View Seminar Video Abstract AI is beginning to make some dents in the “knowledge acquisition bottleneck”, the problem of acquiring large amounts of general world knowledge to support language understanding and commonsense reasoning. Two text-based[…]
Abstract I will discuss a couple of non-standard features that I believe could be useful for working with comparable corpora. Dotplots have been used in biology to find interesting DNA sequences. Biology is interested in[…]
View Seminar Video Abstract For centuries, the deep connection between human languages has fascinated scholars, and driven many important discoveries in linguistics and anthropology. In this talk, I will show that this connection can empower[…]
View Seminar Video Abstract EM (the Expectation Maximization Algorithm) is a well known technique for unsupervised learning (where one does not have any hand labeled solutions available, but instead one must learn from the raw[…]
View Seminar Video Abstract NLP systems typically consist of a series of components where the output of one module (e.g., a word segmenter) serves as input to another (e.g., a translator). Integration between the components[…]
Abstract Anyone who has used an automatic speech recognition (ASR) system, either on a customer support line or on their own personal computer, knows firsthand there is vast room for improvement. While state-of-the-art commercial systems[…]
Abstract Computational advertising is an emerging new scientific sub-discipline, at the intersection of large scale search and text analysis, information retrieval, statistical modeling, machine learning, classification, optimization, and microeconomics. The central challenge of computational advertising[…]
