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Found 4 papers, 3 papers with code
ExtEnD: Extractive Entity Disambiguation
Local models for Entity Disambiguation (ED) have today become extremely powerful, in most part thanks to the advent of large pre-trained language models.
ConSeC: Word Sense Disambiguation as Continuous Sense Comprehension
Supervised systems have nowadays become the standard recipe for Word Sense Disambiguation (WSD), with Transformer-based language models as their primary ingredient.
Ranked #1 on
Word Sense Disambiguation
on Supervised:
Entity Disambiguation with Entity Definitions
Local models have recently attained astounding performances in Entity Disambiguation (ED), with generative and extractive formulations being the most promising research directions.
SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation
Graph-based semantic parsing aims to represent textual meaning through directed graphs.
