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Using Conceptual Recurrence and Consistency Metrics for Topic Segmentation in Debate
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In: Applied Sciences; Volume 12; Issue 6; Pages: 2952 (2022)
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Abstract:
We propose a topic segmentation model, CSseg (Conceptual Similarity-segmenter), for debates based on conceptual recurrence and debate consistency metrics. We research whether the conceptual similarity of conceptual recurrence and debate consistency metrics relate to topic segmentation. Conceptual similarity is a similarity between utterances in conceptual recurrence analysis, and debate consistency metrics represent the internal coherence properties that maintain the debate topic in interactions between participants. Based on the research question, CSseg segments transcripts by applying similarity cohesion methods based on conceptual similarities; the topic segmentation is affected by applying weights to conceptual similarities having debate internal consistency properties, including other-continuity, self-continuity, chains of arguments and counterarguments, and the topic guide of moderator. CSseg provides a user-driven topic segmentation by allowing the user to adjust the weights of the similarity cohesion methods and debate consistency metrics. It takes an approach that alleviates the problem whereby each person judges the topic segments differently in debates and multi-party discourse. We implemented the prototype of CSseg by utilizing the Korean TV debate program MBC 100-Minute Debate and analyzed the results by use cases. We compared CSseg and a previous model LCseg (Lexical Cohesion-segmenter) with the evaluation metrics Pk and WD. CSseg had greater performance than LCseg in debates.
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Keyword:
conceptual recurrence plot; debate; natural language processing; text mining; topic segmentation; visual analytics
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URL: https://doi.org/10.3390/app12062952
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| 2 |
Selbstreparaturen in der schriftlichen Interaktion : eine kontrastive Analyse deutscher und russischer Kurznachrichtenkommunikation
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BLLDB
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UB Frankfurt Linguistik
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| 3 |
Transdisciplinary Analysis of a Corpus of French Newsreels: The ANTRACT Project
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In: ISSN: 1938-4122 ; Digital Humanities Quarterly ; https://hal.archives-ouvertes.fr/hal-03166755 ; Digital Humanities Quarterly, Alliance of Digital Humanities, 2021, Special Issue on AudioVisual Data in DH, 15 (1) ; http://digitalhumanities.org/dhq/ (2021)
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| 4 |
Multilingual Email Zoning - Segmenting Multilingual Email Text Into Zones
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| 9 |
ekdosis: Using LuaLaTeX for Producing TEI xml Compliant Critical Editions and Highlighting Parallel Writings
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In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-02779803 ; Journal of Data Mining and Digital Humanities, Episciences.org, 2020, Special Issue on Collecting, Preserving, and Disseminating Endangered Cultural Heritage for New Understandings through Multilingual Approaches, ⟨10.46298/jdmdh.6536⟩ ; https://jdmdh.episciences.org/6536 (2020)
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| 10 |
Books of Hours: the First Liturgical Corpus for Text Segmentation
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In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02931294 ; 12th Language Resources and Evaluation Conference, May 2020, Marseille (Virtual), France. pp.776-784 (2020)
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| 11 |
Cooking recipes in classical French and in modern French: An “action-inducing genre”? ; Discours programmateurs : le cas des recettes de cuisine en français classique et en français moderne
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In: ISSN: 0023-8368 ; EISSN: 1957-7982 ; Langue française ; https://hal.archives-ouvertes.fr/hal-02865614 ; Langue française, Armand Colin, 2020, Incitation à l'action et genres de discours programmateurs, pp.95-110. ⟨10.3917/lf.206.0095⟩ ; https://www.revues.armand-colin.com/lettres-langues/langue-francaise/langue-francaise-no206-22020/discours-programmateurs-cas-recettes-cuisine-francais-classique-francais-moderne (2020)
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| 12 |
Hierarchical Text Segmentation for Medieval Manuscripts
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In: COLING'2020 The 28th International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03100170 ; COLING'2020 The 28th International Conference on Computational Linguistics, Dec 2020, Barcelona, Spain. pp.6240-6251 ; https://www.aclweb.org/anthology/2020.coling-main.549.pdf (2020)
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| 13 |
Discours programmateurs : le cas des recettes de cuisine en français classique et en français moderne
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In: Langue française, N 206, 2, 2020-06-11, pp.95-110 (2020)
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| 17 |
Extractive Text-Based Summarization of Arabic videos: Issues, Approaches and Evaluations
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In: ICALP: International Conference on Arabic Language Processing ; https://hal.archives-ouvertes.fr/hal-02314238 ; ICALP: International Conference on Arabic Language Processing, Oct 2019, Nancy, France. pp.65-78, ⟨10.1007/978-3-030-32959-4_5⟩ (2019)
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| 18 |
Unsupervised word discovery for computational language documentation ; Découverte non-supervisée de mots pour outiller la linguistique de terrain
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In: https://tel.archives-ouvertes.fr/tel-02286425 ; Artificial Intelligence [cs.AI]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLS062⟩ (2019)
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| 20 |
Summarizing videos into a target language: Methodology, architectures and evaluation
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In: ISSN: 1064-1246 ; EISSN: 1875-8967 ; Journal of Intelligent and Fuzzy Systems ; https://hal.archives-ouvertes.fr/hal-02271287 ; Journal of Intelligent and Fuzzy Systems, IOS Press, 2019, 1, pp.1-12. ⟨10.3233/JIFS-179350⟩ (2019)
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