December 7, 2023 - HYBRID format
Co-located with EMNLP 2023 in Singapore
ArgMining 2023 is over. Thanks to everyone for participating!
Argument mining (also known as "argumentation mining") is a gradually maturing research area within computational linguistics. At its heart, argument mining involves the automatic identification of argumentative structures in free text, such as the conclusions, premises, and inference schemes of arguments as well as their interrelations and counter-considerations. To date, researchers have investigated argument mining on genres such as legal documents, product reviews, news articles, online debates, user-generated web discourse, Wikipedia articles, scholarly data, persuasive essays, tweets, and dialogues. Aside from mining argumentative components, the field focuses on studying argument quality assessment, argument persuasiveness, and the synthesis of argumentative texts.
Argument mining gives rise to various practical applications of great importance. In particular, it provides methods that can find and visualize the main pro and con arguments in a text corpus --- or even in an argument search on the web --- towards a topic or query of interest. In instructional contexts, written and diagrammed arguments represent educational data that can be mined for conveying and assessing students' command of course material. Moreover, debate technologies like IBM Project Debater that drew a lot of attention recently rely heavily on argument mining tasks.
While solutions to basic tasks such as component segmentation and classification slowly become mature, many tasks remain largely unsolved, particularly in more open genres and topical domains. Success in argument mining requires interdisciplinary approaches informed by NLP technology, theories of semantics, pragmatics and discourse, knowledge of discourse in application domains, artificial intelligence, information retrieval, argumentation theory, and computational models of argumentation.
09:00–09:10 Opening Remarks
09:10–10:10 Panel Session
10:10–10:34 Paper Session I
11:00–12:30 Paper Session II
14:00–15:00 Shared Task Session
15:00–16:00 Poster Session
16:00–17:00 Keynote Speech
17:00–17:52 Paper Session III
18:00–18:15 Closing Remarks + Best Paper Award
In celebration of the 10th anniversary of the workshop series, we will host a panel session to reflect on the past and future of argument mining with the following renowned researchers in the field:
Title: "Project Debater and argument mining - a historical and somewhat personal perspective"
IBM Research AI; founder and Principal Investigator of Project Debater
Unsupervised argument reframing with a counterfactual-based approach (Philipp Heinisch, Dimitry Mindlin and Philipp Cimiano)
Best Paper Nominations
We abide by the ACL anti-harassment policy.