shaun1280/msbd5018-semeval2021-task4

MSBD5018-SemEval2021-Task4

Task

SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning

Methodology

• Baseline
  • GA Reader
• Text to Text Generation
  • T5
• Masked Language Modeling
  • BERT
  • ALBERT
• Replaced Token Detection
  • ELECTRA

The dataset and baseline can be found here SemEval2021-Reading-Comprehension-of-Abstract-Meaning

Result

Model	Task 1	Task 2	Task3 (Train 1, Test 2)	Task3 (Train 2, Test 1)
GA Reader	0.294	0.170	0.202	0.202
T5 Fine Tune Attempt 1	0.247	0.149	0.197	0.221
T5 Fine Tune Attempt 2	0.597	0.543	0.536	0.498
BERT Base Uncased	0.764	0.828	-	-
BERT Base Uncased Fine Tuned	0.773	0.801	0.811	0.745
BERT Large Uncased	0.788	0.859	-	-
ALBERT XLarge V2	0.804	0.828	-	-
ALBERT XLarge V2 Fine Tuned	0.738	0.778	0.743	0.764
ALBERT XXLarge V2	0.875	0.913	-	-
ELECTRA Base	0.822	0.882	-	-
ELECTRA Base with Wordnet	0.775	0.857	-	-
ELECTRA Large	0.898	0.923	-	-
ELECTRA Large with Wordnet	0.850	0.895	-	-
ELECTRA Large Fine Tuned	0.896	0.928	0.926	0.896