Famida Hamid
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Fahmida Hamid

Assistant Professor

My major areas of interest are Information Retrieval and Natural Language Processing. I have modeled an unsupervised sentiment-oriented summary extraction technique from a single document, proposed a generic baseline for evaluating automatic summary (and keyphrase) extractiona lgorithms, and devised a relativized scale for evaluating machine generated summaries with respect to multiple reference summaries. Keyphrase extraction from scientific articles, topic based sentiment lexicon generation, designing an augmented question-answering system are the few tracks I am currently working on.

Education and Degrees

Ph.D. in computer science and engineering, University of North Texas.
B.S., M.S. in computer science and engineering, University of Bangladesh.

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