We introduce the novel task of determining whether a newswire article is "true" or satirical. We experiment with SVMs, feature scaling, and a number of lexical and seman...
Combining word alignments trained in two translation directions has mostly relied on heuristics that are not directly motivated by intended applications. We propose a novel method...
We study the global topology of the syntactic and semantic distributional similarity networks for English through the technique of spectral analysis. We observe that while the syn...
Chris Biemann, Monojit Choudhury, Animesh Mukherje...
The GIVE Challenge is a recent shared task in which NLG systems are evaluated over the Internet. In this paper, we validate this novel NLG evaluation methodology by comparing the ...
Alexander Koller, Kristina Striegnitz, Donna Byron...
Efficient processing of tera-scale text data is an important research topic. This paper proposes lossless compression of Ngram language models based on LOUDS, a succinct data stru...
The abundance of homophones in Chinese significantly increases the number of similarly acceptable candidates in English-to-Chinese transliteration (E2C). The dialectal factor also...
Often, Statistical Machine Translation (SMT) between English and Korean suffers from null alignment. Previous studies have attempted to resolve this problem by removing unnecessar...
Searching for a person name in a Web Search Engine usually leads to a number of web pages that refer to several people sharing the same name. In this paper we study whether it is ...
Javier Artiles, Julio Gonzalo, Enrique Amigó...
In this paper, emotion analysis on blog texts has been carried out for a less privileged language like Bengali. Ekman's six basic emotion types have been selected for reliabl...