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    Lisa Jin

    PhD Candidate at University of Rochester

    Lisa Jin is a PhD candidate at the University of Rochester, specializing in natural language processing (NLP), with a focus on text generation from semantic graphs and semantic parsing. Her research interests include dialogue utterance rewriting, graph path information algorithms, and clustering graph vertices into tree decompositions to enhance global graph structure encoding. Her academic work is centered on graph-to-text generation, particularly summarizing semantic graph structures, which will be the focus of her thesis.1

    Lisa earned her Bachelor's degree in Computer Science from the University of Michigan, where she worked on dynamic graph visualization. She has also gained extensive experience through roles such as Research Assistant at the University of Rochester, Research Intern at Tencent America and Lawrence Livermore National Laboratory, and Data Science Intern at the Korea Institute of Science and Technology.1

    Her contributions to NLP include publications in prestigious conferences like ACL, AAAI, and COLING, covering topics such as AMR-to-text generation and tree decomposition attention mechanisms.1

    Highlights

    Jan 1 · lisjin.github.io
    Lisa Jin
    Jan 1 · cs.rochester.edu
    PhD Degrees Conferred : About Us

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    Lisa Jin
    Lisa Jin, photo 1
    Lisa Jin, photo 2
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    Location

    Rochester, New York, United States