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Found 3 papers, 2 papers with code
Pretrained Knowledge Base Embeddings for improved Sentential Relation Extraction
In this work we put forward to combine pretrained knowledge base graph embeddings with transformer based language models to improve performance on the sentential Relation Extraction task in natural language processing.
Zero- and Few-Shots Knowledge Graph Triplet Extraction with Large Language Models
In this work, we tested the Triplet Extraction (TE) capabilities of a variety of Large Language Models (LLMs) of different sizes in the Zero- and Few-Shots settings.
Modelling conditional probabilities with Riemann-Theta Boltzmann Machines
The probability density function for the visible sector of a Riemann-Theta Boltzmann machine can be taken conditional on a subset of the visible units.
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