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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 51–60 of 1729 papers

TitleStatusHype
An Embarrassingly Easy but Strong Baseline for Nested Named Entity RecognitionCode1
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer NetworksCode1
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature TextCode1
An Effective System for Multi-format Information ExtractionCode1
Chinese NER Using Lattice LSTMCode1
CHisIEC: An Information Extraction Corpus for Ancient Chinese HistoryCode1
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionCode1
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input RepresentationsCode1
Coarse-to-Fine Pre-training for Named Entity RecognitionCode1
Supplementary Features of BiLSTM for Enhanced Sequence LabelingCode1
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