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1 - 9 of 9
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 A pitfall and solution in multi-class feature selection for text classification
Forman G. Machine learning (Twenty-first International Conference on Machine Learning, Banff, Alberta, Canada, Jul 4-8, 2004) 2004. Type: Proceedings
Text classification (also known as categorization) is the task of filing, given a predefined set of classes, textual documents, under the class (or classes) in which they belong, based on an analysis of the documents’ content...
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Oct 12 2004 |
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RCV1: A New Benchmark Collection for Text Categorization Research
Lewis D., Yang Y., Rose T., Li F. The Journal of Machine Learning Research 5361-397, 2004. Type: Article
Reuters-21578 is a familiar name to information retrieval (IR) researchers, since it denotes the standard benchmark of research in text categorization (TC), the subfield of IR concerned with the classification of textual documents into...
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Aug 6 2004 |
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Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002
Allan J., Aslam J., Belkin N., Buckley C., Callan J., Croft B., Dumais S., Fuhr N., Harman D., Harper D., Hiemstra D., Hofmann T., Hovy E., Kraaij W., Lafferty J., Lavrenko V., Lewis D., Liddy L., Manmatha R., McCallum A., Ponte J., Prager J., Radev D., Resnik P., Robertson S., Rosenfeld R., Roukos S., Sanderson M., Schwartz R., Singhal A., Smeaton A., Turtle H., Voorhees E., Weischedel R., Xu J., Zhai C. ACM SIGIR Forum 37(1): 31-47, 2003. Type: Article
In the last ten years, information retrieval (IR) has evolved from a niche field into an important and multifaceted discipline, and has produced measurable results that affect the daily life of millions. No less important, its theoreti...
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Jan 23 2004 |
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Automated categorization in the international patent classification
Fall C., Törcsvári A., Benzineb K., Karetka G. ACM SIGIR Forum 37(1): 10-25, 2003. Type: Article
The availability of standard benchmarks (also known as test collections) is a key factor in the progress of disciplines such as information retrieval, which are heavily based on the experimental method. Text categorization (TC), the su...
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Nov 25 2003 |
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Analyses for elucidating current question answering technology
Light M., Mann G., Riloff E., Breck E. Natural Language Engineering 7(4): 325-342, 2002. Type: Article
Question answering (Q/A) is the discipline concerned with building software systems that respond to natural language questions asked by a user, by extracting the answers from a corpus of unstructured texts. Interactions may include sim...
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Nov 20 2003 |
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A Comparison of Word- and Sense-Based Text Categorization Using Several Classification Algorithms
Kehagias A., Petridis V., Kaburlasos V., Fragkou P. Journal of Intelligent Information Systems 21(3): 227-247, 2003. Type: Article
The relationship between information retrieval (IR) and natural language processing (NLP) is historically a tormented one, especially where applications of the latter to the former are concerned. Ever since the late 1960s, which witnes...
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Nov 18 2003 |
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Automatically categorizing written texts by author gender
Koppel M., Argamon S., Shimoni A. Literary and Linguistic Computing 17(4): 2002. Type: Article
Automated text categorization is the process of automatically building software systems that classify texts into a set of predefined categories. This is accomplished by inductively learning the characteristics of these categories from ...
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Oct 3 2003 |
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A Memory-Based Approach to Anti-Spam Filtering for Mailing Lists
Sakkis G., Androutsopoulos I., Paliouras G., Karkaletsis V., Spyropoulos C., Stamatopoulos P. Information Retrieval 6(1): 49-73, 2003. Type: Article
A principled way to tackle junk email (or “spam”) filtering is by using techniques from text categorization (TC), the task of automatically building software systems (text classifiers) capable of filing documents un...
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Jul 8 2003 |
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Intelligent multimedia information retrieval
Maybury M., MIT Press, Cambridge, MA, 1997. Type: Book (9780262631792)
Multimedia information retrieval is now more of a Holy Grail than a reality. Large amounts of information are available electronically in various non-textual forms, such as graphics, images, spoken or non-spoken audio, animations, and ...
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Jun 1 1998 |
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