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AIC Seminar Series

Towards Semantic Parsing in Technical Documentation

Kyle RichardsonInstitute for Natural Language Processing at the University of Stuttgart[Home Page]

Notice:  Hosted by Richard Waldinger.

Date:  2014-06-17 at 16:00

Location:  EK255 (SRI E building)  (Directions)

Webex: 

VTC available for Dan Diego upon request.
   Abstract

There has been a lot of recent interest in Natural Language Processing on Semantic Parsing, centering on using data-driven methods for learning to transform language to formal meaning representations.A main focus has been on using non-traditional forms of data supervision, such as structured meaning representations and weak ‘grounded’ signals (e.g. Chen, Mooney, 2008; Artzi, Zettlemoyer, 2013), to learn these transformations. A variety of datasets have been developed for this task, and a number of new learning methods have been studied, often building on techniques from statistical Machine Translation and parsing (see Mooney, 2007). In this talk, we given an overview of the field and discuss new resources for doing Semantic Parsing in technical documentation (Richardson, Kuhn 2014), and ongoing work on learning to parse how-to instructions in technical manuals.

   Bio for Kyle Richardson

Kyle Richardson is a PhD student at the Institute for Natural Language Processing (IMS) at the University of Stuttgart, Germany. His interests are in Natural Language Processing, especially topics related to computational semantics and the interface between language and reasoning. He is a graduate of the University of Rochester, and has worked with Richard Waldinger on various question-answering projects, first at PARC (July2010-Oct.2011) and later as a consultant to SRI’s Quest project (December 2012-March 2014) supported by SAP Labs, Palo Alto.

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