From Extractive To Abstractive Summarization A Journey
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From Extractive To Abstractive Summarization A Journey
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Author : Parth Mehta
language : en
Publisher: Springer
Release Date : 2019-08-13
From Extractive To Abstractive Summarization A Journey written by Parth Mehta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-13 with Computers categories.
This book describes recent advances in text summarization, identifies remaining gaps and challenges, and proposes ways to overcome them. It begins with one of the most frequently discussed topics in text summarization – ‘sentence extraction’ –, examines the effectiveness of current techniques in domain-specific text summarization, and proposes several improvements. In turn, the book describes the application of summarization in the legal and scientific domains, describing two new corpora that consist of more than 100 thousand court judgments and more than 20 thousand scientific articles, with the corresponding manually written summaries. The availability of these large-scale corpora opens up the possibility of using the now popular data-driven approaches based on deep learning. The book then highlights the effectiveness of neural sentence extraction approaches, which perform just as well as rule-based approaches, but without the need for any manual annotation. As a next step, multiple techniques for creating ensembles of sentence extractors – which deliver better and more robust summaries – are proposed. In closing, the book presents a neural network-based model for sentence compression. Overall the book takes readers on a journey that begins with simple sentence extraction and ends in abstractive summarization, while also covering key topics like ensemble techniques and domain-specific summarization, which have not been explored in detail prior to this.
Social Computing And Social Media
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Author : Adela Coman
language : en
Publisher: Springer Nature
Release Date : 2023-07-08
Social Computing And Social Media written by Adela Coman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-08 with Computers categories.
This two-volume set LNCS 14025 and 14026 constitutes the refereed proceedings of the 15th International Conference on Social Computing and Social Media, SCSM 2023, held as part of the 25th International Conference, HCI International 2023, held in Copenhagen, Denmark in July 2023. The total of 1578 papers and 396 posters included in the HCII 2023 proceedings was carefully reviewed and selected from 7472 submissions. The SCSM 2023 conference offers a wide range of topics related to the design, development, assessment, use, and impact of social media.
Pricai 2019 Trends In Artificial Intelligence
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Author : Abhaya C. Nayak
language : en
Publisher: Springer Nature
Release Date : 2019-08-23
Pricai 2019 Trends In Artificial Intelligence written by Abhaya C. Nayak and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-23 with Computers categories.
This three-volume set, LNAI 11670, LNAI 11671, and LNAI 11672 constitutes the thoroughly refereed proceedings of the 16th Pacific Rim Conference on Artificial Intelligence, PRICAI 2019, held in Cuvu, Yanuca Island, Fiji, in August 2019. The 111 full papers and 13 short papers presented in these volumes were carefully reviewed and selected from 265 submissions. PRICAI covers a wide range of topics such as AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim.
Advances In Information Retrieval
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Author : Gabriella Pasi
language : en
Publisher: Springer
Release Date : 2018-03-20
Advances In Information Retrieval written by Gabriella Pasi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-20 with Computers categories.
This book constitutes the refereed proceedings of the 40th European Conference on IR Research, ECIR 2018, held in Grenoble, France, in March 2018. The 39 full papers and 39 short papers presented together with 6 demos, 5 workshops and 3 tutorials, were carefully reviewed and selected from 303 submissions. Accepted papers cover the state of the art in information retrieval including topics such as: topic modeling, deep learning, evaluation, user behavior, document representation, recommendation systems, retrieval methods, learning and classication, and micro-blogs.
The Sage Handbook Of Digital Society
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Author : William Housley
language : en
Publisher: SAGE
Release Date : 2022-12-31
The Sage Handbook Of Digital Society written by William Housley and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-31 with Social Science categories.
This Handbook explores the relationship between digitisation, social organisation and social transformation at macro and micro levels, making this a valuable resource those conducting research across the social sciences.
