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Automatic Error Type Annotation for Arabic ...
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Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.810/ Abstract: We study the problem of training named entity recognition (NER) models using only distantly-labeled data, which can be automatically obtained by matching entity mentions in the raw text with entity types in a knowledge base. The biggest challenge of distantly-supervised NER is that the distant supervision may induce incomplete and noisy labels, rendering the straightforward application of supervised learning ineffective. In this paper, we propose (1) a noise-robust learning scheme comprised of a new loss function and a noisy label removal step, for training NER models on distantly-labeled data, and (2) a self-training method that uses contextualized augmentations created by pre-trained language models to improve the generalization ability of the NER model. On three benchmark datasets, our method achieves superior performance, outperforming existing distantly-supervised NER models by significant margins. ...
Keyword: Computational Linguistics; Information Extraction; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://underline.io/lecture/37472-distantly-supervised-named-entity-recognition-with-noise-robust-learning-and-language-model-augmented-self-training
https://dx.doi.org/10.48448/yba1-0652
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3
HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
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AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions ...
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Corpus-based Open-Domain Event Type Induction ...
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6
Extracting Event Temporal Relations via Hyperbolic Geometry ...
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Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss ...
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8
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention ...
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9
Corrected CBOW Performs as well as Skip-gram ...
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10
An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing ...
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11
Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification ...
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12
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision ...
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13
Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context ...
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14
TEET! Tunisian Dataset for Toxic Speech Detection ...
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15
Entity Relation Extraction as Dependency Parsing in Visually Rich Documents ...
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MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations ...
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17
Lifelong Event Detection with Knowledge Transfer ...
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18
SUBSUME: A Dataset for Subjective Summary Extraction from Wikipedia Documents ...
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19
Few-Shot Named Entity Recognition: An Empirical Baseline Study ...
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20
Low-resource Taxonomy Enrichment with Pretrained Language Models ...
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