Abstractive summarization: An overview of the state of the art
Summarization, is to reduce the size of the document while preserving the meaning, is one
of the most researched areas among the Natural Language Processing (NLP) community …
of the most researched areas among the Natural Language Processing (NLP) community …
Question‐driven text summarization using an extractive‐abstractive framework
M Abazari Kia - 2024 - repository.essex.ac.uk
Question‐driven automatic text summarization is a popular technique to produce concise
and informative answers to specific questions using a document collection. Both query …
and informative answers to specific questions using a document collection. Both query …
Neural Classification of Linguistic Coherence Using Long Short-Term Memories
Given a set of sentences, a sentence orderer permutes the sentences in a way that the final
text is linguistically coherent and semantically understandable. In this work, we focus on the …
text is linguistically coherent and semantically understandable. In this work, we focus on the …