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Argumentation Mining: Where are we now, where do we want to be and how do we get there?

Published: 04 December 2013 Publication History

Abstract

This paper gives a short overview of the state-of-the-art and goals of argumentation mining and it provides ideas for further research. Its content is based on two invited lectures on argumentation mining respectively at the FIRE 2013 conference at the India International Center in New Delhi, India and a lecture given as SICSA distinguished visitor at the University of Dundee, UK in the summer of 2014.

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Cited By

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  • (2023)Argument Mining with Graph Representation LearningProceedings of the Nineteenth International Conference on Artificial Intelligence and Law10.1145/3594536.3595152(371-380)Online publication date: 19-Jun-2023
  • (2023)Hierarchical neural network: Integrate divide-and-conquer and unified approach for argument unit recognition and classificationInformation Sciences10.1016/j.ins.2022.12.050624(796-810)Online publication date: May-2023
  • (2021)Opinion Building Based on the Argumentative Dialogue System BEAIncreasing Naturalness and Flexibility in Spoken Dialogue Interaction10.1007/978-981-15-9323-9_27(307-318)Online publication date: 11-Mar-2021
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  1. Argumentation Mining: Where are we now, where do we want to be and how do we get there?

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    cover image ACM Other conferences
    FIRE '12 & '13: Proceedings of the 4th and 5th Annual Meetings of the Forum for Information Retrieval Evaluation
    December 2013
    105 pages
    ISBN:9781450328302
    DOI:10.1145/2701336
    • Editors:
    • Prasenjit Majumder,
    • Mandar Mitra,
    • Madhulika Agrawal,
    • Parth Mehta
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 04 December 2013

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    Author Tags

    1. State-of-the-Art Survey
    2. Structured Learning
    3. Text Entailment

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    FIRE '13
    FIRE '13: Forum for Information Retrieval Evaluation
    December 4 - 6, 2013
    New Delhi, India

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    Cited By

    View all
    • (2023)Argument Mining with Graph Representation LearningProceedings of the Nineteenth International Conference on Artificial Intelligence and Law10.1145/3594536.3595152(371-380)Online publication date: 19-Jun-2023
    • (2023)Hierarchical neural network: Integrate divide-and-conquer and unified approach for argument unit recognition and classificationInformation Sciences10.1016/j.ins.2022.12.050624(796-810)Online publication date: May-2023
    • (2021)Opinion Building Based on the Argumentative Dialogue System BEAIncreasing Naturalness and Flexibility in Spoken Dialogue Interaction10.1007/978-981-15-9323-9_27(307-318)Online publication date: 11-Mar-2021
    • (2020)Towards Classifying Parts of German Legal Writing Styles in German Legal Judgments2020 10th International Conference on Advanced Computer Information Technologies (ACIT)10.1109/ACIT49673.2020.9208956(451-454)Online publication date: Sep-2020
    • (2019)Utilizing Argument Mining Techniques for Argumentative Dialogue Systems9th International Workshop on Spoken Dialogue System Technology10.1007/978-981-13-9443-0_12(131-142)Online publication date: 25-Sep-2019
    • (2019)A Hotel Review Corpus for Argument MiningCognitive Systems and Signal Processing10.1007/978-981-13-7983-3_29(327-336)Online publication date: 28-Apr-2019
    • (2019)Discourse-Driven Argument Mining in Scientific AbstractsNatural Language Processing and Information Systems10.1007/978-3-030-23281-8_15(182-194)Online publication date: 21-Jun-2019
    • (2017)A Bayesian approach to argument-based reasoning for attack estimationProceedings of the 26th International Joint Conference on Artificial Intelligence10.5555/3171642.3171679(249-255)Online publication date: 19-Aug-2017
    • (2017)Parsing Argumentation Structures in Persuasive EssaysComputational Linguistics10.1162/COLI_a_0029543:3(619-659)Online publication date: Sep-2017
    • (2017)Debating Technology for Dialogical ArgumentACM Transactions on Internet Technology10.1145/300721017:3(1-23)Online publication date: 12-Jun-2017
    • Show More Cited By

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