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Low-Pass Semantics

Low-Pass Semantics

This video was recorded at Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX), Montreal 2012. Advances in statistical and machine learning approaches to natural language processing have yielded a wealth of methods and applications in information retrieval, speech recognition, machine translation, and information extraction. Yet, even as we enjoy these advances, we recognize that our successes are to a large extent the result of clever exploitation of redundancy in language structure and use, allowing our algorithms to eke out a few useful bits that we can put to work in applications. By focusing on applications that extract a limited amount of information from the text, finer structures such as word order or syntactic structure could be... Show More
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