Results 61 to 70 of about 8,093 (292)

ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension

CoRR, 2019
Reading comprehension is one of the crucial tasks for furthering research in natural language understanding. A lot of diverse reading comprehension datasets have recently been introduced to study various phenomena in natural language, ranging from simple paraphrase matching and entity typing to entity tracking and understanding the implications of the ...
Dheeru Dua, Ananth Gottumukkala, Alon Talmor, Sameer Singh 0001, Matt Gardner 0001   +4 more
openaire   +2 more sources

Scene Restoring for Narrative Machine Reading Comprehension [PDF]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
This paper focuses on machine reading comprehension for narrative passages. Narrative passages usually describe a chain of events. When reading this kind of passage, humans tend to restore a scene according to the text with their prior knowledge, which helps them understand the passage comprehensively.
Zhixing Tian, Yuanzhe Zhang, Kang Liu 0001, Jun Zhao 0001, Yantao Jia, Zhicheng Sheng   +5 more
openaire   +1 more source

Bridging Information-Seeking Human Gaze and Machine Reading Comprehension

, 2020
In this work, we analyze how human gaze during reading comprehension is conditioned on the given reading comprehension question, and whether this signal can be beneficial for machine reading comprehension.
Berzak, Yevgeni, Roger Levy, Jonathan Malmaud, Yevgeni Berzak, Malmaud, Jonathan, Levy, Roger   +5 more
core   +1 more source

Towards Robust and Interpretable Logical Reasoning in Machine Reading Comprehension [PDF]

, 2023
University of Technology Sydney. Faculty of Engineering and Information Technology.Natural Language Processing (NLP) has made significant strides using large pretrained language models in recent years.
Huang, Hao
core  

Answer Span Correction in Machine Reading Comprehension [PDF]

Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Answer validation in machine reading comprehension (MRC) consists of verifying an extracted answer against an input context and question pair. Previous work has looked at re-assessing the "answerability" of the question given the extracted answer. Here we address a different problem: the tendency of existing MRC systems to produce partially correct ...
Revanth Gangi Reddy, Md. Arafat Sultan, Efsun Sarioglu Kayi, Rong Zhang 0010, Vittorio Castelli, Avirup Sil   +5 more
openaire   +2 more sources

Towards Knowledge Enhanced Language Model for Machine Reading Comprehension

IEEE Access, 2020
Machine reading comprehension is a crucial and challenging task in natural language processing (NLP). Recently, knowledge graph (KG) embedding has gained massive attention as it can effectively provide side information for downstream tasks. However, most
Peizhu Gong, Jin Liu, Yihe Yang, Huihua He   +3 more
doaj   +1 more source

Robustness-Eva-MRC: Assessing and analyzing the robustness of neural models in extractive machine reading comprehension

Intelligent Systems with Applications, 2023
Deep neural networks, despite their remarkable success in various language understanding tasks, have been found vulnerable to adversarial attacks and subtle input perturbations, revealing a robustness shortfall.
Jingliang Fang, Hua Xu, Zhijing Wu, Kai Gao, Xiaoyin Che, Haotian Hui   +5 more
doaj   +1 more source

Read + Verify: Machine Reading Comprehension with Unanswerable Questions

Proceedings of the AAAI Conference on Artificial Intelligence, 2019
Machine reading comprehension with unanswerable questions aims to abstain from answering when no answer can be inferred. In addition to extract answers, previous works usually predict an additional “no-answer” probability to detect unanswerable cases.
Minghao Hu, Furu Wei, Yuxing Peng 0001, Zhen Huang 0006, Nan Yang 0002, Ming Zhou 0001   +5 more
openaire   +3 more sources

Reinforced Mnemonic Reader for Machine Reading Comprehension [PDF]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
In this paper, we introduce the Reinforced Mnemonic Reader for machine reading comprehension tasks, which enhances previous attentive readers in two aspects. First, a reattention mechanism is proposed to refine current attentions by directly accessing to past attentions that are temporally memorized in a multi-round alignment architecture, so as to ...
Minghao Hu, Yuxing Peng 0001, Zhen Huang 0006, Xipeng Qiu, Furu Wei, Ming Zhou 0001   +5 more
openaire   +2 more sources

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

FEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source