Deep reinforcement and transfer learning for abstractive text summarization: A review
Abstract Automatic Text Summarization (ATS) is an important area in Natural Language
Processing (NLP) with the goal of shortening a long text into a more compact version by …
Processing (NLP) with the goal of shortening a long text into a more compact version by …
Automatic text summarization of biomedical text data: a systematic review
In recent years, the evolution of technology has led to an increase in text data obtained from
many sources. In the biomedical domain, text information has also evidenced this …
many sources. In the biomedical domain, text information has also evidenced this …
Comparison of text preprocessing methods
CP Chai - Natural Language Engineering, 2023 - cambridge.org
Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …
a key area that directly affects the natural language processing (NLP) application results. For …
A topic modeled unsupervised approach to single document extractive text summarization
Abstract Automatic Text Summarization (ATS) is an essential field in natural language
processing that attempts to condense large text documents so that users can assimilate …
processing that attempts to condense large text documents so that users can assimilate …
[HTML][HTML] Summarization of scholarly articles using BERT and BiGRU: Deep learning-based extractive approach
Extractive text summarization involves selecting and combining key sentences directly from
the original text, rather than generating new content. While various methods, both statistical …
the original text, rather than generating new content. While various methods, both statistical …
Bayesian optimization based score fusion of linguistic approaches for improving legal document summarization
Due to the lengthy and complex nature of legal documents, automatic summarization has
very high applicability in this domain. Recently, several researchers have proposed …
very high applicability in this domain. Recently, several researchers have proposed …
An AI-Resilient Text Rendering Technique for Reading and Skimming Documents
Readers find text difficult to consume for many reasons. Summarization can address some of
these difficulties, but introduce others, such as omitting, misrepresenting, or hallucinating …
these difficulties, but introduce others, such as omitting, misrepresenting, or hallucinating …
Natural language processing in finance: A survey
This survey presents an in-depth review of the transformative role of Natural Language
Processing (NLP) in finance, highlighting its impact on ten major financial applications:(1) …
Processing (NLP) in finance, highlighting its impact on ten major financial applications:(1) …
Abstractive text summarization: State of the art, challenges, and improvements
Specifically focusing on the landscape of abstractive text summarization, as opposed to
extractive techniques, this survey presents a comprehensive overview, delving into state-of …
extractive techniques, this survey presents a comprehensive overview, delving into state-of …
Extractive multi-document Arabic text summarization using evolutionary multi-objective optimization with K-medoid clustering
R Alqaisi, W Ghanem, A Qaroush - IEEE Access, 2020 - ieeexplore.ieee.org
The increasing usage of the Internet and social networks has produced a significant amount
of online textual data. These online textual data led to information overload and redundancy …
of online textual data. These online textual data led to information overload and redundancy …