This paper presents an approach to solving the problem of textual entailment recognition and describes the computer application built to demonstrate the performance of the proposed approach. The method presented here is based on syntax-driven semantic analysis and uses the notion of atomic proposition as its main element for entailment recognition. The idea is to find the entailment relation in the sentence pairs by comparing the atomic propositions contained in the text and hypothesis sentences. The comparison of atomic propositions is performed via an automated deduction system OTTER; the propositions are extracted from the output of the Link Parser; and semantic knowledge is taken from the WordNet database. On its current stage the syste...
The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and ...
We present an approach to textual entailment recog-nition, in which inference is based on a shallow ...
This paper proposes a new architecture for textual inference in which finding a good alignment is se...
This paper describes Macquarie University’s Centre for Language Technology contribution to the PASCA...
We present the architecture and the evaluation of a new system for recognizing textual entailment (R...
In this paper, the architecture and evaluation of a new system for recognizing textual entailment (R...
Abstract—In this paper, the architecture and evaluation of a new system for recognizing textual enta...
Abstract. This paper discusses the recognition of textual entailment in a text-hypothesis pair by ap...
In this paper we describe the system we have developed to overcome the textual entailment recognitio...
The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and ...
The textual entailment recognition system that we discuss in this paper represents a perspective-bas...
The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and ...
Recognizing textual entailment is a key task for many semantic applications, such as Question Answer...
Text Entailment is the concept of deter-mining whether the message conveyed by one sentence is exact...
The goal of identifying textual entailment – whether one piece of text can be plausibly inferred fr...
The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and ...
We present an approach to textual entailment recog-nition, in which inference is based on a shallow ...
This paper proposes a new architecture for textual inference in which finding a good alignment is se...
This paper describes Macquarie University’s Centre for Language Technology contribution to the PASCA...
We present the architecture and the evaluation of a new system for recognizing textual entailment (R...
In this paper, the architecture and evaluation of a new system for recognizing textual entailment (R...
Abstract—In this paper, the architecture and evaluation of a new system for recognizing textual enta...
Abstract. This paper discusses the recognition of textual entailment in a text-hypothesis pair by ap...
In this paper we describe the system we have developed to overcome the textual entailment recognitio...
The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and ...
The textual entailment recognition system that we discuss in this paper represents a perspective-bas...
The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and ...
Recognizing textual entailment is a key task for many semantic applications, such as Question Answer...
Text Entailment is the concept of deter-mining whether the message conveyed by one sentence is exact...
The goal of identifying textual entailment – whether one piece of text can be plausibly inferred fr...
The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and ...
We present an approach to textual entailment recog-nition, in which inference is based on a shallow ...
This paper proposes a new architecture for textual inference in which finding a good alignment is se...