The way information is represented and processed in a neural network may have important consequences on its computational power and complexity. Basically, information representatio...
In this paper we extend the maximum spanning tree (MST) dependency parsing framework of McDonald et al. (2005c) to incorporate higher-order feature representations and allow depen...
Word processors or computers used in Japan employ Japanese input method through keyboard stroke combined with Kana (phonetic) character to Kanji (ideographic, Chinese) character c...
Information retrieval is an important application area of natural-language processing where one encounters the genuine challenge of processing large quantities of unrestricted nat...
In this paper we investigate random forest based language model adaptation. Large amounts of out-of-domain data are used to grow the decision trees while very small amounts of in-...