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UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering.

, , , , , , , , and . NAACL-HLT (Findings), page 1535-1546. Association for Computational Linguistics, (2022)

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Simple Local Attentions Remain Competitive for Long-Context Tasks., , , , , , , and . CoRR, (2021)Domain-matched Pre-training Tasks for Dense Retrieval., , , , , , , , , and 1 other author(s). CoRR, (2021)Unified Open-Domain Question Answering with Structured and Unstructured Knowledge., , , , , , , , and . CoRR, (2020)Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?, , , , , , , , and . CoRR, (2021)SemKer: Syntactic/Semantic Kernels for Recognizing Textual Entailment., , and . TAC, NIST, (2009)Chinese Whispers: Cooperative Paraphrase Acquisition., , , , and . LREC, page 2659-2665. European Language Resources Association (ELRA), (2012)BiT: Robustly Binarized Multi-distilled Transformer., , , , , , , and . NeurIPS, (2022)Semeval-2012 Task 8: Cross-lingual Textual Entailment for Content Synchronization., , , , and . SemEval@NAACL-HLT, page 399-407. The Association for Computer Linguistics, (2012)Simple Local Attentions Remain Competitive for Long-Context Tasks., , , , , , , and . NAACL-HLT, page 1975-1986. Association for Computational Linguistics, (2022)Towards Topic Labeling with Phrase Entailment and Aggregation., , , and . HLT-NAACL, page 179-189. The Association for Computational Linguistics, (2013)