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Training speed and accuracy are two major concerns of large-scale natural language processing systems. Typically, we need to make a tradeoff between speed and accuracy. It is trivial to improve the tr...
I had heard it said that Chomsky’s conception of language is at odds with the truth-conditional program in semantics. Some of my friends said it so often that the point—or at least a point—finally sun...
In his blurb on the back cover, Mark Liberman calls this book “the biggest step forward [in research on discourse structure] since Aristotle.” Given this eminent recommendation, I read the book with g...
Computational semanticsis the study of how to represent meaning in a way that computers can use. For the authors of this textbook, this study includes the representation of the meaning of natural lan...
This article challenges the received wisdom that template-based approaches to the generation of language are necessarily inferior to other approaches as regards their maintainability, linguistic wel...
This article considers approaches which rerank the output of an existing probabilistic parser. The base parser produces a set of candidate parses for each input sentence, with associated probabiliti...
This article describes three statistical models for natural language parsing. The models extend methods from probabilistic context-free grammars to lexicalized grammars, leading to approaches in whi...
Natural Language Semantics     Natural Language  Semantics       2015/8/27
This is a large volume, and it contains multitudes. Semantics is construed in a broad sense as the study of how meaning is communicated through the medium of language in a social context, taking accou...
Christian Jacquemin’s book Spotting and Discovering Terms through Natural Language Processing is a much needed and most welcome addition to the field of computational terminology. The central issue of...
This study reports the results of using minimum description length (MDL) analysis to model unsupervised learning of the morphological segmentation of European languages, using corpora ranging in size ...
The strong connection between knowledge representation and reasoning and natural language is the main theme of this book. The book is divided into two parts.Part I, consisting of five original or upda...
Reiter and Dale’s book is about natural language generation (NLG), and describes methods for building systems of this kind. It offers a comprehensive overview of the field of NLG, from a perspective t...
As evaluations of computational linguistics technology progress toward higher-level interpretation tasks, the problem of determining alignments between system responses and answer key entries may beco...
As the subtitle of Hausser’s book suggests, it is not exactly on what is usually supposed by computational linguistics. Instead, the author treats computational linguistics as a science of human-machi...
Information Retrieval (IR) in this collection of 14 original papers is broadly construed to include document retrieval, information extraction, question answering, clustering and classification. In th...

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