Given that context-free grammars (CFG) cannot adequately describe natural languages, grammar formalisms beyond CFG that are still computationally tractable are of central interest for computational linguists. This book provides an extensive overview of the formal language landscape between CFG and PTIME, moving from Tree Adjoining Grammars to Multiple Context-Free Grammars and then to Range Concatenation Grammars while explaining available parsing techniques for these formalisms. Although familiarity with the basic notions of parsing and formal languages is helpful when reading this book, it...
Given that context-free grammars (CFG) cannot adequately describe natural languages, grammar formalisms beyond CFG that are still computationally trac...
This book is concerned with the rich and fruitful interplay between the fields of computational logic and machine learning. The intended audience is senior undergraduates, graduate students, and researchers in either of those fields. For those in computational logic, no previous knowledge of machine learning is assumed and, for those in machine learning, no previous knowledge of computational logic is assumed. The logic used throughout the book is a higher-order one. Higher-order logic is already heavily used in some parts of computer science, for example, theoretical computer science,...
This book is concerned with the rich and fruitful interplay between the fields of computational logic and machine learning. The intended audience is s...
Recent advances in the fields of knowledge representation, reasoning and human-computer interaction have paved the way for a novel approach to treating and handling context. The field of research presented in this book addresses the problem of contextual computing in artificial intelligence based on the state of the art in knowledge representation and human-computer interaction. The author puts forward a knowledge-based approach for employing high-level context in order to solve some persistent and challenging problems in the chosen showcase domain of natural language understanding....
Recent advances in the fields of knowledge representation, reasoning and human-computer interaction have paved the way for a novel approach to trea...
Humans are often extraordinary at performing practical reasoning. There are cases where the human computer, slow as it is, is faster than any artificial intelligence system. Are we faster because of the way we perceive knowledge as opposed to the way we represent it?
The authors address this question by presenting neural network models that integrate the two most fundamental phenomena of cognition: our ability to learn from experience, and our ability to reason from what has been learned. This book is the first to offer a self-contained presentation of neural network models...
Humans are often extraordinary at performing practical reasoning. There are cases where the human computer, slow as it is, is faster than any artif...
With contributions by leading scientists in the field, this book gives the first comprehensive overview of the results of the seminal SmartKom project - one of the most advanced multimodal dialogue systems worldwide.
With contributions by leading scientists in the field, this book gives the first comprehensive overview of the results of the seminal SmartKom proj...
Iusethetermlogicalandrelationallearning torefertothesub?eldofarti?cial intelligence, machinelearninganddataminingthatisconcernedwithlearning in expressive logical or relational representations. It is the union of inductive logic programming, (statistical) relational learning and multi-relational data mining, which all have contributed techniques for learning from data in re- tional form. Even though some early contributions to logical and relational learning are about forty years old now, it was only with the advent of - ductive logic programming in the early 1990s that the ?eld became...
Iusethetermlogicalandrelationallearning torefertothesub?eldofarti?cial intelligence, machinelearninganddataminingthatisconcernedwithlearning in expres...
This book examines preference representation, covering languages, nonmonotonic logics of preference and conditional networks, then moves to reasoning, exploring preference-based argumentation, rank-ordering outcomes, database queries and future research trends.
This book examines preference representation, covering languages, nonmonotonic logics of preference and conditional networks, then moves to reasoning,...
This book covers modularity and independence in classical and nonclassical logic, including many-valued logics and structures, plus neighbourhood semantics and their connection to independence, as well as their common points and differences for various logics.
This book covers modularity and independence in classical and nonclassical logic, including many-valued logics and structures, plus neighbourhood sema...
Biologically inspired walking machines are fascinating objects to study, from thepointofviewoftheirmechatronicaldesignaswellastherealisationofc- trol concepts. Research on this subject takes its place in a rapidly growing, highly interdisciplinary ?eld, uniting contributions from areas as diverse as biology, biomechanics, material science, neuroscience, engineering, and c- puter science. Nature has found fascinating solutions for the problem of legged loco- tion, and the mechanisms generating the complex motion patterns performed by animals are still not very well understood. Natural...
Biologically inspired walking machines are fascinating objects to study, from thepointofviewoftheirmechatronicaldesignaswellastherealisationofc- trol ...
Focusing on rare category analysis where the majority classes have smooth distributions and the minority classes exhibit the compactness property, this text focuses on challenging cases where the support regions of both classes overlap.
Focusing on rare category analysis where the majority classes have smooth distributions and the minority classes exhibit the compactness property, thi...
