We augment a model of translation based on re-ordering nodes in syntactic trees in order to allow alignments not conforming to the original tree structure, while keeping computati...
This paper presents a dependency language model (DLM) that captures linguistic constraints via a dependency structure, i.e., a set of probabilistic dependencies that express the r...
Polarized dependency (PD-) grammars are proposed as a means of efficient treatment of discontinuous constructions. PD-grammars describe two kinds of dependencies : local, explicit...
We present a machine learning approach to evaluating the wellformedness of output of a machine translation system, using classifiers that learn to distinguish human reference tran...
Simon Corston-Oliver, Michael Gamon, Chris Brocket...
This paper presents a Chinese word segmentation system that uses improved sourcechannel models of Chinese sentence generation. Chinese words are defined as one of the following fo...
We develop a framework for formalizing semantic construction within grammars expressed in typed feature structure logics, including HPSG. The approach provides an alternative to t...
We present a domain-independent topic segmentation algorithm for multi-party speech. Our feature-based algorithm combines knowledge about content using a text-based algorithm as a...
Michel Galley, Kathleen McKeown, Eric Fosler-Lussi...
We present a novel, data-driven method for integrated shallow and deep parsing. Mediated by an XML-based multi-layer annotation architecture, we interleave a robust, but accurate ...
Anette Frank, Markus Becker, Berthold Crysmann, Be...
We consider the question "How much strong generative power can be squeezed out of a formal system without increasing its weak generative power?" and propose some theoret...
Recent work in Question Answering has focused on web-based systems that extract answers using simple lexicosyntactic patterns. We present an alternative strategy in which patterns...
Michael Fleischman, Eduard H. Hovy, Abdessamad Ech...