SIR-NERD: A Chinese Named Entity Recognition and Disambiguation System using a Two-Stage Method

J-NERD: Joint Named Entity Recognition and Disambiguation with Rich Linguistic Features

Methods for Named Entity Recognition and Disambiguation (NERD) perform NER and NED in two separate stages. Therefore, NED may be penalized with respect to precision by NER false positives, and suffers in recall from NER …

TweetNERD -- End to End Entity Linking Benchmark for Tweets

Named Entity Recognition and Disambiguation (NERD) systems are foundational for information retrieval, question answering, event detection, and other natural language processing (NLP) applications. We introduce TweetNERD…

NERD: A Framework for Unifying Named Entity Recognition and Disambiguation Extraction Tools

TANKER: Distributed Architecture for Named Entity Recognition and Disambiguation

Named Entity Recognition and Disambiguation (NERD) systems have recently been widely researched to deal with the significant growth of the Web. NERD systems are crucial for several Natural Language Processing (NLP) tasks…

MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation)

Named Entity Recognition (NER) is the task of identifying named entities in texts and classifying them through specific semantic categories, a process which is crucial for a wide range of NLP applications. Current datase…