News

• November 30, 2023 My latest book “Natural Language Interface to Databases” co-authored with the last Prof. Drago Radev and Prof. Davood Rafiei is now published by Springer Nature(Twitter Post). Available on Springer Nature, Amazon and Barns & Noble.
• October 23, 2023 I joined Adobe as Director of Machine Learning for the Adobe Experience Platform team (LinkedIn Post)
• October 2023 Multiple paper acceptance at EMNLP’2023! link
• October 2023 We will be hosting Data Science with Human-in-the-Loop Workshop at NAACL’2023!
• August 2023 Updated tutorial on Meaning Representation at IJCAI. link
• June 2023 First paper about my work at Apple “Growing and Serving Large Open-domain Knowledge Graphs” at SIGMOD’2023 link
• June 2023 Gave talks about my newer work from Apple “Building, Growing and Serving Large Knowledge Graphs with Human-in-the-Loop”, at Tsinghua University and HILDA Workshop slides
• Apr. 2023 Upcoming tutorial: “Meaning Representations for Natural Languages: Design, Models and Applications” at IJCAI’2023
• Jan. 2023 Elected to be a member of NAACL Executive Board (2023-2024). Looking forward to working with the NAACL community to bridge academic and industry research, promote interdisciplinary work, and support the growth of our community!
• Oct. 2023 Honored to co-organizing and co-chairing the AI session for the First U.S.-Africa Frontiers of Science, Engineering, and Medicine Symposium (link)
• July 2022 Thrilled to announce the first release of Label Sleuth, a new open-source human-in-the-loop annotation system for text classification (Announcement)
• Apr. 29, 2022 We just released Universal Proposition Bank 2.0 (Announcement).
• Mar. 25, 2022 I will be moderating NAACL’22 Careers in NLP Panel. Most details coming soon.
• Feb. 14, 2022 I joined Apple as the Head of Machine Learning of Knowledge Platform team (LinkedIn Post)
• Feb. 11, 2022 My last day at IBM Research (LinkedIn post)
• Upcoming Tutorials: “Deep Learning on Graphs for Natural Language Processing” at AAAI’2022 (Slides and Recording) and WWW’2022 (Links); “Meaning Representations for Natural Languages: Design, Models and Applications” at EMNLP’2022
• Dec. 2021 Two projects with significant contributions from my team got recognized by prestigious IBM Research accomplishments: O-level: Research contributions to Watson NLP Stack; A-level: Research contributions to Watson OneConversion
• Nov. 18, 2021 Interview on Four Key Tools for Robust Enterprise NLP with Sam Charrington for the TWIML podcast: recording
• Nov. 13, 2021 Keynote talk on how to tame the Wild West of NLP at NLP4MusA
• Nov. 10, 2021 Blog on Pattern Induction for extracting entities such as financial metrics based on syntactic patterns with just two examples.