Identifying Prominent Arguments in Online Debates Using Semantic Textual Similarity

Online debates sparkle argumentative discussions from which generally accepted arguments often emerge. We consider the task of unsupervised identification of prominent argument in online debates. As a first step, in this paper we perform a cluster analysis using semantic textual similarity to detect similar arguments. We perform a preliminary cluster evaluation and error analysis based on cluster-class matching against a manually labeled dataset.

• Publication year

  2015

• Venue

  ArgMining@HLT-NAACL

• Publication date

  2015-06-01

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/v1/W15-0514
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• On comparing partitions

  2015influential reference
• Identifying Appropriate Support for Propositions in Online User Comments

  2014cited by this paper
• Back up your Stance: Recognizing Arguments in Online Discussions

  2014cited by this paper
• Finding Arguing Expressions of Divergent Viewpoints in Online Debates

  2014cited by this paper
• Why are You Taking this Stance? Identifying and Classifying Reasons in Ideological Debates

  2014cited by this paper
• Analyzing Argumentative Discourse Units in Online Interactions

  2014cited by this paper
• Distributed Representations of Words and Phrases and their Compositionality

  2013cited by this paper
• Argumentation Mining: Where are we now, where do we want to be and how do we get there?

  2013cited by this paper
• Efficient Estimation of Word Representations in Vector Space

  2013cited by this paper
• TakeLab: Systems for Measuring Semantic Text Similarity

  2012cited by this paper
• Combining Textual Entailment and Argumentation Theory for Supporting Online Debates Interactions

  2012cited by this paper
• Recognizing Arguing Subjectivity and Argument Tags

  2012cited by this paper
• SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity

  2012cited by this paper
• Cats Rule and Dogs Drool!: Classifying Stance in Online Debate

  2011cited by this paper
• Random Walks for Text Semantic Similarity

  2009cited by this paper
• A comparison of extrinsic clustering evaluation metrics based on formal constraints

  2009cited by this paper
• A comparison of extrinsic clustering evaluation metrics based on formal constraints

  2008cited by this paper
• V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure

  2007influential reference
• Automatic detection of arguments in legal texts

  2007cited by this paper
• Survey of clustering algorithms

  2005cited by this paper
• Hierarchical Grouping to Optimize an Objective Function

  1963cited by this paper

• Improving natural language arguments' identification by leveraging semantic similarity

  2025cites this paper
• Evaluating LLMs on Argument Mining Tasks in Brazilian Portuguese Debate Data

  2025cites this paper
• A Hybrid Intelligence Method for Argument Mining

  2024cites this paper
• Pretrained language models for semantics-aware data harmonisation of observational clinical studies in the era of big data

  2024cites this paper
• ADEA: An Argumentative Dialogue Dataset on Ethical Issues Concerning Future A.I. Applications

  2024cites this paper
• AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach

  2023cites this paper
• Self-imposed Filter Bubble Model for Argumentative Dialogues

  2023cites this paper
• Prompt, Condition, and Generate: Classification of Unsupported Claims with In-Context Learning

  2023cites this paper
• Argument and explanation

  2023cites this paper
• User Interest Modelling in Argumentative Dialogue Systems

  2022cites this paper
• Transferring Confluent Knowledge to Argument Mining

  2022cites this paper
• Argument Similarity Assessment in German for Intelligent Tutoring: Crowdsourced Dataset and First Experiments

  2022cites this paper
• ArgueBERT: How To Improve BERT Embeddings for Measuring the Similarity of Arguments

  2021cites this paper
• Quality-aware Argument Retrieval with Topical Clustering

  2021cites this paper
• Argumentation and explainable artificial intelligence: a survey

  2021cites this paper
• Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding

  2021cites this paper
• Argumentation-Driven Evidence Association in Criminal Cases

  2021cites this paper
• Fine and Coarse Granular Argument Classification before Clustering

  2021cites this paper
• Man vs. Machine: Master Debating with Argumentative Dialogue

