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Feature-Frequency–Adaptive On-line Training for Fast and Accurate Natural Language Processing
Fast Accurate NaturalLanguage Processing
2015/9/14
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...
Coherence in Natural Language:Data Stuctures and Applications
Natural Language Data Stuctures and Applications
2015/9/2
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...
Representation and Inference for Natural Language: A First Course in Computational Semantics
Natural Language Computational Semantics
2015/9/1
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...
Squibs and Discussions Real versus Template-Based Natural Language Generation: A False Opposition?
Squibs and Discussions Real versus Language Generation:
2015/8/31
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...
Discriminative Reranking for Natural Language Parsing
Natural Language Parsing Discriminative Reranking
2015/8/31
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...
Head-Driven Statistical Models for Natural Language Parsing
Natural Language Parsing Statistical Models
2015/8/28
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...
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...
Spotting and Discovering Terms through Natural Language Processing
Spotting Discovering Terms Natural Language Processing
2015/8/27
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...
Unsupervised Learning of the Morphology of a Natural Language
Unsupervised Learning Natural Language
2015/8/26
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 ...
Natural Language Processing and Knowledge Representation:Language for Knowledge and Knowledge for Language
Natural Language Processing Knowledge Representation:Language for Knowledge Knowledge for Language
2015/8/26
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...
The Need for Accurate Alignment in Natural Language System Evaluation
Natural Language System Evaluation
2015/8/26
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...
Foundations of Computational Linguistics:Man-Machine Communication in Natural Language
Computational Linguistics Man-Machine Communication Natural Language
2015/8/25
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...