Abstract Various types of how-to-knowledge are encoded in natural language instructions: from setting up a tent, to preparing a dish for dinner, and to executing biology lab experiments. These types of instructions are based on procedural[…]
Abstract We recently witnessed an exponential growth in Arabic social media usage. Processing such media is of great utility for all kinds of applications ranging from information extraction to social media analytics for political and[…]
Abstract Spoken keyword search is a detection task to locate all occurrences of a lexical entry in an audio stream. Such a task is especially challenging for low-resource spoken languages, since mainstream solutions rely heavily[…]
Abstract In this talk, I will discuss a number of projects aimed at improving HLT applications across a broad range of typologically diverse languages by modeling morphological structure. These include the creation of a very[…]
Abstract You have to come to find out! Biography Mark Dredze is an Assistant Research Professor in Computer Science at Johns Hopkins University and a Research Scientist at the Human Language Technology Center of Excellence. […]
Closing Day presentations will be held in Hackerman Hall B17, and is being webcast. Directions can be found here.
Abstract Previously, science conceived of emotions as ‘bugs’ in an otherwise exceptional computational system, the human brain. Recent discoveries from neuroscience reveal that emotions are not ‘bugs’ at all, but integral ‘features’ of human cognition.[…]
