Linguistic Structure Prediction / by Noah A. Smith.

Format:

Book

Author/Creator:

Smith, Noah A., Author.

Series:

Synthesis Lectures on Human Language Technologies, 1947-4059

Language:

English

Subjects (All):

Artificial intelligence.

Natural language processing (Computer science).

Computational linguistics.

Artificial Intelligence.

Natural Language Processing (NLP).

Computational Linguistics.

Local Subjects:

Artificial Intelligence.

Natural Language Processing (NLP).

Computational Linguistics.

Physical Description:

1 online resource (XX, 248 p.)

Edition:

1st ed. 2011.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2011.

Summary:

A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or machine learning, we seek to bridge the gap between the two fields. Approaches to decoding (i.e., carrying out linguistic structure prediction) and supervised and unsupervised learning of models that predict discrete structures as outputs are the focus. We also survey natural language processing problems to which these methods are being applied, and we address related topics in probabilistic inference, optimization, and experimental methodology. Table of Contents: Representations and Linguistic Data / Decoding: Making Predictions / Learning Structure from Annotated Data / Learning Structure from Incomplete Data / Beyond Decoding: Inference.

Contents:

Representations and Linguistic Data

Decoding: Making Predictions

Learning Structure from Annotated Data

Learning Structure from Incomplete Data

Beyond Decoding: Inference.

ISBN:

9783031021435

3031021436