MLCW
2005
Springer
13 years 10 months ago
2005
Springer
Textual Entailment recognition is a very difficult task as it is one of the fundamental problems in any semantic theory of natural language. As in many other NLP tasks, Machine Lea...
MLCW
2005
Springer
13 years 10 months ago
2005
Springer
In this paper we present lessons learned in the Evaluating Predictive Uncertainty Challenge. We describe the methods we used in regression challenges, including our winning method ...
MLCW
2005
Springer
13 years 10 months ago
2005
Springer
The Recognizing Textual Entailment System shown here is based on the use of a broad-coverage parser to extract dependency relationships; in addition, WordNet relations are used to ...
MLCW
2005
Springer
13 years 10 months ago
2005
Springer
This paper describes the Bar-Ilan system participating in the Recognising Textual Entailment Challenge. The paper proposes first a general probabilistic setting that formalizes th...
MLCW
2005
Springer
13 years 10 months ago
2005
Springer
The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic s...
MLCW
2005
Springer
13 years 10 months ago
2005
Springer
MLCW
2005
Springer
13 years 10 months ago
2005
Springer
This paper describes the PASCAL Network of Excellence first Recognising Textual Entailment (RTE-1) Challenge benchmark1 . The RTE task is defined as recognizing, given two text f...
MLCW
2005
Springer
13 years 10 months ago
2005
Springer
In many regression tasks, in addition to an accurate estimate of the conditional mean of the target distribution, an indication of the predictive uncertainty is also required. Ther...
MLCW
2005
Springer
13 years 10 months ago
2005
Springer
This Chapter presents the PASCAL1 Evaluating Predictive Uncertainty Challenge, introduces the contributed Chapters by the participants who obtained outstanding results, and provide...
MLCW
2005
Springer
13 years 10 months ago
2005
Springer
Semantic entailment is the problem of determining if the meaning of a given sentence entails that of another. This is a fundamental problem in natural language understanding that ...