1,721,104 research outputs found
La Révolution française entre histoire et politique. Mouvement populaire et pouvoir révolutionnaire dans l'élaboration de l'historiographie de gauche, russe et française, de la Révolution française
No full textSimi Maria. La Révolution française entre histoire et politique. Mouvement populaire et pouvoir révolutionnaire dans l'élaboration de l'historiographie de gauche, russe et française, de la Révolution française. In: Annales historiques de la Révolution française, n°303, 1996. pp. 139-143
Extracting Dependency Relations for Opinion Mining
No full textIntent mining is a special kind of document analysis whose goal is to assess the attitude of the document author with respect to a given subject. Opinion mining is a kind of intent mining where the attitude is a positive or negative opinion. Techniques based on extracting dependency relations have proven more effective for intent mining than traditional bag-of-word approaches. We propose an approach to opinion mining which uses frequent dependency sub-trees as features for classifying documents and extracting opinions. We developed an efficient multi-language dependency parser to analyze documents and extracting dependency relations which can be used on large scale collections. An opinion retrieval system has been built and is being tested on the TREC 2006 Blog Opinion task
Blog Mining Through Opinionated Words
No full textIntent mining is a special kind of document analysis whose goal is to assess the attitude of the document author with respect to a given subject.
Opinion mining is a kind of intent mining where the attitude is a positive or negative opinion.
Most systems tackle the problem with a two step approach, an information retrieval followed by a postprocess or filter phase to identify opinionated blogs. We explored a single stage approach to opinion mining, retrieving opinionated documents ranked with a special ranking function which exploits an index enriched with opinion tags. A set of subjective words are used as tags for identifying opinionated sentences. Subjective words are marked as “opinionated” and are used in the retrieval phase to boost the rank of
documents containing them. In indexing the collection, we recovered the relevant content from the blog permalink pages, exploiting HTML metadata about the generator and heuristics to remove irrelevant parts from the body. The index also contains information about the occurrence of opinionated words, extracted from an analysis of WordNet glosses. The experiments compared the
precision of normal queries with respect to queries which included as constraint the
proximity to an opinionated word. The results show a significant improvement in precision for both topic relevance and opinion relevance
DeSR at the Evalita Dependency Parsing Task
No full textDeSR is a multilingual deterministic shift/reduce depen- dency parser, capable of handling non-projective depen- dencies incrementally. It learns from annotated corpora the actions to use for building the parse trees. For the Evalita task DesR used a second-order multiclass avera- ged perceptron classifier as a learning algorithm
Beni culturali e ambienti virtuali: sfide e problemi di un passato a tre dimensioni
No full textThe article makes some account of the experiences of interdisciplinary research in the field of 3D modeling of historical buildings and provides an analysis of open problems.
L'articolo rende conto di alcune esperienze di ricerca interdisciplinari nel campo della modellazione 3D degli edifici storici e fa un'analisi delle problematiche aperte
Overview of the EVALITA 2009 Part-of-Speech Tagging Task
No full textWe report on the Evalita 2009 PoS Tagging task, an initiative for the evaluation of automatic PoS Taggers for Italian. The challenge of this year’ task consisted in dealing with a large tag set, including morphological traits, and the fact that the training data were extracted from a newspapers corpus while the test data were from a different domain, the Italian Wikipedia. Considering these difficulties, the performance of the participating systems is quite high, compared with state of the art taggers for other languages, with small differences in accuracy between the systems
Feeding memes: a verbal communication challenge
Full text linkFeeding memes is a verbal communication challenge for use in collaborative museum visits supported by mobile devices. It is presented in the form of a game, where each player is given the task of feeding bits of culture (memes) to a meme-hungry pet living in his|her portable device. We discuss the design of the game, the background technology, the technical challenges, the expected benefits of developing and experimenting with the game. A preliminary web prototype is in progress in a roadmap towards the final deployment in a mobile scenario
Overview of the Evalita 2009 POS Tagging Task
No full textWe report on the Evalita 2009 PoS Tagging task, an initiative for the evaluation of automatic PoS Taggers for Italian. The challenge of this year’ task consisted in dealing with a large tag set, including morphological traits, and the fact that the training data were extracted from a newspapers corpus while the test data were from a different domain, the Italian Wikipedia. Considering these difficulties, the performance of the participating systems is quite high, compared with state of the art taggers for other languages, with small differences in accuracy between the system
Reflections about reflection
Full text linkIn the line of a syntactic treatment of modalities, many proposals have been
presented consisting in an extension of a logic calculus with ameta-language
for expressing facts about terms and sentences, and with an axiomatization of
provability. These proposals differ in the use of the inference rules used
to link the object level and meta-level theories; the formulation of these
reflection rules is crucial since it affects the consistency of the extended
calculus. We argue that reflection rules resulting in a conservative extension
are too weak. On the other hand, well known results show that nonconservative extensions often run into paradoxes. We propose a non conservative extension where useful theorems can be proved while consistency is retained
Viewpoints subsume beliefs, truth and situations
No full textA formal notion of viewpoint, relying on an extension of first order predicate calculus with an axiomatization of provability and reflection rules, is presented. The extension is not conservative and it is, in our intention, the best we can do if we care about consistency. Viewpoints are defined as set of sentences at the meta-level. The paper investigates to what extent notions such as belief, knowledge, truth and situations can be uniformly modeled as provability in “specialized viewpoints”, obtained by imposing suitable constraints on viewpoints
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