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The ACL Anthology is a digital archive of conference and journal papers in natural language processing and computational linguistics. Its primary purpose is to serve as a reference repository of research results, but we believe that it can also be an object of study and a platform for research in its own right. We describe an enriched and standardized(More)
A wish is " a desire or hope for something to happen. " In December 2007, people from around the world offered up their wishes to be printed on confetti and dropped from the sky during the famous New Year's Eve " ball drop " in New York City's Times Square. We present an in-depth analysis of this collection of wishes. We then leverage this unique resource(More)
Imagine two identical people receive exactly the same training on how to classify certain objects. Perhaps surprisingly, we show that one can then manipulate them into classifying some test items in opposite ways, simply depending on what other test items they are asked to classify (without label feedback). We call this the Test-Item Effect, which can be(More)
When the distribution of unlabeled data in feature space lies along a manifold, the information it provides may be used by a learner to assist classification in a semi-supervised setting. While manifold learning is well-known in machine learning, the use of manifolds in human learning is largely unstudied. We perform a set of experiments which test a(More)
The ACL Anthology is a large collection of research papers in computational linguistics. Citation data was obtained using text extraction from a collection of PDF files with significant manual post-processing performed to clean up the results. Manual annotation of the references was then performed to complete the citation network. We analyzed the networks(More)
Recent empirical studies of semi-supervised category learning—where learners only occasionally receive information about a given item's category membership—have yielded contradictory results, with some studies showing strong effects of unlabeled experience and others little or no effect. We report two experiments designed to help understand this(More)