Open IE methods extract structured propo-sitions from text. However, these propo-sitions are neither consolidated nor gen-eralized, and querying them may lead to insufficient or redundant information. This work suggests an approach to or-ganize open IE propositions using entail-ment graphs. The entailment relation uni-fies equivalent propositions and induces a specific-to-general structure. We create a large dataset of gold-standard proposition entailment graphs, and provide a novel algorithm for automatically constructing them. Our analysis shows that predicate entailment is extremely context-sensitive, and that current lexical-semantic resources do not capture many of the lexical infer-ences induced by proposition entailment.
The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and ...
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...
Open IE methods extract structured propo-sitions from text. However, these propo-sitions are neither...
Open Information Extraction (Open IE) is a promising approach for unrestricted Information Discovery...
Entailment rules between predicates are fundamental to many semantic-inference applications. Consequ...
Identifying entailment relations between predicates is an important part of applied semantic inferen...
Abstract. In the last years, a relevant research line in Natural Language Processing has focused on ...
This paper presents an approach to solving the problem of textual entailment recognition and describ...
Recognizing textual entailment and paraphrasing is critical to many core natural language processing...
Typed entailment graphs try to learn the entailment relations between predicates from text and model...
Paraphrase recognition is a critical step for natural language interpretation. Accordingly, many NLP...
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...
The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and ...
The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and ...
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...
Open IE methods extract structured propo-sitions from text. However, these propo-sitions are neither...
Open Information Extraction (Open IE) is a promising approach for unrestricted Information Discovery...
Entailment rules between predicates are fundamental to many semantic-inference applications. Consequ...
Identifying entailment relations between predicates is an important part of applied semantic inferen...
Abstract. In the last years, a relevant research line in Natural Language Processing has focused on ...
This paper presents an approach to solving the problem of textual entailment recognition and describ...
Recognizing textual entailment and paraphrasing is critical to many core natural language processing...
Typed entailment graphs try to learn the entailment relations between predicates from text and model...
Paraphrase recognition is a critical step for natural language interpretation. Accordingly, many NLP...
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...
The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and ...
The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and ...
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...