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Named Entity Recognition

2,041 papers

Papers per year

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Papers

Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction IJCAI 2020
Improving Vietnamese Named Entity Recognition from Speech Using Word Capitalization and Punctuation Recovery Models INTERSPEECH 2020
End-to-End Named Entity Recognition from English Speech INTERSPEECH 2020
Privacy Guarantees for De-Identifying Text Transformations INTERSPEECH 2020
Glyce: Glyph-vectors for Chinese Character Representations NIPS 2019
Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks AAAI 2019
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization AAAI 2019
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition AAAI 2019
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification AAAI 2019
Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant AAAI 2019
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction AAAI 2019
Zero-Shot Neural Transfer for Cross-Lingual Entity Linking AAAI 2019
A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks AAAI 2019
Chinese NER with Height-Limited Constituent Parsing AAAI 2019
Quantifying Uncertainties in Natural Language Processing Tasks AAAI 2019
Extracting Kinship from Obituary to Enhance Electronic Health Records for Genetic Research ACL 2019
MedNorm: A Corpus and Embeddings for Cross-terminology Medical Concept Normalisation ACL 2019
HITSZ-ICRC: A Report for SMM4H Shared Task 2019-Automatic Classification and Extraction of Adverse Effect Mentions in Tweets ACL 2019
KFU NLP Team at SMM4H 2019 Tasks: Want to Extract Adverse Drugs Reactions from Tweets? BERT to The Rescue ACL 2019
Identifying Adverse Drug Events Mentions in Tweets Using Attentive, Collocated, and Aggregated Medical Representation ACL 2019
Transfer Learning for Health-related Twitter Data ACL 2019
Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention ACL 2019
Deep Learning for Identification of Adverse Effect Mentions In Twitter Data ACL 2019
Using Machine Learning and Deep Learning Methods to Find Mentions of Adverse Drug Reactions in Social Media ACL 2019
Towards Text Processing Pipelines to Identify Adverse Drug Events-related Tweets: University of Michigan @ SMM4H 2019 Task 1 ACL 2019