activity
20162026
most citedExploring Emoji Usage and Prediction Through a Temporal Variation Lens

33 citations · 54 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2026

MioFFAn: an Annotation Software for Formula Formalization with LLM Automation Capabilities

Nicolas Sibuet, Horacio Saggion, Riccardo Rossi

The automatic translation of mathematical expressions in scientific literature into executable symbolic code (a process we refer to as Formula Formalization) is hindered by a sever…

cs.CL2019

Recognizing Musical Entities in User-generated Content

Lorenzo Porcaro, Horacio Saggion

Recognizing Musical Entities is important for Music Information Retrieval (MIR) since it can improve the performance of several tasks such as music recommendation, genre classifica…

cs.CL2018★ 33 cited

Exploring Emoji Usage and Prediction Through a Temporal Variation Lens

Francesco Barbieri, Luis Marujo, Pradeep Karuturi +2

The frequent use of Emojis on social media platforms has created a new form of multimodal social interaction. Developing methods for the study and representation of emoji semantics…

cs.CL2018

Multimodal Emoji Prediction

Francesco Barbieri, Miguel Ballesteros, Francesco Ronzano +1

Emojis are small images that are commonly included in social media text messages. The combination of visual and textual content in the same message builds up a modern way of commun…

cs.CL2017★ 16 cited

Are Emojis Predictable?

Francesco Barbieri, Miguel Ballesteros, Horacio Saggion

Emojis are ideograms which are naturally combined with plain text to visually complement or condense the meaning of a message. Despite being widely used in social media, their unde…

cs.CL2016★ 5 cited

DefExt: A Semi Supervised Definition Extraction Tool

Luis Espinosa-Anke, Roberto Carlini, Horacio Saggion +1

We present DefExt, an easy to use semi supervised Definition Extraction Tool. DefExt is designed to extract from a target corpus those textual fragments where a term is explicitly…