16 citations · 16 across the 2 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…