Representation and Inference for Open-Domain Question Answering: Strength and Limits of two Italian Semantic Lexicons

La ricerca descritta nella tesi è stata dedicata alla costruzione di un prototipo di sistema di Question Answering per la lingua italiana. Il prototipo è stato utilizzato come ambiente di valutazione dell’utilità dell’informazione codificata in due lessici semantici computazionali, ItalWordNet e SIMPLE-CLIPS. Il fine è quello di metter in evidenza ipunti di forza e ilimiti della rappresentazione dell’informazione proposta dai due lessici

Mining the News with Semantic Press

In this paper, we present Semantic Press, a tool for automatic press review based on text mining technologies and tailored to meet the requirements of eGovernment and eParticipation. The paper first provides a general description of the applicative exigencies that emerge from the eParticipation and eGovernment sectors. Then, an introduction of the general framework (the so called Linguistic Miner) for the automatic analysis and classification of textual content is provided. The core of the paper is the description of the tool for the analysis and presentation of newspapers content, its underlying technologies and final functionalities

Semantic Press

In this paper Semantic Press, a tool for the automatic press review, is introduced. It is based on Text Mining technologies and is tailored to meet the needs of the eGovernment and eParticipation communities. First, a general description of the application demands emerging from the eParticipation and eGovernment sectors is offered. Then, an introduction to the framework of the automatic analysis and classification of newspaper content is provided, together with a description of the technologies underlying it

Evaluation of Natural Language Tools for Italian: EVALITA 2007

EVALITA 2007, the first edition of the initiative devoted to the evaluation of Natural Language Processing tools for Italian, provided a shared framework where participants? systems had the possibility to be evaluated on five different tasks, namely Part of Speech Tagging (organised by the University of Bologna), Parsing (organised by the University of Torino), Word Sense Disambiguation (organised by CNR-ILC, Pisa), Temporal Expression Recognition and Normalization (organised by CELCT, Trento), and Named Entity Recognition (organised by FBK, Trento). We believe that the diffusion of shared tasks and shared evaluation practices is a crucial step towards the development of resources and tools for Natural Language Processing. Experiences of this kind, in fact, are a valuable contribution to the validation of existing models and data, allowing for consistent comparisons among approaches and among representation schemes. The good response obtained by EVALITA, both in the number of participants and in the quality of results, showed that pursuing such goals is feasible not only for English, but also for other languages

ItalWordNet v.2

ItalWordNet (IWN) is a lexical-semantic database developed in the framework of two different research projects: EuroWordNet (EWN) and Sistema Integrato per il Trattamento Automatico del Linguaggio (SI-TAL). IWN is structured in the same way as the Princeton WordNet, namely around the notion of synset. Following the model designed in EWN, IWN encodes a rich set of semantic relations. In addition to the internal language relations, equivalence relations were also encoded between Italian synsets and the closest concepts in an Inter-Lingual Index (ILI), a separate language-independent module containing all WN1.5 synsets but not the relations among them. IWN now contains information about Italian Nouns, Verbs, Adjectives and Adverbs. This SQL version of IWN v2.0 contains a corrected and revised version of the original IWN: 49350 Synsets (of which: 3459 proper nouns, 32073 nominal, 8903 verbal, 4374 adjectival, 541 adverbial) 48416 Lemmas (of which: 3918 proper nouns, 29527 nouns, 8015 verbs, 5808 adjectives, 1090 adverbs) 68478 Sense