1 citations · 1 across the 5 of their papers we have counts for
7 papers
Please, Don't Forget the Difference and the Confidence Interval when Seeking for the State-of-the-Art Status
Yves Bestgen
This paper argues for the widest possible use of bootstrap confidence intervals for comparing NLP system performances instead of the state-of-the-art status (SOTA) and statistical…
SATLab at SemEval-2022 Task 4: Trying to Detect Patronizing and Condescending Language with only Character and Word N-grams
Yves Bestgen
A logistic regression model only fed with character and word n-grams is proposed for the SemEval-2022 Task 4 on Patronizing and Condescending Language Detection (PCL). It obtained…
A simple language-agnostic yet very strong baseline system for hate speech and offensive content identification
Yves Bestgen
For automatically identifying hate speech and offensive content in tweets, a system based on a classical supervised algorithm only fed with character n-grams, and thus completely l…
Using CollGram to Compare Formulaic Language in Human and Neural Machine Translation
Yves Bestgen
A comparison of formulaic sequences in human and neural machine translation of quality newspaper articles shows that neural machine translations contain less lower-frequency, but s…
LAST at SemEval-2021 Task 1: Improving Multi-Word Complexity Prediction Using Bigram Association Measures
Yves Bestgen
This paper describes the system developed by the Laboratoire d'analyse statistique des textes (LAST) for the Lexical Complexity Prediction shared task at SemEval-2021. The proposed…
Using Fisher's Exact Test to Evaluate Association Measures for N-grams
Yves Bestgen
To determine whether some often-used lexical association measures assign high scores to n-grams that chance could have produced as frequently as observed, we used an extension of F…