WorldCat Identities

Magnini, Bernardo

Overview
Works: 22 works in 75 publications in 3 languages and 935 library holdings
Genres: Conference papers and proceedings 
Roles: Editor, Other, Author, Opponent, 958
Publication Timeline
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Most widely held works by Bernardo Magnini
Evaluation of natural language and speech tools for Italian : international workshop, EVALITA 2011, Rome, January 24-25, 2012 : revised selected papers by Bernardo Magnini( )

10 editions published between 2010 and 2013 in English and held by 384 WorldCat member libraries worldwide

EVALITA (http://www.evalita.it/) is the reference evaluation campaign of both Natural Language Processing and Speech Technologies for the Italian language. The objective of the shared tasks proposed at EVALITA is to promote the development of language technologies for Italian, providing a common framework where different systems and approaches can be evaluated and compared in a consistent manner. This volume collects the final and extended contributions presented at EVALITA 2011, the third edition of the evaluation campaign. The 36 revised full papers were carefully reviewed and selected from a total of 87 submissions. The papers are organized in topical sections roughly corresponding to evaluation tasks: parsing - dependency parsing track, parsing - constituency parsing track, domain adaptation for dependency parsing, named entity recognition on transcribed broadcast news, cross-document coreference resolution of named person entities, anaphora resolution, supersense tagging, frame labeling over italian texts, lemmatisation, automatic speech recognition - large vocabulary transcription, forced alignment on spontaneous speech
AI*IA 2018 – Advances in Artificial Intelligence : XVIIth International Conference of the Italian Association for Artificial Intelligence, Trento, Italy, November 20–23, 2018, Proceedings by Associazione italiana per l'intelligenza artificiale( )

2 editions published in 2018 in English and held by 152 WorldCat member libraries worldwide

Ontology learning from text : methods, evaluation and applications by Paul Buitelaar( Book )

9 editions published between 2005 and 2007 in English and held by 105 WorldCat member libraries worldwide

This volume brings together ontology learning, knowledge acquisition and other related topics. It presents current research in ontology learning, addressing three perspectives. The first perspective looks at methodologies that have been proposed to automatically extract information from texts and to give a structured organization to such knowledge, including approaches based on machine learning techniques. Then there are evaluation methods for ontology learning, aiming at defining procedures and metrics for a quantitative evaluation of the ontology learning task; and finally application scenarios that make ontology learning a challenging area in the context of real applications such as bio-informatics. According to the three perspectives mentioned above, the book is divided into three sections, each including a selection of papers addressing respectively the methods, the applications and the evaluation of ontology learning approaches
Machine learning challenges : evaluating predictive uncertainty visual object classification and recognizing textual entailment : First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005 : revised selected papers by Joaquin Quiñonero-Candela( )

12 editions published in 2006 in English and Undetermined and held by 85 WorldCat member libraries worldwide

This book constitutes the thoroughly refereed post-proceedings of the First PASCAL (pattern analysis, statistical modelling and computational learning) Machine Learning Challenges Workshop, MLCW 2005, held in Southampton, UK in April 2005. The 25 revised full papers presented were carefully selected during two rounds of reviewing and improvement from about 50 submissions. The papers reflect the concepts of three challenges dealt with in the workshop: finding an assessment base on the uncertainty of predictions using classical statistics, Bayesian inference, and statistical learning theory; the second challenge was to recognize objects from a number of visual object classes in realistic scenes; the third challenge of recognizing textual entailment addresses semantic analysis of language to form a generic framework for applied semantic inference in text understanding
Multilingual information access for text, speech and images : revised selected papers by Cross-Language Evaluation Forum( )

8 editions published in 2005 in English and Undetermined and held by 70 WorldCat member libraries worldwide

