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Incorporating Dialectal Variability for Socially Equitable Language Identification.

, , and . ACL (2), page 51-57. Association for Computational Linguistics, (2017)

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Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context., , , and . ACL (1), page 284-294. Association for Computational Linguistics, (2018)Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words., , , and . ACL (2), page 401-423. Association for Computational Linguistics, (2022)Towards a Computational History of the ACL: 1980-2008., , and . Discoveries@ACL, page 13-21. Association for Computational Linguistics, (2012)Generating Recommendation Dialogs by Extracting Information from User Reviews., , and . ACL (2), page 499-504. The Association for Computer Linguistics, (2013)Attention Flows are Shapley Value Explanations., and . ACL/IJCNLP (2), page 49-54. Association for Computational Linguistics, (2021)What kind of pronunciation variation is hard for triphones to model?, , , , , and . ICASSP, page 577-580. IEEE, (2001)Data Noising as Smoothing in Neural Network Language Models., , , , , , and . ICLR (Poster), OpenReview.net, (2017)Assessing the accuracy of automatic speech recognition for psychotherapy., , , , , , , , , and 2 other author(s). npj Digit. Medicine, (2020)Who should I cite: learning literature search models from citation behavior., and . CIKM, page 609-618. ACM, (2010)Multilingual self-supervised speech representations improve the speech recognition of low-resource African languages with codeswitching., , and . CoRR, (2023)