KDE SenseForce at SemEval-2020 Task 4: Exploiting BERT for Commonsense Validation and Explanation

2020-12-01 · SEMEVAL 2020 · Khanddorj Mendbayar, Masaki Aono

Using a natural language understanding system for commonsense comprehension is getting increasing attention from researchers. Current multi-purpose state-of-the-art models suffer on commonsense validation and explanation tasks. We have adopted one of the state-of-the-art models and proposing a method to boost the performance of the model in commonsense related tasks.

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Tasks

Natural Language Understanding

UI at SemEval-2020 Task 4: Commonsense Validation and Explanation by Exploiting Contradiction

2020-12-01 · SEMEVAL 2020 · Kerenza Doxolodeo, Rahmad Mahendra

This paper describes our submissions into the ComVe challenge, the SemEval 2020 Task 4. This evaluation task consists of three sub-tasks that test commonsense comprehension by identifying sentences that do not make sense…

Sentence

SWAGex at SemEval-2020 Task 4: Commonsense Explanation as Next Event Prediction

2020-12-01 · SEMEVAL 2020 · Wiem Ben Rim, Naoaki Okazaki

We describe the system submitted by the SWAGex team to the SemEval-2020 Commonsense Validation and Explanation Task. We use multiple methods on the pre-trained language model BERT (Devlin et al., 2018) for tasks that req…

Language Modeling Language Modelling

JBNU at SemEval-2020 Task 4: BERT and UniLM for Commonsense Validation and Explanation

2020-12-01 · SEMEVAL 2020 · Seung-Hoon Na, Jong-Hyeon Lee

This paper presents our contributions to the SemEval-2020 Task 4 Commonsense Validation and Explanation (ComVE) and includes the experimental results of the two Subtasks B and C of the SemEval-2020 Task 4. Our systems re…

Sentence

Team Solomon at SemEval-2020 Task 4: Be Reasonable: Exploiting Large-scale Language Models for Commonsense Reasoning

2020-12-01 · SEMEVAL 2020 · Vertika Srivastava, Sudeep Kumar Sahoo, Yeon Hyang Kim, Rohit R.R 외

In this paper, we present our submission for SemEval 2020 Task 4 - Commonsense Validation and Explanation (ComVE). The objective of this task was to develop a system that can differentiate statements that make sense from…

Natural Language Understanding Reading Comprehension

Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation

2020-12-01 · SEMEVAL 2020 · Yuhang Wu, Hao Wu

This paper describes our system in subtask A of SemEval 2020 Shared Task 4. We propose a reinforcement learning model based on MTL(Multi-Task Learning) to enhance the prediction ability of commonsense validation. The exp…

Multi-Task Learning reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)+2