BERT Models
method
ID: bertmodels
Related Papers
Nova-Wang at SemEval-2020 Task 12: OffensEmblert: An Ensemble ofOffensive Language Classifiers
AbstractThis paper presents our contribution to the Offensive Language Classification Task (English SubTask A) of Semeval 2020. We propose different Bert models trained on several offensive language classification and profanity …...
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets
AbstractIn this paper, we present the results of the SemEval-2020 Task 9 on Sentiment Analysis of Code-Mixed Tweets (SentiMix 2020). We also release and describe our Hinglish (Hindi-English)and Spanglish (Spanish-English) …...
Bridging the Gap between Subword and Character Segmentation in Pretrained Language Models
AbstractPretrained language models require the use of consistent segmentation (e.g., subword- or character-level segmentation) in pretraining and finetuning. In NLP, many tasks are modeled by subword-level segmentation better than by …...