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Enriching a Lexicon of Discourse Connectives with Corpus-based Data

We present the results of the effort of enriching the pre-existing resource LICO, a Lexicon of Italian COnnectives retrieved from lexicographic sources (Feltracco et al., 2016), with real corpus data for connectives marking contrast relations in text. The motivation beyond our effort is that connectives can only be interpreted when they appear in context, that is, in a relation between the two fragments of text that constitute the two arguments of the relation. In this perspective, adding corpus examples annotated with connectives and arguments for the relation allows us to both extend the resource and validate the lexicon. In order to retrieve good corpus examples, we take advantage of the existing Contrast-Ita Bank (Feltracco et al., 2017), a corpus of news annotated with explicit and implicit discourse contrast relations for Italian according to the annotation scheme proposed in the Penn Discourse Tree Bank (PDTB) guidelines (Prasad et al., 2007). We also use an extended -non contrast annotated- version of the same corpus and documents from Wikipedia. The resulting resource represents a valuable tool for both linguistic analyses of discourse relations and the training of a classifier for NLP applications.