scholarly journals Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network

Author(s):  
Zeyun Tang ◽  
Yongliang Shen ◽  
Xinyin Ma ◽  
Wei Xu ◽  
Jiale Yu ◽  
...  

Multi-hop reading comprehension across multiple documents attracts much attentions recently. In this paper, we propose a novel approach to tackle this multi-hop reading comprehension problem. Inspired by the human reasoning processing, we introduce a path-based graph with reasoning paths which extracted from supporting documents. The path-based graph can combine both the idea of the graph-based and path-based approaches, so it is better for multi-hop reasoning. Meanwhile, we propose Gated-GCN to accumulate evidences on the path-based graph, which contains a new question-aware gating mechanism to regulate the usefulness of information propagating across documents and add question information during reasoning. We evaluate our approach on WikiHop dataset, and our approach achieves the the-state-of-art accuracy against previous published approaches. Especially, our ensemble model surpasses the human performance by 4.2%.

Author(s):  
Johannes Welbl ◽  
Pontus Stenetorp ◽  
Sebastian Riedel

Most Reading Comprehension methods limit themselves to queries which can be answered using a single sentence, paragraph, or document. Enabling models to combine disjoint pieces of textual evidence would extend the scope of machine comprehension methods, but currently no resources exist to train and test this capability. We propose a novel task to encourage the development of models for text understanding across multiple documents and to investigate the limits of existing methods. In our task, a model learns to seek and combine evidence — effectively performing multihop, alias multi-step, inference. We devise a methodology to produce datasets for this task, given a collection of query-answer pairs and thematically linked documents. Two datasets from different domains are induced, and we identify potential pitfalls and devise circumvention strategies. We evaluate two previously proposed competitive models and find that one can integrate information across documents. However, both models struggle to select relevant information; and providing documents guaranteed to be relevant greatly improves their performance. While the models outperform several strong baselines, their best accuracy reaches 54.5% on an annotated test set, compared to human performance at 85.0%, leaving ample room for improvement.


2020 ◽  
Vol 2020 (1) ◽  
pp. 105-108
Author(s):  
Ali Alsam

Vision is the science that informs us about the biological and evolutionary algorithms that our eyes, opticnerves and brains have chosen over time to see. This article is an attempt to solve the problem of colour to grey conversion, by borrowing ideas from vision science. We introduce an algorithm that measures contrast along the opponent colour directions and use the results to combine a three dimensional colour space into a grey. The results indicate that the proposed algorithm competes with the state of art algorithms.


2019 ◽  
Vol 21 (4) ◽  
pp. 458-465
Author(s):  
A.I. Sushkov ◽  
◽  
T.A. Astrelina ◽  
E.V. Shestero ◽  
V.A. Nikitina ◽  
...  

2021 ◽  
Author(s):  
Xi Zhang ◽  
Yaping Zhang ◽  
xijun wei ◽  
Chaohui Wei ◽  
Yingze Song

Li–S batteries (LBSs) have received extensive attention owing to their remarkable theoretical capacity (1672 mA h g–1) and high energy density (2600 Wh kg–1), far beyond the state of art...


2021 ◽  
Vol 15 (5) ◽  
pp. 1-32
Author(s):  
Quang-huy Duong ◽  
Heri Ramampiaro ◽  
Kjetil Nørvåg ◽  
Thu-lan Dam

Dense subregion (subgraph & subtensor) detection is a well-studied area, with a wide range of applications, and numerous efficient approaches and algorithms have been proposed. Approximation approaches are commonly used for detecting dense subregions due to the complexity of the exact methods. Existing algorithms are generally efficient for dense subtensor and subgraph detection, and can perform well in many applications. However, most of the existing works utilize the state-or-the-art greedy 2-approximation algorithm to capably provide solutions with a loose theoretical density guarantee. The main drawback of most of these algorithms is that they can estimate only one subtensor, or subgraph, at a time, with a low guarantee on its density. While some methods can, on the other hand, estimate multiple subtensors, they can give a guarantee on the density with respect to the input tensor for the first estimated subsensor only. We address these drawbacks by providing both theoretical and practical solution for estimating multiple dense subtensors in tensor data and giving a higher lower bound of the density. In particular, we guarantee and prove a higher bound of the lower-bound density of the estimated subgraph and subtensors. We also propose a novel approach to show that there are multiple dense subtensors with a guarantee on its density that is greater than the lower bound used in the state-of-the-art algorithms. We evaluate our approach with extensive experiments on several real-world datasets, which demonstrates its efficiency and feasibility.


2019 ◽  
Vol 48 (21) ◽  
pp. 7122-7129 ◽  
Author(s):  
Chia-Jui Chang ◽  
You-Chiuan Chu ◽  
Hao-Yu Yan ◽  
Yen-Fa Liao ◽  
Hao Ming Chen

The state-of-art RuO2 catalyst for the oxygen evolution reaction (OER) is measured by using in situ X-ray absorption spectroscopy (XAS) to elucidate the structural transformation during catalyzing the reaction in acidic and alkaline conditions.


Arts ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 28
Author(s):  
Katy Deepwell

This essay is in four parts. The first offers a critique of James Elkins and Michael Newman’s book The State of Art Criticism (Routledge, 2008) for what it tells us about art criticism in academia and journalism and feminism; the second considers how a gendered analysis measures the “state” of art and art criticism as a feminist intervention; and the third, how neo-liberal mis-readings of Linda Nochlin and Laura Mulvey in the art world represent feminism in ideas about “greatness” and the “gaze”, whilst avoiding feminist arguments about women artists or their work, particularly on “motherhood”. In the fourth part, against the limits of the first three, the state of feminist art criticism across the last fifty years is reconsidered by highlighting the plurality of feminisms in transnational, transgenerational and progressive alliances.


2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Daniela Ligi ◽  
Lidia Croce ◽  
Ferdinando Mannello
Keyword(s):  

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