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Found 6 papers, 0 papers with code
Transfer Learning and Masked Generation for Answer Verbalization
In general, QA systems query a Knowledge Base (KB) to detect and extract the raw answers as final prediction.
Prompting Large Language Models with Knowledge Graphs for Question Answering Involving Long-tail Facts
Using this pipeline, we introduce the LTGen benchmark.
Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters
Text generation from Abstract Meaning Representation (AMR) has substantially benefited from the popularized Pretrained Language Models (PLMs).
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code
This problem is especially pertinent in natural language generation which requires ever-improving suites of datasets, metrics, and human evaluation to make definitive claims.
Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures
We further propose Hercules, a time-aware extension of AttH model, which defines the curvature of a Riemannian manifold as the product of both relation and time.
Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers
The task of verbalization of RDF triples has known a growth in popularity due to the rising ubiquity of Knowledge Bases (KBs).
