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There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training.

, , , , и . CoRR, (2020)

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Sebastian Riedel

Sebastian Riedel

Sebastian Riedel

Sebastian Hasenstab-Riedel

Walter Riedel

 

Другие публикации лиц с тем же именем

Injecting Logical Background Knowledge into Embeddings for Relation Extraction, , и . NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31 - June 5, 2015, стр. 1119--1129. (2015)Lifted Rule Injection for Relation Embeddings, , и . EMNLP, (2016)How Context Affects Language Models' Factual Predictions., , , , , , и . AKBC, (2020)Few-shot Learning with Retrieval Augmented Language Models., , , , , , , , , и . CoRR, (2022)Challenges in Generalization in Open Domain Question Answering., , , и . NAACL-HLT (Findings), стр. 2014-2029. Association for Computational Linguistics, (2022)Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval., , , , , , , , , и 1 other автор(ы). ICLR, OpenReview.net, (2021)Invited Talk: Embedding Probabilistic Logic for Machine Reading.. NODALIDA, том 109 из Linköping Electronic Conference Proceedings, Linköping University Electronic Press / Association for Computational Linguistics, (2015)UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF)., , , , и . FEVER@EMNLP, стр. 97-102. Association for Computational Linguistics, (2018)Zero-Shot Transfer Learning for Event Extraction., , , , , и . ACL (1), стр. 2160-2170. Association for Computational Linguistics, (2018)Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints., , , и . ACL/IJCNLP (2), стр. 447-453. Association for Computational Linguistics, (2021)