This book constitutes the thoroughly refereed postproceedings of the 5th Workshop of the Cross-Language Evaluation Forum, CLEF 2004, held in Bath, UK in September 2004. The 80 revised papers presented together with an introduction were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on ad hoc text retrieval tracks (mainly cross-language experiments and monolingual experiments), domain-specific document retrieval, interactive cross-language information retrieval, multiple language question answering, cross-language retrieval in image collections, cross-language spoken document retrieval, and on issues in CLIR and in evaluation
Accessing multilingual information repositories : 6th Workshop of the Cross-Language Evaluation Forum, CLEF 2005, Vienna, Austria, 21 - 23 September, 2005 ; revised selected papers by Cross-Language Evaluation Forum( )

7 editions published in 2006 in English and Undetermined and held by 40 WorldCat member libraries worldwide

The sixth campaign of the Cross Language Evaluation Forum (CLEF) for European languages was held from January to September 2005. CLEF is by now an established international evaluation initiative and 74 groups from all over the world submitted results for one or more of the different evaluation tracks in 2005, compared with 54 groups in 2004. There were eight distinct evaluation tracks, designed to test the performance of a wide range of systems for multilingual information access. Full details regarding the design of the tracks, the methodologies used for evaluation, and the results obtained by the participants can be found in the different sections of these proceedings. As always the results of the campaign were reported and discussed at the annual workshop held in Vienna, Austria, September 21-23, immediately following the ninth European Conference on Digital Libraries. The workshop was attended by approximately 110 academic and industrial researchers and system developers. In addition to presentations by participants in the campaign, Noriko Kando from the National Institute of Informatics, Tokyo, gave an invited talk on the activities of the NTCIR evaluation initiative for Asian languages. Breakout sessions gave participants a chance to discuss ideas and results in detail. The final session was dedicated to proposals for activities for CLEF 2006. The presentations given at the workshop can be found on the CLEF Web site at: www. clef-campaign. org. We should like to thank the other members of the CLEF Steering Committee for their assistance in the coordination of this event
Evaluation of multilingual and multi-modal information retrieval : 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Alicante, Spain, September 20 - 22, 2006 ; revised selected papers by Cross-Language Evaluation Forum( )

9 editions published in 2007 in English and Undetermined and held by 38 WorldCat member libraries worldwide

This book constitutes the thoroughly refereed postproceedings of the 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, held in Alicante, Spain, September 20-22, 2006. The revised papers presented together with an introduction were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on Multilingual Textual Document Retrieval, Domain-Specifig Information Retrieval, i-CLEF, QA@CLEF, ImageCLEF, CLSR, WebCLEF and GeoCLEF
The Italian language in the digital age = La lingua italiana nell'era digitale by N Calzolari( Book )

1 edition published in 2012 in English and held by 25 WorldCat member libraries worldwide

"In everyday communication, Europe's citizens, business partners and politicians are inevitably confronted with language barriers. Language technology has the potential to overcome these barriers and to provide innovative interfaces to technologies and knowledge. This white paper presents the state of language technology support for the Italian language. It is part of a series that analyses the available language resources and technologies for 30 European languages. The analysis was carried out by MEDTA-NET, a Network of Excellence funded by the European Commission. META-NET consists of 54 research centres in 33 countries, who cooperate with stakeholders from economy, government agencies, research organisations, non-governmental organisations, language communities and European universities. META-NET's vision is high-quality language technology for all European languages"--Page 4 of cover
Adolescenti digitali( Book )

1 edition published in 2011 in Italian and held by 10 WorldCat member libraries worldwide

Réponses à des questions( Book )

2 editions published between 2005 and 2007 in French and held by 6 WorldCat member libraries worldwide

Evaluation of Natural Language and Speech Tools for Italian by EVALITA 2011( )

1 edition published in 2013 in English and held by 5 WorldCat member libraries worldwide

