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Actes de la conférence Traitement Automatique de la Langue Naturelle, TALN 2018

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TLDR
This article presents an information extraction method which collects additional information on the web so as to enrich already existing information and then fill in a knowledge base using lexical and syntactical patterns.
Abstract
Relation pattern extraction and information extraction from the web. This article presents an information extraction method which collects additional information on the web so as to enrich already existing information and then fill in a knowledge base. Our method is based on lexical and syntactical patterns, both used as search queries and extraction patterns to allow the analysis of unstructured documents. To do so, we first defined relevant criteria coming from the analysis phase so as to ease the discovery of new values. MOTS-CLES : Construction de patrons, extraction d’information, extraction d’entités nommées, syntaxe en dépendances, apprentissage de patrons d’extraction, web comme corpus.

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How to Do Things With Words

Csr Young

Synthesis Lectures on Human Language Technologies

TL;DR: This book gives a comprehensive view of state-of-the-art techniques that are used to build spoken dialogue systems and presents dialogue modelling and system development issues relevant in both academic and industrial environments and also discusses requirements and challenges for advanced interaction management and future research.
References
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Proceedings ArticleDOI

Simplifying Lexical Simplification: Do We Need Simplified Corpora?

TL;DR: This work presents an unsupervised approach to lexical simplification that makes use of the most recent word vector representations and requires only regular corpora, and is as effective as systems that rely on simplified corpora.
Proceedings ArticleDOI

It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool

TL;DR: A comparative analysis of ten leading statistical dependency parsers on a multi-genre corpus of English is presented, and a new web-based tool is developed that gives a convenient way of comparing dependency parser outputs.
Journal ArticleDOI

A study of the effects of preprocessing strategies on sentiment analysis for Arabic text

TL;DR: Results show that the selection of preprocessing strategies on the reviews increases the performance of the classifiers, and the effects of the characteristics of the dataset on sentiment analysis were analysed.
Journal ArticleDOI

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

TL;DR: The Flickr30k Entities dataset as mentioned in this paper augments the 158k captions with 244k coreference chains, linking mentions of the same entities across different captions for the same image and associating them with 276k manually annotated bounding boxes.
Proceedings ArticleDOI

Illinois-LH: A Denotational and Distributional Approach to Semantics

TL;DR: This paper describes and analyzes the SemEval 2014 Task 1 system, which features are based on distributional and denotational similarities; word alignment; negation; and hypernym/hyponym, synonym, and antonym relations.