1 code implementation • 23 May 2023 • Silei Xu, Shicheng Liu, Theo Culhane, Elizaveta Pertseva, Meng-Hsi Wu, Sina J. Semnani, Monica S. Lam
By pairing our semantic parser with GPT-3, we combine verifiable results with qualified GPT-3 guesses to provide useful answers to 96% of the questions in dev.
1 code implementation • 23 Mar 2022 • Monica S. Lam, Giovanni Campagna, Mehrad Moradshahi, Sina J. Semnani, Silei Xu
Task-oriented conversational agents rely on semantic parsers to translate natural language to formal representations.
1 code implementation • EMNLP 2020 • Mehrad Moradshahi, Giovanni Campagna, Sina J. Semnani, Silei Xu, Monica S. Lam
We propose Semantic Parser Localizer (SPL), a toolkit that leverages Neural Machine Translation (NMT) systems to localize a semantic parser for a new language.
3 code implementations • EMNLP 2020 • Silei Xu, Sina J. Semnani, Giovanni Campagna, Monica S. Lam
To demonstrate the generality of AutoQA, we also apply it to the Overnight dataset.
1 code implementation • Findings (ACL) 2022 • Giovanni Campagna, Sina J. Semnani, Ryan Kearns, Lucas Jun Koba Sato, Silei Xu, Monica S. Lam
Previous attempts to build effective semantic parsers for Wizard-of-Oz (WOZ) conversations suffer from the difficulty in acquiring a high-quality, manually annotated training set.
3 code implementations • 16 Jan 2020 • Silei Xu, Giovanni Campagna, Jian Li, Monica S. Lam
The key concept is to cover the space of possible compound queries on the database with a large number of in-domain questions synthesized with the help of a corpus of generic query templates.
1 code implementation • 18 Apr 2019 • Giovanni Campagna, Silei Xu, Mehrad Moradshahi, Richard Socher, Monica S. Lam
We advocate formalizing the capability of virtual assistants with a Virtual Assistant Programming Language (VAPL) and using a neural semantic parser to translate natural language into VAPL code.