An Examination of Cross-Cultural Similarities and Differences from Social Media Data with respect to Language Use

no code implementations • LREC 2012 • Mohammad Fazleh Elahi, Paola Monachesi

We present a methodology for analyzing cross-cultural similarities and differences using language as a medium, love as domain, social media as a data source and 'Terms' and 'Topics' as cultural features.

Cultural Vocal Bursts Intensity Prediction

Using the Web and Social Media as Corpora for Monitoring the Spread of Neologisms. The case of `rapefugee', `rapeugee', and `rapugee'.

no code implementations • WS 2016 • Quirin W{\"u}rschinger, Mohammad Fazleh Elahi, Desislava Zhekova, Hans-J{\"o}rg Schmid

Bridging the LAPPS Grid and CLARIN

no code implementations • LREC 2018 • Erhard Hinrichs, Nancy Ide, James Pustejovsky, Jan Haji{\v{c}}, Marie Hinrichs, Mohammad Fazleh Elahi, Keith Suderman, Marc Verhagen, Kyeongmin Rim, Pavel Stra{\v{n}}{\'a}k, Jozef Mi{\v{s}}utka

Recent Developments for the Linguistic Linked Open Data Infrastructure

no code implementations • LREC 2020 • Thierry Declerck, John Philip McCrae, Matthias Hartung, Jorge Gracia, Christian Chiarcos, Elena Montiel-Ponsoda, Philipp Cimiano, Artem Revenko, Roser Saur{\'\i}, Deirdre Lee, Stefania Racioppa, Jamal Abdul Nasir, Matthias Orlikowsk, Marta Lanau-Coronas, Christian F{\"a}th, Mariano Rico, Mohammad Fazleh Elahi, Maria Khvalchik, Meritxell Gonzalez, Katharine Cooney

In this paper we describe the contributions made by the European H2020 project {``}Pr{\^e}t-{\`a}-LLOD{''} ({`}Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors{'}) to the further development of the Linguistic Linked Open Data (LLOD) infrastructure.

Terme-\`a-LLOD: Simplifying the Conversion and Hosting of Terminological Resources as Linked Data

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.