Irina Prodanof

TETI: a TimeML compliant TimEx tagger for Italian

In this paper we will present an ongoing research on the development of a temporal expression tagger and normalizer for Italian, compliant with the TimeML specifications. Similarly to other existing temporal expression taggers, the system is rule-based and benefits from an extensive corpus study to identify the reserved time words. However, it differs from other systems since it implements WordNet-based semantic relations between temporal expressions in order to improve its accuracy. So far, the system reports an F-measure of 86.41% for the subtask of temporal expression detection and bracketing.

Enrichring the Ita-TimeBank with Narrative Containers

English. This paper reports on an annotation experiment to enrich an existing temporally annotated corpus of Italian news articles with Narrative Containers, annotation devices representing temporal windows in text and marking up very informative temporal relations between temporal entities. The annotation has shown that the distribution of Narrative Containers is sensitive to the text genre and may be used to facilitate the creation of informative timelines. Italiano. Questo lavoro illustra i risultati di un esperimento di annotazione per l’identificazione di Contenitori Narrativi, ovvero marcatori di “finestre” temporali in un testo, come strategia per arricchire un corpus di articoli di quotidiano in lingua italiana, già annotato con informazioni temporali. L’annotazione ha mostrato che la distribuzione dei Contenitori Narrativi è legata al genere testuale e può essere usata per facilitare la creazione di linee temporali di eventi più informa-

Annotating Content Zones in News Articles

English. This paper reports on an annotation experiment to enrich an existing temporally annotated corpus of Italian news articles with Narrative Containers, annotation devices representing temporal windows in text and marking up very informative temporal relations between temporal entities. The annotation has shown that the distribution of Narrative Containers is sensitive to the text genre and may be used to facilitate the creation of informative timelines. Italiano. Questo lavoro illustra i risultati di un esperimento di annotazione per l’identificazione di Contenitori Narrativi, ovvero marcatori di “finestre” temporali in un testo, come strategia per arricchire un corpus di articoli di quotidiano in lingua italiana, già annotato con informazioni temporali. L’annotazione ha mostrato che la distribuzione dei Contenitori Narrativi è legata al genere testuale e può essere usata per facilitare la creazione di linee temporali di eventi più informa-

Temporal Relations with Signals: The Case of Italian Temporal Prepositions

This paper presents a Maximum Entropy tagger for the identification of intra-sentential temporal relations between temporal expressions and eventualities mediated by temporal signals in constructions of the kind eventuality + signal + temporal relation. The tagger reports an accuracy rate of 90.8%, outperforming the baseline (81.8%). One of the main results of this work is represented by the identification of a set of robust features which may be automatically obtained with a relative computational effort.