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The Context-Dependent Additive Recurrent Neural Net.

, , , , , and . NAACL-HLT, page 1274-1283. Association for Computational Linguistics, (2018)

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Predicting segmentation errors in an iris recognition system., , and . ICB, page 23-30. IEEE, (2015)A Survey on Document-level Machine Translation: Methods and Evaluation., , and . CoRR, (2019)Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation., , , , and . CoRR, (2021)Improving Word Alignment of Rare Words with Word Embeddings., , and . COLING, page 3209-3215. ACL, (2016)Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages., , , , , and . COLING, page 1384-1395. International Committee on Computational Linguistics, (2020)Leveraging Discourse Rewards for Document-Level Neural Machine Translation., , , and . COLING, page 4467-4482. International Committee on Computational Linguistics, (2020)Efficient Benchmarking of NLP APIs using Multi-armed Bandits., , and . EACL (1), page 408-416. Association for Computational Linguistics, (2017)Active Learning for Multilingual Semantic Parser., and . EACL (Findings), page 621-627. Association for Computational Linguistics, (2023)Prepositional Attachment Disambiguation Using Bilingual Parsing and Alignments., , , and . CoRR, (2016)Analysis of Semi-Supervised Learning with the Yarowsky Algorithm, and . CoRR, (2012)