no code implementations • NAACL 2022 • Nasim Nouri
Recently, it has been shown that both syntactic and semantic similarities between the source and the converted text are important for TST.
no code implementations • NAACL 2022 • Nasim Nouri
To address this limitation, in this work we propose a novel method in which the large-scale pre-trained language model GPT-2 is employed to generate synthetic training data for OSD.
no code implementations • EMNLP 2020 • Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen
In this work, we propose to incorporate the syntactic structures of the sentences into the deep learning models for TOWE, leveraging the syntax-based opinion possibility scores and the syntactic connections between the words.
Aspect-Based Sentiment Analysis Aspect-oriented Opinion Extraction +1