Using local knowledge graph construction to scale seq2seq models to multi-document inputs
Query-based open-domain NLP tasks require information synthesis from long and diverse
web results. Current approaches extractively select portions of web text as input to …
web results. Current approaches extractively select portions of web text as input to …
A text summarizer for Arabic
AM Azmi, S Al-Thanyyan - Computer Speech & Language, 2012 - Elsevier
Automatic text summarization is an essential tool in this era of information overloading. In
this paper we present an automatic extractive Arabic text summarization system where the …
this paper we present an automatic extractive Arabic text summarization system where the …
Persian automatic text summarization based on named entity recognition
ME Khademi, M Fakhredanesh - Iranian Journal of Science and …, 2020 - Springer
In this paper, we propose an unsupervised method for summarizing Farsi texts based on our
neural named entity recognition (NER) system. This method consists of three phases …
neural named entity recognition (NER) system. This method consists of three phases …
Similarity versus relatedness: A novel approach in extractive Persian document summarisation
Automatic text summarisation is the process of creating a summary from one or more
documents by eliminating the details and preserving the worthwhile information. This article …
documents by eliminating the details and preserving the worthwhile information. This article …
[PDF][PDF] Persian document summarization by parsumist
M Shamsfard, T Akhavan, ME Joorabchi - World Applied Sciences Journal, 2009 - Citeseer
The rapid growth of online information services has created the problem of information
explosion. Automatic text summarization techniques are essential for dealing with this …
explosion. Automatic text summarization techniques are essential for dealing with this …
Conceptual Text Summarizer: A new model in continuous vector space
Traditional methods of summarization are not cost-effective and possible today. Extractive
summarization is a process that helps to extract the most important sentences from a text …
summarization is a process that helps to extract the most important sentences from a text …
[PDF][PDF] Conceptual Persian Text Summarizer: A New Model in Continuous Vector Space.
Traditional methods of summarization are not cost-effective and possible today. Extractive
summarization is a process that helps to extract the most important sentences from a text …
summarization is a process that helps to extract the most important sentences from a text …
Parsumist: A Persian text summarizer
M Shamsfard, T Akhavan… - … Conference on Natural …, 2009 - ieeexplore.ieee.org
The rapid growth of online information services causes the problem of information explosion.
Automatic text summarization techniques are essential for dealing with this problem. The …
Automatic text summarization techniques are essential for dealing with this problem. The …
Improvement of an abstractive summarization evaluation tool using lexical-semantic relations and weighted syntax tags in Farsi language
A Estiri, M Kahani, H Ghaemi… - 2014 Iranian Conference …, 2014 - ieeexplore.ieee.org
In recent years, high increase in the amount of published web elements and the need to
store, classify, restore, and process them have intensified the importance of natural …
store, classify, restore, and process them have intensified the importance of natural …
Multi-document summarization using tensor decomposition
The problem of extractive text summarization for a collection of documents is defined as
selecting a small subset of sentences so the contents and meaning of the original document …
selecting a small subset of sentences so the contents and meaning of the original document …