Datasets:
Tasks:
Token Classification
Modalities:
Text
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
100K - 1M
ArXiv:
License:
README
Browse files
README.md
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## Dataset Description
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- **Repository:** [https://github.com/asahi417/tner/tree/master/examples/tweetner7_paper](https://github.com/asahi417/tner/tree/master/examples/tweetner7_paper)
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- **Paper:**
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- **Dataset:** TweetNER7
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- **Domain:** Twitter
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- **Number of Entity:** 7
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### Dataset Summary
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This is the official repository of TweetNER7 ("Named Entity Recognition in Twitter:
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A Dataset and Analysis on Short-Term Temporal Shifts, AACL main conference 2022"), an NER dataset on Twitter with 7 entity labels. Each instance of TweetNER7 comes with a timestamp which distributes from September 2019 to August 2021.
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The tweet collection used in TweetNER7 is same as what used in [TweetTopic](https://huggingface.co/datasets/cardiffnlp/tweet_topic_multi).
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The dataset is integrated in [TweetNLP](https://tweetnlp.org/) too.
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- Entity Types: `corperation`, `creative_work`, `event`, `group`, `location`, `product`, `person`
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## Dataset Description
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- **Repository:** [https://github.com/asahi417/tner/tree/master/examples/tweetner7_paper](https://github.com/asahi417/tner/tree/master/examples/tweetner7_paper)
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- **Paper:** [https://arxiv.org/abs/2210.03797](https://arxiv.org/abs/2210.03797)
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- **Dataset:** TweetNER7
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- **Domain:** Twitter
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- **Number of Entity:** 7
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### Dataset Summary
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This is the official repository of TweetNER7 (["Named Entity Recognition in Twitter:
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A Dataset and Analysis on Short-Term Temporal Shifts, AACL main conference 2022"](https://arxiv.org/abs/2210.03797)), an NER dataset on Twitter with 7 entity labels. Each instance of TweetNER7 comes with a timestamp which distributes from September 2019 to August 2021.
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The tweet collection used in TweetNER7 is same as what used in [TweetTopic](https://huggingface.co/datasets/cardiffnlp/tweet_topic_multi).
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The dataset is integrated in [TweetNLP](https://tweetnlp.org/) too.
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- Entity Types: `corperation`, `creative_work`, `event`, `group`, `location`, `product`, `person`
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