We present the INSYSE method for the annotation of texts, based on extraction of semantic relations from syntactic structures. We is method to a corpus of 5000 Medline abstracts ab...
Laurent Alamarguy, Rose Dieng-Kuntz, Catherine Far...
In this paper, we present a learning approach to the scenario template task of information extraction, where information filling one template could come from multiple sentences. ...
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
This work aims to extract causal relations that exist between two events expressed by noun phrases or sentences. The previous works for the causality made use of causal patterns su...
Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use...