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Named Entity Recognition

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TitleStatusHype
Callico: a Versatile Open-Source Document Image Annotation Platform—0
Exploration de traits pour la reconnaissance d'entit\'es nomm\'ees du Fran par apprentissage automatique (Feature exploration for French Named Entity Recognition with Machine Learning)—0
Exploring the Use of Foundation Models for Named Entity Recognition and Lemmatization Tasks in Slavic Languages—0
Extended Named Entity Recognition API and Its Applications in Language Education—0
Extending Multilingual BERT to Low-Resource Languages—0
Extracting Biomedical Entities from Noisy Audio Transcripts—0
Exploiting the large-scale German Broadcast Corpus to boost the Fraunhofer IAIS Speech Recognition System—0
Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection—0
CalibreNet: Calibration Networks for Multilingual Sequence Labeling—0
A Pharmacovigilance Application of Social Media Mining: An Ensemble Approach for Automated Classification and Extraction of Drug Mentions in Tweets—0
A Hybrid Approach to Features Representation for Fine-grained Arabic Named Entity Recognition—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
Exploiting Lists of Names for Named Entity Identification of Financial Institutions from Unstructured Documents—0
Calibrating Structured Output Predictors for Natural Language Processing—0
Exploiting Global Contextual Information for Document-level Named Entity Recognition—0
Extreme Multi-Label Classification with Label Masking for Product Attribute Value Extraction—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
FaBERT: Pre-training BERT on Persian Blogs—0
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data—0
CALBC: Releasing the Final Corpora—0
Explicit Modeling the Context for Chinese NER—0
Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond—0
Experiments to Improve Named Entity Recognition on Turkish Tweets—0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition—0
AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations—0
Bulgarian X-language Parallel Corpus—0
Examining risks of racial biases in NLP tools for child protective services—0
Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework—0
Building OCR/NER Test Collections—0
Evolving Knowledge Distillation with Large Language Models and Active Learning—0
EVIDENCEMINER: Textual Evidence Discovery for Life Sciences—0
Building Multilingual Corpora for a Complex Named Entity Recognition and Classification Hierarchy using Wikipedia and DBpedia—0
Hierarchical Aligned Multimodal Learning for NER on Tweet Posts—0
Evaluation of Stacked Embeddings for Bulgarian on the Downstream Tasks POS and NERC—0
Evaluation of LLM Chatbots for OSINT-based Cyber Threat Awareness—0
Building Low-Resource NER Models Using Non-Speaker Annotations—0
Evaluation of large language model performance on the Biomedical Language Understanding and Reasoning Benchmark—0
Evaluation of Embedding Models for Automatic Extraction and Classification of Acknowledged Entities in Scientific Documents—0
Building Low-Resource NER Models Using Non-Speaker Annotation—0
Building Hierarchically Disentangled Language Models for Text Generation with Named Entities—0
Evaluating the Use of Empirically Constructed Lexical Resources for Named Entity Recognition—0
Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools—0
Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models—0
A Novel Dataset Towards Extracting Virus-Host Interactions—0
A Hassle-Free Machine Learning Method for Cohort Selection of Clinical Trials—0
Active Learning with Tabular Language Models—0
命名實體識別運用於產品同義詞擴增(Using Named Entity Recognition Increases the Synonym of Products)[In Chinese]—0
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