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Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents., , , , , , , , , and . CoRR, (2020)SegaBERT: Pre-training of Segment-aware BERT for Language Understanding., , , , , , and . CoRR, (2020)Counterfactual Review-based Recommendation., , , , , , , and . CIKM, page 2231-2240. ACM, (2021)Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering., , , and . EMNLP (Findings), page 274-287. Association for Computational Linguistics, (2021)Dense Video Captioning for Incomplete Videos., , , and . ICANN (5), volume 12895 of Lecture Notes in Computer Science, page 665-676. Springer, (2021)Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering., , , , , and . CoRR, (2019)Question Classification by Approximating Semantics., , , , , , , and . WWW (Companion Volume), page 407-417. ACM, (2015)Distant Supervision for Multi-Stage Fine-Tuning in Retrieval-Based Question Answering., , , , , , , and . WWW, page 2934-2940. ACM / IW3C2, (2020)End-to-End Open-Domain Question Answering with BERTserini., , , , , , , and . NAACL-HLT (Demonstrations), page 72-77. Association for Computational Linguistics, (2019)Approximate Nearest Neighbor Search and Lightweight Dense Vector Reranking in Multi-Stage Retrieval Architectures., , , , , , , and . ICTIR, page 97-100. ACM, (2020)