Argument Mining
82 papers with code • 1 benchmarks • 6 datasets
Argument Mining is a field of corpus-based discourse analysis that involves the automatic identification of argumentative structures in text.
Source: AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
Benchmarks
These leaderboards are used to track progress in Argument Mining
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UKP
DebateSum
Subtasks
Most implemented papers
Unit Segmentation of Argumentative Texts
The segmentation of an argumentative text into argument units and their non-argumentative counterparts is the first step in identifying the argumentative structure of the text.
Visualizing the Flow of Discourse with a Concept Ontology
Understanding and visualizing human discourse has long being a challenging task.
Extracting Arguments from Korean Question and Command: An Annotated Corpus for Structured Paraphrasing
Intention identification is a core issue in dialog management.
Argumentative Link Prediction using Residual Networks and Multi-Objective Learning
AGalassi/StructurePrediction18
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WS 2018
We explore the use of residual networks for argumentation mining, with an emphasis on link prediction.
ArguminSci: A Tool for Analyzing Argumentation and Rhetorical Aspects in Scientific Writing
Argumentation is arguably one of the central features of scientific language.
Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates
Most of the existing works on argument mining cast the problem of argumentative structure identification as classification tasks (e. g. attack-support relations, stance, explicit premise/claim).
Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning
Common-sense argumentative reasoning is a challenging task that requires holistic understanding of the argumentation where external knowledge about the world is hypothesized to play a key role.
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection
UKPLab/emnlp2018-argmin-workshop-pd3
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WS 2018
We consider unsupervised cross-lingual transfer on two tasks, viz., sentence-level argumentation mining and standard POS tagging.
Cross-Lingual Argumentative Relation Identification: from English to Portuguese
Argument mining aims to detect and identify argument structures from textual resources.
