About

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

You can find evaluation results in the subtasks. You can also submitting evaluation metrics for this task.

Subtasks

Datasets

Latest papers with code

GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns

8 Apr 2021plkumjorn/GrASP

Data exploration is an important step of every data science and machine learning project, including those involving textual data.

ARGUMENT MINING

10
08 Apr 2021

Multi-Task Attentive Residual Networks for Argument Mining

24 Feb 2021AGalassi/StructurePrediction18

We propose a residual architecture that exploits attention, multi-task learning, and makes use of ensemble.

COMPONENT CLASSIFICATION LINK PREDICTION MULTI-TASK LEARNING RELATION CLASSIFICATION

2
24 Feb 2021

LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content

28 Jan 2021LCS2-IIITD/LESA-EACL-2021

We resolve the latter issue by annotating a Twitter dataset which aims at providing a testing ground on a large unstructured dataset.

ARGUMENT MINING LANGUAGE MODELLING

6
28 Jan 2021

Argument Mining Driven Analysis of Peer-Reviews

10 Dec 2020fromm-m/aaai2021-am-peer-reviews

Peer reviewing is a central process in modern research and essential for ensuring high quality and reliability of published work.

ARGUMENT MINING

5
10 Dec 2020

Aspect-Based Argument Mining

1 Nov 2020trtm/ABAM

In this work, we are presenting the task of Aspect-Based Argument Mining (ABAM), with the essential subtasks of Aspect Term Extraction (ATE) and Nested Segmentation (NS).

ARGUMENT MINING

3
01 Nov 2020

Extracting Implicitly Asserted Propositions in Argumentation

EMNLP 2020 yohanjo/emnlp20_prop_extr

Our study may inform future research on argument mining and the semantics of these rhetorical devices in argumentation.

ARGUMENT MINING

2
06 Oct 2020

AMPERSAND: Argument Mining for PERSuAsive oNline Discussions

IJCNLP 2019 tuhinjubcse/AMPERSAND-EMNLP2019

Our approach for relation prediction uses contextual information in terms of fine-tuning a pre-trained language model and leveraging discourse relations based on Rhetorical Structure Theory.

ARGUMENT MINING LANGUAGE MODELLING

13
30 Apr 2020

TARGER: Neural Argument Mining at Your Fingertips

ACL 2019 achernodub/targer

We present TARGER, an open source neural argument mining framework for tagging arguments in free input texts and for keyword-based retrieval of arguments from an argument-tagged web-scale corpus.

ARGUMENT MINING

224
01 Jul 2019

Yes, we can! Mining Arguments in 50 Years of US Presidential Campaign Debates

ACL 2019 ElecDeb60To16/Dataset

We address this task in an empirical manner by annotating 39 political debates from the last 50 years of US presidential campaigns, creating a new corpus of 29k argument components, labeled as premises and claims.

ARGUMENT MINING

7
01 Jul 2019