SOTAVerified

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

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Showing 151–160 of 284 papers

TitleStatusHype
"Sharks are not the threat humans are": Argument Component Segmentation in School Student Essays—0
“Sharks are not the threat humans are”: Argument Component Segmentation in School Student Essays—0
Sharper Reasons: Argument Mining Leveraged with Confluent Knowledge—0
SMM4H 2022 Task 2: Dataset for stance and premise detection in tweets about health mandates related to COVID-19—0
Summarising the points made in online political debates—0
Summarizing Multi-Party Argumentative Conversations in Reader Comment on News—0
Team Hitachi @ AutoMin 2021: Reference-free Automatic Minuting Pipeline with Argument Structure Construction over Topic-based Summarization—0
The CASS Technique for Evaluating the Performance of Argument Mining—0
The Discussion Tracker Corpus of Collaborative Argumentation—0
The SENSEI Annotated Corpus: Human Summaries of Reader Comment Conversations in On-line News—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified