FrameNet
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FrameNet is an ongoing corpus-based computational lexicography research and resource development project based on the principles of Frame Semantics (Fillmore 1975, 1977, 1982, 1985). FrameNet documents the valences, or semantic and syntactic combinatorial possibilities, of English vocabulary, providing a unique training dataset for automatic semantic role labeling in natural language processing ap
08/23/2023
FrameNet congratulates Prof. Mona Diab on her appointment as Director of the Language Technology Institute in the School of Computer Science at Carnegie Mellon University...ألف مبارك يا منى
New LTI Director To Usher in 'Responsible Thinking' at CMU Mona Diab, who has been a research scientists at two of the largest tech companies in the world, takes the reins of the Language Technologies Institute this month.
07/14/2023
FrameNet thanks Dmitry Nikolaev for presenting collaborative work on adverbs at today's STARSEM poster session in Toronto
FrameNet congratulates Emily Amspoker on the acceptance of her co-authored paper (with Miriam R. L. Petruck) about the FrameGame for publication and presentation at the 4th workshop on Data Science with Human-in-the-loop (DaSH), co-located with EMNLP 2022 in Abu Dhabi.
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