8 citations · 21 across the 12 of their papers we have counts for
14 papers
Improving User Behavior Prediction: Leveraging Annotator Metadata in Supervised Machine Learning Models
Lynnette Hui Xian Ng, Kokil Jaidka, Kaiyuan Tay +2
Supervised machine-learning models often underperform in predicting user behaviors from conversational text, hindered by poor crowdsourced label quality and low NLP task accuracy.…
Is your LLM trapped in a Mental Set? Investigative study on how mental sets affect the reasoning capabilities of LLMs
Saiful Haq, Niyati Chhaya, Piyush Pandey +1
In this paper, we present an investigative study on how Mental Sets influence the reasoning capabilities of LLMs. LLMs have excelled in diverse natural language processing (NLP) ta…
"Let's not Quote out of Context": Unified Vision-Language Pretraining for Context Assisted Image Captioning
Abisek Rajakumar Kalarani, Pushpak Bhattacharyya, Niyati Chhaya +1
Well-formed context aware image captions and tags in enterprise content such as marketing material are critical to ensure their brand presence and content recall. Manual creation a…
EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction
Bhanu Prakash Reddy Guda, Aparna Garimella, Niyati Chhaya
Affect preferences vary with user demographics, and tapping into demographic information provides important cues about the users' language preferences. In this paper, we utilize th…
Recognizing Emotion Cause in Conversations
Soujanya Poria, Navonil Majumder, Devamanyu Hazarika +9
We address the problem of recognizing emotion cause in conversations, define two novel sub-tasks of this problem, and provide a corresponding dialogue-level dataset, along with str…
An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation
Soumyadeep Roy, Shamik Sural, Niyati Chhaya +2
A consumer-dependent (business-to-consumer) organization tends to present itself as possessing a set of human qualities, which is termed as the brand personality of the company. Th…
CaM-Gen:Causally-aware Metric-guided Text Generation
Navita Goyal, Roodram Paneri, Ayush Agarwal +3
Content is created for a well-defined purpose, often described by a metric or signal represented in the form of structured information. The relationship between the goal (metrics)…
"To Target or Not to Target": Identification and Analysis of Abusive Text Using Ensemble of Classifiers
Gaurav Verma, Niyati Chhaya, Vishwa Vinay
With rising concern around abusive and hateful behavior on social media platforms, we present an ensemble learning method to identify and analyze the linguistic properties of such…
Multi-label Categorization of Accounts of Sexism using a Neural Framework
Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya +4
Sexism, an injustice that subjects women and girls to enormous suffering, manifests in blatant as well as subtle ways. In the wake of growing documentation of experiences of sexism…
Affect Enriched Word Embeddings for News Information Retrieval
Tommaso Teofili, Niyati Chhaya
Distributed representations of words have shown to be useful to improve the effectiveness of IR systems in many sub-tasks like query expansion, retrieval and ranking. Algorithms li…
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
Deepanway Ghosal, Navonil Majumder, Soujanya Poria +2
Emotion recognition in conversation (ERC) has received much attention, lately, from researchers due to its potential widespread applications in diverse areas, such as health-care,…
Variational Fusion for Multimodal Sentiment Analysis
Navonil Majumder, Soujanya Poria, Gangeshwar Krishnamurthy +3
Multimodal fusion is considered a key step in multimodal tasks such as sentiment analysis, emotion detection, question answering, and others. Most of the recent work on multimodal…
Sentiment and Sarcasm Classification with Multitask Learning
Navonil Majumder, Soujanya Poria, Haiyun Peng +3
Sentiment classification and sarcasm detection are both important natural language processing (NLP) tasks. Sentiment is always coupled with sarcasm where intensive emotion is expre…
Aff2Vec: Affect--Enriched Distributional Word Representations
Sopan Khosla, Niyati Chhaya, Kushal Chawla
Human communication includes information, opinions, and reactions. Reactions are often captured by the affective-messages in written as well as verbal communications. While there h…