Emotional and Linguistic Cues of Depression from Social Media. - Nikhita Vedula; Srinivasan Parthasarathy 001 (DH, 2017)

Multimodal Content Analysis for Effective Advertisements on YouTube. - Nikhita Vedula; Wei Sun 013; Hyunhwan Lee; Harsh Gupta; Mitsunori Ogihara; Joseph Johnson; Gang Ren 004; Srinivasan Parthasarathy 001 (ICDM, 2017)

Predicting Trust Relations Within a Social Network: A Case Study on Emergency Response. - Nikhita Vedula; Srinivasan Parthasarathy 001; Valerie L. Shalin (WebSci, 2017)

Enriching Taxonomies With Functional Domain Knowledge. - Nikhita Vedula; Patrick K. Nicholson; Deepak Ajwani; Sourav Dutta 001; Alessandra Sala; Srinivasan Parthasarathy 001 (SIGIR, 2018)

A Pipeline for Disaster Response and Relief Coordination. - Pranav Maneriker; Nikhita Vedula; Hussein S. Al-Olimat; Jiayong Liang; Omar El-Khoury; Ethan J. Kubatko; Desheng Liu; Krishnaprasad Thirunarayan; Valerie L. Shalin; Amit P. Sheth; Srinivasan Parthasarathy 001 (SIGIR, 2019)

BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge. - Nikhita Vedula; Pranav Maneriker; Srinivasan Parthasarathy 001 (WWW, 2019)

Towards Open Intent Discovery for Conversational Text. - Nikhita Vedula; Nedim Lipka; Pranav Maneriker; Srinivasan Parthasarathy 001 (CoRR, 2019)

Open Intent Extraction from Natural Language Interactions. - Nikhita Vedula; Nedim Lipka; Pranav Maneriker; Srinivasan Parthasarathy 001 (WWW, 2020)

Automatic Discovery of Novel Intents & Domains from Text Utterances. - Nikhita Vedula; Rahul Gupta 001; Aman Alok; Mukund Sridhar (CoRR, 2020)

Open Intent Extraction from Natural Language Interactions (Extended Abstract). - Nikhita Vedula; Nedim Lipka; Pranav Maneriker; Srinivasan Parthasarathy 001 (IJCAI, 2021)

FACE-KEG: Fact Checking Explained using KnowledgE Graphs. - Nikhita Vedula; Srinivasan Parthasarathy 001 (WSDM, 2021)

Modeling knowledge and functional intent for context-aware pragmatic analysis. - Nikhita Vedula (SIGWEB Newsl., 2021)

Wizard of Tasks: A Novel Conversational Dataset for Solving Real-World Tasks in Conversational Settings. - Jason Ingyu Choi; Saar Kuzi; Nikhita Vedula; Jie Zhao; Giuseppe Castellucci; Marcus D. Collins; Shervin Malmasi; Oleg Rokhlenko; Eugene Agichtein (COLING, 2022)

What Matters for Shoppers: Investigating Key Attributes for Online Product Comparison. - Nikhita Vedula; Marcus D. Collins; Eugene Agichtein; Oleg Rokhlenko (ECIR (2), 2022)

Fact Checking Machine Generated Text with Dependency Trees. - Alex Estes; Nikhita Vedula; Marcus D. Collins; Matt Cecil; Oleg Rokhlenko (EMNLP (Industry Track), 2022)

Advin: Automatically Discovering Novel Domains and Intents from User Text Utterances. - Nikhita Vedula; Rahul Gupta 001; Aman Alok; Mukund Sridhar; Shankar Ananthakrishnan (ICASSP, 2022)

Faithful Low-Resource Data-to-Text Generation through Cycle Training. - Zhuoer Wang; Marcus D. Collins; Nikhita Vedula; Simone Filice; Shervin Malmasi; Oleg Rokhlenko (ACL (1), 2023)

Disentangling User Conversations with Voice Assistants for Online Shopping. - Nikhita Vedula; Marcus D. Collins; Oleg Rokhlenko (SIGIR, 2023)

Generating Explainable Product Comparisons for Online Shopping. - Nikhita Vedula; Marcus D. Collins; Eugene Agichtein; Oleg Rokhlenko (WSDM, 2023)

Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers. - Lütfi Kerem Senel; Besnik Fetahu; Davis Yoshida; Zhiyu Chen 001; Giuseppe Castellucci; Nikhita Vedula; Jason Ingyu Choi; Shervin Malmasi (ACL (1), 2024)

Instant Answering in E-Commerce Buyer-Seller Messaging Using Message-to-Question Reformulation. - Besnik Fetahu; Tejas Mehta; Qun Song 008; Nikhita Vedula; Oleg Rokhlenko; Shervin Malmasi (ECIR (4), 2024)

KiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs). - Manas Gaur; Efthymia Tsamoura; Edward Raff; Nikhita Vedula; Srinivasan Parthasarathy 001 (KDD, 2024)

Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces. - Nikhita Vedula; Giuseppe Castellucci; Eugene Agichtein; Oleg Rokhlenko; Shervin Malmasi (NAACL (Industry Track), 2024)

Question Suggestion for Conversational Shopping Assistants Using Product Metadata. - Nikhita Vedula; Oleg Rokhlenko; Shervin Malmasi (SIGIR, 2024)

Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching. - Xiangci Li; Zhiyu Chen 001; Jason Ingyu Choi; Nikhita Vedula; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (ACL (1), 2025)

Quantile Regression with Large Language Models for Price Prediction. - Nikhita Vedula; Dushyanta Dhyani; Laleh Jalali; Boris N. Oreshkin; Mohsen Bayati; Shervin Malmasi (ACL (Findings), 2025)

Generative Product Recommendations for Implicit Superlative Queries. - Kaustubh D. Dhole; Nikhita Vedula; Saar Kuzi; Giuseppe Castellucci; Eugene Agichtein; Shervin Malmasi (NAACL (Student Research Workshop), 2025)