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Found 6 papers, 4 papers with code
More Room for Language: Investigating the Effect of Retrieval on Language Models
Retrieval-augmented language models pose a promising alternative to standard language modeling.
Estimating Lexical Complexity from Document-Level Distributions
We also investigate the relationship between our complexity measure and certain features typically associated with complexity in the literature, such as word length, frequency, and the number of syllables.
Text-To-KG Alignment: Comparing Current Methods on Classification Tasks
In contrast to large text corpora, knowledge graphs (KG) provide dense and structured representations of factual information.
NorQuAD: Norwegian Question Answering Dataset
In this paper we present NorQuAD: the first Norwegian question answering dataset for machine reading comprehension.
BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer
After training, we also separate the language model, which we call the reader, from the retriever components, and show that this can be fine-tuned on a range of downstream tasks.
The Effectiveness of Masked Language Modeling and Adapters for Factual Knowledge Injection
This paper studies the problem of injecting factual knowledge into large pre-trained language models.
