no code implementations • WS 2017 • Bego{\~n}a Altuna, Anne-Lyse Minard, Manuela Speranza
In this paper we present a complete framework for the annotation of negation in Italian, which accounts for both negation scope and negation focus, and also for language-specific phenomena such as negative concord.
no code implementations • COLING 2016 • Bernardo Magnini, Anne-Lyse Minard, Mohammed R. H. Qwaider, Manuela Speranza
This paper presents TextPro-AL (Active Learning for Text Processing), a platform where human annotators can efficiently work to produce high quality training data for new domains and new languages exploiting Active Learning methodologies.
no code implementations • LREC 2016 • Anne-Lyse Minard, Manuela Speranza, Ruben Urizar, Bego{\~n}a Altuna, Marieke van Erp, Anneleen Schoen, Chantal van Son
The {``}First CLIN Dutch Shared Task{''} at CLIN26 was based on the Dutch section, while the EVALITA 2016 FactA (Event Factuality Annotation) shared task, based on the Italian section, is currently being organized.
1 code implementation • LREC 2014 • Christian Girardi, Manuela Speranza, Rachele Sprugnoli, Sara Tonelli
In this paper we present CROMER (CROss-document Main Events and entities Recognition), a novel tool to manually annotate event and entity coreference across clusters of documents.