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Research Interests
My areas of expertise are in Natural Language Processing and Computational Linguistics. The long term goal of my research is to develop methods and systems that automatically discover the meaning of written text and understand
its content. To that end, I have developed techniques that (1) cluster short text snippets based on the similarity of their content, (2) discover word meanings in large corpora of text, (3) assign meanings from a dictionary to words
in running text, and (4) measure the semantic similarity and relatedness between concepts. Most recently we are applying all of these ideas to the problem of identifying hate speech in written text, with a particular focus on Islamophobia (or anti–Muslim bias).
My areas of expertise are in Natural Language Processing and Computational Linguistics. The long term goal of my research is to develop methods and systems that automatically discover the meaning of written text and understand
its content. To that end, I have developed techniques that (1) cluster short text snippets based on the similarity of their content, (2) discover word meanings in large corpora of text, (3) assign meanings from a dictionary to words
in running text, and (4) measure the semantic similarity and relatedness between concepts. Most recently we are applying all of these ideas to the problem of identifying hate speech in written text, with a particular focus on Islamophobia (or anti–Muslim bias).
研究兴趣
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International Workshop on Semantic Evaluation (SemEval )pp.1062-1066, (2022)
Anna Martin,Ted Pedersen
SemEval@ACL/IJCNLPpp.490-501, (2021)
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