This report presents the results of the shared tasks organized as part o...
The increasing number of benchmarks for Natural Language Processing (NLP...
Relation Extraction (RE) remains a challenging task, especially when
con...
Most research in Relation Extraction (RE) involves the English language,...
The Wall Street Journal section of the Penn Treebank has been the de-fac...
Linguistic information is encoded at varying timescales (subwords, phras...
Aggregated data obtained from job postings provide powerful insights int...
Making an informed choice of pre-trained language model (LM) is critical...
Probing has become an important tool for analyzing representations in Na...
This work provides the first in-depth analysis of genre in Universal
Dep...
With an increase of dataset availability, the potential for learning fro...
Recent work has shown that monolingual masked language models learn to
r...
This paper introduces DaN+, a new multi-domain corpus and annotation
gui...
The lack of publicly available evaluation data for low-resource language...
Recent complementary strands of research have shown that leveraging
info...
This paper explores the difficulties of annotating transcribed spoken
Du...
Social media provides an unfiltered stream of user-generated input, lead...
Transfer learning, particularly approaches that combine multi-task learn...
Analogies such as man is to king as woman is to X are often used to
illu...
Gender prediction has typically focused on lexical and social network
fe...
We propose MoNoise: a normalization model focused on generalizability an...
Does normalization help Part-of-Speech (POS) tagging accuracy on noisy,
...