PRICAI 2014: Trends in Artificial Intelligence
13th Pacific Rim International Conference on Artificial Intelligence, Gold Coast, QLD, Australia, December 1-5, 2014. Proceedings
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10 Result(s)
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Chapter and Conference Paper
Question Difficulty Estimation with Directional Modality Association in Video Question Answering
The questions in question-answering (QA) tasks have a different level of difficulty. Thus, a number of methods have been proposed to estimate a difficulty level of the questions. However, the existing methods ...
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Chapter and Conference Paper
Robust Sentence Classification by Solving Out-of-Vocabulary Problem with Auxiliary Word Predictor
In recent years, deep learning methods have achieved outstanding performances in sentence classification
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Chapter and Conference Paper
A Generative Deep Learning for Generating Korean Abbreviations
An abbreviation is a short form of a sequence of words or phrases. Abbreviations have been widely used as an efficient way of communicating within a human community, and nowadays they are used more widely and ...
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Book and Conference Proceedings
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Chapter and Conference Paper
Detection of Error-Prone Cases for Word Sense Disambiguation
Word sense disambiguation (WSD) is essential for natural language understanding applications such as machine translation, question & answering, and natural language interface, since the performance of such app...
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Chapter and Conference Paper
Keyword Extraction from Dialogue Sentences Using Semantic and Topical Relatedness
Dialogue reflects interests of the participants at that moment. Thus, it is desirable to extract keywords from each dialogue sentence as soon as they are spoken, because the keywords from dialogue can be used ...
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Chapter and Conference Paper
A Two-Step Zero Pronoun Resolution by Reducing Candidate Cardinality
The high cardinality of antecedent candidates is one of the major reasons which make zero pronoun resolution difficult. To improve performance, it is necessary to reduce this cardinality before defining the fe...
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Chapter and Conference Paper
Expanding Knowledge Source with Ontology Alignment for Augmented Cognition
Augmented cognition on sensory data requires knowledge sources to expand the abilities of human senses. Ontologies are one of the most suitable knowledge sources, since they are designed to represent human kno...
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Chapter and Conference Paper
Co** with Distribution Change in the Same Domain Using Similarity-Based Instance Weighting
Lexicons are considered as the most crucial features in natural language processing (NLP), and thus often used in machine learning algorithms applied to NLP tasks. However, due to the diversity of lexical spac...
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Chapter and Conference Paper
Vehicle Color Classification Based on the Support Vector Machine Method
We present a vehicle color classification method from outdoor vehicle images. Although the vehicle color recognition is important especially for the newest applications including ITS (intelligent transportatio...
