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Named Entity Recognition

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TitleStatusHype
Learning Domain-Specific Word Embeddings from Sparse Cybersecurity Texts—0
Synapse at CAp 2017 NER challenge: Fasttext CRF—0
Empower Sequence Labeling with Task-Aware Neural Language ModelCode0
KnowNER: Incremental Multilingual Knowledge in Named Entity Recognition—0
A Graph-based Text Similarity Measure That Employs Named Entity Information—0
Role-based model for Named Entity Recognition—0
Hashtag Processing for Enhanced Clustering of Tweets—0
Bootstrapping a Romanian Corpus for Medical Named Entity Recognition—0
Making Travel Smarter: Extracting Travel Information From Email Itineraries Using Named Entity Recognition—0
Adapting the TTL Romanian POS Tagger to the Biomedical Domain—0
One model per entity: using hundreds of machine learning models to recognize and normalize biomedical names in text—0
Enrichment of French Biomedical Ontologies with UMLS Concepts and Semantic Types for Biomedical Named Entity Recognition Though Ontological Semantic Annotation—0
Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media—0
Context-Sensitive Recognition for Emerging and Rare Entities—0
Character-based Bidirectional LSTM-CRF with words and characters for Japanese Named Entity Recognition—0
Semantic Storytelling, Cross-lingual Event Detection and other Semantic Services for a Newsroom Content Curation Dashboard—0
Transfer Learning and Sentence Level Features for Named Entity Recognition on Tweets—0
A Feature-based Ensemble Approach to Recognition of Emerging and Rare Named Entities—0
Distributed Representation, LDA Topic Modelling and Deep Learning for Emerging Named Entity Recognition from Social Media—0
Cheap Translation for Cross-Lingual Named Entity Recognition—0
Leveraging Linguistic Structures for Named Entity Recognition with Bidirectional Recursive Neural NetworksCode0
Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision—0
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain AdaptationCode0
An Empirical Study of Discriminative Sequence Labeling Models for Vietnamese Text Processing—0
TANKER: Distributed Architecture for Named Entity Recognition and Disambiguation—0
Combining Discrete and Neural Features for Sequence LabelingCode0
NNVLP: A Neural Network-Based Vietnamese Language Processing ToolkitCode0
Scientific Information Extraction with Semi-supervised Neural Tagging—0
Meta-Learning MCMC Proposals—0
A neural network multi-task learning approach to biomedical named entity recognitionCode0
Unified Neural Architecture for Drug, Disease and Clinical Entity Recognition—0
KeyXtract Twitter Model - An Essential Keywords Extraction Model for Twitter Designed using NLP Tools—0
Learning how to Active Learn: A Deep Reinforcement Learning ApproachCode0
LitStoryTeller: An Interactive System for Visual Exploration of Scientific Papers Leveraging Named entities and Comparative Sentences—0
A Syllable-based Technique for Word Embeddings of Korean Words—0
Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling—0
Detecting mentions of pain and acute confusion in Finnish clinical text—0
Proactive Learning for Named Entity Recognition—0
MayoNLP at SemEval 2017 Task 10: Word Embedding Distance Pattern for Keyphrase Classification in Scientific Publications—0
MoRS at SemEval-2017 Task 3: Easy to use SVM in Ranking Tasks—0
LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network—0
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models—0
Joint Named Entity Recognition and Stance Detection in Tweets—0
CAp 2017 challenge: Twitter Named Entity Recognition—0
Deep Active Learning for Named Entity RecognitionCode1
Neural Reranking for Named Entity RecognitionCode0
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection—0
Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping—0
Extended Named Entity Recognition API and Its Applications in Language Education—0
Aggregating and Predicting Sequence Labels from Crowd AnnotationsCode0
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