David Eduardo Pinto Avendaño
Datos generales
Nombre:
David Eduardo Pinto Avendaño
Institución:
Benemérita Universidad Autónoma de Puebla
Área:
Inteligencia artificial, robótica, procesamiento del lenguaje natural
Nivel SNII:
Nivel II
Identidades Scopus
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14833179900Pubs: 154 Citas: 1467 h: 19 i10: 31
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58673077200Pubs: 9 Citas: 9 h: 2 i10: 0
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58862800700Pubs: 1 Citas: 1 h: 1 i10: 0
Publicaciones
2013
- [C1]Determining the degree of semantic similarity using prototype vectorsTovar M.; Pinto D.; Montes A.; Vilariño D.DOIhttps://doi.org/10.1007%2F978-3-642-38989-4_37
- [C2]A question answering system for reading comprehension testsGómez-Adorno H.; Pinto D.; Vilariño D.DOIhttps://doi.org/10.1007%2F978-3-642-38989-4_36
- [A1]Classifying case relations using syntactic, semantic and contextual featuresReyes J.A.; Montes A.; González J.G.; Pinto D.E.
- [C3]Forecast of air quality based on ozone by decision trees and neural networksLoya N.; Olmos Pineda I.; Pinto D.; Gómez-Adorno H.; Alemán Y.DOIhttps://doi.org/10.1007%2F978-3-642-37807-2_9
- [A2]Analysis of short texts on the Web: Introduction to special issueRosso P.; Errecalde M.; Pinto D.DOIhttps://doi.org/10.1007%2Fs10579-013-9220-9
- [C4]Lexical-syntactic and graph-based features for authorship verification: Notebook for PAN at CLEF 2013Vilariño D.; Pinto D.; Gómez H.; León S.; Castillo E.
- [C5]BUAP: Gram based feature evaluation for the cross-lingual textual entailment taskVilariño D.; Pinto D.; León S.; Alemán Y.; Gómez-Adorno H.
- [C6]Two methodologies applied to the author profiling taskAleman Y.; Loya N.; Vilariño D.; Pinto D.
- [C7]Semantic answer validation in question answering systems for reading comprehension testsGómez-Adorno H.; Pinto D.; Vilariño D.
- [C8]Searching sexual predators in social networksAlemán Y.; Vilarĩno D.; Pinto D.
- [C9]Two Approaches for QA4MRE: Information Retrieval and Graph-based knowledge representationGómez-Adorno H.; Pinto D.; Vilariño D.
2012
- [C10]BUAP: A recursive approach to the data-centric track of INEX 2011Ayala D.V.; Pinto D.; Silverio S.L.; Castillo E.; Vidal M.T.DOIhttps://doi.org/10.1007%2F978-3-642-35734-3_14
- [C11]The soundex phonetic algorithm revisited for SMS text representationPinto D.; Vilariño D.; Alemán Y.; Gómez H.; Loya N.; Jiménez-Salazar H.DOIhttps://doi.org/10.1007%2F978-3-642-32790-2_5
- [C12]A machine-translation method for normalization of SMSVilariño D.; Pinto D.; Beltrán B.; León S.; Castillo E.; Tovar M.DOIhttps://doi.org/10.1007%2F978-3-642-31149-9_30
- [C13]Graph-based and Lexical-Syntactic Approaches for the Authorship Attribution TaskCastillo E.; Vilariño D.; Pinto D.; Olmos I.; González J.A.; Carrillo M.
- [C14]Information Retrieval and Classification based Approaches for the Sexual Predator IdentificationVilariño D.; Castillo E.; Pinto D.; Olmos I.; León S.
- [C15]BUAP: A first approximation to relational similarity measuringTovar M.; Alejandro Reyes J.; Montes A.; Vilariño D.; Pinto D.; Léon S.
- [C16]BUAP: Three approaches for semantic textual similarityCarrillo M.; Vilariño D.; Pinto D.; Tovar M.; Léon S.; Castillo E.
- [C17]BUAP: Lexical and semantic similarity for cross-lingual textual entailmentVilariño D.; Pinto D.; Tovar M.; Léon S.; Castillo E.
