归档: 2017/8
Not All Contexts Are Created Equal:Better Word Representations with Variable Attention
AbstractThey introduce an extension to the bag-of-words model for learning words represen- tations that take into account both syntactic and semantic properties within language. IntroductionFor BOW an
Modeling Word Meaning in Context with Substitute Vectors
AbstractContext representations are a key element in distributional models of word meaning. A recently proposed approach suggests to represent a context of a target word by a substitute vector. In thi
Adversarial Multi-task Learning for Text Classification
IntroductionMost existing work on multi-task learning attempts to divide the features of different tasks into private and shared spaces, merely based on whether parameters of some components should be
Neural Discourse Structure for Text Categorization
IntroductionDiscourse structure represents the organization of a text as a tree. Experimental results show that variants of our model outperform prior work on four out of five tasks considered. In thi
SemEval 2017 sentiment analysis summary
DataStoriesAbstractThis paper built two sentiment analysis systems based on LSTM with two kinds of attention mechanism on top of word embeddings pre-trained on a big collection of Twitter messages. Th