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Word Tagging and Log-Linear Models by Danilo Sredanovic is a document available to read on EtoBox.

What is Word Tagging and Log-Linear Models about?

The document provides an overview of word tagging and log-linear models in Natural Language Processing (NLP), focusing on part-of-speech tagging, ambiguity in language, and information extraction techniques. It discusses the statistical perspective of NLP, the importance of annotated corpora for training models, and the evaluation process for these models. Additionally, it highlights the challenges in acquiring data and the application of log-linear models for classification tasks in NLP.

Author

Danilo Sredanovic

Language

EN