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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 45 1 Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations ... Meng, Yu; Zhang, Yunyi; Huang, Jiaxin. - : arXiv, 2022 BASE Show details 2 Semantic pattern discovery in open information extraction Chauhan, Aabhas. - 2022 BASE Show details 3 Text mining at multiple granularity: leveraging subwords, words, phrases, and sentences El-Kishky, Ahmed Hassan. - 2022 BASE Show details 4 Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Han, Jiawei; Huang, Jiaxin. - : Underline Science Inc., 2021 BASE Show details 5 ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Garg, Shweta; Han, Jiawei. - : Underline Science Inc., 2021 BASE Show details 6 Generation-Augmented Retrieval for Open-Domain Question Answering ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chen, Weizhu; Gao, Jianfeng; Han, Jiawei; He, Pengcheng; Liu, Xiaodong; Mao, Yuning; Shen, Yelong. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.316 Abstract: We propose Generation-Augmented Retrieval (GAR) for answering open-domain questions, which augments a query through text generation of heuristically discovered relevant contexts without external resources as supervision. We demonstrate that the generated contexts substantially enrich the semantics of the queries and GAR with sparse representations (BM25) achieves comparable or better performance than state-of-the-art dense retrieval methods such as DPR. We show that generating diverse contexts for a query is beneficial as fusing their results consistently yields better retrieval accuracy. Moreover, as sparse and dense representations are often complementary, GAR can be easily combined with DPR to achieve even better performance. GAR achieves state-of-the-art performance on Natural Questions and TriviaQA datasets under the extractive QA setup when equipped with an extractive reader, and consistently outperforms other retrieval methods when ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://dx.doi.org/10.48448/mdn7-wx22 https://underline.io/lecture/25676-generation-augmented-retrieval-for-open-domain-question-answering BASE Hide details 7 Few-Shot Named Entity Recognition: An Empirical Baseline Study ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Balakrishnan, Shobana; Chen, Weizhu. - : Underline Science Inc., 2021 BASE Show details 8 Reader-Guided Passage Reranking for Open-Domain Question Answering ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chen, Weizhu; Gao, Jianfeng. - : Underline Science Inc., 2021 BASE Show details 9 The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cho, Kyunghyun; Han, Jiawei. - : Underline Science Inc., 2021 BASE Show details 10 Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation ... Mao, Yuning; Ma, Wenchang; Lei, Deren. - : arXiv, 2021 BASE Show details 11 Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Han, Jiawei; Mao, Yuning. - : Underline Science Inc., 2021 BASE Show details 12 Combating abuse on social media platforms using natural language processing Seyler, Dominic. - 2021 BASE Show details 13 Text Classification Using Label Names Only: A Language Model Self-Training Approach ... Meng, Yu; Zhang, Yunyi; Huang, Jiaxin. - : arXiv, 2020 BASE Show details 14 COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation ... Wang, Qingyun; Li, Manling; Wang, Xuan. - : arXiv, 2020 BASE Show details 15 Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation ... Mao, Yuning; Ren, Xiang; Ji, Heng. - : arXiv, 2020 BASE Show details 16 Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion ... Huang, Jiaxin; Xie, Yiqing; Meng, Yu. - : arXiv, 2020 BASE Show details 17 Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding ... Shen, Jiaming; Ji, Heng; Han, Jiawei. - : arXiv, 2020 BASE Show details 18 Cold-start universal information extraction Huang, Lifu. - 2020 BASE Show details 19 Cross-lingual entity extraction and linking for 300 languages Pan, Xiaoman. - 2020 BASE Show details 20 Text cube: construction, summarization and mining Tao, Fangbo. - 2020 BASE Show details Page: 1 2 3

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