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Named Entity Recognition

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The SETimes.HR Linguistically Annotated Corpus of Croatian—0
The Swedish PoliGraph: A Semantic Graph for Argument Mining of Swedish Parliamentary Data—0
The Task 2 of CIPS-SIGHAN 2012 Named Entity Recognition and Disambiguation in Chinese Bakeoff—0
The University of Texas System Submission for the Code-Switching Workshop Shared Task 2018—0
The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition—0
The Use of Artificial Intelligence in Military Intelligence: An Experimental Investigation of Added Value in the Analysis Process—0
The Utility and Interplay of Gazetteers and Entity Segmentation for Named Entity Recognition in English—0
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models—0
TLR at BSNLP2019: A Multilingual Named Entity Recognition System—0
TMR: Evaluating NER Recall on Tough Mentions—0
TocBERT: Medical Document Structure Extraction Using Bidirectional Transformers—0
Token-level Sequence Labeling for Spoken Language Understanding using Compositional End-to-End Models—0
TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection—0
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles—0
Topic Segmentation of Research Article Collections—0
Topic Sentence Named Entity Recognition: A New Task with Its Dataset and Benchmarks—0
Toponym Detection in the Bio-Medical Domain: A Hybrid Approach with Deep Learning—0
Toward a Critical Toponymy Framework for Named Entity Recognition: A Case Study of Airbnb in New York City—0
Toward Fully Exploiting Heterogeneous Corpus:A Decoupled Named Entity Recognition Model with Two-stage Training—0
Toward Mention Detection Robustness with Recurrent Neural Networks—0
Toward Pan-Slavic NLP: Some Experiments with Language Adaptation—0
Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons—0
Towards Automated Recipe Genre Classification using Semi-Supervised Learning—0
Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases—0
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models—0
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