3 citations · 4 across the 3 of their papers we have counts for
5 papers
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop, :, Teven Le Scao +391
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…
Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0
Francesco De Toni, Christopher Akiki, Javier de la Rosa +4
In this work, we explore whether the recently demonstrated zero-shot abilities of the T0 model extend to Named Entity Recognition for out-of-distribution languages and time periods…
On the Feasibility of Automated Detection of Allusive Text Reuse
Enrique Manjavacas, Brian Long, Mike Kestemont
The detection of allusive text reuse is particularly challenging due to the sparse evidence on which allusive references rely---commonly based on none or very few shared words. Arg…
Improving Lemmatization of Non-Standard Languages with Joint Learning
Enrique Manjavacas, Ákos Kádár, Mike Kestemont
Lemmatization of standard languages is concerned with (i) abstracting over morphological differences and (ii) resolving token-lemma ambiguities of inflected words in order to map t…
Assessing the Stylistic Properties of Neurally Generated Text in Authorship Attribution
E. Manjavacas, J. de Gussem, W. Daelemans +1
Recent applications of neural language models have led to an increased interest in the automatic generation of natural language. However impressive, the evaluation of neurally gene…