Enforcing Consistency in Weakly Supervised Semantic Parsing

07/13/2021
by   Nitish Gupta, et al.
0

The predominant challenge in weakly supervised semantic parsing is that of spurious programs that evaluate to correct answers for the wrong reasons. Prior work uses elaborate search strategies to mitigate the prevalence of spurious programs; however, they typically consider only one input at a time. In this work we explore the use of consistency between the output programs for related inputs to reduce the impact of spurious programs. We bias the program search (and thus the model's training signal) towards programs that map the same phrase in related inputs to the same sub-parts in their respective programs. Additionally, we study the importance of designing logical formalisms that facilitate this kind of consAistency-based training. We find that a more consistent formalism leads to improved model performance even without consistency-based training. When combined together, these two insights lead to a 10 Visual Reasoning dataset.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/14/2017

Weakly-supervised Semantic Parsing with Abstract Examples

Semantic parsers translate language utterances to programs, but are ofte...
research
09/06/2019

Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering

Many algorithms for Knowledge-Based Question Answering (KBQA) depend on ...
research
09/09/2019

Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs

Semantic parsing aims to map natural language utterances onto machine in...
research
04/13/2015

Tractable Query Answering and Optimization for Extensions of Weakly-Sticky Datalog+-

We consider a semantic class, weakly-chase-sticky (WChS), and a syntacti...
research
01/08/2020

Weakly Supervised Visual Semantic Parsing

Scene Graph Generation (SGG) aims to extract entities, predicates and th...
research
09/18/2021

Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic

Natural language inference (NLI) aims to determine the logical relations...
research
10/14/2021

LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing

Semantic parsing is the task of producing a structured meaning represent...

Please sign up or login with your details

Forgot password? Click here to reset