Question Driven Text Summarization With Extractive Abstractive Frameworks
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Author : Mahsa Abazari Kia
language : en
Publisher:
Release Date : 2023
Question Driven Text Summarization With Extractive Abstractive Frameworks written by Mahsa Abazari Kia and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
Extractive Text Summarization On Single Documents Using Deep Learning
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Author : Shehab Mostafa Abdel-Salam Mohamed
language : en
Publisher:
Release Date : 2022
Extractive Text Summarization On Single Documents Using Deep Learning written by Shehab Mostafa Abdel-Salam Mohamed and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Abstracts categories.
Abstract: The task of summarization can be categorized into two methods, extractive and abstractive summarization. Extractive approach selects highly meaningful sentences to form a summary while the abstractive approach interprets the original document and generates the summary in its own words. The task of generating a summary, whether extractive or abstractive, has been studied with different approaches such as statistical-based, graph-based, and deep-learning based approaches. Deep learning has achieved promising performance in comparison with the classical approaches and with the evolution of neural networks such as the attention network or commonly known as the Transformer architecture, there are potential areas for improving the summarization approach. The introduction of transformers and its encoder model BERT, has created advancement in the performance of many downstream tasks in NLP, including the summarization task. The objective of this thesis is to study the performance of deep learning-based models on text summarization through a series of experiments, and propose "SqueezeBERTSum", a trained summarization model fine-tuned with the SqueezeBERT encoder which achieved competitive ROUGE scores retaining original BERT model's performance by 98% with ~49% fewer trainable parameters.
Automatic Summarization
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Author : Ani Nenkova
language : en
Publisher: Now Publishers Inc
Release Date : 2011
Automatic Summarization written by Ani Nenkova and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.
Automatic Summarization is a comprehensive overview of research in summarization, including the more traditional efforts in sentence extraction as well as the most novel recent approaches for determining important content, for domain and genre specific summarization and for evaluation of summarization
Innovative Data Communication Technologies And Application
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Author : Jennifer S. Raj
language : en
Publisher: Springer Nature
Release Date : 2020-01-30
Innovative Data Communication Technologies And Application written by Jennifer S. Raj and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-30 with Computers categories.
This book presents emerging concepts in data mining, big data analysis, communication, and networking technologies, and discusses the state-of-the-art in data engineering practices to tackle massive data distributions in smart networked environments. It also provides insights into potential data distribution challenges in ubiquitous data-driven networks, highlighting research on the theoretical and systematic framework for analyzing, testing and designing intelligent data analysis models for evolving communication frameworks. Further, the book showcases the latest developments in wireless sensor networks, cloud computing, mobile network, autonomous systems, cryptography, automation, and other communication and networking technologies. In addition, it addresses data security, privacy and trust, wireless networks, data classification, data prediction, performance analysis, data validation and verification models, machine learning, sentiment analysis, and various data analysis techniques.
Spoken Language Understanding
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Author : Gokhan Tur
language : en
Publisher: John Wiley & Sons
Release Date : 2011-05-03
Spoken Language Understanding written by Gokhan Tur and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-03 with Language Arts & Disciplines categories.
Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in mobile devices to meeting summarization, attracting interest from both commercial and academic sectors. Both human/machine and human/human communications can benefit from the application of SLU, using differing tasks and approaches to better understand and utilize such communications. This book covers the state-of-the-art approaches for the most popular SLU tasks with chapters written by well-known researchers in the respective fields. Key features include: Presents a fully integrated view of the two distinct disciplines of speech processing and language processing for SLU tasks. Defines what is possible today for SLU as an enabling technology for enterprise (e.g., customer care centers or company meetings), and consumer (e.g., entertainment, mobile, car, robot, or smart environments) applications and outlines the key research areas. Provides a unique source of distilled information on methods for computer modeling of semantic information in human/machine and human/human conversations. This book can be successfully used for graduate courses in electronics engineering, computer science or computational linguistics. Moreover, technologists interested in processing spoken communications will find it a useful source of collated information of the topic drawn from the two distinct disciplines of speech processing and language processing under the new area of SLU.