2020/03/18 by Sheng-Chieh Lin, Jheng-Hong Yang, Lin, Sheng-Chieh +10 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LG
paper · pdf · doi:10.48550/arxiv.2003.08380
arxiv created 2020/03/18 · openalex publication_date 2020/03/18 · arxiv updated 2020/03/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We applied the T5 sequence-to-sequence model to tackle the AI2 WinoGrande Challenge by decomposing each example into two input text strings, each containing a hypothesis, and using the probabilities assigned to the "entailment" token as a score of the hypothesis. Our first (and only) submission to the official leaderboard yielded 0.7673 AUC on March 13, 2020, which is the best known result at this time and beats the previous state of the art by over five points.