Title: Advances in natural language processing
Description: Advances in Natural Language Processing: 4th International Conference, EsTAL 2004, Alicante, Spain, October 20-22, 2004. Proceedings<br />Author: José Luis Vicedo, Patricio Martínez-Barco, Rafael Muńoz, Maximiliano Saiz Noeda<br /> Published by Springer Berlin Heidelberg<br /> ISBN: 978-3-540-23498-2<br /> DOI: 10.1007/b101638<br /><br />Table of Contents:<p></p><ul><li>Adaptive Selection of Base Classifiers in One-Against-All Learning for Large Multi-labeled Collections
</li><li>Automatic Acquisition of Transfer Rules from Translation Examples
</li><li>Automatic Assessment of Open Ended Questions with a Bleu-Inspired Algorithm and Shallow NLP
</li><li>Automatic Phonetic Alignment and Its Confidence Measures
</li><li>Automatic Spelling Correction in Galician
</li><li>Baseline Methods for Automatic Disambiguation of Abbreviations in Jewish Law Documents
</li><li>Bayes Decision Rules and Confidence Measures for Statistical Machine Translation
</li><li>Character Identification in Children Stories
</li><li>Comparison and Evaluation of Two Approaches of a Multilayered QA System Applied to Temporality
</li><li>The Contents and Structure of the Context Base, and Its Application
</li><li>Developing a Minimalist Parser for Free Word Order Languages with Discontinuous Constituency
</li><li>Developing Competitive HMM PoS Taggers Using Small Training Corpora
</li><li>Exploring the Use of Target-Language Information to Train the Part-of-Speech Tagger of Machine Translation Systems
</li><li>Expressive Power and Consistency Properties of State-of-the-Art Natural Language Parsers
</li><li>An Independent Domain Dialogue System Through a Service Manager
</li><li>Information Retrieval in Digital Theses Based on Natural Language Processing Tools
</li><li>Integrating Conceptual Density with WordNet Domains and CALD Glosses for Noun Sense Disambiguation
</li><li>Intertwining Deep Syntactic Processing and Named Entity Detection
</li><li>Language Understanding Using n-multigram Models
</li><li>Multi-label Text Classification Using Multinomial Models</li></ul>
Subjects: Natural language processing (Computer science), Congresses, Business Intelligence Tools, Enterprise Applications, Intelligence (AI) & Semantics, COMPUTERS, Computer science, Information storage and retrieval systems, Artificial intelligence, Text processing (Computer science