MAMKit: A Comprehensive Multimodal Argument Mining Toolkit
We propose MAMKit, an open, publicly available, PyTorch toolkit that consolidates datasets and models, providing a standardized platform for experimentation.
Benchmark
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.
A Dataset of Argumentative Dialogues on Scientific Papers
We introduce ArgSciChat, a dataset of 41 argumentative dialogues between scientists on 20 NLP papers.
Detecting and explaining unfairness in consumer contracts through memory networks
We posit that in this domain useful explanations of classifier outcomes can be provided by resorting to legal rationales.
Detecting Arguments in CJEU Decisions on Fiscal State Aid
We present Demosthenes, a novel corpus for argument mining in legal documents, composed of 40 decisions of the Court of Justice of the European Union on matters of fiscal state aid.
Multimodal Argument Mining: A Case Study in Political Debates
We propose a study on multimodal argument mining in the domain of political debates