1 citations · 1 across the 4 of their papers we have counts for
5 papers
Document-Level Supervision for Multi-Aspect Sentiment Analysis Without Fine-grained Labels
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. These fine-grained annotations…
Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction
Elsbeth Turcan, Shuai Wang, Rishita Anubhai +3
Detecting what emotions are expressed in text is a well-studied problem in natural language processing. However, research on finer grained emotion analysis such as what causes an e…
To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging
Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai +4
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 r…
Neural Word Decomposition Models for Abusive Language Detection
Sravan Babu Bodapati, Spandana Gella, Kasturi Bhattacharjee +1
User generated text on social media often suffers from a lot of undesired characteristics including hatespeech, abusive language, insults etc. that are targeted to attack or abuse…
Tag Me Maybe: Perceptions of Public Targeted Sharing on Facebook
Saiph Savage, Andres Monroy-Hernandez, Kasturi Bhattacharjee +1
Social network sites allow users to publicly tag people in their posts. These tagged posts allow users to share to both the general public and a targeted audience, dynamically asse…