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Named Entity Recognition

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Showing 1401–1450 of 2560 papers

TitleStatusHype
Social Media Analysis based on Semanticity of Streaming and Batch Data—0
Social Media Personal Event Notifier Using NLP and Machine Learning—0
Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML—0
Software Mention Recognition with a Three-Stage Framework Based on BERTology Models at SOMD 2024—0
Solving Price Per Unit Problem Around the World: Formulating Fact Extraction as Question Answering—0
SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding—0
Span-based joint entity and relation extraction augmented with sequence tagging mechanism—0
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition—0
Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling—0
Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling—0
SpeedRead: A Fast Named Entity Recognition Pipeline—0
SPSQL: Step-by-step Parsing Based Framework for Text-to-SQL Generation—0
Skill over Scale: The Case for Medium, Domain-Specific Models for SE—0
Statistical Dataset Evaluation: Reliability, Difficulty, and Validity—0
Stratégies d’adaptation pour la reconnaissance d’entités médicales en français (Adaptation strategies for biomedical named entity recognition in French)—0
Structured information extraction from complex scientific text with fine-tuned large language models—0
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training—0
Subsequence Based Deep Active Learning for Named Entity Recognition—0
SU-NLP at SemEval-2022 Task 11: Complex Named Entity Recognition with Entity Linking—0
Surprisingly Simple Adapter Ensembling for Zero-Shot Cross-Lingual Sequence Tagging—0
Surveillance of COVID-19 Pandemic using Social Media: A Reddit Study in North Carolina—0
Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools—0
SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data—0
Syllable-based Neural Named Entity Recognition for Myanmar Language—0
Synapse at CAp 2017 NER challenge: Fasttext CRF—0
Synchronous Dual Network with Cross-Type Attention for Joint Entity and Relation Extraction—0
Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling—0
Syntactic analyses and named entity recognition for PubMed and PubMed Central --- up-to-the-minute—0
Synthesized Annotation Guidelines are Knowledge-Lite Boosters for Clinical Information Extraction—0
Systematic Literature Review on Clinical Trial Eligibility Matching—0
SZTE-NLP: Clinical Text Analysis with Named Entity Recognition—0
TableIE: Capture the Interactions among Joint Information Extraction Explicitly via Double Tables—0
Tackling Code-Switched NER: Participation of CMU—0
Taec: a Manually annotated text dataset for trait and phenotype extraction and entity linking in wheat breeding literature—0
Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature—0
Tag-Set-Sequence Learning for Generating Question-Answer Pairs—0
TANKER: Distributed Architecture for Named Entity Recognition and Disambiguation—0
Targetable Named Entity Recognition in Social Media—0
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding—0
Task-Agnostic Detector for Insertion-Based Backdoor Attacks—0
Taxonomy Expansion for Named Entity Recognition—0
TBI Image/Text (TBI-IT): Comprehensive Text and Image Datasets for Traumatic Brain Injury Research—0
Team dina at SemEval-2022 Task 8: Pre-trained Language Models as Baselines for Semantic Similarity—0
TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network—0
TeluguNER: Leveraging Multi-Domain Named Entity Recognition with Deep Transformers—0
Temporal Concept Drift and Alignment: An empirical approach to comparing Knowledge Organization Systems over time—0
Temporally-Informed Analysis of Named Entity Recognition—0
Terminologies augmented recurrent neural network model for clinical named entity recognition—0
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text—0
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling—0
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