A comprehensive review on feature set used for anaphora resolution
Abstract In linguistics, the Anaphora Resolution (AR) is the method of identifying the
antecedent for anaphora. In simple terms, this is the problem that helps to solve what the …
antecedent for anaphora. In simple terms, this is the problem that helps to solve what the …
[HTML][HTML] Review of Ambiguity Problem in Text Summarization Using Hybrid ACA and SLR
Text summarization is the process of creating a text summary that contains important
information from a text document. In recent years, significant progress has been made in the …
information from a text document. In recent years, significant progress has been made in the …
Anaphora resolved abstractive text summarization (AR-ATS) system
Many people in this world are fond of reading, and text format is regarded as the official way
of communication. This has resulted in an increased production of text data in a highly …
of communication. This has resulted in an increased production of text data in a highly …
A multi-level methodology for the automated translation of a coreference resolution dataset: an application to the Italian language
In the last decade, the demand for readily accessible corpora has touched all areas of
natural language processing, including coreference resolution. However, it is one of the …
natural language processing, including coreference resolution. However, it is one of the …
An online multi-source summarization algorithm for text readability in topic-based search
A Curiel, C Gutiérrez-Soto… - Computer Speech & …, 2021 - Elsevier
Web search users are likely to face problems related to the availability of large amounts of
data. As the quantity of online content grows, the risk of missing relevant information during …
data. As the quantity of online content grows, the risk of missing relevant information during …
Generation of coherent multi-sentence texts with a coherence mechanism
Automatic generation of long texts containing multiple sentences has many applications in
the field of Natural Language Processing (NLP) including question answering, machine …
the field of Natural Language Processing (NLP) including question answering, machine …
WATS-SMS: a T5-based french wikipedia abstractive text summarizer for SMS
Text summarization remains a challenging task in the natural language processing field
despite the plethora of applications in enterprises and daily life. One of the common use …
despite the plethora of applications in enterprises and daily life. One of the common use …
A developed framework for multi-document summarization using softmax regression and spider monkey optimization methods
PK Wilson, JR Jeba - Soft Computing, 2022 - Springer
In everyday life, multi-document summarization (MDS) methods are becoming tremendous
attention in different fields, especially for online documents, because this online document …
attention in different fields, especially for online documents, because this online document …
Ontology semantic integration based on convolutional neural network
Y Feng, L Fan - Neural Computing and Applications, 2019 - Springer
As the most direct media form in the Internet age, text information has received more and
more attention in the era of the maturity of social networks and the rapid development of …
more attention in the era of the maturity of social networks and the rapid development of …
Can Anaphora Resolution Improve Extractive Query-Focused Multi-Document Summarization?
Query-Focused Multi-Document Summarization (QF-MDS) is the task of automatically
generating a summary from a collection of documents that answers a specific user's query …
generating a summary from a collection of documents that answers a specific user's query …