Advances in Natural Language Processing

1. Front Matter

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2. Morphology, Named Entity Recognition, Term Extraction

   1. Development of Amharic Morphological Analyzer Using Memory-Based Learning

      • Mesfin Abate, Yaregal Assabie

      Pages 1-13

   2. A Finite-State Treatment of Neoclassical Compounds in Modern Greek and English

      • Evanthia Petropoulou, Eleni Galiotou, Angela Ralli

      Pages 14-26

   3. CroDeriV 2.0.: Initial Experiments

      • Krešimir Šojat, Matea Srebačić, Tin Pavelić

      Pages 27-33

   4. Named Entity Matching Method Based on the Context-Free Morphological Generator

      • Jan Kocoń, Maciej Piasecki

      Pages 34-44

   5. NER in Tweets Using Bagging and a Small Crowdsourced Dataset

      • Hege Fromreide, Anders Søgaard

      Pages 45-51

   6. Yet Another Ranking Function for Automatic Multiword Term Extraction

      • Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire

      Pages 52-64

   7. Unsupervised Keyword Extraction from Polish Legal Texts

      • Michał Jungiewicz, Michał Łopuszyński

      Pages 65-70

   8. Term Ranking Adaptation to the Domain: Genetic Algorithm-Based Optimisation of the C-Value

      • Thierry Hamon, Christopher Engström, Sergei Silvestrov

      Pages 71-83

3. Lexical Semantics

   1. Graph-Based, Supervised Machine Learning Approach to (Irregular) Polysemy in WordNet

      • Bastian Entrup

      Pages 84-91

   2. Attribute Value Acquisition through Clustering of Adjectives

      • Agnieszka Mykowiecka, Małgorzata Marciniak

      Pages 92-104

   3. Cross-Lingual Semantic Similarity Measure for Comparable Articles

      • Motaz Saad, David Langlois, Kamel Smaïli

      Pages 105-115

   4. An Integrated Approach to Automatic Synonym Detection in Turkish Corpus

      • Tuğba Yıldız, Savaş Yıldırım, Banu Diri

      Pages 116-127

   5. Distributional Context Generalisation and Normalisation as a Mean to Reduce Data Sparsity: Evaluation of Medical Corpora

      • Amandine Périnet, Thierry Hamon

      Pages 128-135

   6. A Parallel Non-negative Sparse Large Matrix Factorization

      • Anatoly Anisimov, Oleksandr Marchenko, Emil Nasirov, Stepan Palamarchuk

      Pages 136-143

4. Sentence-Level Syntax, Semantics and Machine Translation

   1. Statistical Analysis of the Interaction between Word Order and Definiteness in Polish

      • Adrian Czardybon, Oliver Hellwig, Wiebke Petersen

      Pages 144-150

   2. Stanford Typed Dependencies: Slavic Languages Application

      • Katarzyna Marszałek-Kowalewska, Anna Zaretskaya, Milan Souček

      Pages 151-163

   3. Towards a Weighted Induction Method of Dependency Annotation

      • Alina Wróblewska, Adam Przepiórkowski

      Pages 164-176

   4. Semantic and Syntactic Model of Natural Language Based on Non-negative Matrix and Tensor Factorization

      • Anatoly Anisimov, Oleksandr Marchenko, Volodymyr Taranukha, Taras Vozniuk

      Pages 177-184

   5. Experiments on the Identification of Predicate-Argument Structure in Polish

      • Konrad Gołuchowski

      Pages 185-192

This book constitutes the refereed proceedings of the 9th International Conference on Advances in Natural Language Processing, PolTAL 2014, Warsaw, Poland, in September 2014. The 27 revised full papers and 20 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers are organized in topical sections on morphology, named entity recognition, term extraction; lexical semantics; sentence level syntax, semantics, and machine translation; discourse, coreference resolution, automatic summarization, and question answering; text classification, information extraction and information retrieval; and speech processing, language modelling, and spell- and grammar-checking.

• automatic speech recognition
• automatic summarization
• computational linguistics
• coreference resolution
• information extraction
• information retrieval
• language resources
• lexical semantics
• morphological analysis
• named entity recognition
• natural language processing
• question answering
• rhetorical structure theory
• semantic processing
• speech processing
• syntactic parsing
• term extraction
• text classification
• word sense disambiguation

• Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

  Adam Przepiórkowski, Maciej Ogrodniczuk

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