[PDF] Top 20 Evidence Sentence Extraction for Machine Reading Comprehension

... 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- cess dynamically ... See full document

... the sentence, ACME produces a wide range of drugs including treatments for malaria and athletes foot,‘ our reading system would ex- tract the relations responsibleForTreatment(drugs, ACME), ... See full document

... Domain adaptation has been successfully ap- plied to many tasks, such as image classifi- cation (Tzeng et al., 2017), speech recogni- tion (Doulaty et al., 2015), sentiment classifica- tion (Ganin et al., 2016; Li et ... See full document

... fore, some work tried to alleviate this problem in a coarse-to-fine schema. Wang et al. (2018a) com- bined a ranker for selecting the relevant passage and a reader for producing the answer from it. However, this approach ... See full document

... collect reading-comprehension examples as in Figure 2, we first gather labeled examples for the task of relation-slot ...to reading-comprehension examples, but contain a knowledge-base query ... See full document

... Read reading comprehension system (Hirschman et ...correct sentence as the ...the sentence(s) that best answered the ...single sentence in the story that is judged to be an appropriate ... See full document

... OF COURSE NOT. There is a huge gap between MRC models and human beings, which is mainly reflected in the hunger for data and the robust- ness to noise. On the one hand, developing MRC models requires a large amount of ... See full document

... We implement generation models upon Open- NMT (Klein et al., 2017). We preprocess the cor- pus with the spaCy toolkit for tokenization and sentence segmentation. We lowercase tokens and build the vocabulary on ... See full document

... (2015) which was built from the children’s book stories. Though the CBT dataset also use an automatic way for data generation, there are several differences to the CNN/Daily Mail dataset. They regard the first 20 ... See full document

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

... after reading) are ...Information Extraction task (did the system extract the correct information?) or as a QA task (is the system able to read and reason in order to arrive at the correct ...and ... See full document

... answer extraction and no-answer detection, there exists two problems for each individual ...answer extraction, previous readers are not trained to find candidate answers for unanswerable ... 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 ... See full document

... Chinese machine reading compre- hension datasets. In cloze-style reading compre- hension, Cui et ...cloze-style reading comprehension dataset: Peo- ple’s Daily & Children’s Fairy ... 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

... initial sentence in a news article, and then perform information retrieval to find independent passages relevant to the ...a reading comprehension sys- tem with external knowledge sources (Long et ... See full document

... commonsense-based reading compre- hension, formulated as multiple-choice ques- ...existing reading comprehension datasets where the questions focus on factual and literal understanding of the context ... See full document

... The Japanese sentence analysis method that the authors have developed has two functions: One, to choose an appropriate character among several input character candidates when the charact[r] ... See full document

... word reading in children with RE 1 , and language difficulties at the word, sentence and discourse level have been found 8 in addition to teacher reports of difficulties specifically with reading ... See full document

... teaching reading is to develop students’ skills so that they can read English texts effectively and ...efficient reading is always purposeful and tends to focus mainly on the purpose of the ...of ... See full document