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NAACL
2007
14 years 11 months ago
Combination of Statistical Word Alignments Based on Multiple Preprocessing Schemes
We present an approach to using multiple preprocessing schemes to improve statistical word alignments. We show a relative reduction of alignment error rate of about 38%.
Jakob Elming, Nizar Habash
NAACL
2004
14 years 11 months ago
A Language Modeling Approach to Predicting Reading Difficulty
We demonstrate a new research approach to the problem of predicting the reading difficulty of a text passage, by recasting readability in terms of statistical language modeling. W...
Kevyn Collins-Thompson, James P. Callan
NAACL
2004
14 years 11 months ago
Evaluating Content Selection in Summarization: The Pyramid Method
We present an empirically grounded method for evaluating content selection in summarization. It incorporates the idea that no single best model summary for a collection of documen...
Ani Nenkova, Rebecca J. Passonneau
NAACL
2004
14 years 11 months ago
What's in a translation rule?
We propose a theory that gives formal semantics to word-level alignments defined over parallel corpora. We use our theory to introduce a linear algorithm that can be used to deriv...
Michel Galley, Mark Hopkins, Kevin Knight, Daniel ...
NAACL
2004
14 years 11 months ago
Cross-Document Coreference on a Large Scale Corpus
In this paper, we will compare and evaluate the effectiveness of different statistical methods in the task of cross-document coreference resolution. We created entity models for d...
Chung Heong Gooi, James Allan