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Found 8 papers, 6 papers with code
Detecting Arguments in CJEU Decisions on Fiscal State Aid
The successful application of argument mining in the legal domain can dramatically impact many disciplines related to law.
Multimodal Argument Mining: A Case Study in Political Debates
We propose a study on multimodal argument mining in the domain of political debates.
PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets
Disambiguating the meaning of such terms might help the detection of misogyny.
A Corpus for Sentence-level Subjectivity Detection on English News Articles
We develop novel annotation guidelines for sentence-level subjectivity detection, which are not limited to language-specific cues.
ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers
The applications of conversational agents for scientific disciplines (as expert domains) are understudied due to the lack of dialogue data to train such agents.
Ranked #1 on
Fact Selection
on ArgSciChat
Combining Transformers with Natural Language Explanations
Many NLP applications require models to be interpretable.
Tree-Constrained Graph Neural Networks For Argument Mining
By imposing a series of regularization constraints to the learning problem, we exploit a pooling mechanism that incorporates such notion of fragments within the node soft assignment function that produces the embeddings.
Memory networks for consumer protection:unfairness exposed
Recent work has demonstrated how data-driven AI methods can leverage consumer protection by supporting the automated analysis of legal documents.