  2020cites this paper
• Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis

  2020cites this paper
• Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning

  2020cites this paper
• Segmenting and Clustering Noisy Arguments

  2020cites this paper
• Structure or Content? Towards Assessing Argument Relevance

  2020cites this paper
• Measuring prominence of scientific work in online news as a proxy for impact

  2020cites this paper
• ArgumenText: Argument Classification and Clustering in a Generalized Search Scenario

  2020cites this paper
• Argument Mining: A Survey

  2020cites this paper
• Contrastive Reasons Detection and Clustering from Online Polarized Debate

  2019cites this paper
• University ’ s repository of research publications and other research outputs Summarising the points made in online political debates Conference or Workshop Item

  2019cites this paper
• PhAITV: A Phrase Author Interaction Topic Viewpoint Model for the Summarization of Reasons Expressed by Polarized Stances

  2019cites this paper
• Classification and Clustering of Arguments with Contextualized Word Embeddings

  2019cites this paper
• The evolution of argumentation mining: From models to social media and emerging tools

  2019cites this paper
• Finding Reasons for Vaccination Hesitancy: Evaluating Semi-Automatic Coding of Internet Discussion Forums

  2019cites this paper
• Clustering of Argument Graphs Using Semantic Similarity Measures

  2019cites this paper
• Procedurally Rhetorical Verb-Centric Frame Semantics as a Knowledge Representation for Argumentation Analysis of Biochemistry Articles

  2019cites this paper
• Knowledge Acquisition and Corpus for Argumentation-Based Chatbots

  2019cites this paper
• Topics2Themes : Computer-Assisted Argument Extraction by Visual Analysis of Important Topics

  2018cites this paper
• Dave the debater: a retrieval-based and generative argumentative dialogue agent

  2018cites this paper
• Gradual Semantics Accounting for Similarity between Arguments

  2018cites this paper
• Argumentation Mining in Parliamentary Discourse

  2018cites this paper
• Quantifying Qualitative Data for Understanding Controversial Issues

  2018cites this paper
• Building an Argument Search Engine for the Web

  2017cites this paper
• Toward Stance Classification Based on Claim Microstructures

  2017cites this paper
• Common Round: Application of Language Technologies to Large-Scale Web Debates

  2017cites this paper
• What works and what does not: Classifier and feature analysis for argument mining

  2017cites this paper
• Classifying Frames at the Sentence Level in News Articles

  2017cites this paper
• Using Argumentative Structure to Interpret Debates in Online Deliberative Democracy and eRulemaking

  2017cites this paper
• Computational Argumentation Quality Assessment in Natural Language

  2017cites this paper
• “PageRank” for Argument Relevance

  2017cites this paper
• Debbie, the Debate Bot of the Future

  2017cites this paper
• Using Argumentation to Improve Classification in Natural Language Problems

  2017cites this paper
• Summarising the points made in online political debates

  2016cites this paper
• An Exploration of the Relatedness Problem between Arguments : Combining the Generative Lexicon with Lexical Inference

  2016influential citation
• Fill the Gap! Analyzing Implicit Premises between Claims from Online Debates

  2016cites this paper
• Learning Text Similarity with Siamese Recurrent Networks

  2016cites this paper
• Social Media Argumentation Mining: The Quest for Deliberateness in Raucousness

  2016cites this paper
• 20 15512 – Debating Technologies 2 Table of Contents Executive Summary

  2016cites this paper
• How Natural is Argument in Natural Dialogue?

  2016cites this paper
• Using Argument Mining to Assess the Argumentation Quality of Essays

  2016cites this paper
• ArgMine: Argumentation Mining from Text

  2016cites this paper
• Measuring the Similarity of Sentential Arguments in Dialogue

  2016influential citation
• Argumentation Mining in Parliamentary Discourse

  2015influential citation
• An exploration of the relatedness problem between arguments: combining the generative lexicon with inference

  2015influential citation
• Argument Mining: Extracting Arguments from Online Dialogue

  2015cites this paper
• Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse

  2015cites this paper
• Prompt, Condition, and Generate Classification of Unsupported Claims with In-Context Learning

  year unknowncites this paper