80 datasets found

The Seungjeongwon corpus is a historical corpus that contains the diary of a royal secretary from the Joseon Dynasty, with annotated named entities and punctuation markers.

Few-shot Name Entity Recognition on StackOverflow

StackOverflow NER corpus, which contains more than 1,237 question-answer threads from StackOverflow 10-year archive with 27 types of entities.

Word Class Lattices (WCL) was introduced by Navigli and Velardi. It consists of 1,871 definitional and 2,847 non-definitional sentences from Wikipedia.

The Rare-NER, Bio-NER, and Twitter-POS datasets are used for named entity recognition and part-of-speech tagging.

The NLU-ED dataset is a benchmark for named entity recognition, consisting of 69 intent labels, 108 slot labels, and a vocabulary of 7.9k tokens.

CL-NERIL: A Cross-Lingual Model for NER in Indian Languages

The dataset used in the paper for named entity recognition, end-to-end relation extraction, and coreference resolution.

A run-time oriented tool for context-free Wikification based on Wikipedia redirects.

From TagMe to WAT: a new entity annotator.

A large-scale mention detection benchmark for spoken and written text.

A named entity recognition dataset

The i2b2 2010 dataset is a corpus of clinical text that was created as part of an NLP challenge in 2010.

The i2b2 2012 dataset is a corpus of clinical text that was created as part of an NLP challenge in 2012.

Named entity recognition is a challenging task that has traditionally required large amounts of knowledge in the form of feature engineering and lexicons to achieve high...

Resume for NER; CoNLL-2004 for RE; FewFC for EE

The CoNLL-2003 English NER shared task dataset, consisting of 14,041/3,250/3,453 sentences in the training/development/test set respectively, all extracted from Reuters news...

The dataset used in the paper is ACE 2005, WebNLG, CoNLL, NYT, and FB15k-237. The ACE 2005 dataset is a collection of news articles, while WebNLG is a corpus used for natural...

The NEWS 2010 English-Hindi test set is used for transliteration equivalence evaluation.

The NEWS 2009 English-Hindi training set is used for transliteration equivalence learning.