no code implementations • COLING 2022 • Jason Ingyu Choi, Saar Kuzi, Nikhita Vedula, Jie Zhao, Giuseppe Castellucci, Marcus Collins, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein
Conversational Task Assistants (CTAs) are conversational agents whose goal is to help humans perform real-world tasks.
no code implementations • 2 May 2024 • Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi
Digital assistants have become ubiquitous in e-commerce applications, following the recent advancements in Information Retrieval (IR), Natural Language Processing (NLP) and Generative Artificial Intelligence (AI).
1 code implementation • 9 Apr 2024 • Nikhita Vedula, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko, Shervin Malmasi
Conversational Task Assistants (CTAs) guide users in performing a multitude of activities, such as making recipes.
no code implementations • 18 Jan 2024 • Besnik Fetahu, Tejas Mehta, Qun Song, Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi
E-commerce customers frequently seek detailed product information for purchase decisions, commonly contacting sellers directly with extended queries.
1 code implementation • 24 May 2023 • Zhuoer Wang, Marcus Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko
Cycle training uses two models which are inverses of each other: one that generates text from structured data, and one which generates the structured data from natural language text.
no code implementations • 22 May 2020 • Nikhita Vedula, Rahul Gupta, Aman Alok, Mukund Sridhar
We propose a novel framework, ADVIN, to automatically discover novel domains and intents from large volumes of unlabeled data.
no code implementations • 17 Apr 2019 • Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy
Existing research for intent discovery model it as a classification task with a predefined set of known categories.
no code implementations • 12 Sep 2017 • Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy
The objective of this work is then to measure the effectiveness of an advertisement, and to recommend a useful set of features to advertisement designers to make it more successful and approachable to users.