Pinned Repositories
ArGenSt
Code for the paper "“Tell me who you are and I tell you how you argue”: Predicting Stances and Arguments for Stakeholder Groups"
ArgsValidNovel
The webseite to the shared task on ArgMining-Workshop 2022 (https://argmining-org.github.io/2022/)
ConclusionGenerationWithFrame
Conclusion Generation (input: premises) with a framed perspective
counterfactualREframing
Paper repo
FramingNN
A cross-parallel-dataset approach to frame classification at variable granularity levels
RelatePerspectives-sweetspots
Repo to the EMNLP23-Paper "Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives!"
SemEval233FramingPublic
Our modular approach "solving" the SemEval2023 shared task on "Detecting the Category, THE FRAMING, and the Persuasion Techniques in Online News in a Multi-lingual Setup"
Squirrel-Webservice
SquirrelWebObject
ValidityNoveltyRegressor
A (so far without prior knowledge) transformer approach aiming to predict validity and novelty of a conclusion in an argument
phhei's Repositories
phhei/ArgsValidNovel
The webseite to the shared task on ArgMining-Workshop 2022 (https://argmining-org.github.io/2022/)
phhei/SemEval233FramingPublic
Our modular approach "solving" the SemEval2023 shared task on "Detecting the Category, THE FRAMING, and the Persuasion Techniques in Online News in a Multi-lingual Setup"
phhei/FramingNN
A cross-parallel-dataset approach to frame classification at variable granularity levels
phhei/ArGenSt
Code for the paper "“Tell me who you are and I tell you how you argue”: Predicting Stances and Arguments for Stakeholder Groups"
phhei/ConclusionGenerationWithFrame
Conclusion Generation (input: premises) with a framed perspective
phhei/counterfactualREframing
Paper repo
phhei/RelatePerspectives-sweetspots
Repo to the EMNLP23-Paper "Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives!"
phhei/Squirrel-Webservice
phhei/SquirrelWebObject
phhei/ValidityNoveltyRegressor
A (so far without prior knowledge) transformer approach aiming to predict validity and novelty of a conclusion in an argument