Vector-based models of lexical semantics retrieve semantically related words automatically from large corpora by exploiting the property that words with a similar meaning tend to ...
This paper presents an algorithm for correcting language errors typical of second-language learners. We focus on preposition errors, which are very common among second-language le...
Most existing sketch understanding systems require a closed domain to achieve recognition. This paper describes an incremental learning technique for opendomain recognition. Our s...
Andrew M. Lovett, Morteza Dehghani, Kenneth D. For...
We report the results of an experiment to assess the ability of automated MT evaluation metrics to remain sensitive to variations in MT quality as the average quality of the compa...
Latent Semantic Indexing (LSI) has been shown to be effective in recovering from synonymy and polysemy in text retrieval applications. However, since LSI ignores class labels of t...
Sutanu Chakraborti, Rahman Mukras, Robert Lothian,...