ACL
2012
11 years 7 months ago
2012
We present a novel approach to the automatic acquisition of a Verbnet like classification of French verbs which involves the use (i) of a neural clustering method which associate...
ACL
2012
11 years 7 months ago
2012
Many machine translation (MT) evaluation metrics have been shown to correlate better with human judgment than BLEU. In principle, tuning on these metrics should yield better syste...
ACL
2012
11 years 7 months ago
2012
The integration of multiword expressions in a parsing procedure has been shown to improve accuracy in an artificial context where such expressions have been perfectly pre-identi...
SIGIR
2012
ACM
11 years 7 months ago
2012
ACM
The intent-oriented search diversification methods developed in the field so far tend to build on generative views of the retrieval system to be diversified. Core algorithm compon...
SIGIR
2012
ACM
11 years 7 months ago
2012
ACM
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
ICDE
2012
IEEE
11 years 7 months ago
2012
IEEE
—When comparing clustering results, any evaluation metric breaks down the available information to a single number. However, a lot of evaluation metrics are around, that are not ...
ENASE
2011
12 years 4 months ago
2011
In previous research, many mutation selection techniques have been proposed to reduce the cost of mutation analysis. After a mutant subset is selected, researchers could obtain a t...
ICCV
2011
IEEE
12 years 5 months ago
2011
IEEE
Rank correlation measures are known for their resilience to perturbations in numeric values and are widely used in many evaluation metrics. Such ordinal measures have rarely been ...
ACL
2011
12 years 8 months ago
2011
A lack of standard datasets and evaluation metrics has prevented the field of paraphrasing from making the kind of rapid progress enjoyed by the machine translation community ove...
COLING
2010
13 years 1 days ago
2010
Several researchers have proposed semi-supervised learning methods for adapting event extraction systems to new event types. This paper investigates two kinds of bootstrapping met...