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Title: Bridging NLP and brain science to improve natural language understanding

Abstract: Natural language processing systems have made impressive strides in producing useful task-oriented language tools - but even the most sophisticated NLP systems fall dramatically short of the human brain in robustness and nuance of language understanding. A particular area of need in NLP is that of sentence composition: the combinatory capacity that allows humans to generate and understand the meanings of infinite sentences based on their parts.

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Bio: Claire Bonial currently works at the Adelphi Laboratory Center (ALC), Army Research Laboratory. Claire does research in Semantics, Computational Linguistics and Psycholinguistics. Their most recent publication is 'Current Directions in English and Arabic PropBank.


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Bio: Laura Dietz is an assistant professor at the department of Computer Science at UNH with a focus on text-based machine learning and information retrieval.

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Bio: Kevin Ong is an aspiring scientist and experienced lecturer.  He is a PhD student at RMIT University, under the supervision of Prof Mark Sanderson and A. Prof. Falk Scholer in the field of interactive information retrieval. My studies is supported by the APA scholarship.

He has also also taught at the tertiary level for the past 5 years in various topics. He can be reached for networking and other business opportunities.

Title: Duolingo: Improving Language Learning and Assessment with Data

Title: Separate the Sheep from the Goats: On recognizing the Literal and Figurative Usages of Idioms

Title: Classification and clustering based on LDA-like models

Abstract: I introduce two studies used statistical model with latent variables similar to Latent Dirichllet Allocation (LDA) model.

Title: Language and Policy: Bringing Language Science & Analytics into Public Policy


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