no code implementations • LDL (ACL) 2022 • Fahad Khan, Christian Chiarcos, Thierry Declerck, Maria Pia di Buono, Milan Dojchinovski, Jorge Gracia, Giedre Valunaite Oleskeviciene, Daniela Gifu
This article discusses a survey carried out within the NexusLinguarum COST Action which aimed to give an overview of existing guidelines (GLs) and best practices (BPs) in linguistic linked data.
no code implementations • 22 Mar 2021 • Carola Carlino, Gennaro Nolano, Maria Pia di Buono, Johanna Monti
This report presents an analysis of #hashtags used by Italian Cultural Heritage institutions to promote and communicate cultural content during the COVID-19 lock-down period in Italy.
no code implementations • 21 May 2020 • Carola Carlino, Gennaro Nolano, Maria Pia di Buono, Johanna Monti
This report presents an analysis of #hashtags used by Italian Cultural Heritage institutions to promote and communicate cultural content during the COVID-19 lock-down period in Italy.
no code implementations • LREC 2020 • Raffaele Manna, Giulia Speranza, Maria Pia di Buono, Johanna Monti
In this paper we describe the system submitted to the ELEXIS Monolingual Word Sense Alignment Task.
no code implementations • LREC 2020 • Maria Pia di Buono, Philipp Cimiano, Mohammad Fazleh Elahi, Frank Grimm
While we apply this paradigm to the transformation and hosting of terminologies as linked data, the paradigm can be applied to any other resource format as well.
no code implementations • LREC 2020 • Giulia Speranza, Maria Pia di Buono, Johanna Monti, Federico Sangati
Terminological resources have proven crucial in many applications ranging from Computer-Aided Translation tools to authoring softwares and multilingual and cross-lingual information retrieval systems.
no code implementations • SEMEVAL 2018 • Martin Gluhak, Maria Pia di Buono, Abbas Akkasi, Jan {\v{S}}najder
We describe two systems for semantic relation classification with which we participated in the SemEval 2018 Task 7, subtask 1 on semantic relation classification: an SVM model and a CNN model.
no code implementations • WS 2017 • Maria Pia di Buono, Jan {\v{S}}najder, Bojana Dalbelo Ba{\v{s}}i{\'c}, Goran Glava{\v{s}}, Martin Tutek, Natasa Milic-Frayling
We present a preliminary study on predicting news values from headline text and emotions.
no code implementations • WS 2017 • Maria Pia di Buono
In this paper, we present our preliminary study on an ontology-based method to extract and classify compositional nominal compounds in specific domains of knowledge.
no code implementations • WS 2017 • Maria Pia di Buono, Martin Tutek, Jan {\v{S}}najder, Goran Glava{\v{s}}, Bojana Dalbelo Ba{\v{s}}i{\'c}, Nata{\v{s}}a Mili{\'c}-Frayling
In this paper, we describe our preliminary study on annotating event mention as a part of our research on high-precision news event extraction models.
no code implementations • LREC 2016 • Maria Pia di Buono
Parsing Web information, namely parsing content to find relevant documents on the basis of a user{'}s query, represents a crucial step to guarantee fast and accurate Information Retrieval (IR).
no code implementations • LREC 2014 • Maria Pia di Buono, Mario Monteleone
This paper presents an on-going Natural Language Processing (NLP) research based on Lexicon-Grammar (LG) and aimed at improving knowledge management of Cultural Heritage (CH) domain.