Turing Center is looking for an undergraduate student to work as RA on the Knowitall project in the spring and/or summer. The goal of the Knowitall project is to extract large volumes of information from Web text in order to reduce information overload, enable question answering, information exploration and other downstream tasks such as building semantic language models. Please see http://openie.cs.washington.
Specific research problems include
– Implementing coreference resolution to process text at scale
– Temporal annotation of facts
– Deep understanding of text including modality, polarity, attribution, hypotheticals, etc.
– Inference of new facts
– …
Looking for students who
– Are motivated and passionate about solving challenging NLP and ML problems
– Have basic exposure to NLP and/or machine learning techniques
– Have strong programming skills.
Research experience in NLP a plus.
If interested, please contact Prof. Mausam (mausam@cs).