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Francesco Barbieri

6 papers hereh-index 242.5k citations79 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author3
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV1
  • cs.IR1
same name
  • Francesco Barbieri — 7 papers
  • Francesco Barbieri — 5 papers
  • Francesco Barbieri — 3 papers
  • Francesco Barbieri — 2 papers
  • Francesco Barbieri — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedMulti-label Music Genre Classification from Audio, Text, and Images Using Deep Features

64 citations · 80 across the 3 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2019

Learning Cross-lingual Embeddings from Twitter via Distant Supervision

Jose Camacho-Collados, Yerai Doval, Eugenio Martínez-Cámara +3

Cross-lingual embeddings represent the meaning of words from different languages in the same vector space. Recent work has shown that it is possible to construct such representatio…

cs.CL2018

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.