This book is a collection of papers by leading researchers in computational semantics. It presents a state-of-the-art overview of recent and current research in computational semantics, including descriptions of new methods for constructing and improving resources for semantic computation, such as WordNet, VerbNet, and semantically annotated corpora. It also presents new statistical methods in semantic computation, such as the application of distributional semantics in the compositional calculation of sentence meanings. Computing the meaning of sentences, texts, and spoken or texted dialogue is the ultimate challenge in natural language processing, and the key to a wide range of exciting applications. The breadth and depth of coverage of this book makes it suitable as a reference and overview of the state of the field for researchers in Computational Linguistics, Semantics, Computer Science, Cognitive Science, and Artificial Intelligence. ​

This book is a collection of papers by leading researchers in computational semantics. It presents a state-of-the-art overview of recent and current research in computational semantics, including descriptions of new methods for constructing and improving resources for semantic computation, such as WordNet, VerbNet, and semantically annotated corpora. It also presents new statistical methods in semantic computation, such as the application of distributional semantics in the compositional calculation of sentence meanings. Computing the meaning of sentences, texts, and spoken or texted dialogue is the ultimate challenge in natural language processing, and the key to a wide range of exciting applications. The breadth and depth of coverage of this book makes it suitable as a reference and overview of the state of the field for researchers in Computational Linguistics, Semantics, Computer Science, Cognitive Science, and Artificial Intelligence. "

Research in robust open-domain text processing has seen considerable progress in the last couple of decades. It is probably fair to say that language technology tools have reached satisfactory performance at the level of syntactic processing. Therefore, it is timelier than ever to consider deep semantic processing as a serious task in wide-coverage natural language processing. This is a step that requires the integration of syntactic parsing, named entity recognition, anaphora resolution, thematic role labelling, word sense disambiguation with fine-grained semantic analysis. Accurate automatic semantic interpretation of text will benefit newly emerging sub-areas such as affectivity and sentiment analysis of texts, textual entailment, and consistency checking, and applications such as automated question answering, summarisation, and machine translation. This volume addresses these ambitions by presenting a collection of papers presented at the first workshop on the Semantics in Text Processing (STEP 2008), held in Venice from 22 to 24 September 2008. It is divided into three parts: (1) regular papers describing new results and completed research; (2) reports and descriptions of state-of-the-art systems that participated in the shared task on comparing semantic representations; and (3) short papers addressing ongoing work, novel techniques, or project descriptions. This is the first volume in \textit{Research in Computational Semantics} series launched by College Publications. Computational semantics is a relatively new interdisciplinary area in natural language processing, focusing on developing techniques to automate the interpretation of spoken and written natural language. It is an exciting area combining linguistic insight, logical reasoning, and knowledge engineering using both symbolic and statistical techniques to achieve robust and scalable methods for processing human languages.

Prolog est un langage de programmation tout a fait original. -Prolog- est l'abreviation de -Programmation logique-, et le lien qu'il entretient avec la logique est ce qui lui donne sa specificite. Au coeur de Prolog, reside une idee surprenante: ne pas dire a l'ordinateur ce qu'il doit faire, mais lui decrire des situations, et lui faire faire des calculs en lui posant des questions. Prolog deduira alors logiquement de nouveaux faits concernant les situations, et donnera en reponse ses deductions. Pourquoi apprendre Prolog ? Tout d'abord, l'aspect -dis-moi quel est ton probleme au lieu de me dire comment le resoudre- de son approche en fait un langage de tres haut niveau, adapte aux applications riches en connaissances comme l'intelligence artificielle, la linguistique informatique, ou le web semantique. En etudiant Prolog, on arrive a une meilleure comprehension de la facon dont des taches sophistiquees peuvent etre effectuees informatiquement. De plus, Prolog demande un etat d'esprit different: il nous apprend a penser declarativement au lieu de proceduralement. Acquerir cette facon de reflechir et apprendre a apprecier les liens entre la logique et la programmation font de l'apprentissage de Prolog a la fois un challenge et une recompense. Prolog tout de suite est une traduction de Learn Prolog Now ). Gratuitement accessible en ligne depuis 2001 (www.learnprolognow.org), le texte anglais est devenu l'une des introductions a la programmation en Prolog les plus populaires, grace a sa clarte et son approche resolument concrete. Il est tres largement utilise comme manuel dans les universites du monde entier, et encore plus largement comme support d'auto-formation. College publications est fier de proposer la traduction francaise de ce classique du web. Preparee avec soin, et grace aux remarques des lecteurs de la version anglaise, cette traduction ne presente que les implantations de Prolog compatibles avec la norme ISO. Elle presente aussi le systeme de modules de Prolog, et fournit toutes les reponses aux exercices. Que vous appreniez Prolog pour elargir votre comprehension de la logique et de l'informatique, ou pour vous ouvrir les portes de la riche litterature sur Prolog et le Traitement Automatique des Langues, vous trouverez certainement ici tout ce que vous souhaitiez pour apprendre Prolog... tout de suite

How can computers distinguish the coherent from the unintelligible, recognize new information in a sentence, or draw inferences from a natural language passage? Computational semantics is an exciting new field that seeks answers to these questions, and this volume is the first textbook wholly devoted to this growing sub discipline. The book explains the underlying theoretical issues and fundamental techniques for computing semantic representations for fragments of natural language. This volume will be an essential text for computer scientists, linguists, and anyone interested in the development of computational semantics.