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Understanding short texts is crucial to many applications, but challenges abound. First, short texts do not always observe the syntax of a written language. As a result, traditional natural language p...
With recent advances in machine learning, big data, and computing infrastructure, computers will realistically reach human parity in understanding spoken language in the next few years. The computing ...
Many problems in computational linguistics are well suited for bootstrapping (semisupervised learning) techniques. The Yarowsky algorithm is a well-known bootstrapping algorithm, but it is not mathema...
In conversation speakers design their utterances to be understood against the common ground they share with their addressees-their common experience, expertise, dialect, and culture. That ordinarily g...
A connectionist approach to processingin quasi-regulardomains, as exemplifiedby Englishword reading, is developed.Networksusingappropriately structured orthographic and phonologicalrepresentations wer...
Query understanding has been well studied in the areas of information retrieval and spoken language understanding (SLU). There are generally three layers of query understanding: domain classification,...
This article is the second partof an updated version of the“MINDS 2006–2007 Reportof the Speech UnderstandingWorking Group,” one of five reports emanating from two workshops entitled “Meeting of the M...
What makes non-profit, philanthropic discourse so persuasive has not been well explored to date. Using a specialized corpus of direct-mail letters from philanthropic organizations in five different fi...
Why Press Backspace? Understanding User Input Behaviors in Chinese Pinyin Input Method.

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