Papers
369 papers found
TILeN at SemEval-2025 Task 11: A Transformer-Based Model for Sentiment Classification Applied to the Russian Language
Jorge Reyes - Magaña, Luis Basto - Díaz, Luis Fernando Curi - Quintal
JellyK at SemEval-2025 Task 11: Russian Multi-label Emotion Detection with Pre-trained BERT-based Language Models
Khoa Anh-Nguyen Le, Dang Van Thin
JUNLP_Sarika at SemEval-2025 Task 11: Bridging Contextual Gaps in Text-Based Emotion Detection using Transformer Models
Sarika Khatun, Dipanjan Saha, Dipankar Das
University of Indonesia at SemEval-2025 Task 11: Evaluating State-of-the-Art Encoders for Multi-Label Emotion Detection
Ikhlasul Akmal Hanif, Eryawan Presma Yulianrifat, Jaycent Gunawan Ongris et al.
UT-NLP at SemEval-2025 Task 11: Evaluating Zero-Shot Capability of GPT-4o mini on Emotion Recognition via Role-Play and Contrastive Judging
Amirhossein Safdarian, Milad Mohammadi, Heshaam Faili
NUST Titans at SemEval-2025 Task 11: AfroEmo: Multilingual Emotion Detection with Adaptive Afro-XLM-R
Mehwish Fatima, Maham Khan, Hajra Binte Naeem et al.
QiMP at SemEval-2025 Task 11: Optimizing Text-based Emotion Classification in English Beyond Traditional Methods
Mariia Bogatyreva, Pascal Gaertner, Quim Ribas et al.
AKCIT at SemEval-2025 Task 11: Investigating Data Quality in Portuguese Emotion Recognition
Iago A. Brito, Fernanda B. Färber, Julia S. Dollis et al.
SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin et al.
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles
Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth et al.
ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them
Dawid Jurkiewicz, Łukasz Borchmann, Izabela Kosmala et al.
Aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning
Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov
CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda Detection
Verena Blaschke, Maxim Korniyenko, Sam Tureski
Inno at SemEval-2020 Task 11: Leveraging Pure Transfomer for Multi-Class Propaganda Detection
Dmitry Grigorev, Vladimir Ivanov
NoPropaganda at SemEval-2020 Task 11: A Borrowed Approach to Sequence Tagging and Text Classification
Ilya Dimov, Vladislav Korzun, Ivan Smurov
NTUAAILS at SemEval-2020 Task 11: Propaganda Detection and Classification with biLSTMs and ELMo
Anastasios Arsenos, Georgios Siolas
Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles
Michael Kranzlein, Shabnam Behzad, Nazli Goharian
YNU-HPCC at SemEval-2020 Task 11: LSTM Network for Detection of Propaganda Techniques in News Articles
Jiaxu Dao, Jin Wang, Xuejie Zhang
3218IR at SemEval-2020 Task 11: Conv1D and Word Embedding in Propaganda Span Identification at News Articles
Dimas Sony Dewantara, Indra Budi, Muhammad Okky Ibrohim
BPGC at SemEval-2020 Task 11: Propaganda Detection in News Articles with Multi-Granularity Knowledge Sharing and Linguistic Features Based Ensemble Learning
Rajaswa Patil, Somesh Singh, Swati Agarwal
DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda Classification
Anastasios Bairaktaris, Symeon Symeonidis, Avi Arampatzis
Hitachi at SemEval-2020 Task 11: An Empirical Study of Pre-Trained Transformer Family for Propaganda Detection
Gaku Morio, Terufumi Morishita, Hiroaki Ozaki et al.
JUST at SemEval-2020 Task 11: Detecting Propaganda Techniques Using BERT Pre-trained Model
Ola Altiti, Malak Abdullah, Rasha Obiedat
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification
Sopan Khosla, Rishabh Joshi, Ritam Dutt et al.