ArgMining 2020 invites the submission of long and short papers on substantial, original, and unpublished research in all aspects of argument mining.
Suggested topics of the workshop include but are not limited to:
– Automatic identification of argument components (premises and conclusions or more fine-grained), and relations between arguments and counterarguments (support and attack or more fine-grained) in as well as across documents;
– Automatic assessment of properties of arguments and argumentation, such as argumentation schemes, stance, quality, and persuasiveness;
– Automatic synthesis of arguments and their components, including the consideration of discourse goals (e.g., stages of a critical discussion or rhetorical strategies) and the possibly needed preceding analyses;
– Creation and evaluation of argument annotation schemes, relationships to linguistic and discourse annotations, (semi-) automatic argument annotation methods and tools, and creation of argumentation corpora;
– Management of spoken and transcribed dialogue, argument mining from such data, including additional challenges posed by real-time processing;
– Combination of NLP methods and AI models developed for argumentation, such as abstract and structured argumentation frameworks;
– Combination of information retrieval methods with AM, e.g. in order to build the next generation of argumentative (web) search engines;
– Use of AM for research from the social sciences, digital humanities, and related fields;
– Real-world applications, including argument web search, opinion analysis in customer reviews, argument analysis in meetings, and applications in specific domains, such as education, law, and scientific writing.