Because of their superior ability to preserve sequence information over time, Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex comput...
Kai Sheng Tai, Richard Socher, Christopher D. Mann...
With massively parallel corpora of hundreds or thousands of translations of the same text, it is possible to automatically perform typological studies of language structure using ...
We present a simple yet effective unsupervised domain adaptation method that can be generally applied for different NLP tasks. Our method uses unlabeled target domain instances to...
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...