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Dan Jurafsky
Researcher at Stanford University
Publications - 348
Citations - 50756
Dan Jurafsky is an academic researcher from Stanford University. The author has contributed to research in topics: Language model & Parsing. The author has an hindex of 93, co-authored 344 publications receiving 44536 citations. Previous affiliations of Dan Jurafsky include Carnegie Mellon University & University of Colorado Boulder.
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Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition
TL;DR: The results show that with sufficient training data, increasing DNN model size is an effective, direct path to performance improvements, and even smaller DNNs benefit from a larger training corpus.
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Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change
TL;DR: In this paper, two different distributional measures can be used to detect two different types of semantic change, including cultural factors like new technologies and regular linguistic processes like subjectification, and they can be compared to determine whether changes are more cultural or linguistic in nature.
Proceedings ArticleDOI
Speaker movement correlates with prosodic indicators of engagement
TL;DR: In this paper, the authors introduce movement amplitude, a new vision-based metric for estimating continuous body movements over time from video by quantifying frameto-frame visual changes and demonstrate that speakers move more during phrases in which their pitch and intensity are higher and more variable.
Proceedings ArticleDOI
Distinguishing Past, On-going, and Future Events: The EventStatus Corpus
TL;DR: Two approaches for event status classification are explored: a feature-based SVM classifier augmented with a novel induced lexicon of future-oriented verbs, such as “threatened” and “planned”, and a convolutional neural net, which improve event status recognition over a state-of-the-art TempEval model.