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Found 5 papers, 2 papers with code
Navigating the Landscape of Hint Generation Research: From the Past to the Future
Digital education has gained popularity in the last decade, especially after the COVID-19 pandemic.
TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions
To evaluate the TriviaHG dataset and the proposed evaluation method, we enlisted 10 individuals to annotate 2, 791 hints and tasked 6 humans with answering questions using the provided hints.
ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages
Therefore, to enable realistic testing of QA models, our dataset can be used in three different ways: answering questions from raw and noisy content, answering questions from cleaner, corrected version of the content, as well as answering questions from scanned images of newspaper pages.
Machine Reading Comprehension
Optical Character Recognition (OCR)
+1
BAS: An Answer Selection Method Using BERT Language Model
The empirical results of applying the model on the TrecQA Raw, TrecQA Clean, and WikiQA datasets demonstrate that using a robust language model such as BERT can enhance the performance.
Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering
In this research, a model is proposed to select the most relevant answers to the factoid question from the candidate answers.
