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Titlebook: Human-Inspired Computing and its Applications; 13th Mexican Interna Alexander Gelbukh,Félix Castro Espinoza,Sofía N. G Conference proceedin

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發(fā)表于 2025-3-21 16:12:50 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Human-Inspired Computing and its Applications
副標(biāo)題13th Mexican Interna
編輯Alexander Gelbukh,Félix Castro Espinoza,Sofía N. G
視頻videohttp://file.papertrans.cn/430/429772/429772.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Human-Inspired Computing and its Applications; 13th Mexican Interna Alexander Gelbukh,Félix Castro Espinoza,Sofía N. G Conference proceedin
描述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.
出版日期Conference proceedings 2014
關(guān)鍵詞affective computing; autonomous agents; biometrics; computer vision; distributed systems; evolutionary co
版次1
doihttps://doi.org/10.1007/978-3-319-13647-9
isbn_softcover978-3-319-13646-2
isbn_ebook978-3-319-13647-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
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Complete Syntactic N-grams as Style Markers for Authorship Attributionmarkers. Syntactic n-grams are obtained by following paths in subtrees of a syntactic tree. We work with relatively short text fragments and build authors’ profiles of various sizes using tf-idf scheme. We train SVM classifier to perform the task. We compare the method with the application of charac
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Extracting Frame-Like Structures from Google Books NGram Datasetanother thesaurus for a particular language. We evaluated the method for Russian ngrams. Due to a huge amount of available data the method does not require sophisticated natural language processing techniques (e.g. for word sense disambiguation), and it shows a promising result.
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Modeling Natural Language Metaphors with an Answer Set Programming Frameworkformal philosophers such as Searle and Lakoff claim that the semantic analysis of expressions that involve fictional stories and metaphors are examples of the inadequacy of using predicate logic for the analysis of the meaning of language. D’Hanis proposes that using predicate logic in combination o
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LSA Based Approach to Domain Detectiononcerned with the capability of portability that a linguistic tool is able to display. Since a linguistic tool is commonly developed for a specific domain, to make use of the tool with a different domain decrease its performance. In this way, determining the homogeneity of the implicated corpora is
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Extraction of Semantic Relations from Opinion Reviews in Spanishcquisition to accurately characterize the domain of interest. We analyzed the application of unsupervised methods for ontology building using a collection of opinion reviews in Spanish and the Web. We present some results and discuss the obtained relations.
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發(fā)表于 2025-3-23 06:46:59 | 只看該作者
Evaluating Polarity for Verbal Phraseological Unitsnits are phrases made up of two or more words characterized for presenting certain degree of fixation or idiomaticity (at least one of these words is a verb that plays the role of the predicate)..Phraseological units do not appear so frequently in manually constructed lexical resources as they do in
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