Add to ORKGTruth based entailments are not sufficient for a good comprehension of NL. In fact, it can not deduce implicit information necessary to understand a text. On the other hand, norm based entailments are able to reach this goal. This idea was behind the development of Frames (Minsky 75) and Scripts (Schank 77, Schank 79) in the 70's. But these theories are not formalized enough and their adaptation to new situations is far from being obvious. In this paper, we present a reasoning system which uses norms in a causal reasoning process in order to find the cause of an accident from a text describing it
Causal relations in natural language (NL) requirements convey strong, semantic information. Automati...
Drawing conclusions about real-world relationships of cause and effect from data collected without r...
[Context & motivation:] System behavior is often expressed by causal relations in requiremen...
In this paper we describe an architecture of a system that answer the question : Why did the acciden...
AbstractEvery human being, reading a short report concerning a road accident, gets an idea of its ca...
Knowing the norms of a domain is crucial, but there exists no repository of norms. We propose a meth...
Norms are essential to extend inference: inferences based on norms are far richer than those based o...
In this paper we describe an inference-based approach to understand natural language. We present a f...
The abundance of information on the internet has impacted the lives of people to a great extent. Peo...
Norms are essential to extend inference: inferences based on norms are far richer than those based o...
In this paper, we address the problem of extracting causal knowledge from text documents in a weakly...
This thesis studies the automatic recognition of implicit causal relations between clauses. Previous...
Abstract Norms are essential to extend inference: inferences based on norms are far richer than thos...
Causal relations in natural language (NL) requirements convey strong, semantic information. Automati...
International audienceWe define an inference system to capture explanations based on causal statemen...
Causal relations in natural language (NL) requirements convey strong, semantic information. Automati...
Drawing conclusions about real-world relationships of cause and effect from data collected without r...
[Context & motivation:] System behavior is often expressed by causal relations in requiremen...
In this paper we describe an architecture of a system that answer the question : Why did the acciden...
AbstractEvery human being, reading a short report concerning a road accident, gets an idea of its ca...
Knowing the norms of a domain is crucial, but there exists no repository of norms. We propose a meth...
Norms are essential to extend inference: inferences based on norms are far richer than those based o...
In this paper we describe an inference-based approach to understand natural language. We present a f...
The abundance of information on the internet has impacted the lives of people to a great extent. Peo...
Norms are essential to extend inference: inferences based on norms are far richer than those based o...
In this paper, we address the problem of extracting causal knowledge from text documents in a weakly...
This thesis studies the automatic recognition of implicit causal relations between clauses. Previous...
Abstract Norms are essential to extend inference: inferences based on norms are far richer than thos...
Causal relations in natural language (NL) requirements convey strong, semantic information. Automati...
International audienceWe define an inference system to capture explanations based on causal statemen...
Causal relations in natural language (NL) requirements convey strong, semantic information. Automati...
Drawing conclusions about real-world relationships of cause and effect from data collected without r...
[Context & motivation:] System behavior is often expressed by causal relations in requiremen...