2011
- [C18]BUAP: A first approach to the data-centric track of INEX 2010Vilariño D.; Pinto D.; Balderas C.; Tovar M.; León S.DOIhttps://doi.org/10.1007%2F978-3-642-23577-1_19
- [C19]The BUAP participation at the web service discovery track of INEX 2010Somodevilla M.J.; Beltrán B.; Pinto D.; Vilariño D.; Aaron J.C.DOIhttps://doi.org/10.1007%2F978-3-642-23577-1_33
- [A3]Bilingual document clustering: Evaluating cognates as featuresDenicia-Carral C.; Montes-y-Gómez M.; Villaseñor-Pineda L.; Pinto-Avendaño D.
- [C20]Use of elliptic curves in term discriminationVilariño D.; Pinto D.; Balderas C.; Tovar M.; Beltrán B.; Paniagua S.DOIhttps://doi.org/10.1007%2F978-3-642-21587-2_37
- [A4]A self-enriching methodology for clustering narrow domain short textsPinto D.; Rosso P.; Jiménez-Salazar H.DOIhttps://doi.org/10.1093%2Fcomjnl%2Fbxq069
- [C21]An iterative clustering method for the XML-mining task of the INEX 2010Tovar M.; Cruz A.; Vázquez B.; Pinto D.; Vilariño D.; Montes A.DOIhttps://doi.org/10.1007%2F978-3-642-23577-1_36
- [C22]Baseline approaches for the authorship identification task notebook for PAN at CLEF 2011Vilariño D.; Castillo E.; Pinto D.; León S.; Tovar M.
- [C23]On the Difficulty of Clustering Microblog Texts for Online Reputation ManagementPerez-Tellez F.; Cardiff J.; Pinto D.; Rosso P.
2010
- [C24]A probabilistic model based on n-grams for bilingual word sense disambiguationVilariño D.; Pinto D.; Tovar M.; Balderas C.; Beltrán B.DOIhttps://doi.org/10.1007%2F978-3-642-16761-4_8
- [C25]A Naïve bayes approach to cross-lingual word sense disambiguation and lexical substitutionPinto D.; Vilariño D.; Balderas C.; Tovar M.; Beltrán B.DOIhttps://doi.org/10.1007%2F978-3-642-15992-3_37
- [C26]On the difficulty of clustering company tweetsPerez-Tellez F.; Pinto D.; Cardiff J.; Rosso P.DOIhttps://doi.org/10.1145%2F1871985.1872001
- [C27]Clustering weblogs on the basis of a topic detection methodPerez-Tellez F.; Pinto D.; Cardiff J.; Rosso P.DOIhttps://doi.org/10.1007%2F978-3-642-15992-3_36
- [C28]Using information from the target language to improve crosslingual text classificationRamírez-De-La-Rosa G.; Montes-Y-Gómez M.; Villaseñor-Pineda L.; Pinto-Avendaño D.; Solorio T.DOIhttps://doi.org/10.1007%2F978-3-642-14770-8_34
- [C29]BUAP: Performance of K-Star at the INEX'09 clustering taskPinto D.; Tovar M.; Vilariño D.; Beltrán B.; Jiménez-Salazar H.; Campos B.DOIhttps://doi.org/10.1007%2F978-3-642-14556-8_43
- [C30]Characterizing weblog corporaPerez-Tellez F.; Pinto D.; Cardiff J.; Rosso P.DOIhttps://doi.org/10.1007%2F978-3-642-12550-8_28
- [C31]On the assessment of text corporaPinto D.; Rosso P.; Jiménez-Salazar H.DOIhttps://doi.org/10.1007%2F978-3-642-12550-8_23
- [C32]Selecting the N-top retrieval result lists for an effective data fusionJuárez-González A.; Montes-y-Gómez M.; Villaseñor-Pineda L.; Pinto-Avendaño D.; Pérez-Coutiño M.DOIhttps://doi.org/10.1007%2F978-3-642-12116-6_49
- [C33]FCC: Modeling probabilities with Giza++ for task #2 and #3 of SemEval-2Vilarino D.; Balderas C.; Pinto D.; Rodriguez M.; Leon S.
- [C34]BUAP: An unsupervised approach to automatic keyphrase extraction from scientific articlesOrtiz R.; Pinto D.; Tovar M.; Jiménez-Salazar H.
