Relation Extraction (RE) remains a challenging task, especially when
con...
Most research in Relation Extraction (RE) involves the English language,...
The problem of gender bias is highly prevalent and well known. In this p...
The prevailing practice in the academia is to evaluate the model perform...
In this paper, we approach the problem of semantic search by framing the...
In recent years, several methods have been proposed for explaining indiv...
This document describes the annotation guidelines used to construct the ...
In this paper, we present a quantitative evaluation of differences betwe...
Essays as a form of assessment test student knowledge on a deeper level ...
In this paper, we introduce the first fully manually annotated paraphras...
Language models based on deep neural networks have facilitated great adv...
Deep neural language models such as BERT have enabled substantial recent...
Universal Dependencies is an open community effort to create
cross-lingu...
Deep learning-based language models pretrained on large unannotated text...
In this paper, we present the first publicly available part-of-speech an...
The multilingual BERT model is trained on 104 languages and meant to ser...
News articles such as sports game reports are often thought to closely f...
A common approach for improving OCR quality is a post-processing step ba...
In this paper we present a novel lemmatization method based on a
sequenc...