The relationship between context incongruity and sarcasm has been studied in linguistics. We present a computational system that harnesses context incongruity as a basis for sarca...
We present a novel, count-based approach to obtaining inter-lingual word representations based on inverted indexing of Wikipedia. We present experiments applying these representat...
Word alignment (WA) between a pair of sentences in the same or different languages is a key component of many natural language processing tasks. It is commonly used for identifyin...
Online debate forums present a valuable opportunity for the understanding and modeling of dialogue. To understand these debates, a key challenge is inferring the stances of the pa...
Dhanya Sridhar, James R. Foulds, Bert Huang, Lise ...
Massive open online courses (MOOCs) are redefining the education system and transcending boundaries posed by traditional courses. With the increase in popularity of online course...
Arti Ramesh, Shachi H. Kumar, James R. Foulds, Lis...
Neural probabilistic parsers are attractive for their capability of automatic feature combination and small data sizes. A transition-based greedy neural parser has given better ac...
The intelligent personal assistant software such as the Apple’s Siri and Samsung’s S-Voice has been issued these days. This paper introduces a novel Spoken Language Understand...
We introduce into Bayesian decipherment a base distribution derived from similarities of word embeddings. We use Dirichlet multinomial regression (Mimno and McCallum, 2012) to lea...
Qing Dou, Ashish Vaswani, Kevin Knight, Chris Dyer