EVALITA (http://www.evalita.it/) is the reference evaluation campaign of both Natural Language Processing and Speech Technologies for the Italian language. The objective of the shared tasks proposed at EVALITA is to promote the development of language technologies for Italian, providing a common framework where different systems and approaches can be evaluated and compared in a consistent manner. This volume collects the final and extended contributions presented at EVALITA 2011, the third edition of the evaluation campaign. The 36 revised full papers were carefully reviewed and selected from a total of 87 submissions. The papers are organized in topical sections roughly corresponding to evaluation tasks: parsing - dependency parsing track, parsing - constituency parsing track, domain adaptation for dependency parsing, named entity recognition on transcribed broadcast news, cross-document coreference resolution of named person entities, anaphora resolution, supersense tagging, frame labeling over italian texts, lemmatisation, automatic speech recognition - large vocabulary transcription, forced alignment on spontaneous speech
Workshop W18 on Ontology learning and population : [towards evaluation of text-based methods in the semantic web and knowledge discovery life cycle] by European Conference on Artificial Intelligence( Book )

1 edition published in 2004 in English and held by 2 WorldCat member libraries worldwide

Proceedings of the Workshop on Topics and perspectives of natural language processing in Italy by Workshop on Topics and Perspectives of Natural Language Processing in Italy( Book )

1 edition published in 2003 in English and held by 2 WorldCat member libraries worldwide

Proceedings of the First Italian Conference on Computational Linguistics CLiC-it 2014 & and of the Fourth International Workshop EVALITA 2014 : 9-11 December 2014, Pisa by Roberto Basili( Book )

2 editions published in 2014 in English and held by 2 WorldCat member libraries worldwide

Costruzione di una base di conoscenza lessicale per l' italiano basata su WordNet by Bernardo Magnini( )

1 edition published in 1997 in Italian and held by 1 WorldCat member library worldwide

Détection et analyse d'événement dans les messages courts by Amosse Edouard( )

1 edition published in 2017 in English and held by 1 WorldCat member library worldwide

Les réseaux sociaux ont transformé le Web d'un mode lecture, où les utilisateurs pouvaient seulement consommer les informations, à un mode interactif leur permettant de les créer, partager et commenter. Un défi majeur du traitement d'information dans les médias sociaux est lié à la taille réduite des contenus, leur nature informelle et le manque d'informations contextuelles. D'un autre côté, le web contient des bases de connaissances structurées à partir de concepts d'ontologies, utilisables pour enrichir ces contenus. Cette thèse explore le potentiel d'utiliser les bases de connaissances du Web de données, afin de détecter, classifier et suivre des événements dans les médias sociaux, particulièrement Twitter. On a abordé 3 questions de recherche : i) Comment extraire et classifier les messages qui rapportent des événements ? ii) Comment identifier des événements précis ? iii) Étant donné un événement, comment construire un fil d'actualité représentant les différents sous-événements ? Les travaux de la thèse ont contribué à élaborer des méthodes pour la généralisation des entités nommées par des concepts d'ontologies pour mitiger le sur-apprentissage dans les modèles supervisés ; une adaptation de la théorie des graphes pour modéliser les relations entre les entités et les autres termes et ainsi caractériser des événements pertinents ; l'utilisation des ontologies de domaines et les bases de connaissances dédiées, pour modéliser les relations entre les caractéristiques et les acteurs des événements. Nous démontrons que l'enrichissement sémantique des entités par des informations du Web de données améliore la performance des modèles d'apprentissages supervisés et non supervisés
Textual Inference for Machine Comprehension by Martin Gleize( )

1 edition published in 2016 in English and held by 1 WorldCat member library worldwide

