Question Answering over Text and Knowledge Base

Author:   Saeedeh Momtazi ,  Zahra Abbasiantaeb
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2022
ISBN:  

9783031165511


Pages:   202
Publication Date:   04 November 2022
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Question Answering over Text and Knowledge Base


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Author:   Saeedeh Momtazi ,  Zahra Abbasiantaeb
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2022
Weight:   0.494kg
ISBN:  

9783031165511


ISBN 10:   3031165519
Pages:   202
Publication Date:   04 November 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

- 1. Introduction. - 2. History and Architecture. - 3. Question Answering Evaluation. - 4. Introduction to Neural Networks. - 5. Question Answering over Text. - 6. Question Answering over Knowledge Base. - 7. KBQA Enhanced with Textual Data. - 8. Question Answering in Real Applications. - 9. Future Directions of Question Answering.

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Author Information

Saeedeh Momtazi is an associate professor at Amirkabir University of Technology, Iran. She received a Ph.D. degree in Artificial Intelligence from Saarland University, Germany. After finishing her Ph.D., she worked at the Hasso-Plattner Institute at Potsdam University, Germany and the German Institute for International Educational Research, Germany, as a postdoctoral researcher. Her main research interests are natural language processing and information retrieval. She has taught several courses and tutorials about QA systems and related topics. Zahra Abbasiantaeb obtained her M.Sc. in Artificial Intelligence at the Amirkabir University of Technology, Iran. She also received her B.Sc. degree in Software Engineering from the Amirkabir University of Technology, Iran. Natural language processing and information retrieval with a focus on QA systems are her main research interests. She followed this topic through publishing surveys and technical papers.

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