Human-Inspired Computing and its Applications

1. Front Matter

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2. Natural Language Processing

   1. Finding the Most Frequent Sense of a Word by the Length of Its Definition

      • Hiram Calvo, Alexander Gelbukh

      Pages 1-8

   2. Complete Syntactic N-grams as Style Markers for Authorship Attribution

      • Juan-Pablo Posadas-Duran, Grigori Sidorov, Ildar Batyrshin

      Pages 9-17

   3. Extracting Frame-Like Structures from Google Books NGram Dataset

      • Vladimir Ivanov

      Pages 18-27

   4. Modeling Natural Language Metaphors with an Answer Set Programming Framework

      • Juan Carlos Acosta-Guadarrama, Rogelio Dávila-Pérez, Mauricio Osorio, Victor Hugo Zaldivar

      Pages 28-36

   5. Whole-Part Relations Rule-Based Automatic Identification: Issues from Fine-Grained Error Analysis

      • Ilia Markov, Nuno Mamede, Jorge Baptista

      Pages 37-50

   6. Statistical Recognition of References in Czech Court Decisions

      • Vincent Kríž, Barbora Hladká, Jan Dědek, Martin Nečaský

      Pages 51-61

   7. LSA Based Approach to Domain Detection

      • Diego Uribe

      Pages 62-69

3. Natural Language Processing Applications

   1. Best Student Paper Award

      1. Novel Unsupervised Features for Czech Multi-label Document Classification

         • Tomáš Brychcín, Pavel Král

         Pages 70-79

      2. Feature Selection Based on Sampling and C4.5 Algorithm to Improve the Quality of Text Classification Using Naïve Bayes

         • Viviana Molano, Carlos Cobos, Martha Mendoza, Enrique Herrera-Viedma, Milos Manic

         Pages 80-91

      3. Detailed Description of the Development of a MOOC in the Topic of Statistical Machine Translation

         • Marta R. Costa-jussà, Lluís Formiga, Jordi Petit, José A. R. Fonollosa

         Pages 92-98

      4. NEBEL: Never-Ending Bilingual Equivalent Learner

         • Thiago Lima Vieira, Helena de Medeiros Caseli

         Pages 99-103

      5. RI for IR: Capturing Term Contexts Using Random Indexing for Comprehensive Information Retrieval

         • Rajendra Prasath, Sudeshna Sarkar, Philip O’Reilly

         Pages 104-112

      6. Data Extraction Using NLP Techniques and Its Transformation to Linked Data

         • Vincent Kríž, Barbora Hladká, Martin Nečaský, Tomáš Knap

         Pages 113-124

      7. A New Memetic Algorithm for Multi-document Summarization Based on CHC Algorithm and Greedy Search

         • Martha Mendoza, Carlos Cobos, Elizabeth León, Manuel Lozano, Francisco Rodríguez, Enrique Herrera-Viedma

         Pages 125-138

      8. How Predictive Is Tense for Language Profiency? A Cautionary Tale

         • Alexandra Panagiotopoulos, Sabine Bergler

         Pages 139-150

      9. Evaluating Term-Expansion for Unsupervised Image Annotation

         • Luis Pellegrin, Hugo Jair Escalante, Manuel Montes-y-Gómez

         Pages 151-162

4. Opinion Mining, Sentiment Analysis, and Social Network Applications

   1. Gender Differences in Deceivers Writing Style

      • Verónica Pérez-Rosas, Rada Mihalcea

      Pages 163-174

   2. Extraction of Semantic Relations from Opinion Reviews in Spanish

      • Sofía N. Galicia-Haro, Alexander Gelbukh

      Pages 175-190

   3. Evaluating Polarity for Verbal Phraseological Units

      • Priego Sánchez Belém, David Pinto, Salah Mejri

      Pages 191-200

The two-volume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, held in Tuxtla, Mexico, in November 2014. The total of 87 papers plus 1 invited talk presented in these proceedings were carefully reviewed and selected from 348 submissions. The first volume deals with advances in human-inspired computing and its applications. It contains 44 papers structured into seven sections: natural language processing, natural language processing applications, opinion mining, sentiment analysis, and social network applications, computer vision, image processing, logic, reasoning, and multi-agent systems, and intelligent tutoring systems. The second volume deals with advances in nature-inspired computation and machine learning and contains also 44 papers structured into eight sections: genetic and evolutionary algorithms, neural networks, machine learning, machine learning applications to audio and text, data mining, fuzzy logic, robotics, planning, and scheduling, and biomedical applications.

• affective computing
• autonomous agents
• biometrics
• computer vision
• distributed systems
• evolutionary computation
• fuzzy logic
• genetic algorithms
• image enhancement
• information retrieval
• linguistics
• memetic algorithms
• multi-agent systems
• neural networks
• object detection
• ontology design
• optimization problems
• pattern recognition
• recommender system
• speech recognition

• Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico City, Mexico

  Alexander Gelbukh

• Área Académica de Computación y Electrónica, Carretera Pachuca-Tulancingo, Universidad Autónoma del Estado de Hidalgo, Hidalgo, Mexico

  Félix Castro Espinoza

• Facultad de ciencias, Universidad Autónoma Nacional de México, México DF, Mexico

  Sofía N. Galicia-Haro

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