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Fortunately, Discourse Markers Can Enhance Language Models for Sentiment
  Analysis

Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis

6 January 2022
L. Ein-Dor
Ilya Shnayderman
Artem Spector
Lena Dankin
R. Aharonov
Noam Slonim
ArXivPDFHTML

Papers citing "Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis"

2 / 2 papers shown
Title
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training
Patrick Huber
Armen Aghajanyan
Barlas Oğuz
Dmytro Okhonko
Wen-tau Yih
Sonal Gupta
Xilun Chen
24
15
0
14 Oct 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,950
0
20 Apr 2018
1