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Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors.

, , , , , and . ICLR (Poster), OpenReview.net, (2019)

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User-Driven Research of Medical Note Generation Software., , , , , , , , , and . NAACL-HLT, page 385-394. Association for Computational Linguistics, (2022)Linguistic Analysis Processing Line for Bulgarian., , , , and . LREC, page 2959-2964. European Language Resources Association (ELRA), (2012)PriMock57: A Dataset Of Primary Care Mock Consultations., , , and . ACL (2), page 588-598. Association for Computational Linguistics, (2022)Annotating patient clinical records with syntactic chunks and named entities: the Harvey Corpus., , , and . Lang. Resour. Evaluation, 50 (3): 523-548 (2016)Correlations between Word Vector Sets., , , , and . EMNLP/IJCNLP (1), page 77-87. Association for Computational Linguistics, (2019)Chunking Clinical Text Containing Non-Canonical Language., , and . BioNLP@ACL, page 77-82. Association for Computational Linguistics, (2014)A preliminary study on evaluating Consultation Notes with Post-Editing., , , and . CoRR, (2021)Correlation Coefficients and Semantic Textual Similarity., , , and . NAACL-HLT (1), page 951-962. Association for Computational Linguistics, (2019)Towards more patient friendly clinical notes through language models and ontologies., , , , , , , , , and 1 other author(s). AMIA, AMIA, (2021)Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors., , , , , and . ICLR (Poster), OpenReview.net, (2019)