no code implementations • WS 2019 • Sravan Babu Bodapati, Spandana Gella, Kasturi Bhattacharjee, Yaser Al-Onaizan
User generated text on social media often suffers from a lot of undesired characteristics including hatespeech, abusive language, insults etc.
no code implementations • EMNLP 2020 • Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai, Smaranda Muresan, Jie Ma, Faisal Ladhak, Yaser Al-Onaizan
Leveraging large amounts of unlabeled data using Transformer-like architectures, like BERT, has gained popularity in recent times owing to their effectiveness in learning general representations that can then be further fine-tuned for downstream tasks to much success.
no code implementations • Findings (ACL) 2021 • Elsbeth Turcan, Shuai Wang, Rishita Anubhai, Kasturi Bhattacharjee, Yaser Al-Onaizan, Smaranda Muresan
Detecting what emotions are expressed in text is a well-studied problem in natural language processing.
no code implementations • 10 Oct 2023 • Kasturi Bhattacharjee, Rashmi Gangadharaiah
Aspect-based sentiment analysis (ABSA) is a widely studied topic, most often trained through supervision from human annotations of opinionated texts.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)
no code implementations • Findings (NAACL) 2022 • Ritam Dutt, Kasturi Bhattacharjee, Rashmi Gangadharaiah, Dan Roth, Carolyn Rose
The above concerns motivate our question answer- ing setting over personalized knowledge graphs (PERKGQA) where each user has restricted access to their KG.
no code implementations • NAACL (ACL) 2022 • Kasturi Bhattacharjee, Rashmi Gangadharaiah, Kathleen McKeown, Dan Roth
Users often leave feedback on a myriad of aspects of a product which, if leveraged successfully, can help yield useful insights that can lead to further improvements down the line.