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...
This document describes the annotation guidelines used to construct the ...
In this paper, we present a quantitative evaluation of differences betwe...
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...
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...
In this paper we present a novel lemmatization method based on a
sequenc...