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README.md
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language:
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- en
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widget:
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- source_sentence:
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sentences:
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---
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# WRAPresentations -- A TACO-based Embedder For Inference and Information-Driven Argument Mining on Twitter
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@@ -250,6 +280,27 @@ SentenceTransformer(
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- **Compute Region:** [asia-southeast1](https://cloud.google.com/compute/docs/gpus/gpu-regions-zones?hl=en) (Singapore)
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- **Carbon Emitted:** 0.21kg CO2
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language:
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- en
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widget:
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- source_sentence: >-
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The formula: Not everyone who voted Leave is racist. But everyone who's
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racist voted Leave. Not everyone who voted Leave is thick. But everyone
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who's thick voted Leave. The thick racists therefore called the shots,
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whatever the thoughts of the minority of others. #thick #Brexit
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sentences:
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- 'Men shouldn’t be making laws about women’s bodies #abortion #Texas'
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- >-
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Opinion: As the draconian (and then some) abortion law takes effecting
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#Texas, this is not an idle question for millions of Americans. A slippery
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slope towards more like-minded Republican state-legislatures to try to
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follow suit. #abortion #F24 HTTPURL
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- >-
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’Bitter truth’: EU chief pours cold water on idea of Brits keeping EU
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citizenship after #Brexit HTTPURL via @USER
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- '@USER Blah blah blah blah blah blah'
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example_title: Reason
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- source_sentence: This is NOT good for children.
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sentences:
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- 'Men shouldn’t be making laws about women’s bodies #abortion #Texas'
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- >-
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Opinion: As the draconian (and then some) abortion law takes effecting
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#Texas, this is not an idle question for millions of Americans. A slippery
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slope towards more like-minded Republican state-legislatures to try to
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follow suit. #abortion #F24 HTTPURL
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- >-
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’Bitter truth’: EU chief pours cold water on idea of Brits keeping EU
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citizenship after #Brexit HTTPURL via @USER
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- '@USER Blah blah blah blah blah blah'
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example_title: Statement
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- source_sentence: >-
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Elon Musk ready with 'Plan B' if Twitter rejects his offer Read @USER Story
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| HTTPURL #ElonMusk #ElonMuskTwitter #TwitterTakeover HTTPURL
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sentences:
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- 'Men shouldn’t be making laws about women’s bodies #abortion #Texas'
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- >-
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Opinion: As the draconian (and then some) abortion law takes effecting
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#Texas, this is not an idle question for millions of Americans. A slippery
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slope towards more like-minded Republican state-legislatures to try to
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follow suit. #abortion #F24 HTTPURL
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- >-
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’Bitter truth’: EU chief pours cold water on idea of Brits keeping EU
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citizenship after #Brexit HTTPURL via @USER
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- '@USER Blah blah blah blah blah blah'
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example_title: Notification
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- source_sentence: '@USER 👅is the Key 😂'
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sentences:
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- 'Men shouldn’t be making laws about women’s bodies #abortion #Texas'
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- >-
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Opinion: As the draconian (and then some) abortion law takes effecting
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#Texas, this is not an idle question for millions of Americans. A slippery
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slope towards more like-minded Republican state-legislatures to try to
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follow suit. #abortion #F24 HTTPURL
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- >-
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’Bitter truth’: EU chief pours cold water on idea of Brits keeping EU
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citizenship after #Brexit HTTPURL via @USER
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- '@USER Blah blah blah blah blah blah'
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example_title: None
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base_model:
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- vinai/bertweet-base
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library_name: sentence-transformers
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---
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# WRAPresentations -- A TACO-based Embedder For Inference and Information-Driven Argument Mining on Twitter
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- **Compute Region:** [asia-southeast1](https://cloud.google.com/compute/docs/gpus/gpu-regions-zones?hl=en) (Singapore)
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- **Carbon Emitted:** 0.21kg CO2
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# Licensing
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[WRAPresentations](https://huggingface.co/TomatenMarc/WRAPresentations) © 2023 is licensed under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/?ref=chooser-v1).
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# Citation
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```
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@inproceedings{feger-dietze-2024-bertweets,
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title = "{BERT}weet{'}s {TACO} Fiesta: Contrasting Flavors On The Path Of Inference And Information-Driven Argument Mining On {T}witter",
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author = "Feger, Marc and
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Dietze, Stefan",
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editor = "Duh, Kevin and
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Gomez, Helena and
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Bethard, Steven",
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booktitle = "Findings of the Association for Computational Linguistics: NAACL 2024",
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month = jun,
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year = "2024",
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address = "Mexico City, Mexico",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2024.findings-naacl.146",
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doi = "10.18653/v1/2024.findings-naacl.146",
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pages = "2256--2266"
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}
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```
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