Étant donnée la masse toujours croissante de texte publié, la compréhension automatique des langues naturelles est à présent l'un des principaux enjeux de l'intelligence artificielle. En langue naturelle, les faits exprimés dans le texte ne sont pas nécessairement tous explicites : le lecteur humain infère les éléments manquants grâce à ses compétences linguistiques, ses connaissances de sens commun ou sur un domaine spécifique, et son expérience. Les systèmes de Traitement Automatique des Langues (TAL) ne possèdent naturellement pas ces capacités. Incapables de combler les défauts d'information du texte, ils ne peuvent donc pas le comprendre vraiment. Cette thèse porte sur ce problème et présente notre travail sur la résolution d'inférences pour la compréhension automatique de texte. Une inférence textuelle est définie comme une relation entre deux fragments de texte : un humain lisant le premier peut raisonnablement inférer que le second est vrai. Beaucoup de tâches de TAL évaluent plus ou moins directement la capacité des systèmes à reconnaître l'inférence textuelle. Au sein de cette multiplicité de l'évaluation, les inférences elles-mêmes présentent une grande variété de types. Nous nous interrogeons sur les inférences en TAL d'un point de vue théorique et présentons deux contributions répondant à ces niveaux de diversité : une tâche abstraite contextualisée qui englobe les tâches d'inférence du TAL, et une taxonomie hiérarchique des inférences textuelles en fonction de leur difficulté. La reconnaissance automatique d'inférence textuelle repose aujourd'hui presque toujours sur un modèle d'apprentissage, entraîné à l'usage de traits linguistiques variés sur un jeu d'inférences textuelles étiquetées. Cependant, les données spécifiques aux phénomènes d'inférence complexes ne sont pour le moment pas assez abondantes pour espérer apprendre automatiquement la connaissance du monde et le raisonnement de sens commun nécessaires. Les systèmes actuels se concentrent plutôt sur l'apprentissage d'alignements entre les mots de phrases reliées sémantiquement, souvent en utilisant leur structure syntaxique. Pour étendre leur connaissance du monde, ils incluent des connaissances tirées de ressources externes, ce qui améliore souvent les performances. Mais cette connaissance est souvent ajoutée par dessus les fonctionnalités existantes, et rarement bien intégrée à la structure de la phrase.Nos principales contributions dans cette thèse répondent au problème précédent. En partant de l'hypothèse qu'un lexique plus simple devrait rendre plus facile la comparaison du sens de deux phrases, nous décrivons une méthode de récupération de passage fondée sur une expansion lexicale structurée et un dictionnaire de simplifications. Cette hypothèse est testée à nouveau dans une de nos contributions sur la reconnaissance d'implication textuelle : des paraphrases syntaxiques sont extraites du dictionnaire et appliquées récursivement sur la première phrase pour la transformer en la seconde. Nous présentons ensuite une méthode d'apprentissage par noyaux de réécriture de phrases, avec une notion de types permettant d'encoder des connaissances lexico-sémantiques. Cette approche est efficace sur trois tâches : la reconnaissance de paraphrases, d'implication textuelle, et le question-réponses. Nous résolvons son problème de passage à l'échelle dans une dernière contribution. Des tests de compréhension sont utilisés pour son évaluation, sous la forme de questions à choix multiples sur des textes courts, qui permettent de tester la résolution d'inférences en contexte. Notre système est fondé sur un algorithme efficace d'édition d'arbres, et les traits extraits des séquences d'édition sont utilisés pour construire deux classifieurs pour la validation et l'invalidation des choix de réponses. Cette approche a obtenu la deuxième place du challenge "Entrance Exams" à CLEF 2015
The generalized upper model knowledge base : organization and use by J Bateman( Book )

2 editions published in 1995 in English and held by 1 WorldCat member library worldwide

 
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Ontology learning from text : methods, evaluation and applications
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Machine learning challenges : evaluating predictive uncertainty visual object classification and recognizing textual entailment : First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005 : revised selected papersMultilingual information access for text, speech and images : revised selected papersAccessing multilingual information repositories : 6th Workshop of the Cross-Language Evaluation Forum, CLEF 2005, Vienna, Austria, 21 - 23 September, 2005 ; revised selected papersEvaluation of multilingual and multi-modal information retrieval : 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Alicante, Spain, September 20 - 22, 2006 ; revised selected papers
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