Titlebook: Automatically Ordering Events and Times in Text; Leon R.A. Derczynski Book 2017 Springer International Publishing AG 2017 Computational In

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Book 2017leading to the identification of exactly what is difficult about the task. It then proposes and evaluates machine-learning solutions for the major difficulties..It is a valuable resource for those working in machine learning for natural language processing as well as anyone studying time in language

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https://doi.org/10.1007/978-3-319-47241-6Computational Intelligence; Temporal Reasoning; Knowledge Representation; Temporal Information Extracti

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Leon R.A. DerczynskiIncludes recent research on temporal information extraction.Is devoted to information extraction, spatiotemporal semantics, and handling noisy linguistic data.Presents methods to automatically order e

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Introduction, between individuals. With the advent of computing, large amounts of natural language text are stored in digital format. The study of . helps link the significant power of the computer with the efficiency of communicating in natural language.

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Conclusion,poral annotation problem and has been the goal of this book. This is known as the temporal link labelling problem. The state of the art in this problem has advanced slowly in recent years, without reaching high enough performance levels to consider it solved. This book has investigated the problem of temporal link labelling.

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