[PDF] Top 20 NumNet: Machine Reading Comprehension with Numerical Reasoning

... Machine reading comprehension (MRC) has be- come an important research area in NLP. In recent years, researchers have published a large number of annotated MRC datasets such as CNN/Daily Mail ... See full document

... CBT The Children’s Book Test [7] is a part of bAbI project of Facebook AI Research which aims at re- searching automatic text understanding and reasoning. Children books are chosen because they ensure a clear ... See full document

... Machine reading comprehension (MRC) is a chal- lenging task: the goal is to have machines read a text passage and then answer any question about the ...of reasoning: Q: What collection does ... See full document

... To improve the interpretability of question answer- ing, previous work utilize interpretable internal representations (Palangi et al., 2017) or reasoning networks that employ a hop-by-hop reasoning pro- ... See full document

... “multi-step” reasoning over multiple doc- uments (Welbl et ...adding numerical reasoning as an “additional complexity”, and this is true; how- ever, it is only simple reasoning that is ... See full document

... can reading compre- hension models deal with the questions that need comprehensive reasoning over various clues in the context, we additionally annotated a small chal- lenge set for this purpose while ... See full document

... Machine comprehension of texts longer than a single sentence often requires coreference ...current reading comprehension benchmarks do not contain complex coreferential phenomena and hence ... See full document

... Existing approaches, when applied to this more realistic scenario, have three problems. First, to produce various answer types, Dua et al. (2019) extend previous one-type answer predic- tion (Seo et al., 2017) to ... See full document

... Machine reading comprehension has been increas- ingly studied in the NLP area, which aims to read a given passage and then answer questions cor- ...Traditional machine reading ... See full document

... and machine performance skill-wise, as shown in Figure ...spatio-temporal reasoning, elaboration (inferences using general knowledge) and bridging—which is also the most commonly required skill—are the next ... See full document

... generate practice questions and their associ- ated span-based candidate answers from the existing reference documents (Section 3.4) By fine-tuning a pre-trained transformer (Rad- ford et al., 2018) according to our ... See full document

... The vast majority (93.8%) of our dataset re- quires contextual commonsense reasoning, in con- trast with existing machine comprehension (MRC) datasets such as SQuAD (Rajpurkar et al., 2016), RACE ... See full document

... Machine reading comprehension with unanswerable ques- tions aims to abstain from answering when no answer can be inferred. In addition to extract answers, previous works usually predict an additional ... See full document

... SQ3R technique is appropriate to be applied as students’ technique in reading. Using SQ3R technique will change a passive reader into an active one. SQ3R is a useful technique for absorbing written information. As ... See full document

... trained weights (i.e., using randomly initialized BERT) hurts the performance most, suggesting that it is beneficial to use pre-trained weights though the source and the target language is dif- ferent. Removing source ... See full document

... This table shows close inter-relatedness among subjective and objective assessment. The concept of ‘home’ does not confirm the entire DIs logically coordinate to FVs. While the difficulty indices (from class I-V) of ... See full document

... The main task will remain the same for participants. Background collections, test documents, and reading tests will be available in Arabic, Bulgarian, English, German, Italian, Romanian, and Spanish. In addition ... See full document

... for machine learning ...2.2 Reading Comprehension in Psychology In psychology, there is a rich tradition of research on human text ...text comprehension. It assumes that comprehension ... See full document

... in numerical operations was the least related to verbal IQ of the four academic ...in numerical operations ...in numerical operation ...low numerical operation performance of the CD ...that ... 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