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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 51–100 of 1729 papers

TitleStatusHype
An Effective Transition-based Model for Discontinuous NERCode1
Domain specific BERT representation for Named Entity Recognition of lab protocolCode1
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature TextCode1
Earnings-21: A Practical Benchmark for ASR in the WildCode1
End-to-End Entity Detection with Proposer and RegressorCode1
An Embarrassingly Easy but Strong Baseline for Nested Named Entity RecognitionCode1
E-NER: Evidential Deep Learning for Trustworthy Named Entity RecognitionCode1
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input RepresentationsCode1
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and NormalizationCode1
Enhancing Entity Boundary Detection for Better Chinese Named Entity RecognitionCode1
Evaluating Named Entity Recognition Using Few-Shot Prompting with Large Language ModelsCode1
Example-Based Named Entity RecognitionCode1
BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant SupervisionCode1
Actionable Entities Recognition Benchmark for Interactive FictionCode1
Detecting Potential Topics In News Using BERT, CRF and WikipediaCode1
Better Feature Integration for Named Entity RecognitionCode1
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTCode1
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionCode1
AISHELL-NER: Named Entity Recognition from Chinese SpeechCode1
A Unified Generative Framework for Various NER SubtasksCode1
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot ContextsCode1
Automatic extraction of materials and properties from superconductors scientific literatureCode1
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity RecognitionCode1
Beheshti-NER: Persian Named Entity Recognition Using BERTCode1
Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu FrameworkCode1
A Label-Aware Autoregressive Framework for Cross-Domain NERCode1
A Large-Scale Chinese Multimodal NER Dataset with Speech CluesCode1
ALBETO and DistilBETO: Lightweight Spanish Language ModelsCode1
A Human Subject Study of Named Entity Recognition (NER) in Conversational Music Recommendation QueriesCode1
BNLP: Natural language processing toolkit for Bengali languageCode1
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer NetworksCode1
Boundary Smoothing for Named Entity RecognitionCode1
Chinese NER Using Lattice LSTMCode1
CHisIEC: An Information Extraction Corpus for Ancient Chinese HistoryCode1
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity RecognitionCode1
CMNER: A Chinese Multimodal NER Dataset based on Social MediaCode1
Computationally Efficient NER Taggers with Combined Embeddings and Constrained DecodingCode1
Computer Science Named Entity Recognition in the Open Research Knowledge GraphCode1
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity RecognitionCode1
COVID-19 Named Entity Recognition for VietnameseCode1
A Sequence-to-Set Network for Nested Named Entity RecognitionCode1
Data Augmentation for Cross-Domain Named Entity RecognitionCode1
De-biasing Distantly Supervised Named Entity Recognition via Causal InterventionCode1
Deep Active Learning for Named Entity RecognitionCode1
Supplementary Features of BiLSTM for Enhanced Sequence LabelingCode1
DiffusionNER: Boundary Diffusion for Named Entity RecognitionCode1
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NERCode1
A Dataset of German Legal Documents for Named Entity RecognitionCode1
SeqScore: Addressing Barriers to Reproducible Named Entity Recognition EvaluationCode1
Can images help recognize entities? A study of the role of images for Multimodal NERCode1
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