Academic Journal
Evaluating a typology of signals for automatic detection of complementarity
| العنوان: | Evaluating a typology of signals for automatic detection of complementarity |
|---|---|
| المؤلفون: | Jackson Wilke da Cruz Souza, Ariani Di Felippo |
| المصدر: | Domínios de Lingu@gem, Vol 16, Iss 4, Pp 1517-1543 (2022) |
| بيانات النشر: | Programa de Pós-Graduação em Estudos Linguísticos, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Language and Literature LCC:Philology. Linguistics |
| مصطلحات موضوعية: | cross-document structure theory, automatic summarization, multi-document corpus, complementarity, textual signal, Language and Literature, Philology. Linguistics, P1-1091 |
| الوصف: | In a cluster of news texts on the same event, two sentences from different documents might express different multi-document phenomena (redundancy, complementarity, and contradiction). Cross-Document Structure Theory (CST) provides labels to explicitly represent these phenomena. The automatic identification of the multi-document phenomena and their correspondent CST relations is definitely handy for Automatic Multi-Document Summarization since it helps computers understand text meaning. In this paper, we evaluated a typology of (textual) signals for the automatic detection of the CST relations of complementarity (i.e., Historical background, Follow-up and Elaboration) in a multi-document corpus of news texts in Brazilian Portuguese. Using algorithms from different machine-learning paradigms, we obtained classifiers that achieved high general accuracy (higher than 90%), indicating the potential of the signals. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English Spanish; Castilian Portuguese |
| تدمد: | 1980-5799 |
| Relation: | https://seer.ufu.br/index.php/dominiosdelinguagem/article/view/63776; https://doaj.org/toc/1980-5799 |
| DOI: | 10.14393/DL52-v16n4a2022-10 |
| URL الوصول: | https://doaj.org/article/db03c93c888942298e28fb70bbb344ee |
| رقم الانضمام: | edsdoj.b03c93c888942298e28fb70bbb344ee |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 19805799 |
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| DOI: | 10.14393/DL52-v16n4a2022-10 |