Себеп-салдарлық қатынастар

We investigated of the characteristics of in-text causal relations. We designed causal relation tags. With our designed tag set, three annotators annotated 750 Japanese newspaper articles. Then, using the annotated …...

AbstractThe annotation of causal relations in natural language texts can lead to a low inter-annotator agreement. A French corpus annotated with causal relations would be helpful for the evaluation of …...

Biological processes are complex phenom- ena involving a series of events that are re- lated to one another through various relation- ships. Systems that can understand and rea- son over …...

In this work we present an annotation framework to capture causality between events, inspired by TimeML, and a language resource covering both temporal and causal relations. This data set is …...

One aspect of ontology learning methods is the discovery of relations in textual data. One kind of such relations are causal re- lations. Our aim is to discover causations described …...

AbstractThis paper explores extending shallow semantic parsing beyond lexical-unit triggers, using causal relations as a test case. Semantic parsing becomes difficult in the face of the wide variety of linguistic …...

AbstractThe diverse relationships among real-world events, including coreference, temporal, causal, and subevent relations, are fundamental to understanding natural languages. However, two drawbacks of existing datasets limit event relation extraction (ERE) …...