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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 1501–1550 of 1729 papers

TitleStatusHype
Scalable graph-based individual named entity identification—0
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish—0
Neural sequence labeling for Vietnamese POS Tagging and NER—0
microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF—0
Neural CRF transducers for sequence labeling—0
A Pragmatic Guide to Geoparsing EvaluationCode0
Named Entity Recognition on Twitter for Turkish using Semi-supervised Learning with Word Embeddings—0
Efficient Dependency-Guided Named Entity RecognitionCode0
Neural Adaptation Layers for Cross-domain Named Entity RecognitionCode0
Cross Script Hindi English NER Corpus from Wikipedia—0
Evaluation of a Sequence Tagging Tool for Biomedical TextsCode0
Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding—0
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?Code0
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention MechanismCode0
Memory, Show the Way: Memory Based Few Shot Word Representation Learning—0
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets—0
Deep Exhaustive Model for Nested Named Entity Recognition—0
Neural Entity Reasoner for Global Consistency in NER—0
Efficient Sequence Labeling with Actor-Critic TrainingCode0
Multi-Grained Entity Proposal Network for Named Entity Recognition—0
Recognizing Film Entities in Podcasts—0
A Byte-sized Approach to Named Entity RecognitionCode0
CollaboNet: collaboration of deep neural networks for biomedical named entity recognitionCode0
On the Strength of Character Language Models for Multilingual Named Entity Recognition—0
Learning Named Entity Tagger using Domain-Specific DictionaryCode0
Neural Cross-Lingual Named Entity Recognition with Minimal ResourcesCode0
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword RepresentationsCode0
Evaluating the Utility of Hand-crafted Features in Sequence LabellingCode0
Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition—0
End-to-End Neural Entity LinkingCode0
Neural Named Entity Recognition from Subword Units—0
Confidence penalty, annealing Gaussian noise and zoneout for biLSTM-CRF networks for named entity recognition—0
Sequence Labeling: A Practical ApproachCode0
A Hassle-Free Machine Learning Method for Cohort Selection of Clinical Trials—0
Distantly Supervised NER with Partial Annotation Learning and Reinforcement LearningCode0
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological TagsCode0
Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models—0
An Empirical Study on Fine-Grained Named Entity Recognition—0
GBD-NER at PARSEME Shared Task 2018: Multi-Word Expression Detection Using Bidirectional Long-Short-Term Memory Networks and Graph-Based Decoding—0
Improving Neural Sequence Labelling using Additional Linguistic Information—0
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological TagsCode0
Bench-Marking Information Extraction in Semi-Structured Historical Handwritten Records—0
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy DataCode0
Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing—0
Named-Entity Tagging and Domain adaptation for Better Customized Translation—0
CRF-LSTM Text Mining Method Unveiling the Pharmacological Mechanism of Off-target Side Effect of Anti-Multiple Myeloma Drugs—0
BioAMA: Towards an End to End BioMedical Question Answering System—0
Simple Features for Strong Performance on Named Entity Recognition in Code-Switched Twitter Data—0
Tackling Code-Switched NER: Participation of CMU—0
Multilingual Named Entity Recognition on Spanish-English Code-switched Tweets using Support Vector Machines—0
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