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1
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations ...
Meng, Yu; Zhang, Yunyi; Huang, Jiaxin. - : arXiv, 2022
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2
Semantic pattern discovery in open information extraction
Chauhan, Aabhas. - 2022
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3
Text mining at multiple granularity: leveraging subwords, words, phrases, and sentences
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4
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ...
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5
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision ...
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6
Generation-Augmented Retrieval for Open-Domain Question Answering ...
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7
Few-Shot Named Entity Recognition: An Empirical Baseline Study ...
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8
Reader-Guided Passage Reranking for Open-Domain Question Answering ...
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9
The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction ...
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10
Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation ...
Mao, Yuning; Ma, Wenchang; Lei, Deren. - : arXiv, 2021
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11
Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation ...
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12
Combating abuse on social media platforms using natural language processing
Seyler, Dominic. - 2021
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13
Text Classification Using Label Names Only: A Language Model Self-Training Approach ...
Meng, Yu; Zhang, Yunyi; Huang, Jiaxin. - : arXiv, 2020
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14
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation ...
Abstract: To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant biomedical knowledge in scientific literature to understand the disease mechanism and related biological functions. We have developed a novel and comprehensive knowledge discovery framework, COVID-KG to extract fine-grained multimedia knowledge elements (entities and their visual chemical structures, relations, and events) from scientific literature. We then exploit the constructed multimedia knowledge graphs (KGs) for question answering and report generation, using drug repurposing as a case study. Our framework also provides detailed contextual sentences, subfigures, and knowledge subgraphs as evidence. ... : 12 pages, Accepted by Proceedings of 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics System Demonstrations, for resources see http://blender.cs.illinois.edu/covid19/, for video see http://159.89.180.81/demo/covid/Covid-KG_DemoVideo.mp4, for slides see https://eaglew.github.io/files/Covid-KG_DemoVideo_with_ethics.pdf ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2007.00576
https://dx.doi.org/10.48550/arxiv.2007.00576
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15
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation ...
Mao, Yuning; Ren, Xiang; Ji, Heng. - : arXiv, 2020
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16
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion ...
Huang, Jiaxin; Xie, Yiqing; Meng, Yu. - : arXiv, 2020
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17
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding ...
Shen, Jiaming; Ji, Heng; Han, Jiawei. - : arXiv, 2020
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18
Cold-start universal information extraction
Huang, Lifu. - 2020
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19
Cross-lingual entity extraction and linking for 300 languages
Pan, Xiaoman. - 2020
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20
Text cube: construction, summarization and mining
Tao, Fangbo. - 2020
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