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个人简介
Anya’s research is in the intersection of machine learning and natural language processing (NLP) and her projects and publications span automatic language generation, text analysis, evaluation and image description. She has chaired two large-scale international research networks on computer vision and language processing, a series of summer schools on neural machine learning, and a series of international benchmarking exercises in language generation.
Her work has resulted in some of the earliest methods for statistical language generation (powering robust real-world systems, e.g. for weather forecast generation and image description for the blind), the introduction of comparative evaluation methods in language generation (enabling effective assessment of the relative benefit of methodological alternatives), integrated approaches to vision and language processing (facilitating better methods for searching, annotating, and managing image and language data), and most recently formal methods for assessing and quantifying reproducibility in NLP.
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论文共 31 篇作者统计合作学者相似作者
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WASSA@ACLpp.341-353, (2023)
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CoRR (2023)
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INLGpp.455-466, (2023)
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