Grammatical Error Detection and Correction (GEC) tools have proven usefu...
Understanding procedural natural language (e.g., step-by-step instructio...
In-context learning (ICL) for large language models has proven to be a
p...
Many Natural Language Processing (NLP) systems use annotated corpora for...
This paper describes the KUIS-AI NLP team's submission for the 1^st
Shar...
Recent advances in NLP and information retrieval have given rise to a di...
The recent explosion of question answering (QA) datasets and models has
...
Pattern recognition based on a high-dimensional predictor is considered....
Data-hungry deep neural networks have established themselves as the stan...
Deep neural models have repeatedly proved excellent at memorizing surfac...
Most problems in natural language processing can be approximated as inve...
We present LINSPECTOR WEB, an open source multilingual inspector to anal...
Visual modifications to text are often used to obfuscate offensive comme...
Neural NLP systems achieve high scores in the presence of sizable traini...
Despite an ever growing number of word representation models introduced ...
Character-level models have become a popular approach specially for thei...