Abstract A crucial step toward the goal of automatic extraction of propositional information from natural language text is the identification of semantic relations between constituents in sentences. In the bioscience text domain, we have developed[…]
View Seminar Video Abstract Extreme Physical Information (EPI) [1] is a self contained theory to elicit physical laws from a system/process (Nature) based on a measurement-response framework. A specific form of the Fisher information measure[…]
View Seminar Video Abstract Underspecification is an approach to dealing with scope ambiguities, a certain class of semantic ambiguities in natural language. The basic idea is to derive from a syntactic analysis of a sentence[…]
View Seminar Video Abstract We describe an unsupervised algorithm capable of finding hierarchical, context-sensitive structure in corpora of raw symbolic sequential data such as text or transcribed speech. In the domain of language, the algorithm[…]
View Seminar Video Abstract In this talk, I will describe several discriminative language modeling techniques for large vocabulary automatic speech recognition (ASR) tasks. I will initially review recent work on n-gram model estimation using the[…]