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Found 9 papers, 7 papers with code
A General Benchmarking Framework for Text Generation
The RDF-to-text task has recently gained substantial attention due to the continuous growth of RDF knowledge graphs in number and size.
LOLA -- An Open-Source Massively Multilingual Large Language Model
This paper presents LOLA, a massively multilingual large language model trained on more than 160 languages using a sparse Mixture-of-Experts Transformer architecture.
Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks
We close this gap by evaluating the impact of non-adversarial attacks on the performance of 5 state-of-the-art KGE algorithms on 5 datasets with respect to attacks on 3 attack surfaces-graph, parameter, and label perturbation.
ORCA: a Benchmark for Data Web Crawlers
Although Data Web crawlers exist, and general Web crawlers could be adapted to focus on the Data Web, there is currently no benchmark to fairly evaluate their performance.
Databases Performance
Entity Linking in 40 Languages using MAG
A plethora of Entity Linking (EL) approaches has recently been developed.
BENGAL: An Automatic Benchmark Generator for Entity Recognition and Linking
The main advantage of our benchmarks is that they can be readily generated at any time.
Using Multi-Label Classification for Improved Question Answering
In particular, we develop a multi-label classification-based metasystem for question answering over 6 existing systems using an innovative set of 14 question features.
MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach
Currently, the best performing approaches rely on trained mono-lingual models.
Evaluating topic coherence measures
Topic models extract representative word sets - called topics - from word counts in documents without requiring any semantic annotations.
