The Lexicon of Argumentation for Argument Mining: methodological considerations
In this article, in contrast with numerous statistical approaches which show little interest for linguistic analysis, we propose methodological considerations aiming at identifying several categories of linguistic cues which are typical of argumentation and can be used for automatic argument mining...
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| Format: | Article |
| Language: | English |
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Presses Universitaires du Midi
2020-12-01
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| Series: | Anglophonia |
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| Online Access: | https://journals.openedition.org/anglophonia/3187 |
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| author | Patrick Saint Dizier |
| author_facet | Patrick Saint Dizier |
| author_sort | Patrick Saint Dizier |
| collection | DOAJ |
| description | In this article, in contrast with numerous statistical approaches which show little interest for linguistic analysis, we propose methodological considerations aiming at identifying several categories of linguistic cues which are typical of argumentation and can be used for automatic argument mining within the framework of computational linguistics. These are elaborated from a corpus of arguments that was compiled for this study. An argument being a relation between a controversial statement (claim) and a support or an attack, we deal with the marks specific to each class and those related to the expression of the relations which hold between them. To conclude we propose an experimental model to evaluate the strength of each of these components. Some elements of an implementation and an evaluation are provided. |
| format | Article |
| id | doaj-art-8a32e214da064b10bb2386113a22a3a8 |
| institution | Kabale University |
| issn | 1278-3331 2427-0466 |
| language | English |
| publishDate | 2020-12-01 |
| publisher | Presses Universitaires du Midi |
| record_format | Article |
| series | Anglophonia |
| spelling | doaj-art-8a32e214da064b10bb2386113a22a3a82025-01-30T12:32:58ZengPresses Universitaires du MidiAnglophonia1278-33312427-04662020-12-012910.4000/anglophonia.3187The Lexicon of Argumentation for Argument Mining: methodological considerationsPatrick Saint DizierIn this article, in contrast with numerous statistical approaches which show little interest for linguistic analysis, we propose methodological considerations aiming at identifying several categories of linguistic cues which are typical of argumentation and can be used for automatic argument mining within the framework of computational linguistics. These are elaborated from a corpus of arguments that was compiled for this study. An argument being a relation between a controversial statement (claim) and a support or an attack, we deal with the marks specific to each class and those related to the expression of the relations which hold between them. To conclude we propose an experimental model to evaluate the strength of each of these components. Some elements of an implementation and an evaluation are provided.https://journals.openedition.org/anglophonia/3187argumentationcomputational linguisticscorpus construction |
| spellingShingle | Patrick Saint Dizier The Lexicon of Argumentation for Argument Mining: methodological considerations Anglophonia argumentation computational linguistics corpus construction |
| title | The Lexicon of Argumentation for Argument Mining: methodological considerations |
| title_full | The Lexicon of Argumentation for Argument Mining: methodological considerations |
| title_fullStr | The Lexicon of Argumentation for Argument Mining: methodological considerations |
| title_full_unstemmed | The Lexicon of Argumentation for Argument Mining: methodological considerations |
| title_short | The Lexicon of Argumentation for Argument Mining: methodological considerations |
| title_sort | lexicon of argumentation for argument mining methodological considerations |
| topic | argumentation computational linguistics corpus construction |
| url | https://journals.openedition.org/anglophonia/3187 |
| work_keys_str_mv | AT patricksaintdizier thelexiconofargumentationforargumentminingmethodologicalconsiderations AT patricksaintdizier lexiconofargumentationforargumentminingmethodologicalconsiderations |