Argument Mining

18 papers with code · Natural Language Processing
Subtask of Data Mining

Leaderboards

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

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

Argument Mining with Structured SVMs and RNNs

ACL 2017 vene/marseille

We propose a novel factor graph model for argument mining, designed for settings in which the argumentative relations in a document do not necessarily form a tree structure.

ARGUMENT MINING

Classification and Clustering of Arguments with Contextualized Word Embeddings

ACL 2019 UKPLab/acl2019-BERT-argument-classification-and-clustering

We experiment with two recent contextualized word embedding methods (ELMo and BERT) in the context of open-domain argument search.

ARGUMENT MINING WORD EMBEDDINGS

Where is Your Evidence: Improving Fact-checking by Justification Modeling

WS 2018 Tariq60/LIAR-PLUS

Fact-checking is a journalistic practice that compares a claim made publicly against trusted sources of facts.

ARGUMENT MINING EMOTION RECOGNITION

A Bayesian Approach for Sequence Tagging with Crowds

IJCNLP 2019 UKPLab/arxiv2018-bayesian-ensembles

Current methods for sequence tagging, a core task in NLP, are data hungry, which motivates the use of crowdsourcing as a cheap way to obtain labelled data.

ACTIVE LEARNING ARGUMENT MINING NAMED ENTITY RECOGNITION

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

End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture

WS 2018 EdoFrank/EMNLP2018-ArgMining-Morio

Argument Mining (AM) is a relatively recent discipline, which concentrates on extracting claims or premises from discourses, and inferring their structures.

ARGUMENT MINING