QiaoNing at SemEval-2020 Task 4: Commonsense Validation and Explanation system based on ensemble of language model

09/06/2020
by   Pai Liu, et al.
0

In this paper, we present language model system submitted to SemEval-2020 Task 4 competition: "Commonsense Validation and Explanation". We participate in two subtasks for subtask A: validation and subtask B: Explanation. We implemented with transfer learning using pretrained language models (BERT, XLNet, RoBERTa, and ALBERT) and fine-tune them on this task. Then we compared their characteristics in this task to help future researchers understand and use these models more properly. The ensembled model better solves this problem, making the model's accuracy reached 95.9 human's by only 3

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 3

05/24/2020

KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension And Generation

This paper presents our strategies in SemEval 2020 Task 4: Commonsense V...
08/17/2020

BUT-FIT at SemEval-2020 Task 4: Multilingual commonsense

This paper describes work of the BUT-FIT's team at SemEval 2020 Task 4 -...
07/06/2020

LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation using Pretraining Language Model

This paper describes our submission to subtask a and b of SemEval-2020 T...
07/01/2020

SemEval-2020 Task 4: Commonsense Validation and Explanation

In this paper, we present SemEval-2020 Task 4, Commonsense Validation an...
11/20/2019

Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation

The TextGraphs-13 Shared Task on Explanation Regeneration asked particip...
06/12/2020

CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning

This paper describes our system submitted to task 4 of SemEval 2020: Com...
08/08/2021

Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims

Widespread and rapid dissemination of false news has made fact-checking ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.