https://github.com/chapzq77/semeval2020-task4-commonsense-validation-and-explanation
This project is special for SemEval2020 task4 Commonsense Validation and Explanantion
https://github.com/chapzq77/semeval2020-task4-commonsense-validation-and-explanation
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
○DOI references
-
✓Academic publication links
Links to: arxiv.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (9.8%) to scientific vocabulary
Last synced: 10 months ago
·
JSON representation
Repository
This project is special for SemEval2020 task4 Commonsense Validation and Explanantion
Basic Info
- Host: GitHub
- Owner: chapzq77
- Default Branch: master
- Size: 1.99 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Fork of akarumeidesu/SemEval2020-Task4-Commonsense-Validation-and-Explanation
Created over 6 years ago
· Last pushed over 6 years ago
https://github.com/chapzq77/SemEval2020-Task4-Commonsense-Validation-and-Explanation/blob/master/
# Commonsense Validation and Explanation This is the official repo for SemEval 2020 Task 4: Commonsense Validation and Explanation. This task is inspired and extension of the ACL 2019 paper: Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation. [link](https://arxiv.org/abs/1906.00363) Welcome to pariticipate on our Codalab competition [here](https://competitions.codalab.org/competitions/21080)! All participants are welcome to check and raise data errors at https://github.com/wangcunxiang/SemEval2020-Task4-Commonsense-Validation-and-Explanation/issues/9 ## Introduction The task is to directly test whether a system can differentiate natural language statements that make sense from those that do not make sense. We designed three subtasks. The first task is to choose from two natural language statements with similar wordings which one makes sense and which one does not make sense; The second task is to find the key reason from three options why a given statement does not make sense; The third task asks machine to generate the reasons and we use BLEU to evaluate them. The detailed description of the task can be found in [Task Proposal](./TaskProposal.pdf). ### Example #### Task A: Validation Which statement of the two is against common sense? - Statement 1: He put a turkey into the fridge. *(correct)* - Statement 2: He put an elephant into the fridge. #### Task B: Explanation (Multi-Choice) Select the most corresponding reason why this statement is against common sense. - Statement: He put an elephant into the fridge. - Reasons: - **A**: An elephant is much bigger than a fridge. *(correct)* - **B**: Elephants are usually white while fridges are usually white. - **C**: An elephant cannot eat a fridge. #### Task C: Explanation (Generation) Generate the reason why this statement is against common sense and we will use BELU to evaluate it. - Statement: He put an elephant into the fridge. - Referential Reasons: 1. An elephant is much bigger than a fridge. 2. A fridge is much smaller than an elephant. 3. Most of the fridges arent large enough to contain an elephant. ## Evaluation Subtask A and B will be evaluated using **accuracy**. Subtask C will be evaluated using BLEU score. ## Deadlines - 19 February 2020: Evaluation start* - 11 March 2020: Evaluation end* - 18 March 2020: Results posted - 17 April 2020: System description paper submissions due by 23:59 GMT -12:00 - 24 April 2020: Task description paper submissions due by 23:59 GMT -12:00 - 10 June 2020: Author notifications for papers - 1 July 2020: Camera ready submissions due ## License The dataset is distributed under the [CC BY-SA 4.0](http://creativecommons.org/licenses/by-sa/4.0/legalcode) license.
Owner
- Name: 周奇
- Login: chapzq77
- Kind: user
- Repositories: 3
- Profile: https://github.com/chapzq77