John-Arthur at SemEval-2023 Task 4: Fine-Tuning Large Language Models for Arguments Classification [PDF]
, 2023 Georgios Balikas
openalex +1 more source
BUTknot at SemEval-2016 Task 5: Supervised Machine Learning with Term Substitution Approach in Aspect Category Detection [PDF]
, 2016 Jakub Macháček
openalex +1 more source
ECNU at SemEval-2016 Task 5: Extracting Effective Features from Relevant Fragments in Sentence for Aspect-Based Sentiment Analysis in Reviews [PDF]
, 2016 Mengxiao Jiang, Zhihua Zhang, Man Lan
openalex +1 more source
LEIA: Linguistic Embeddings for the Identification of Affect. [PDF]
EPJ Data Sci, 2023 Aroyehun ST +5 more
europepmc +1 more source
YNU-HPCC at SemEval-2019 Task 9: Using a BERT and CNN-BiLSTM-GRU Model for Suggestion Mining [PDF]
, 2019 Ping Yue, Jin Wang, Xuejie Zhang
openalex +1 more source
Enhanced drug-drug interaction extraction from biomedical text using deep learning-based sentence representations. [PDF]
Sci RepTahir MT +4 more
europepmc +1 more source
Performance analysis of aspect-level sentiment classification task based on different deep learning models. [PDF]
PeerJ Comput Sci, 2023 Cao F, Huang X.
europepmc +1 more source
KDELAB at SemEval-2020 Task 12: A System for Estimating Aggression of Tweets Using Two Layers of BERT Features [PDF]
, 2020 Keisuke Hanahata, Masaki Aono
openalex +1 more source
DCU: Aspect-based Polarity Classification for SemEval Task 4 [PDF]
, 2014 Joachim Wagner +6 more
openalex +1 more source
Leveraging BiLSTM-CRF and adversarial training for sentiment analysis in nature-based digital interventions: Enhancing mental well-being through MOOC platforms. [PDF]
Digit HealthZang J.
europepmc +1 more source