@inproceedings{dominguez-etal-2020-themepro,
title = "{T}heme{P}ro: A Toolkit for the Analysis of Thematic Progression",
author = "Dominguez, Monica and
Soler, Juan and
Wanner, Leo",
booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.126",
pages = "1000--1007",
abstract = "This paper introduces ThemePro, a toolkit for the automatic analysis of thematic progression. Thematic progression is relevant to natural language processing (NLP) applications dealing, among others, with discourse structure, argumentation structure, natural language generation, summarization and topic detection. A web platform demonstrates the potential of this toolkit and provides a visualization of the results including syntactic trees, hierarchical thematicity over propositions and thematic progression over whole texts.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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<abstract>This paper introduces ThemePro, a toolkit for the automatic analysis of thematic progression. Thematic progression is relevant to natural language processing (NLP) applications dealing, among others, with discourse structure, argumentation structure, natural language generation, summarization and topic detection. A web platform demonstrates the potential of this toolkit and provides a visualization of the results including syntactic trees, hierarchical thematicity over propositions and thematic progression over whole texts.</abstract>
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%0 Conference Proceedings
%T ThemePro: A Toolkit for the Analysis of Thematic Progression
%A Dominguez, Monica
%A Soler, Juan
%A Wanner, Leo
%S Proceedings of the 12th Language Resources and Evaluation Conference
%D 2020
%8 may
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F dominguez-etal-2020-themepro
%X This paper introduces ThemePro, a toolkit for the automatic analysis of thematic progression. Thematic progression is relevant to natural language processing (NLP) applications dealing, among others, with discourse structure, argumentation structure, natural language generation, summarization and topic detection. A web platform demonstrates the potential of this toolkit and provides a visualization of the results including syntactic trees, hierarchical thematicity over propositions and thematic progression over whole texts.
%U https://aclanthology.org/2020.lrec-1.126
%P 1000-1007
Markdown (Informal)
[ThemePro: A Toolkit for the Analysis of Thematic Progression](https://aclanthology.org/2020.lrec-1.126) (Dominguez et al., LREC 2020)
ACL