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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 1101–1150 of 1729 papers

TitleStatusHype
DaN+: Danish Nested Named Entities and Lexical NormalizationCode0
Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism—0
A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated LearningCode0
Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer NetworksCode0
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network—0
Analysing The Impact Of Linguistic Features On Cross-Lingual TransferCode0
Fine-grained Named Entity Annotation for Finnish—0
Knowledge Distillation for Swedish NER models: A Search for Performance and Efficiency—0
An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets—0
Multi-Task Learning of Query Intent and Named Entities using Transfer Learning—0
Optimizing small BERTs trained for German NERCode0
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models CrispCode0
Regularization for Long Named Entity RecognitionCode0
Zero-Resource Multi-Dialectal Arabic Natural Language Understanding—0
Effect of depth order on iterative nested named entity recognition models—0
Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages—0
Using a Frustratingly Easy Domain and Tagset Adaptation for Creating Slavic Named Entity Recognition SystemsCode0
Multilingual Named Entity Recognition and Matching Using BERT and Dedupe for Slavic Languages—0
Multilingual Slavic Named Entity Recognition—0
Identifying Named Entities as they are Typed—0
FuzzyBIO: A Proposal for Fuzzy Representation of Discontinuous EntitiesCode0
Subword Pooling Makes a DifferenceCode0
Benchmarking Pre-trained Language Models for Multilingual NER: TraSpaS at the BSNLP2021 Shared TaskCode0
Dynamic Ensembles in Named Entity Recognition for Historical Arabic Texts—0
Priberam Labs at the 3rd Shared Task on SlavNER—0
NaijaNER : Comprehensive Named Entity Recognition for 5 Nigerian Languages—0
Industry Scale Semi-Supervised Learning for Natural Language Understanding—0
Contextual Text Embeddings for Twi—0
Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification—0
TMR: Evaluating NER Recall on Tough Mentions—0
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions—0
Comparing the Performance of NLP Toolkits and Evaluation measures in Legal Tech—0
Towards Multi-Sense Cross-Lingual Alignment of Contextual EmbeddingsCode0
Evaluation of Morphological Embeddings for the Russian Language—0
Automated Generation of Interorganizational Disaster Response Networks through Information Extraction—0
Evaluating Contextualized Language Models for HungarianCode0
Subword Pooling Makes a DifferenceCode0
Analysis Of Contextual and Non-Contextual Word Embedding Models For Hindi NER With Web Application For Data CollectionCode0
Semantic Parsing to Manipulate Relational Database For a Management System—0
Jointly Learning Clinical Entities and Relations with Contextual Language Models and Explicit Context—0
BERTaú: Itaú BERT for digital customer service—0
Named Entity Recognition in the Style of Object Detection—0
Cross-Lingual Named Entity Recognition Using Parallel Corpus: A New Approach Using XLM-RoBERTa Alignment—0
Recent Trends in Named Entity Recognition (NER)—0
Validating Label Consistency in NER Data Annotation—0
Single versus Multiple Annotation for Named Entity Recognition of MutationsCode0
SoftNER: Mining Knowledge Graphs From Cloud Incidents—0
Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence LabelingCode0
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis—0
Lex-BERT: Enhancing BERT based NER with lexicons—0
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