Papers
10 papers found
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering
Victor Zhong, Weijia Shi, Wen-tau Yih et al.
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports
Mael Jullien, Marco Valentino, Hannah Frost et al.
FII SMART at SemEval 2023 Task7: Multi-evidence Natural Language Inference for Clinical Trial Data
Mihai Volosincu, Cosmin Lupu, Diana Trandabat et al.
CPIC at SemEval-2023 Task 7: GPT2-Based Model for Multi-evidence Natural Language Inference for Clinical Trial Data
Mingtong Huang, Junxiang Ren, Lang Liu et al.
JUST-KM at SemEval-2023 Task 7: Multi-evidence Natural Language Inference using Role-based Double Roberta-Large
Kefah Alissa, Malak Abdullah
YNU-HPCC at SemEval-2023 Task7: Multi-evidence Natural Language Inference for Clinical Trial Data Based a BioBERT Model
Chao Feng, Jin Wang, Xuejie Zhang
NCUEE-NLP at SemEval-2023 Task 7: Ensemble Biomedical LinkBERT Transformers in Multi-evidence Natural Language Inference for Clinical Trial Data
Chao-Yi Chen, Kao-Yuan Tien, Yuan-Hao Cheng et al.
Saama AI Research at SemEval-2023 Task 7: Exploring the Capabilities of Flan-T5 for Multi-evidence Natural Language Inference in Clinical Trial Data
Kamal Raj Kanakarajan, Malaikannan Sankarasubbu
Clemson NLP at SemEval-2023 Task 7: Applying GatorTron to Multi-Evidence Clinical NLI
Ahamed Alameldin, Ashton Williamson
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data
Maël Jullien, Marco Valentino, Hannah Frost et al.