Výsledky vyhledávání - "Wesley T. Chuang"

DeepQA Jeopardy! Gamification: A Machine-Learning Perspective

Autor: Zachary O. Benz, Aaron K. Baughman, Kevin R. Dixon, Justin Basilico, Wesley T. Chuang

Publikováno v: IEEE Transactions on Computational Intelligence and AI in Games. 6:55-66

DeepQA is a large-scale natural language processing (NLP) question-and-answer system that responds across a breadth of structured and unstructured data, from hundreds of analytics that are combined with over 50 models, trained through machine learnin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::90cb6af8317f5737ece2439a016ea1a6
https://doi.org/10.1109/tciaig.2013.2285651

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Extracting sentence segments for text summarization

Autor: Jihoon Yang, Wesley T. Chuang

Publikováno v: SIGIR

With the proliferation of the Internet and the huge amount of data it transfers, text summarization is becoming more important. We present an approach to the design of an automatic text summarizer that generates a summary by extracting sentence segme

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::22d01714772048be9112790334499a6f
https://doi.org/10.1145/345508.345566

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Text Summarization by Sentence Segment Extraction Using Machine Learning Algorithms

Autor: Jihoon Yang, Wesley T. Chuang

Publikováno v: Knowledge Discovery and Data Mining. Current Issues and New Applications ISBN: 9783540673828
PAKDD

We present an approach to the design of an automatic text summarizer that generates a summary by extracting sentence segments. First, sentences are broken into segments by special cue markers. Each segment is represented by a set of predefined featur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::93b002eae0dbc70bbb11c27e162a1956
https://doi.org/10.1007/3-540-45571-x_52

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A Fast Algorithm for Hierarchical Text Classification

Autor: Wesley T. Chuang, Asok Tiyyagura, Giovanni Giuffrida, Jihoon Yang

Publikováno v: Data Warehousing and Knowledge Discovery ISBN: 9783540679806
DaWaK

Text classification is becoming more important with the proliferation of the Internet and the huge amount of data it transfers. We present an efficient algorithm for text classification using hierarchical classifiers based on a concept hierarchy. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e5d517fec0b28b9a448eda5f594b97ff
https://doi.org/10.1007/3-540-44466-1_41

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