above, WordNet is a commonly tools used in word sense disambiguation.  ... 
doi:10.5302/j.icros.2012.18.11.1059 fatcat:3lt2jb5ndvgtfnrpefb6nzocny

Enriched Page Rank for Multilingual Word Sense Disambiguation

Diego De Cao, Roberto Basili, Matteo Luciani, Francesco Mesiano, Riccardo Rossi
2011 Italian Information Retrieval Workshop  
Word Sense Disambiguation (WSD) is an hard challenge especially for language different from english.  ...  In this paper an adaptation of the PageRank algorithm proposed for WSD using distributional information is presented.  ...  In this approach we used a policy of "one sense per discourse". The Evalita '07 all-words task 3 consists of about 4700 words to disambiguate.  ... 
dblp:conf/iir/CaoBLMR11 fatcat:tnrlg7d26zgjznlqsjmsz64hf4

Introduction to the special issue on evaluating word sense disambiguation systems

2002 Natural Language Engineering  
Assessing performance on word sense disambiguation Has system performance on Word Sense Disambiguation (WSD) reached a limit?  ...  Senseval-1, in 1998, was the first open, community-based evaluation exercise for WSD programs, and Senseval-2, in 2001, was the second.  ...  We also thank Antal van den Bosch and Ken Church for comments on previous drafts.  ... 
doi:10.1017/s1351324902002966 fatcat:4vx2mnifobbbvjloud4lbua2tq

UNIBA: Combining Distributional Semantic Models and Sense Distribution for Multilingual All-Words Sense Disambiguation and Entity Linking

Pierpaolo Basile, Annalina Caputo, Giovanni Semeraro
2015 Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)  
This paper describes the participation of the UNIBA team in the Task 13 of SemEval-2015 about Multilingual All-Words Sense Disambiguation and Entity Linking.  ...  We propose an algorithm able to disambiguate both word senses and named entities by combining the simple Lesk approach with information coming from both a distributional semantic model and usage frequency  ...  Besides the traditional difficulties of word sense disambiguation, this task requires specific methods able to tackle the challenges posed by the named entity recognition, disambiguation and linking steps  ... 
doi:10.18653/v1/s15-2061 dblp:conf/semeval/BasileCS15 fatcat:nxwlhk4tabgr3i3ryvnn3vhxga


Mohammad Hafizi Jainal, Saidah Saad, Rabiah Abdul Kadir
2021 Journal of Information System and Technology Management  
Word Sense Disambiguation (WSD) is known to have a detrimental effect on the precision of information retrieval systems, where WSD is the ability to identify the meanings of words in context.  ...  The study compared the types of methods used in case, and examined methods for tools production, tools training, and analysis of performance.  ...  Acknowledgement The authors would like to express gratitude to the National University of Malaysia (UKM) for providing the opportunity and funding under the Fundamental Research Grant Scheme code FRGS/  ... 
doi:10.35631/jistm.622001 fatcat:paq2gwuxgnel7dfxl3eaxmecyq

Query Expansion Techniques for the CLEF Bilingual Track [chapter]

Fatiha Sadat, Akira Maeda, Masatoshi Yoshikawa, Shunsuke Uemura
2002 Lecture Notes in Computer Science  
This paper evaluates the effectiveness of a query translation and disambiguation as well as expansion techniques on CLEF Collections, using SMART Information Retrieval System.  ...  We focus on the query translation, disambiguation and methods to improve the effectiveness of an information retrieval.  ...  Information Retrieval Evaluation The evaluation of the effectiveness of the French-English Information Retrieval System, was performed by using the following linguistic tools : Monolingual Corpus The  ... 
doi:10.1007/3-540-45691-0_15 fatcat:m4fhhnks7ngltpdugbfiqhq3di

Large-Scale Dependency Knowledge Acquisition and its Extrinsic Evaluation Through Word Sense Disambiguation

Ping Chen, Wei Ding, Chris Bowes, David Brown
2009 2009 21st IEEE International Conference on Tools with Artificial Intelligence  
In our experiments we adopt Word Sense Disambiguation (WSD) as the extrinsic evaluation measure.  ...  We also propose a new type of knowledge base evaluation -extrinsic evaluation, which evaluates knowledge by its impact to an external application.  ...  Several search engines provide API's for research communities to retrieve Web pages automatically. In our experiments we used Google API's to retrieve up to 1,000 Web pages for each word.  ... 
doi:10.1109/ictai.2009.12 dblp:conf/ictai/ChenDBB09 fatcat:r57hfvz6svdi5osfijkrypbzn4

A tool for extracting sense-disambiguated example sentences through user feedback

Beto Boullosa, Richard Eckart de Castilho, Alexander Geyken, Lothar Lemnitzer, Iryna Gurevych
2017 Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics  
This paper describes an application system aimed to help lexicographers in the extraction of example sentences for a given headword based on its different senses.  ...  The tool uses classification and clustering methods and incorporates user feedback to refine its results.  ...  It reflects only the author's views and the EU is not liable for any use that may be made of the information contained therein.  ... 
doi:10.18653/v1/e17-3018 dblp:conf/eacl/BoullosaCGLG17 fatcat:onied4jd3vel7fcktz3nvjh7wa
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