EMNLP
2007
14 years 1 months ago
2007
This paper reports a hybridization experi ment, where a baseline ML dependency pars er, LingPars, was allowed access to Con straint Grammar ...
EMNLP
2007
14 years 1 months ago
2007
It is possible to reduce the bulk of phrasetables for Statistical Machine Translation using a technique based on the significance testing of phrase pair co-occurrence in the para...
EMNLP
2007
14 years 1 months ago
2007
This paper presents an empirical study on how different selections of input translation systems affect translation quality in system combination. We give empirical evidence that t...
EMNLP
2007
14 years 1 months ago
2007
In this paper, we address the problem of extracting data records and their attributes from unstructured biomedical full text. There has been little effort reported on this in the ...
EMNLP
2007
14 years 1 months ago
2007
We present a new approach to automatic summarization based on neural nets, called NetSum. We extract a set of features from each sentence that helps identify its importance in the...
EMNLP
2007
14 years 1 months ago
2007
Approaches to plural reference generation emphasise descriptive brevity, but often lack empirical backing. This paper describes a corpus-based study of plural descriptions, and pr...
EMNLP
2007
14 years 1 months ago
2007
Three versions of the Covington algorithm for non-projective dependency parsing have been tested on the ten different languages for the Multilingual track of the CoNLLX Shared Tas...
EMNLP
2007
14 years 1 months ago
2007
This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses ...
EMNLP
2007
14 years 1 months ago
2007
This paper reports on the benefits of largescale statistical language modeling in machine translation. A distributed infrastructure is proposed which we use to train on up to 2 t...
EMNLP
2007
14 years 1 months ago
2007
This paper provides an algorithmic framework for learning statistical models involving directed spanning trees, or equivalently non-projective dependency structures. We show how p...