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An Investigation Into Different Text Representations to Train an Artificial Immune Network for Clustering Texts
Extracting knowledge from text data is a complex task that is usually performed by first structuring the texts and then applying machine learning algorithms, or by using specific deep architectures capable of dealing ...
Key-texts for Latin American Sociology
(SAGE Publications, 2019)
Key Texts for Latin American Sociology is the first book to curate and translate into English key texts from the Latin American Sociological canon. By bringing together texts from leading sociologists in Argentina, Brazil, ...
Neighborhood Structure-Based Model for Multilingual Arbitrarily-Oriented Text Localization in Images/Videos
The text matter in an image or a video provides more important clue and semantic information of the particular event in the actual situation. Text localization task stands an interesting and challenging research-oriented ...
A Feature Extraction Method Based on Feature Fusion and its Application in the Text-Driven Failure Diagnosis Field
As a basic task in NLP (Natural Language Processing), feature extraction directly determines the quality of text clustering and text classification. However, the commonly used TF-IDF (Term Frequency & Inverse Document ...
Syntactic complexity: Modality or text type? A case study of 5th graders' textual production
(PONTIFICIA UNIV CATOLICA CHILE, FAC LETRAS, 2012)
Syntactic complexity has preferably been studied in written texts, thus relegating exploration of syntactic relations in different types of texts and their constitutive phases to second place. The case study herein presents ...
THE GIZ-EN-SCENE GROUP: ACCOUNT OF AN EXPERIENCE IN DRAMATIZED READINGS OF CLASSICAL TEXTS
(Univ Estadual Paulista-unesp, 2017-07-01)
This text consists of an account of the experience gained over many years of presentations made by the Giz-en-Scene Group, which was founded in 1987 by professors of Classical Philology from UNESP (Latin, Greek) and USP ...
Graph Mining under Linguistic Constraints for Exploring Large Texts
(Revista Computación y Sistemas; Vol. 17 No.2, 2013-06-07)
Abstract. In this paper, we propose an approach to
explore large texts by highlighting coherent sub-parts.
The exploration method relies on a graph representation
of the text according to Hoey’s linguistic model ...
Compressed Full-Text Indexes
(ASSOC COMPUTING MACHINERY, 2007-04)
Full-text indexes provide fast substring search over large text collections. A serious problem of these indexes
has traditionally been their space consumption. A recent trend is to develop indexes that exploit the ...
Similarity-based support for text reuse in technical writing
(Association for Computing Machinery - ACMLausanne, 2015-09)
Technical writing in professional environments, such as user manual authoring for new products, is a task that relies heavily on reuse of content. Therefore, technical content is typically created following a strategy where ...
Named entities as privileged information for hierarchical text clustering
(Association for Computing Machinery - ACMInstituto Superior de Engenharia do Porto - ISEPPorto, 2014-07)
Text clustering is a text mining task which is often used to aid the organization, knowledge extraction, and exploratory search of text collections. Nowadays, the automatic text clustering becomes essential as the volume ...