Advances in word sense disambiguation (4 hours/English)
Ted Pedersen, University of Minnesota - USA Rada Mihalcea, University of North Texas - USA
Word sense disambiguation is the problem of identifying the intended meaning (or sense) of a word, based on the context in which it occurs. This is a central problem in natural language processing, and improved approaches have the potential to advance the state of the art in machine traslation, information retrieval, and many other language related problems. This tutorial will introduce the full range of techniques that have been applied to this problem. These include knowledge-intensive methods that take advantage of dictionaries and othe manually created resources, supervised techniques that learn classifiers from training examples, minimally supervised approaches that bootstrap off smal amounts of data, and unsupervised approaches that identify word senses in raw unannotated text.
About the speakers: Ted Pedersen is an Associate Professor of Computer Science at the University of Minnesota, Duluth. He has a MSc in Computer Science from the University of Arkansas and PhD degree in Computer Science from the Southern Methodist University in the United States. He has been actively engaged in word sense disambiguation research since 1995.
Rada Mihalcea is an Assistant Professor of Computer Science at the University of North Texas. Her research interests are in lexical semantics, minimally supervised natural language learning, and multilingual natural language processing.
Although auditory prostheses such as hearing aids and cochlear implants have become widely available, several challenges impede adult users from attaining effective hearing rehabilitation. These challenges stem from speech comprehension difficulties, leading to inconsistent device use [1]. Evidence suggests that clinical auditory training (AT) augmented with software programs may improve speech comprehension; however, AT remains globally inaccessible because of financial and clinical time constraints [2-8]. For instance, in the United States, public insurance programs such as Medicare and Medicaid provide insufficient funding to cover the cost of AT [9]. In Korea, children up to 19 years of age may receive AT, but adults are not covered by national health insurance [10]. In the United Kingdom, a lack of AT coverage can leave adult cochlear implant recipients without access to regular sessions outside of annual or semiannual mapping appointments [11,12]. Although clinics attempt to absorb costs through fundraising, sessions may still be prohibitively expensive, leading adults to forgo these services [9]. Even if a patient can afford AT, weekly sessions may require adults to take time away from work, thereby reducing productivity and further exacerbating financial stress [13]. As a result, adults worldwide use their devices without the guidance of a clinician. This motivates the need for accessible AT and for multilingual availability.
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