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[PDF] Top 20 NewsQA: A Machine Comprehension Dataset

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NewsQA: A Machine Comprehension Dataset

NewsQA: A Machine Comprehension Dataset

... Recent years have seen the release of a host of MC datasets. Generally, these consist of (docu- ment, question, answer) triples to be used in a su- pervised learning framework. Existing datasets vary in size, difficulty, ... See full document

10

RACE: Large scale ReAding Comprehension Dataset From Examinations

RACE: Large scale ReAding Comprehension Dataset From Examinations

... a machine comprehension dataset (Chen et ...Mail, NEWSQA and Who-did-What, fiction stories for Children’s Book Test and Book Test, and Wikipedia articles for SQUAD), passages in RACE almost ... See full document

10

Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning

Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning

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

8

Evidence Sentence Extraction for Machine Reading Comprehension

Evidence Sentence Extraction for Machine Reading Comprehension

... See Table 4 for results on the DREAM dataset. The fine-tuned GPT baseline, which taks as input the full document, achieves 55.1% in accuracy on the test set. If we train our evidence sentence ex- tractor with DPL ... See full document

12

NumNet: Machine Reading Comprehension with Numerical Reasoning

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 (Hermann et ... See full document

11

Machine Comprehension with Discourse Relations

Machine Comprehension with Discourse Relations

... Data and Setup We run our experiments on a recently compiled dataset for machine comprehen- sion: MCTest (Richardson et al., 2013). The data consists of two distinct sets: MC160 and MC500, which are of ... See full document

10

Stochastic Answer Networks for Machine Reading Comprehension

Stochastic Answer Networks for Machine Reading Comprehension

... in machine reading ...Answering Dataset (SQuAD), the Adver- sarial SQuAD, and the Microsoft MA- chine Reading COmprehension Dataset (MS ... See full document

11

Adversarial Domain Adaptation for Machine Reading Comprehension

Adversarial Domain Adaptation for Machine Reading Comprehension

... for Machine Reading Com- prehension (MRC), where the source domain has a large amount of labeled data, while only unlabeled passages are available in the target ... See full document

11

Cross Lingual Machine Reading Comprehension

Cross Lingual Machine Reading Comprehension

... on Machine Reading Comprehension (MRC) task, most of the previous works are solving English-based MRC problems, and there are few efforts on other languages mainly due to the lack of large-scale training ... See full document

10

Machine Comprehension with Syntax, Frames, and Semantics

Machine Comprehension with Syntax, Frames, and Semantics

... We demonstrate significant improvement on the MCTest question answering task (Richardson et al., 2013) by augmenting baseline features with features based on syntax, frame semantics, coreference, and word embeddings, and ... See full document

7

Datasets for Machine Reading Comprehension: A Literature Review

Datasets for Machine Reading Comprehension: A Literature Review

... MACRO dataset comprises of 1,010,916 anatomized questions—sampled from Bing’s search query logs—each with a human generated answer and 182,669 completely human rewritten generated ...the dataset contains ... See full document

8

Machine Comprehension using Rich Semantic Representations

Machine Comprehension using Rich Semantic Representations

... Figure 1: Example latent answer-entailing structure from the MCTest dataset. The question and answer candidate are combined to generate a hy- pothesis. This hypothesis is AMR parsed to construct a hypothesis ... See full document

7

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

... and NewsQA (Trischler et ...passages. NewsQA uses crowdsourcing to create questions solely from news article summaries in order to control potential ...and NewsQA are limited to Wikipedia and news ... See full document

11

Learning Answer Entailing Structures for Machine Comprehension

Learning Answer Entailing Structures for Machine Comprehension

... chine comprehension evaluates the sys- tem’s ability to understand text through a series of question-answering tasks on short pieces of text such that the correct answer can be found only in the given ...answer ... See full document

11

Structural Embedding of Syntactic Trees for Machine Comprehension

Structural Embedding of Syntactic Trees for Machine Comprehension

... SQuAD dataset illustrates that the syntactic in- formation helps the model to choose the answers that are both succinct and grammatically coherent, which boosted the performance on both qualita- tive studies and ... See full document

10

BioRead: A New Dataset for Biomedical Reading Comprehension

BioRead: A New Dataset for Biomedical Reading Comprehension

... Machine Reading Comprehension (MRC) systems (Her- mann et al., 2015) are given a passage (e.g., from a news ar- ticle or book) and they are required to answer a question by considering the information of ... See full document

6

A Span Extraction Dataset for Chinese Machine Reading Comprehension

A Span Extraction Dataset for Chinese Machine Reading Comprehension

... proposed dataset are com- pletely annotated by human experts, which is dif- ferent from previous works that rely on the auto- matic data generation (Hermann et ... See full document

7

CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension

CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension

... successful comprehension since it requires more effort—active, strategic processing and establishing ontological relationships in that specific ...automated dataset construc- tion, which leaves certain ... See full document

13

MCTest: A Challenge Dataset for the Open Domain Machine Comprehension of Text

MCTest: A Challenge Dataset for the Open Domain Machine Comprehension of Text

... the machine to understand politics, technology, or to have any domain specif- ic ...reading comprehension tasks: see Section 2), and also avoids the need for additional grading, such as is needed in some ... See full document

11

Dataset for the First Evaluation on Chinese Machine Reading Comprehension

Dataset for the First Evaluation on Chinese Machine Reading Comprehension

... Reading Comprehension (MRC) has become enormously popular recently and has attracted a lot of ...reading comprehension datasets are mostly in ...reading comprehension datasets, in this paper we ... See full document

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