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A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering., , , , , и . EMNLP (Findings), стр. 4798-4808. Association for Computational Linguistics, (2021)A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus., и . COLING, стр. 1113-1120. (2008)Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization., , , , и . CoRR, (2024)Fine-grainedly Synthesize Streaming Data Based On Large Language Models With Graph Structure Understanding For Data Sparsity., , , и . CoRR, (2024)Self-training from labeled features for sentiment analysis., и . Information Processing & Management, 47 (4): 606-616 (2011)EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification., , , , , и . EMNLP, стр. 13377-13392. Association for Computational Linguistics, (2023)TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition., , и . LREC/COLING, стр. 15698-15710. ELRA and ICCL, (2024)Named Entity Aware Transfer Learning for Biomedical Factoid Question Answering., , , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (4): 2365-2376 (2022)ATM: Adversarial-neural Topic Model., , и . Inf. Process. Manag., (2019)Unsupervised latent event representation learning and storyline extraction from news articles based on neural networks., , и . Intell. Data Anal., 25 (3): 589-603 (2021)