Metaphor understanding in Computational Linguistics has largely been focused on the development of stand-alone prototypes for which only small-scale evaluations are carried out. T...
In this paper, we present a method for modeling joint information when generating n-best lists. We apply the method to a novel task of characterizing the similarity of a group of ...
In this paper we explore robustness and domain adaptation issues for Word Sense Disambiguation (WSD) using Singular Value Decomposition (SVD) and unlabeled data. We focus on the s...
This paper proposes a method for automatic POS (part-of-speech) guessing of Chinese unknown words. It contains two models. The first model uses a machinelearning method to predict...
We propose a supervised word sense disambiguation (WSD) method using tree-structured conditional random fields (TCRFs). By applying TCRFs to a sentence described as a dependency t...