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@@ -13,26 +13,42 @@ tags:
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  - inference-extraction
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  - Twitter
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  widget:
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- - text: "Men shouldn’t be making laws about women’s bodies #abortion #Texas"
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- example_title: "Statement"
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- - text: "’Bitter truth’: EU chief pours cold water on idea of Brits keeping EU citizenship after #Brexit HTTPURL via @USER"
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- example_title: "Notification"
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- - text: "Opinion: As the draconian (and then some) abortion law takes effect in #Texas, this is not an idle question for millions of Americans. A slippery slope towards more like-minded Republican state legislatures to try to follow suit. #abortion #F24 HTTPURL"
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- example_title: "Reason"
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- - text: "@USER Blah blah blah blah blah blah"
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- example_title: "None"
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- - text: "republican men and karens make me sick"
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- example_title: "Unlabeled 1"
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- - text: "No empire lives forever! Historical fact! GodWins! 🙏💪🇺🇲"
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- example_title: "Unlabeled 2"
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- - text: "Further author information regarding registration and visa support letters will be sent to the authors soon. #CIKM2023"
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- example_title: "Unlabeled 3"
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- - text: "Ummmmmm"
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- example_title: "Unlabeled 4"
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- - text: "whoever says that The Last Jedi is a good movie is lying or trolling everyone"
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- example_title: "Unlabeled 5"
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- - text: "I don’t think people realize how big this story is GBI Strategies, the group paid $11M+ by Biden PACs to harvest fraudulent voter registrations in *20 states*, may be the root source of Democrat election rigging @USER may have just exposed their entire fraud machine HTTPURL"
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- example_tite: "Unlabeled 6"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # WRAP -- A TACO-based Classifier For Inference and Information-Driven Argument Mining on Twitter
@@ -177,6 +193,27 @@ In total, the WRAP classifier performs as follows:
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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:** 0.02kg CO2
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- ## Licensing
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- [WRAP](https://huggingface.co/TomatenMarc/WRAP) © 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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  - inference-extraction
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  - Twitter
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  widget:
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+ - text: 'Men shouldn’t be making laws about women’s bodies #abortion #Texas'
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+ example_title: Statement
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+ - text: >-
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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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+ example_title: Notification
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+ - text: >-
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+ Opinion: As the draconian (and then some) abortion law takes effect in
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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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+ example_title: Reason
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+ - text: '@USER Blah blah blah blah blah blah'
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+ example_title: None
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+ - text: republican men and karens make me sick
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+ example_title: Unlabeled 1
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+ - text: No empire lives forever! Historical fact! GodWins! 🙏💪🇺🇲
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+ example_title: Unlabeled 2
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+ - text: >-
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+ Further author information regarding registration and visa support letters
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+ will be sent to the authors soon. #CIKM2023
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+ example_title: Unlabeled 3
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+ - text: Ummmmmm
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+ example_title: Unlabeled 4
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+ - text: >-
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+ whoever says that The Last Jedi is a good movie is lying or trolling
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+ everyone
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+ example_title: Unlabeled 5
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+ - text: >-
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+ I don’t think people realize how big this story is GBI Strategies, the group
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+ paid $11M+ by Biden PACs to harvest fraudulent voter registrations in *20
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+ states*, may be the root source of Democrat election rigging @USER may have
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+ just exposed their entire fraud machine HTTPURL
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+ example_tite: Unlabeled 6
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+ base_model:
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+ - vinai/bertweet-base
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  ---
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  # WRAP -- A TACO-based Classifier 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:** 0.02kg CO2
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+ # Licensing
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+ [WRAP](https://huggingface.co/TomatenMarc/WRAP) © 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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+
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+ # Citation
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+
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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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+ ```