The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing
In this work, we analyse the role of output vocabulary for text-to-text (T2T) models on the task
of SPARQL semantic parsing. We perform experiments within the the context of knowledge …
of SPARQL semantic parsing. We perform experiments within the the context of knowledge …
Knowledge Graph Question Answering with Generative Language Models
D Banerjee - 2024 - search.proquest.com
Abstract A Knowledge Graph (KG) is a data structure that stores information about the world
in the form of nodes and edges. The nodes represent people, places, things etc., while the …
in the form of nodes and edges. The nodes represent people, places, things etc., while the …
An empirical analysis of leveraging knowledge for low-resource task-oriented semantic parsing
Task-oriented semantic parsing has drawn a lot of interest from the NLP community, and
especially the voice assistant industry as it enables representing the meaning of user …
especially the voice assistant industry as it enables representing the meaning of user …