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Argument Mining

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 284 papers

TitleStatusHype
Joker at SemEval-2018 Task 12: The Argument Reasoning Comprehension with Neural Attention—0
Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset—0
ArgumenText: Searching for Arguments in Heterogeneous Sources—0
HHU at SemEval-2018 Task 12: Analyzing an Ensemble-based Deep Learning Approach for the Argument Mining Task of Choosing the Correct Warrant—0
Argument Harvesting Using Chatbots—0
ESCRITO - An NLP-Enhanced Educational Scoring Toolkit—0
Multi-lingual Argumentative Corpora in English, Turkish, Greek, Albanian, Croatian, Serbian, Macedonian, Bulgarian, Romanian and Arabic—0
Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions.—0
A Corpus of eRulemaking User Comments for Measuring Evaluability of Arguments—0
Increasing Argument Annotation Reproducibility by Using Inter-annotator Agreement to Improve Guidelines—0
Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best PracticesCode0
Intertextual Correspondence for Integrating Corpora—0
Quantifying Qualitative Data for Understanding Controversial Issues—0
Visualizing the Flow of Discourse with a Concept OntologyCode0
Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks—0
Lightly-Supervised Modeling of Argument Persuasiveness—0
Projection of Argumentative Corpora from Source to Target Languages—0
Argument Mining on Twitter: Arguments, Facts and Sources—0
Manual Identification of Arguments with Implicit Conclusions Using Semantic Rules for Argument Mining—0
Mining Argumentative Structure from Natural Language text using Automatically Generated Premise-Conclusion Topic Models—0
Argument Relation Classification Using a Joint Inference Model—0
Annotation of argument structure in Japanese legal documents—0
Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization—0
Patterns of Argumentation Strategies across Topics—0
Proceedings of the 4th Workshop on Argument Mining—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified