[PDF] Top 20 Stochastic Answer Networks for Machine Reading Comprehension

... The recent big progress on MRC is largely due to the availability of the large-scale datasets (Ra- jpurkar et al., 2016; Nguyen et al., 2016; Richard- son et al., 2013; Hill et al., 2016), since it is possi- ble to train ... See full document

... be improved by incorporating external resources. In Figure 3, we present a sample paragraph and its corresponding answerable questions and gen- erated unanswerable questions. In the first ex- ample, two models generate ... See full document

... Machine Reading Comprehension (MRC), as the name suggests, requires a machine to read a pas- sage and answer its relevant ...the answer to each question is supposed to stem from ... See full document

... multiple answer choices, the reading com- prehension (RC) task evaluates the correctness of each answer ...and answer choice independently and pick the highest scoring ...the answer ... See full document

... to answer the question, and (2) if the model is able to pick up more subtle cues or perform answer elimina- tion to still be able to infer the correct answer with some ...to answer a question ... See full document

... This domain adaptation issue has been a main challenge in MRC research, and the only exist- ing work that investigated this was the two-stage synthesis network (SynNet) proposed in Golub et al. (2017). Specifically, ... See full document

... Machine reading comprehension (MRC) has be- come an important research area in ...to answer ques- tions for a given document including Attentive Reader (Kadlec et ... See full document

... correct answer op- tion appears in the given document as this question mainly assesses the vocabulary acquisition of hu- man ...tive machine reading comprehension tasks such as SQuAD ... See full document

... Machine Reading Comprehension (MRC) has become enormously popular in recent research, which aims to teach the machine to comprehend human languages and answer the questions based on the ... See full document

... construct these datasets with web-crawled CNN and Daily Mail news data. One of the charac- teristics of these datasets is that the news arti- cle is often associated with a summary. So they first regard the main body of ... See full document

... Paragraph, Question ⇤ from test set, we use GPT2-FT to generate a plausible answer. We au- tomatically evaluate the generated answers against human authored correct answers with varying met- rics in Table 6. We ... See full document

... whose answer was “none of the above” in QA4MRE. We considered these “no answer” questions difficult, in that systems have to decide not to select any of the candidate answers, and our methodology failed to ... 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

... One focus of the task is the ability to extract different types of knowledge and to combine them as a way to answer the questions. In order to allow systems to acquire the same background knowledge, ad-hoc ... See full document

... Back and Forth Reading We notice that the in- put order difference between two ensemble mod- els is likely to yield performance gains. Besides ensembling two models that use input sequence [dq $ o] and [o $ qd] ... See full document

... translated answer to original passage ...neural machine translation atten- tion to project source answer to original target pas- sage span is ideal as used in Asai et ... See full document

... generated answer and 182,669 completely human rewritten generated ...the answer as a human would (ii) generate a well-formed answer (if possible) based on the context passages that can be understood ... See full document

... Two simple yet effective technologies are em- ployed to improve the final performance on these two datasets respectively. For MS-MARCO, ap- proximately 8% questions have the answers as Yes or No, which usually cannot be ... See full document

... The training strategy employed in our paper is reinforcement learning, which is inspired by recent work exploiting it into question answer- ing problem. The above mentioned coarse-to-fine framework (Choi et al., ... See full document

... with reading com- prehension questions created for the purpose of assessing the proficiency level of second language ...The reading comprehension exercises (ques- tions) expect open, descriptive ... See full document