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Named Entity Recognition

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Showing 1951–1975 of 2560 papers

TitleStatusHype
On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages—0
Improving Pre-Trained Multilingual Models with Vocabulary Expansion—0
Classification Attention for Chinese NER—0
Towards Interpretable Evaluations: A Case Study of Named Entity Recognition—0
Dependency-Guided LSTM-CRF for Named Entity RecognitionCode0
GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summariesCode0
Biomedical Mention Disambiguation using a Deep Learning Approach—0
Portuguese Named Entity Recognition using BERT-CRFCode0
Using Chinese Glyphs for Named Entity RecognitionCode0
Named Entity Recognition with Partially Annotated Training Data—0
Hierarchical Meta-Embeddings for Code-Switching Named Entity RecognitionCode0
Neural Correction Model for Open-Domain Named Entity RecognitionCode0
Dependency-Aware Named Entity Recognition with Relative and Global Attentions—0
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis—0
Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER—0
May I Check Again? -- A simple but efficient way to generate and use contextual dictionaries for Named Entity Recognition. Application to French Legal Texts—0
#MeTooMaastricht: Building a chatbot to assist survivors of sexual harassmentCode0
Nested Named Entity Recognition via Second-best Sequence Learning and DecodingCode0
CrossWeigh: Training Named Entity Tagger from Imperfect AnnotationsCode0
From Textual Information Sources to Linked Data in the Agatha Project—0
Modeling Named Entity Embedding Distribution into Hypersphere—0
Multilingual Language Models for Named Entity Recognition in German and English—0
Evaluation of Stacked Embeddings for Bulgarian on the Downstream Tasks POS and NERC—0
NSURL-2019 Task 7: Named Entity Recognition for Farsi—0
May I Check Again? — A simple but efficient way to generate and use contextual dictionaries for Named Entity Recognition. Application to French Legal Texts.—0
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