Nikhita Vedula

According to our database, Nikhita Vedula authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Question Suggestion for Conversational Shopping Assistants Using Product Metadata.

Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces.

Nikhita Vedula, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

KiL 2024: 4th International Workshop on Knowledge-infused Learning <i>(Towards Consistent, Reliable, Explainable, and Safe LLMs)</i>.

Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Instant Answering in E-Commerce Buyer-Seller Messaging Using Message-to-Question Reformulation.

Besnik Fetahu, Tejas Mehta, Qun Song, Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the Advances in Information Retrieval, 2024

Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers.

Lütfi Kerem Senel, Besnik Fetahu, Davis Yoshida, Zhiyu Chen, Giuseppe Castellucci, Nikhita Vedula, Jason Ingyu Choi, Shervin Malmasi

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Generating Explainable Product Comparisons for Online Shopping.

Nikhita Vedula, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Disentangling User Conversations with Voice Assistants for Online Shopping.

Nikhita Vedula, Marcus D. Collins, Oleg Rokhlenko

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Faithful Low-Resource Data-to-Text Generation through Cycle Training.

Zhuoer Wang, Marcus D. Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Advin: Automatically Discovering Novel Domains and Intents from User Text Utterances.

Nikhita Vedula, Rahul Gupta, Aman Alok, Mukund Sridhar, Shankar Ananthakrishnan

Proceedings of the IEEE International Conference on Acoustics, 2022

Fact Checking Machine Generated Text with Dependency Trees.

Alex Estes, Nikhita Vedula, Marcus D. Collins, Matt Cecil, Oleg Rokhlenko

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

What Matters for Shoppers: Investigating Key Attributes for Online Product Comparison.

Nikhita Vedula, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko

Proceedings of the Advances in Information Retrieval, 2022

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

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Modeling knowledge and functional intent for context-aware pragmatic analysis.

Nikhita Vedula

SIGWEB Newsl., 2021

FACE-KEG: Fact Checking Explained using KnowledgE Graphs.

Nikhita Vedula, Srinivasan Parthasarathy

Proceedings of the WSDM '21, 2021

Open Intent Extraction from Natural Language Interactions (Extended Abstract).

Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Automatic Discovery of Novel Intents & Domains from Text Utterances.

Nikhita Vedula, Rahul Gupta, Aman Alok, Mukund Sridhar

CoRR, 2020

Open Intent Extraction from Natural Language Interactions.

Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

Towards Open Intent Discovery for Conversational Text.

Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy

CoRR, 2019

BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge.

Nikhita Vedula, Pranav Maneriker, Srinivasan Parthasarathy

Proceedings of the World Wide Web Conference, 2019

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

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018

Enriching Taxonomies With Functional Domain Knowledge.

Nikhita Vedula, Patrick K. Nicholson, Deepak Ajwani, Sourav Dutta, Alessandra Sala, Srinivasan Parthasarathy

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2017

Predicting Trust Relations Within a Social Network: A Case Study on Emergency Response.

Nikhita Vedula, Srinivasan Parthasarathy, Valerie L. Shalin

Proceedings of the 2017 ACM on Web Science Conference, 2017

Multimodal Content Analysis for Effective Advertisements on YouTube.

Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Emotional and Linguistic Cues of Depression from Social Media.

Nikhita Vedula, Srinivasan Parthasarathy

Proceedings of the 2017 International Conference on Digital Health, 2017