Exploring Neural Models for Parsing Natural Language into First-Order Logic

16 February 2020

Papers citing "Exploring Neural Models for Parsing Natural Language into First-Order Logic"

6 / 6 papers shown

Title
Continual Reasoning: Non-Monotonic Reasoning in Neurosymbolic AI using Continual Learning Sofoklis Kyriakopoulos Artur Garcez NAI LRM 21 0 0 03 May 2023
A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective Erfan Al-Hossami Samira Shaikh 26 6 0 10 Feb 2022
Neural-Symbolic Integration for Interactive Learning and Conceptual Grounding Benedikt Wagner Artur Garcez NAI 16 5 0 22 Dec 2021
Neural Unification for Logic Reasoning over Natural Language Gabriele Picco Hoang Thanh Lam M. Sbodio Vanessa Lopez Garcia NAI LRM 23 13 0 17 Sep 2021
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text Siyuan Wang Wanjun Zhong Duyu Tang Zhongyu Wei Zhihao Fan Daxin Jiang Ming Zhou Nan Duan NAI 31 70 0 08 May 2021
Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback Carolin (Haas) Lawrence Stefan Riezler OffRL 173 56 0 03 May 2018