Since 2005, researchers have worked on a broad task called Recognizing Textual Entailment (RTE), which is designed to focus efforts on general textual inference capabilities, but without constraining participants to use a specific representation or reasoning approach. There have been promising developments in this sub-fiel
[[abstract]]Recognizing Textual Entailment (RTE) is a task in which two text fragments are processed...
Textual Entailment is a directional relation between two text fragments. The relation holds whenever...
In this paper, the architecture and evaluation of a new system for recognizing textual entailment (R...
In this paper, we explore the application of inference rules for recogniz-ing textual entailment (RT...
The goal of identifying textual entailment – whether one piece of text can be plausibly inferred fr...
In the last few years, a number of NLP researchers have developed and participated in the task of Re...
While semantic inference has always been a major focus in Computational Linguistics, the topic has b...
Recognition of textual entailment is not an easy task. In fact, early experimental evidences in [1] ...
Abstract. Recognition of textual entailment is not an easy task. In fact, early experimental evidenc...
Textual Entailment (TE) aims at capturing major semantic inference needs across applications in Natu...
This paper describes the PASCAL Network of Excellence Recognising Textual Entailment (RTE) Challenge...
This paper presents a general-purpose open source package for recognizing Textual Entailment. The sy...
We present the architecture and the evaluation of a new system for recognizing textual entailment (R...
In this paper, we explore ways of improv-ing an inference rule collection and its ap-plication to th...
To prepare an evaluation dataset for textual entailment (TE) recognition, human annotators label ric...
[[abstract]]Recognizing Textual Entailment (RTE) is a task in which two text fragments are processed...
Textual Entailment is a directional relation between two text fragments. The relation holds whenever...
In this paper, the architecture and evaluation of a new system for recognizing textual entailment (R...
In this paper, we explore the application of inference rules for recogniz-ing textual entailment (RT...
The goal of identifying textual entailment – whether one piece of text can be plausibly inferred fr...
In the last few years, a number of NLP researchers have developed and participated in the task of Re...
While semantic inference has always been a major focus in Computational Linguistics, the topic has b...
Recognition of textual entailment is not an easy task. In fact, early experimental evidences in [1] ...
Abstract. Recognition of textual entailment is not an easy task. In fact, early experimental evidenc...
Textual Entailment (TE) aims at capturing major semantic inference needs across applications in Natu...
This paper describes the PASCAL Network of Excellence Recognising Textual Entailment (RTE) Challenge...
This paper presents a general-purpose open source package for recognizing Textual Entailment. The sy...
We present the architecture and the evaluation of a new system for recognizing textual entailment (R...
In this paper, we explore ways of improv-ing an inference rule collection and its ap-plication to th...
To prepare an evaluation dataset for textual entailment (TE) recognition, human annotators label ric...
[[abstract]]Recognizing Textual Entailment (RTE) is a task in which two text fragments are processed...
Textual Entailment is a directional relation between two text fragments. The relation holds whenever...
In this paper, the architecture and evaluation of a new system for recognizing textual entailment (R...