Hiram Calvo – författare

The total of 49 papers presented in these two volumes was carefully reviewed and selected from 115 submissions.

The proceedings of MICAI 2023 are published in two volumes. The first volume, Advances in Computational Intelligence, contains 24 papers structured into three sections:

– Machine Learning

– Computer Vision and Image Processing

– Intelligent Systems

The second volume, Advances in Soft Computing, contains 25 papers structured into three sections:

– Natural Language Processing

– Bioinformatics and Medical Applications

– Robotics and Applications

The total of 49 papers presented in these two volumes was carefully reviewed and selected from 115 submissions.

The proceedings of MICAI 2023 are published in two volumes. The first volume, Advances in Computational Intelligence, contains 24 papers structured into three sections:

– Machine Learning

– Computer Vision and Image Processing

– Intelligent Systems

The second volume, Advances in Soft Computing, contains 25 papers structured into three sections:

– Natural Language Processing

– Bioinformatics and Medical Applications

– Robotics and Applications

The proceedings of MICAI 2023 workshops are structured into three sections:

– HIS 2023: 16th Workshop of Hybrid Intelligent Systems

– CIAPP 2023: 5th Workshop on New Trends in Computational Intelligence and Applications

This book constitutes the refereed proceedings of the 10th Annual International Conference on Information Management and Big Data, SIMBig 2023, held in Mexico City, Mexico, during December 13–15, 2023.

The 19 full papers and 6 short papers included in this book were carefully reviewed and selected from 64 submissions. SIMBig 2023 introduced innovative approaches for analyzing and handling datasets as well as new methods based on Artificial Intelligence (AI), Data Science, Machine Learning, Natural Language Processing, Semantic Web, Data-driven Software Engineering, Health Informatics, and more.

This book describes effective methods for automatically analyzing a sentence, based on the syntactic and semantic characteristics of the elements that form it. To tackle ambiguities, the authors use selectional preferences (SP), which measure how well two words fit together semantically in a sentence. Today, many disciplines require automatic text analysis based on the syntactic and semantic characteristics of language and as such several techniques for parsing sentences have been proposed. Which is better? In this book the authors begin with simple heuristics before moving on to more complex methods that identify nouns and verbs and then aggregate modifiers, and lastly discuss methods that can handle complex subordinate and relative clauses. During this process, several ambiguities arise. SP are commonly determined on the basis of the association between a pair of words. However, in many cases, SP depend on more words. For example, something (such as grass) may be edible, depending on who is eating it (a cow?). Moreover, things such as popcorn are usually eaten at the movies, and not in a restaurant. The authors deal with these phenomena from different points of view.