2009
- [C35]The use of document fingerprinting in the Web People Search TaskPinto D.; Tovar M.; Beltrán B.; Vilariño D.; Furlog H.
- [C36]Defining and evaluating blog characteristicsPerez-Tellez F.; Pinto D.; Cardiff J.; Rosso P.DOIhttps://doi.org/10.1109%2FMICAI.2009.21
- [C37]A methodology to cluster informal language register dataPerez-Tellez F.; Pinto D.; Cardiff J.; Rosso P.
- [C38]Multi-Document summarization based on locally relevant sentencesVillatoro-Tello E.; Villaseñor-Pineda L.; Montes-y-Gómez M.; Pinto-Avendaífot D.DOIhttps://doi.org/10.1109%2FMICAI.2009.10
- [C39]Dynamic concept-based taxonomy used for image recovery based on their textual descriptionLara J.; De La Concepción Pérez De Celis M.; Pinto D.
- [C40]Improving the clustering of blogosphere with a self-term enriching techniquePerez-Tellez F.; Pinto D.; Cardiff J.; Rosso P.DOIhttps://doi.org/10.1007%2F978-3-642-04208-9_9
- [C41]Semi-supervised Word Sense Disambiguation using the web as corpusRafael G.C.; Rosso P.; Montes-y-Gómez M.; Villaseñor-Pineda L.; Pinto-Avendaño D.DOIhttps://doi.org/10.1007%2F978-3-642-00382-0_21
- [A5]A statistical approach to crosslingual natural language tasksPinto D.; Civera J.; Barrón-Cedeño A.; Juan A.; Rosso P.DOIhttps://doi.org/10.1016%2Fj.jalgor.2009.02.005
2008
- [C42]A statistical approach to crosslingual natural language tasksPinto D.; Civera J.; Juan A.; Rosso P.; Barrón-Cedeno A.
- [C43]On cross-lingual plagiarism analysis using a statistical modelBarrón-Cedeño A.; Rosso P.; Pinto D.; Juan A.
- [C44]Evaluation of internal validity measures in short-text corporaIngaramo D.; Pinto D.; Rosso P.; Errecalde M.DOIhttps://doi.org/10.1007%2F978-3-540-78135-6_48
2007
- [C45]Fuzzifying clustering algorithms: The case study of MajorClustLevner E.; Pinto D.; Rosso P.; Alcaide D.; Sharma R.R.K.DOIhttps://doi.org/10.1007%2F978-3-540-76631-5_78
Métricas generales del investigador AMPLN
- h–index: 19
- i10: 31
- Total citas: 1477
- Total publicaciones: 164
- Artículos: 60
- Conferencias: 99
- Editorial: 3
- Otros: 2
Publicaciones por año
Productividad por revista (Top 20)
- Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics: 40 publicación(es)
- Computacion Y Sistemas: 27 publicación(es)
- Ceur Workshop Proceedings: 24 publicación(es)
- Journal of Intelligent and Fuzzy Systems: 15 publicación(es)
- Communications in Computer and Information Science: 5 publicación(es)
- ACM International Conference Proceeding Series: 4 publicación(es)
- 8th International Workshop on Semantic Evaluation Semeval 2014 Co Located with the 25th International Conference on Computational Linguistics Coling 2014 Proceedings: 3 publicación(es)
- Sem 2012 1st Joint Conference on Lexical and Computational Semantics: 3 publicación(es)
- Scientometrics: 2 publicación(es)
- Acl 2010 Semeval 2010 5th International Workshop on Semantic Evaluation Proceedings: 2 publicación(es)
- 8th Mexican International Conference on Artificial Intelligence Proceedings of the Special Session Micai 2009: 2 publicación(es)
- Journal of Scientometric Research: 2 publicación(es)
- Lecture Notes in Computer Science: 2 publicación(es)
- Language Resources and Evaluation: 1 publicación(es)
- Canadian Journal of Information and Library Science: 1 publicación(es)
- Natural Language Processing: 1 publicación(es)
- Sem 2013 2nd Joint Conference on Lexical and Computational Semantics: 1 publicación(es)
- 4ta Conferencia Iberoamericana En Sistemas Cibernetica E Informatica Cisci 2005 Memorias: 1 publicación(es)
- Pattern Recognition Letters: 1 publicación(es)
- Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science: 1 publicación(es)