Flexible Query Answering Systems
Springer International Publishing (Verlag)
978-3-031-42934-7 (ISBN)
The 24 full papers presented were carefully reviewed and selected from numerous submissions. They are organized in the following topical sections: Flexible Queries over Semantic Systems; Advanced Methods and Applications in Natural Language; Processing (NLP); New Advances in Disinformation Detection; Data and Text Mining; Applying AI to Social Science and Social Science to AI; Artificial Intelligence Law and Regulation.
Flexible Queries over Semantic Systems.- On Reducing Reasoning and Querying in Natural Logic to Database Querying.- Diversifying top-k Answers in a Query by Example Setting.- Flexible Classification, Question-Answering and Retrieval with Siamese.- Neural Networks for Biomedical Texts.- The promise of Query Answering systems in Sexuality: current state, challenges and limitations.- Some Properties of the Left Recursive Form of the Convex Combination Linguistic Aggregator.- Knowledge Graph Enabled Open-Domain Conversational Question Answering.- Advanced methods and applications in Natural Language Processing (NLP) .- Automatic generation of coherent natural language texts.- Interlingual Semantic Validation.- How tasty is this dish? Studying user-recipe interactions with a rating prediction algorithm and Graph Neural Networks.- "Let it BEE": Natural Language Classification of arthropod specimens based on their Spanish description.- New advances in disinformation detection Bot Detection in Twitter: An overview.- A fuzzy approach to detecting suspected disinformtion in videos.- All trolls have one mission: An entropy analysis of political misinformation spreaders.- A First Evolutionary Fuzzy Approach for Change Mining with Smart Bands.- Federated learning in healthcare with unsupervised and semi-supervised methods.- Exploring hidden anomalies in UGR'16 with Kitsune.- An Orthographic Similarity Measure for Graph-based Text Representations.- Applying AI to Social Science and Social Science to AI.- An unsupervised approach to extracting knowledge from the relationships between blame attribution on Twitter.- "Health is the real wealth": Unsupervised approach to improve explainability in health-based recommendation systems.- Are textual recommendations enough? Guiding physicians toward the design of machine learning pipelines through a visual platform.- Who is to blame? Responsibility attribution in AI systems vs human agents.- Artificial intelligence law and regulationMethodology for analyzing the risk of algorithmic discrimination from a legal and technical point of view.- Data as wealth, data markets and its regulation.- ADM in the European Union: An interoperable solution.-
Erscheinungsdatum | 08.09.2023 |
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Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
Zusatzinfo | XXI, 306 p. 94 illus., 51 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 504 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Schlagworte | Artificial Intelligence • Databases • Data Mining • Fuzzy Sets • Information Retrieval • Internet • Knowledge-Based System • Natural Language Processing • Natural Languages • NLP • Query Languages • query processing • Search Engines • Signal Processing • World Wide Web |
ISBN-10 | 3-031-42934-6 / 3031429346 |
ISBN-13 | 978-3-031-42934-7 / 9783031429347 |
Zustand | Neuware |
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