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ORCIDJuan Soler Company
Person information
- affiliation: Universitat Pompeu Fabra, Barcelona, Spain
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2020 – today
- 2023
[i1]Despoina Chatzakou, Juan Soler Company, Theodora Tsikrika, Leo Wanner, Stefanos Vrochidis, Ioannis Kompatsiaris:
User Identity Linkage in Social Media Using Linguistic and Social Interaction Features. CoRR abs/2308.11684 (2023)- 2021
- [j2]Paula Fortuna, Juan Soler Company, Leo Wanner:
How well do hate speech, toxicity, abusive and offensive language classification models generalize across datasets? Inf. Process. Manag. 58(3): 102524 (2021) - [c17]Mónica Domínguez, Juan Soler Company, Leo Wanner:
ThemePro 2.0: Showcasing the Role of Thematic Progression in Engaging Human-Computer Interaction. Interspeech 2021: 2345-2346 - 2020
- [c16]Mónica Domínguez, Juan Soler Company, Leo Wanner:
ThemePro: A Toolkit for the Analysis of Thematic Progression. LREC 2020: 1000-1007 - [c15]Paula Fortuna, Juan Soler Company, Leo Wanner:
Toxic, Hateful, Offensive or Abusive? What Are We Really Classifying? An Empirical Analysis of Hate Speech Datasets. LREC 2020: 6786-6794 - [c14]Despoina Chatzakou
, Juan Soler Company, Theodora Tsikrika, Leo Wanner, Stefanos Vrochidis, Ioannis Kompatsiaris:
User Identity Linkage in Social Media Using Linguistic and Social Interaction Features. WebSci 2020: 295-304
2010 – 2019
- 2019
- [c13]Mónica Domínguez, Patrick Louis Rohrer, Juan Soler Company:
PyToBI: A Toolkit for ToBI Labeling Under Python. INTERSPEECH 2019: 3675-3676 - [c12]Juan Soler Company, Leo Wanner:
Automatic Classification and Linguistic Analysis of Extremist Online Material. MMM (2) 2019: 577-582 - [c11]Paula Fortuna, Juan Soler Company, Sérgio Nunes:
Stop PropagHate at SemEval-2019 Tasks 5 and 6: Are abusive language classification results reproducible? SemEval@NAACL-HLT 2019: 745-752 - 2018
- [j1]Juan Soler Company, Leo Wanner:
On the role of syntactic dependencies and discourse relations for author and gender identification. Pattern Recognit. Lett. 105: 87-95 (2018) - [c10]Juan Soler Company, Leo Wanner:
Automatic Identification of Texts Written by Authors with Alzheimer's Disease. CogSci 2018 - 2017
- [b1]Juan Soler Company:
Feature engineering for author profiling and identification: on the relevance of syntax and discourse. Pompeu Fabra University, Spain, 2017 - [c9]Francesco Barbieri, Luis Espinosa Anke, Miguel Ballesteros, Juan Soler Company, Horacio Saggion:
Towards the Understanding of Gaming Audiences by Modeling Twitch Emotes. NUT@EMNLP 2017: 11-20 - [c8]Juan Soler Company, Leo Wanner:
On the Relevance of Syntactic and Discourse Features for Author Profiling and Identification. EACL (2) 2017: 681-687 - 2016
- [c7]Juan Soler Company, Leo Wanner:
Authorship Attribution Using Syntactic Dependencies. CCIA 2016: 303-308 - [c6]Juan Soler Company, Leo Wanner:
A Semi-Supervised Approach for Gender Identification. LREC 2016 - [c5]Juan Soler Company:
Use of Discourse and Syntactic Features for Gender Identification. STAIRS 2016: 215-220 - 2015
- [c4]Juan Soler Company, Leo Wanner:
Multiple Language Gender Identification for Blog Posts. CogSci 2015 - [c3]Juan Soler Company, Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner:
Visualizing Deep-Syntactic Parser Output. HLT-NAACL 2015: 56-60 - 2014
- [c2]Juan Soler Company, Leo Wanner:
How to Use less Features and Reach Better Performance in Author Gender Identification. LREC 2014: 1315-1319 - [c1]Ben Verhoeven, Juan Soler Company, Walter Daelemans:
Evaluating Content-Independent Features for Personality Recognition. WCPR@MM 2014: 7-10
Coauthor Index
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