| 000 | 05585nam a22006135i 4500 | ||
|---|---|---|---|
| 001 | 978-3-540-30228-5 | ||
| 003 | DE-He213 | ||
| 005 | 20240423132440.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 121227s2004 gw | s |||| 0|eng d | ||
| 020 |
_a9783540302285 _9978-3-540-30228-5 |
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| 024 | 7 |
_a10.1007/b101638 _2doi |
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| 050 | 4 | _aQ334-342 | |
| 050 | 4 | _aTA347.A78 | |
| 072 | 7 |
_aUYQ _2bicssc |
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| 072 | 7 |
_aCOM004000 _2bisacsh |
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| 072 | 7 |
_aUYQ _2thema |
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_a006.3 _223 |
| 245 | 1 | 0 |
_aAdvances in Natural Language Processing _h[electronic resource] : _b4th International Conference, EsTAL 2004, Alicante, Spain, October 20-22, 2004. Proceedings / _cedited by José Luis Vicedo, Particio Martínez-Barco, Rafael Munoz, Maximiliano Saiz Noeda. |
| 250 | _a1st ed. 2004. | ||
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2004. |
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| 300 |
_aXII, 496 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v3230 |
|
| 505 | 0 | _aAdaptive Selection of Base Classifiers in One-Against-All Learning for Large Multi-labeled Collections -- Automatic Acquisition of Transfer Rules from Translation Examples -- Automatic Assessment of Open Ended Questions with a Bleu-Inspired Algorithm and Shallow NLP -- Automatic Phonetic Alignment and Its Confidence Measures -- Automatic Spelling Correction in Galician -- Baseline Methods for Automatic Disambiguation of Abbreviations in Jewish Law Documents -- Bayes Decision Rules and Confidence Measures for Statistical Machine Translation -- Character Identification in Children Stories -- Comparison and Evaluation of Two Approaches of a Multilayered QA System Applied to Temporality -- The Contents and Structure of the Context Base, and Its Application -- Developing a Minimalist Parser for Free Word Order Languages with Discontinuous Constituency -- Developing Competitive HMM PoS Taggers Using Small Training Corpora -- Exploring the Use of Target-Language Information to Train the Part-of-Speech Tagger of Machine Translation Systems -- Expressive Power and Consistency Properties of State-of-the-Art Natural Language Parsers -- An Independent Domain Dialogue System Through a Service Manager -- Information Retrieval in Digital Theses Based on Natural Language Processing Tools -- Integrating Conceptual Density with WordNet Domains and CALD Glosses for Noun Sense Disambiguation -- Intertwining Deep Syntactic Processing and Named Entity Detection -- Language Understanding Using n-multigram Models -- Multi-label Text Classification Using Multinomial Models -- A Multi-use Incremental Syntax-Semantic Interface -- Multiword Expression Translation Using Generative Dependency Grammar -- Named Entity Recognition Through Corpus Transformation and System Combination -- One Size Fits All? A Simple Technique to Perform Several NLP Tasks -- Ontology-Based Feature Transformations: A Data-Driven Approach -- On the Quality of Lexical Resources for Word Sense Disambiguation -- Reuse of Free Online MT Engines to Develop a Meta-system of Multilingual Machine Translation -- Semantic-Aided Anaphora Resolution in Large Corpora Development -- SemRol: Recognition of Semantic Roles -- Significance of Syntactic Features for Word Sense Disambiguation -- SisHiTra : A Hybrid Machine Translation System from Spanish to Catalan -- Smoothing and Word Sense Disambiguation -- Spelling Correction for Search Engine Queries -- A Statistical Study of the WPT-03 Corpus -- A Study of Chunk-Based and Keyword-Based Approaches for Generating Headlines -- Suffixal and Prefixal Morpholexical Relationships of the Spanish -- SuPor: An Environment for AS of Texts in Brazilian Portuguese -- Systemic Analysis Applied to Problem Solving: The Case of the Past Participle in French -- The Merging Problem in Distributed Information Retrieval and the 2-Step RSV Merging Algorithm -- Unsupervised Training of a Finite-State Sliding-Window Part-of-Speech Tagger -- Using Seed Words to Learn to Categorize Chinese Text -- On Word Frequency Information and Negative Evidence in Naive Bayes Text Classification. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aMachine theory. | |
| 650 | 0 | _aInformation storage and retrieval systems. | |
| 650 | 0 | _aNatural language processing (Computer science). | |
| 650 | 1 | 4 | _aArtificial Intelligence. |
| 650 | 2 | 4 | _aFormal Languages and Automata Theory. |
| 650 | 2 | 4 | _aInformation Storage and Retrieval. |
| 650 | 2 | 4 | _aNatural Language Processing (NLP). |
| 700 | 1 |
_aVicedo, José Luis. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aMartínez-Barco, Particio. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aMunoz, Rafael. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aSaiz Noeda, Maximiliano. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783540234982 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783662164563 |
| 830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v3230 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/b101638 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 912 | _aZDB-2-LNC | ||
| 912 | _aZDB-2-BAE | ||
| 942 | _cSPRINGER | ||
| 999 |
_c187871 _d187871 |
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