View Seminar Video Abstract Recent work has demonstrated effective learning algorithms for a variety of semantic parsing problems, where the goal is to automatically recover the underlying meaning of input sentences. Although these algorithms can[…]
Abstract Consumers increasingly rate, review, and research products online. Consequently, websites containing consumer reviews are becoming targets of opinion spam. While recent work has focused primarily on manually identifiable instances of opinion spam, this talk[…]
View Seminar Video Abstract Text analysis involves building predictive models and discovering latent structures in noisy and high-dimensional data. Document classes, latent topics, and author communities are often distinguished by a small number of trigger[…]
Abstract Many applications such as information retrieval make use of efficient (approximate) estimates of set similarity. A number of such estimates have been discussed in the literature: minwise hashing, random projections and compressed sensing. This[…]
View Seminar Video Abstract Speech is an inherently rhythmic phenomenon in which the acoustic signal is transmitted in syllabic “packets” and temporally structured so that most of the energy fluctuations occur in the range between[…]
View Seminar Video Abstract This talk focuses on syntactic prediction and examines its implication for models of sentence processing and language learning. Predicting upcoming syntactic structures reduces processing demand and allows successful comprehension in the[…]
View Seminar Video Abstract Rapid progress has been made in the last few years in the ‘unsupervised’ learning of context-free grammars using distributional techniques: a core challenge for theoretical linguistics and NLP. However these techniques[…]
