We explore the near-synonym lexical choice problem using a novel representation of near-synonyms and their contexts in the latent semantic space. In contrast to traditional latent...
We investigate full-scale shortest-derivation parsing (SDP), wherein the parser selects an analysis built from the fewest number of training fragments. Shortest derivation parsing...
Mapping documents into an interlingual representation can help bridge the language barrier of a cross-lingual corpus. Previous approaches use aligned documents as training data to...
Psychological measures of concreteness of words are generally estimated by having humans provide ratings of words on a concreteness scale. Due to the limits of this technique, con...
Shi Feng, Zhiqiang Cai, Scott A. Crossley, Daniell...
Polarity classification of words is important for applications such as Opinion Mining and Sentiment Analysis. A number of sentiment word/sense dictionaries have been manually or ...
Eduard C. Dragut, Hong Wang, Clement T. Yu, A. Pra...