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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 451–475 of 1729 papers

TitleStatusHype
Evaluation of large language model performance on the Biomedical Language Understanding and Reasoning Benchmark—0
KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery—0
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity RecognitionCode0
Unveiling Social Media Comments with a Novel Named Entity Recognition System for Identity Groups—0
Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media—0
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages—0
P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language ModelsCode0
Astro-NER -- Astronomy Named Entity Recognition: Is GPT a Good Domain Expert Annotator?—0
Enhancing Language Models for Financial Relation Extraction with Named Entities and Part-of-SpeechCode0
A Named Entity Recognition and Topic Modeling-based Solution for Locating and Better Assessment of Natural Disasters in Social Media—0
HistNERo: Historical Named Entity Recognition for the Romanian Language—0
Mix of Experts Language Model for Named Entity Recognition—0
Reading Order Independent Metrics for Information Extraction in Handwritten Documents—0
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition—0
2M-NER: Contrastive Learning for Multilingual and Multimodal NER with Language and Modal Fusion—0
Incorporating Lexical and Syntactic Knowledge for Unsupervised Cross-Lingual TransferCode0
Software Mention Recognition with a Three-Stage Framework Based on BERTology Models at SOMD 2024—0
EnzChemRED, a rich enzyme chemistry relation extraction dataset—0
Few-shot Name Entity Recognition on StackOverflow—0
ToNER: Type-oriented Named Entity Recognition with Generative Language ModelCode0
LLMs in Biomedicine: A study on clinical Named Entity RecognitionCode0
Hybrid Multi-stage Decoding for Few-shot NER with Entity-aware Contrastive Learning—0
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding—0
Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models—0
LTNER: Large Language Model Tagging for Named Entity Recognition with Contextualized Entity Marking—0
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