Intelligent systems and applications : proceedings of the 2023 Intelligent Systems Conference (IntelliSys). Volume 4 / Kohei Arai, editor.
The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty,...
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Full Text (via Springer) |
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| Other title: | IntelliSys |
| Format: | Conference Proceeding eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2024.
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| Series: | Lecture notes in networks and systems ;
v. 825. |
| Subjects: |
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| 111 | 2 | |a Intelligent Systems Conference |d (2023 : |c Amsterdam, Netherlands ; Online) | |
| 245 | 1 | 0 | |a Intelligent systems and applications : |b proceedings of the 2023 Intelligent Systems Conference (IntelliSys). |n Volume 4 / |c Kohei Arai, editor. |
| 246 | 3 | |a IntelliSys | |
| 264 | 1 | |a Cham : |b Springer, |c 2024. | |
| 300 | |a 1 online resource (xii, 905 pages) : |b illustrations (some color). | ||
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| 490 | 1 | |a Lecture notes in networks and systems, |x 2367-3389 ; |v 825 | |
| 520 | |a The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence. | ||
| 500 | |a Includes author index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed February 28, 2024). | |
| 505 | 0 | |a Intro -- Preface -- Contents -- FARSum: Feedback-Aware Abstractive Product Review Summarization -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Approach Overview -- 2.3 Review Candidates Selector -- 2.4 Summarizer -- 2.5 Discussion -- 3 Experiments -- 3.1 Baseline Verdict Summarization Evaluation -- 3.2 Evaluation of Verdict, Pros, and Cons Summaries -- 3.3 Summarization Examples -- 4 Conclusion -- A Appendix -- A.1 Raw Reviews -- References -- Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews -- 1 Introduction | |
| 505 | 8 | |a 2 Related Work -- 2.1 Regression -- 2.2 Classification -- 2.3 Ranking -- 3 Research Contribution -- 4 Proposed Methodology -- 4.1 Language Model-Based Methods -- 5 Empirical Evaluations -- 5.1 Dataset Description and Processing -- 5.2 Baseline -- 5.3 Evaluation Method -- 5.4 Results -- 6 Discussion -- 7 Conclusion and Future Work -- References -- A New Model for the Arabic Language Based on the Semantic Representation of Words and Sentences -- 1 Introduction -- 2 Background and Literature Review -- 3 Challenges Facing Arabic Language Modeling -- 3.1 Absence of Diacritics | |
| 505 | 8 | |a 3.2 The Morphological Structure of Words -- 3.3 Concatenative Nature of the Language -- 3.4 The Order of Words in the Sentence -- 3.5 Dropped Subject Pronouns -- 3.6 Selection of the Context Window -- 4 Annotated Multilevel Dataset -- 4.1 Text Preprocessing -- 4.2 Adding the Hidden Pronouns -- 4.3 Word Segmentation -- 4.4 POS Tagging -- 4.5 Dependency Relation Annotation -- 5 Implementation and Evaluation -- 5.1 The Word -- 5.2 The Word Attributes -- 5.3 The Context Window -- 5.4 Word2Vec -- 5.5 Evaluation -- 6 Conclusion and Future Work -- References | |
| 505 | 8 | |a A Feature-based Approach on Automatic Stopword Detection -- 1 Introduction -- 2 Related Work -- 3 Dataset and Features -- 3.1 Dataset -- 3.2 Features -- 4 Framework -- 5 Experimental Results -- 6 Conclusion and Future Work -- References -- Phrase-Based Topic Discovery from Spanish Social Media Texts -- 1 Introduction -- 2 Related Work -- 3 Approach for Topic Discovery Based on Nominal Phrases -- 3.1 Social Media Text Acquisition -- 3.2 Text Preprocessing -- 3.3 Nominal Phrase Extraction -- 3.4 Topic Discovery -- 4 Experimental Results -- 4.1 Metrics -- 4.2 Experiments -- 4.3 Results | |
| 505 | 8 | |a 5 Conclusions and Future Work -- References -- Framing and BERTology: A Data-Centric Approach to Integration of Linguistic Features into Transformer-Based Pre-trained Language Models -- 1 Introduction -- 2 Theoretical Background -- 2.1 Political News Framing and the Issue and Game Frames -- 2.2 The Role of Language in News Media and Framing -- 2.3 BERT's Linguistic Knowledge -- 3 Experimental Setup -- 3.1 Dataset -- 3.2 Experimental Settings -- 4 Evaluation and Discussion -- 5 Conclusion -- References | |
| 650 | 0 | |a Artificial intelligence |v Congresses. |0 http://id.loc.gov/authorities/subjects/sh2007101476 | |
| 700 | 1 | |a Arai, Kohei, |e editor. |0 http://id.loc.gov/authorities/names/nb2015009350 | |
| 776 | 0 | 8 | |i Print version: |a Arai, Kohei |t Intelligent Systems and Applications |d Cham : Springer,c2024 |z 9783031477171 |
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| 830 | 0 | |a Lecture notes in networks and systems ; |v v. 825. |0 http://id.loc.gov/authorities/names/no2018045655 | |
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