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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 1551–1600 of 1729 papers

TitleStatusHype
HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition—0
Handling and extracting key entities from customer conversations using Speech recognition and Named Entity recognition—0
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling—0
HardEval: Focusing on Challenging Tokens to Assess Robustness of NER—0
HAREM: the first evaluation contest for Named Entity Recognition in Portuguese—0
HealthE: Classifying Entities in Online Textual Health Advice—0
HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations—0
HFST-SweNER --- A New NER Resource for Swedish—0
Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology—0
Hierarchical Region Learning for Nested Named Entity Recognition—0
High Quality ELMo Embeddings for Seven Less-Resourced Languages—0
High Quality ELMo Embeddings for Seven Less-Resourced Languages—0
HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models—0
HistNERo: Historical Named Entity Recognition for the Romanian Language—0
HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction—0
Home Appliance Review Research Via Adversarial Reptile—0
How much reliable is ChatGPT's prediction on Information Extraction under Input Perturbations?—0
How to Adapt Your Pretrained Multilingual Model to 1600 Languages—0
Hybrid Multi-stage Decoding for Few-shot NER with Entity-aware Contrastive Learning—0
Hybrid NER System for Multi-Source Offer Feeds—0
H_eval: A new hybrid evaluation metric for automatic speech recognition tasks—0
Identifying Motion Entities in Natural Language and A Case Study for Named Entity Recognition—0
Identifying Named Entities as they are Typed—0
Identifying Planetary Names in Astronomy Papers: A Multi-Step Approach—0
Identifying professions & occupations in Health-related Social Media using Natural Language Processing—0
If You Build Your Own NER Scorer, Non-replicable Results Will Come—0
IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data—0
Illinois Cross-Lingual Wikifier: Grounding Entities in Many Languages to the English Wikipedia—0
Impact of Corpus Diversity and Complexity on NER Performance—0
Impact of translation on biomedical information extraction from real-life clinical notes—0
Improved Named Entity Recognition for Noisy Call Center Transcripts—0
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances—0
Improving Autoregressive Training with Dynamic Oracles—0
Improving Chinese Named Entity Recognition by Search Engine Augmentation—0
Improving Code-Switching and Named Entity Recognition in ASR with Speech Editing based Data Augmentation—0
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model—0
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling—0
Improving Low-Resource Named Entity Recognition via Label-Aware Data Augmentation and Curriculum Denoising—0
Improving Model Generalization: A Chinese Named Entity Recognition Case Study—0
Improving Multilingual Models with Language-Clustered Vocabularies—0
Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping—0
Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning—0
Improving Named Entity Recognition in Spoken Dialog Systems by Context and Speech Pattern Modeling—0
Improving Named Entity Transcription with Contextual LLM-based Revision—0
Improving NER for Clinical Texts by Ensemble Approach using Segment Representations—0
Improving NER Models by exploiting Named Entity Gazetteer as External Knowledge—0
Improving Neural Sequence Labelling using Additional Linguistic Information—0
Improving Precancerous Case Characterization via Transformer-based Ensemble Learning—0
Improving Tagging Consistency and Entity Coverage for Chemical Identification in Full-text Articles—0
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding—0
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