| Challenge: | Argument mining aims to identify the structural elements of arguments, denoted as information and inference, in online discourses. |
| Approach: | They propose to use Twitter Arguments to identify structural elements of arguments, denoted as information and inference, in a dataset that uses 1,814 tweets and an annotation framework that incorporates definitions from the Cambridge Dictionary to define and identify argument components. |
| Outcome: | The proposed dataset identifies arguments on Twitter and achieves an 85.06% macro F1 score in detecting arguments. |
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| Challenge: | Argument mining is a challenging analytical task in the rich context of Twitter (now X). |
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GerCCT: An Annotated Corpus for Mining Arguments in German Tweets on Climate Change (2022.lrec-1)
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| Challenge: | Recent work on annotated resources focused on single argument components, i.e., claim or evidence. |
| Approach: | They propose to annotate a German climate change argument corpus using sarcasm and toxic language to facilitate filtering out non-argumentative content. |
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TARGER: Neural Argument Mining at Your Fingertips (P19-3)
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Artem Chernodub, Oleksiy Oliynyk, Philipp Heidenreich, Alexander Bondarenko, Matthias Hagen, Chris Biemann, Alexander Panchenko
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ArgumenText: Searching for Arguments in Heterogeneous Sources (N18-5)
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Yes, we can! Mining Arguments in 50 Years of US Presidential Campaign Debates (P19-1)
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| Challenge: | Political debates are a natural application scenario for Argument Mining. |
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AMPERSAND: Argument Mining for PERSuAsive oNline Discussions (D19-1)
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| Challenge: | Argument mining is a field of corpus-based discourse analysis that involves the automatic identification of argumentative structures in text. |
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Uncovering Implicit Inferences for Improved Relational Argument Mining (2023.eacl-main)
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| Challenge: | Argument mining attempts to extract arguments and their structure from unstructured texts. |
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Transferring Confluent Knowledge to Argument Mining (2022.coling-1)
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| Challenge: | Argument mining is a natural language processing task that seeks to obtain structured arguments from unstructured text. |
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Advances in Argument Mining (P19-4)
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| Challenge: | Argument mining is a rapidly growing area of research and research that has seen significant growth over the past few years. |
| Approach: | Argument mining is a new area of research that uses opinion mining to extract opinions . the 6th ACL workshop on argument mining will be in Florence in 2019 . |
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A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd (N19-1)
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| Challenge: | Existing methods for analyzing discourse-level argument annotations require expensive labor and data. |
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