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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 Hits 1 – 19 of 19 1 Controllable Neural Dialogue Summarization with Personal Named Entity Planning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Nancy; Liu, Zhengyuan. - : Underline Science Inc., 2021 BASE Show details 2 Foreseeing the Benefits of Incidental Supervision ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Dan; He, Hangfeng. - : Underline Science Inc., 2021 BASE Show details 3 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; Hu, Vivian; Song, Xiangchen; Wang, Xuan; Xiao, Jinfeng. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.424/ Abstract: Scientific literature analysis needs fine-grained named entity recognition (NER) to provide a wide range of information for scientific discovery. For example, chemistry research needs to study dozens to hundreds of distinct, fine-grained entity types, making consistent and accurate annotation difficult even for crowds of domain experts. On the other hand, domain-specific ontologies and knowledge bases (KBs) can be easily accessed, constructed, or integrated, which makes distant supervision realistic for fine-grained chemistry NER. In distant supervision, training labels are generated by matching mentions in a document with the concepts in the knowledge bases (KBs). However, this kind of KB-matching suffers from two major challenges: incomplete annotation and noisy annotation. We propose ChemNER, an ontology-guided, distantly supervised method for fine-grained chemistry NER to tackle these challenges. It leverages the chemistry type ... Keyword: Computational Linguistics; Information Extraction; Machine Learning; Machine Learning and Data Mining; Named Entity Recognition; Natural Language Processing URL: https://underline.io/lecture/37360-chemner-fine-grained-chemistry-named-entity-recognition-with-ontology-guided-distant-supervision https://dx.doi.org/10.48448/nr6v-8309 BASE Hide details 4 MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ma, Xinyin. - : Underline Science Inc., 2021 BASE Show details 5 Towards Realistic Single-Task Continuous Learning Research for NER ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., He; Gupta, Rahul. - : Underline Science Inc., 2021 BASE Show details 6 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 7 The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Choi, Jinho; He, Han. - : Underline Science Inc., 2021 BASE Show details 8 The Development of Pre-processing Tools and Pre-trained Embedding Models for Amharic ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Seid Muhie; Ayele, Abinew Ali. - : Underline Science Inc., 2021 BASE Show details 9 Data Augmentation for Cross-Domain Named Entity Recognition ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Gustavo; Chen, Shuguang. - : Underline Science Inc., 2021 BASE Show details 10 A Bag of Tricks for Dialogue Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ballesteros, Miguel; Khalifa, Muhammad. - : Underline Science Inc., 2021 BASE Show details 11 RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gao, Wenyang; Lin, Yuchen. - : Underline Science Inc., 2021 BASE Show details 12 A Partition Filter Network for Joint Entity and Relation Extraction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Fu, Jinlan; Wei, Zhongyu. - : Underline Science Inc., 2021 BASE Show details 13 MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; O'Gorman, Tim. - : Underline Science Inc., 2021 BASE Show details 14 FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Lange, Lukas. - : Underline Science Inc., 2021 BASE Show details 15 Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bhargav, Samarth; Kanoulas, Evangelos. - : Underline Science Inc., 2021 BASE Show details 16 Batavia asked for advice. Pretrained language models for Named Entity Recognition in historical texts. ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Piek; Arnoult, Sophie. - : Underline Science Inc., 2021 BASE Show details 17 Allocating Large Vocabulary Capacity for Cross-Lingual Language Model Pre-Training ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Zheng, Bo. - : Underline Science Inc., 2021 BASE Show details 18 Using Pause Information for More Accurate Entity Recognition ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Pooja; Dendukuri, Sahas. - : Underline Science Inc., 2021 BASE Show details 19 Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gallinari, Patrick; Guigue, Vincent. - : Underline Science Inc., 2021 BASE Show details

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