Self-learning paradigms in large-scale conversational AI agents tend to
...
Subword tokenization is a commonly used input pre-processing step in mos...
To date, efforts in the code-switching literature have focused for the m...
Current work in named entity recognition (NER) shows that data augmentat...
Byte-pair encoding (BPE) is a ubiquitous algorithm in the subword
tokeni...
Multimodal named entity recognition (MNER) requires to bridge the gap be...
In this paper, we present the results of the SemEval-2020 Task 9 on Sent...
Recent trends in NLP research have raised an interest in linguistic
code...
Knowledge distillation is typically conducted by training a small model ...
Named entity recognition is one of the core tasks in NLP. Although many
...
Code-switching is still an understudied phenomenon in natural language
p...
This paper considers the problem of characterizing stories by inferring
...
Studies on emotion recognition (ER) show that combining lexical and acou...
In the third shared task of the Computational Approaches to Linguistic
C...
Named Entity Recognition for social media data is challenging because of...
Recognizing named entities in a document is a key task in many NLP
appli...