[PDF] Top 20 Learning to Ask Unanswerable Questions for Machine Reading Comprehension

... answerable questions and gen- erated unanswerable ...generate unanswerable ques- tions by swapping the location entity “Victoria” with “texas” and inserting negation word “never”, ...generated ... See full document

... multi-task learning framework to learn a joint Machine Reading Compre- hension (MRC) model that can be applied to a wide range of MRC tasks in different do- ...in machine translation, we ... See full document

... for reading comprehen- sion with multiple-choice questions was proposed, which consists of 28,000+ passages and near 100,000 questions generated by human experts for the English examinations of ... See full document

... the machine learning approach could dynamically adjust the span output by learning the semantic relationship between translated answer and target ...chine reading comprehension in other ... See full document

... ited computational resources. We use the original design of finetuning BERT for the MRC task in Devlin et al. (2019), instead of combining BERT with SAN. Results are provided in Table 4. We observe that using ELMo and ... See full document

... Due to the lack of ground truth evidence sen- tence labels in most cases, we apply distant supervision to generate imperfect labels and then use them to train an evidence sentence extractor. To denoise the noisy labels, ... See full document

... We use the Reinforced Mnemonic Reader (RMR) (Hu et al. 2018a), one of the state-of-the-art reading comprehension models on the SQuAD 1.1 dataset, as our base reader. The reader is configurated with its ... See full document

... 5 questions on the content of that paragraph. The questions had to be entered in a text field, and the answers had to be highlighted in the ...bad questions and answers on that paragraph along with ... See full document

... Reading Comprehension is a challenging task for machines, requiring both understanding of nat- ural language and knowledge of the world (Ra- jpurkar et ...the questions are generated in a synthetic ... See full document

... To the best of our knowledge, this is the first work that reports t h a t the use of a machine learning approach achieves competitive results on answering questions for reading compre- h[r] ... See full document

... “yes/no questions”, “simple nega- tions” and “indefinite knowledge” (the “Indefinite Knowledge” sub-task tests the ability to model statements that describe possibilities rather than ...on questions ... See full document

... the questions along with the paragraphs of an article, and asked to select the shortest span in the para- graph that answered the ...5 questions for 2 minutes, and paid at the same rate of $9 per hour for ... See full document

... 2008), machine comprehension (Du et ...designing questions for read- ing comprehension (Du et ...generating questions to a given image (video) (Mostafazadeh et ... See full document

... There are several systems which assess the content of short answers. Mitchell et al. (2002) use hand- crafted patterns which indicate correct answers to a question. Similarly, Nielsen et al. (2009) use manu- ally ... See full document

... Our work proposes an approach for joint model- ing QA and QG. While QA has recieved a lot of attention from the research community with large scale community evaluations such as NTCIR, TREC, CLEF spurring progress, the ... See full document

... human’s reading comprehension, which has not been well considered in existing machine reading comprehension (MRC) ...chine reading comprehension models by con- sidering ... See full document

... of reading comprehension tests for MT evaluation has been addressed in previous ...answering questions on the machine translated documents and that their accuracy is also inferior compared to ... See full document

... We introduce Stochastic Answer Networks (SAN), a simple yet robust model for machine reading comprehension. The use of stochastic dropout in training and averaging in test at the answer module leads ... See full document

... We evaluated three existing model architectures: the BiDAF-No-Answer (BNA) model proposed by Levy et al. (2017), and two versions of the Docu- mentQA No-Answer (DocQA) model from Clark and Gardner (2017), namely versions ... See full document

... prediction. It is not helpful in identifying which changes out of a set of candidates would result in the most accurate classifier for future emails. The underlying issue to support the identification of features to ... See full document