GeDa: Improving training data with large language models for Aspect Sentiment Triplet Extraction

Training language models to follow instructions with human feedback

Long Ouyang, Jeff Wu, Xu Jiang et al. · arXiv (Cornell University) · 2022 · 4.3K citations · Full text

Computing, Computer Science, Computational Linguistics +16

LLaMA: Open and Efficient Foundation Language Models

Hugo Touvron, Thibaut Lavril, Gautier Izacard et al. · arXiv (Cornell University) · 2023 · 3.9K citations · Full text

Computing, Computer Science, Computational Linguistics +12

PaLM: Scaling Language Modeling with Pathways

Aakanksha Chowdhery, Sharan Narang, Jacob Devlin et al. · arXiv (Cornell University) · 2022 · 2.1K citations · Full text

Computing, Computer Science, Computational Linguistics +15

Aspect based sentiment analysis using deep learning approaches: A survey

Ganpat Singh Chauhan, Ravi Nahta, Yogesh Kumar Meena et al. · Computer Science Review · 2023 · 67 citations

Computing, Computer Science, Machine Learning +13

Encoding Syntactic Information into Transformers for Aspect-Based Sentiment Triplet Extraction

Yuan Li, Jin Wang, Liang-Chih Yu et al. · IEEE Transactions on Affective Computing · 2023 · 61 citations · Full text

Computing, Computer Science, Computational Linguistics +16