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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 651–700 of 1729 papers

TitleStatusHype
Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding—0
Caract\'erisation des plosives finales dans des langues d'Asie : une \'etude multilingue du non rel\^achement (Characterization of Stop Consonants in Asian Languages: A two-language Study of Unreleased)—0
Cascaded Models for Better Fine-Grained Named Entity Recognition—0
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction—0
A Knowledge-Enhanced Disease Diagnosis Method Based on Prompt Learning and BERT Integration—0
A practical method for occupational skills detection in Vietnamese job listings—0
Exploring the BERT Cross-Lingual Transferability: a Case Study in Reading Comprehension—0
Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing—0
Exploring the importance of context and embeddings in neural NER models for task-oriented dialogue systems—0
Exploring the Use of Foundation Models for Named Entity Recognition and Lemmatization Tasks in Slavic Languages—0
Extending Multilingual BERT to Low-Resource Languages—0
Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience—0
Extracting Biomedical Entities from Noisy Audio Transcripts—0
Extracting clinical concepts from user queries—0
Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection—0
Character-based Bidirectional LSTM-CRF with words and characters for Japanese Named Entity Recognition—0
Boosting Named Entity Recognition with Neural Character Embeddings—0
Extracting periodontitis diagnosis in clinical notes with RoBERTa and regular expression—0
Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking—0
Extracting Relational Triples Based on Graph Recursive Neural Network via Dynamic Feedback Forest Algorithm—0
Enhance Robustness of Sequence Labelling with Masked Adversarial Training—0
Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training—0
Extrinsic Factors Affecting the Accuracy of Biomedical NER—0
F10-SGD: Fast Training of Elastic-net Linear Models for Text Classification and Named-entity Recognition—0
Adaptation d'une m\'etagrammaire du fran contemporain au fran m\'edi\'eval (Adapting an existing metagrammar for Contemporary French to Medieval French)—0
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source—0
Annotation Guidelines for Corpus Novelties: Part 1 -- Named Entity Recognition—0
Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging—0
Annotation Errors and NER: A Study with OntoNotes 5.0—0
Generating Task-Pertinent sorted Error Lists for Speech Recognition—0
Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT—0
A Local Detection Approach for Named Entity Recognition and Mention Detection—0
Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation—0
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP—0
Federated Named Entity Recognition—0
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning—0
English Recipe Flow Graph Corpus—0
BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge—0
Few-Shot Class-Incremental Learning for Named Entity Recognition—0
Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting—0
Generative AI for Business Strategy: Using Foundation Models to Create Business Strategy Tools—0
A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value Identification—0
Few-shot Multimodal Multitask Multilingual Learning—0
Accelerated materials language processing enabled by GPT—0
Few-Shot Named Entity Recognition: An Empirical Baseline Study—0
Arabic Named Entity Recognition using Word Representations—0
Few-shot Named Entity Recognition with Cloze Questions—0
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes—0
Few-shot Name Entity Recognition on StackOverflow—0
General Embedding vs. Task-Specific Embedding: A Comparative Approach to Enhancing NLP Performance—0
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