This paper elaborates a model for representing semantic calendar expressions (SCEs), which correspond to the intensional meanings of natural-language calendar phrases. The model u...
This paper studies the role of base-NP information in dependency parsing for Thai. The baseline performance reveals that the base-NP chunking task for Thai is much more difficult ...
It is shown how weighted context-free grammars can be used to recognize languages beyond their weak generative capacity by a one-step constant time extension of standard recogniti...
This work presents the development of a system that detects incorrect uses of complex postpositions in Basque, an agglutinative language. Error detection in complex postpositions ...
In this paper we propose a new distance function (rank distance) designed to reflect stylistic similarity between texts. To assess the ability of this distance measure to capture ...
Treating classification as seeking minimum cuts in the appropriate graph has proven effective in a number of applications. The power of this approach lies in its ability to incorp...
Recent years have witnessed a growing interest in analogical learning for NLP applications. If the principle of analogical learning is quite simple, it does involve complex steps ...
We present a corpus study of local discourse relations based on the Penn Discourse Tree Bank, a large manually annotated corpus of explicitly or implicitly realized relations. We ...
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...
We present Likey, a language-independent keyphrase extraction method based on statistical analysis and the use of a reference corpus. Likey has a very light-weight preprocessing p...
Mari-Sanna Paukkeri, Ilari T. Nieminen, Matti P&ou...