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To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks., , и . RepL4NLP@ACL, стр. 7-14. Association for Computational Linguistics, (2019)LSTMs Exploit Linguistic Attributes of Data., , , , и . Rep4NLP@ACL, стр. 180-186. Association for Computational Linguistics, (2018)Deep Weighted Averaging Classifiers., , и . FAT, стр. 369-378. ACM, (2019)Word Salad: Relating Food Prices and Descriptions., , , , и . EMNLP-CoNLL, стр. 1357-1367. ACL, (2012)Neural Cross-lingual Named Entity Recognition with Minimal Resources., , , , и . EMNLP, стр. 369-379. Association for Computational Linguistics, (2018)Extractive Summarization by Maximizing Semantic Volume., , и . EMNLP, стр. 1961-1966. The Association for Computational Linguistics, (2015)Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs., , и . EMNLP, стр. 349-359. The Association for Computational Linguistics, (2015)Learning Topics and Positions from Debatepedia., , , , и . EMNLP, стр. 1858-1868. ACL, (2013)Measuring Ideological Proportions in Political Speeches., , , и . EMNLP, стр. 91-101. ACL, (2013)Finetuning Pretrained Transformers into RNNs., , , , , , , , и . EMNLP (1), стр. 10630-10643. Association for Computational Linguistics, (2021)