MARCO

AbstractThis paper explores the task of answer-aware questions generation. Based on the attention-based pointer generator model, we propose to incorporate an auxiliary task of language modeling to help question generation …...

AbstractSelf-supervised pre-training, such as BERT, MASS and BART, has emerged as a powerful technique for natural language understanding and generation. Existing pre-training techniques employ autoencoding and/or autoregressive objectives to train …...

AbstractNatural question generation (QG) aims to generate questions from a passage, and generated questions are answered from the passage. Most models with state-of-the-art performance model the previously generated text at …...

Transferring knowledge from a label-rich do- main (source domain) to a label-scarce domain (target domain) for pervasive cross-domain Text Classification (TC) is a non-trivial task. To overcome this issue, we …...

AbstractEvery model is only as strong as the data that it is trained on. In this paper, we present a new dataset, obtained by merging four publicly available annotated corpora …...