Results 51 to 60 of about 712 (175)

R-Trans: RNN Transformer Network for Chinese Machine Reading Comprehension

IEEE Access, 2019
Machine reading comprehension (MRC) has gained increasingly wide attention over the past few years. A variety of benchmark datasets have been released, which triggers the development of quite a few MRC approaches based on deep learning techniques ...
Shanshan Liu, Sheng Zhang, Xin Zhang, Hui Wang   +3 more
doaj   +1 more source

cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Transfer Learning

IEEE Access, 2023
Biomedical machine reading comprehension (bio-MRC), a crucial task in natural language processing, is a vital application of a computer-assisted clinical decision support system.
Maria Mahbub, Edmon Begoli, Susana Martins, Alina Peluso, Suzanne Tamang, Gregory Peterson   +5 more
doaj   +1 more source

Are Machine Reading Comprehension Systems Robust to Context Paraphrasing?

, 2023
Investigating the behaviour of Machine Reading Comprehension (MRC) models under various types of test-time perturbations can shed light on the enhancement of their robustness and generalisation capability, despite the superhuman performance they have ...
Schlegel, Viktor; id_orcid, Batista-Navarro, Riza, Wu, Yulong; id_orcid   +2 more
core   +1 more source

Verification of a Dataset for Korean Machine Reading Comprehension with Numerical Discrete Reasoning over Paragraphs

JOIV: International Journal on Informatics Visualization, 2022
Numerical reasoning in machine reading comprehension (MRC) has demonstrated significant performance improvements in the past few years. However, due to the process being restricted to specific languages, low-resource languages are not considered, and MRC
Gyeongmin Kim, Jaechoon Jo
doaj   +1 more source

Korean TableQA: Structured data question answering based on span prediction style with S

ETRI Journal, 2020
The data in tables are accurate and rich in information, which facilitates the performance of information extraction and question answering (QA) tasks. TableQA, which is based on tables, solves problems by understanding the table structure and searching ...
Cheoneum Park, Myungji Kim, Soyoon Park, Seungyoung Lim, Jooyoul Lee, Changki Lee   +5 more
doaj   +1 more source

The DistilBERT Model: A Promising Approach to Improve Machine Reading Comprehension Models

, 2023
Machine Reading Comprehension (MRC) is a challenging task in the field of Natural Language Processing (NLP), where a machine is required to read a given text passage and answer a set of questions based on it.
Abhinav Anand, Khandelwal, Pratiksha, V, Sahana, Anand, Abhinav, Srivastava, Vedant, Nethravathi B, Sahana V, Nagamani H Shahapure, Pranjal Agrawal, Vedant Srivastava, Shahapure, Nagamani H, Pratiksha Khandelwal, Agrawal, Pranjal, PM, Rekha, Rekha PM, B, Nethravathi   +15 more
core   +1 more source

A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension

, 2023
Although great progress has been made for Machine Reading Comprehension (MRC) in English, scaling out to a large number of languages remains a huge challenge due to the lack of large amounts of annotated training data in non-English languages. To address
Gong, Ming, Jiang, Daxin, Shou, Linjun, Pei, Jian, Su, Qinliang, Xu, Zenan, Quan, Xiaojun   +6 more
core   +1 more source

Targeting Post‐Irradiation Thyroid Dysfunction: Electrospun Scaffolds As A Dual‐Action Approach for Antioxidant and Immune Modulation

Advanced Healthcare Materials, EarlyView.
Radiation‐induced hypothyroidism follows head and neck radiotherapy due to oxidative stress and inflammation. Electrospun polycaprolactone scaffolds containing adenosine have potential to modulate thyroid repair. Scaffolds enhance thyrocyte proliferation, antioxidant enzymes glutathione peroxidase and catalase, reduce senescence and apoptosis markers ...
Maria Heim, Ella‐Louise Handley, Daniel Grant, Lizi M. Hegarty, Elaine Emmerson, Anthony Callanan   +5 more
wiley   +1 more source

Machine Reading Comprehension using Case-based Reasoning

, 2023
We present an accurate and interpretable method for answer extraction in machine reading comprehension that is reminiscent of case-based reasoning (CBR) from classical AI.
Zhao, Wenlong, McCallum, Andrew, Das, Rajarshi, Hajishirzi, Hannaneh, Thai, Dung, Lee, Jay-Yoon, Zaheer, Manzil, Agarwal, Dhruv, Chaudhary, Mudit   +8 more
core   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source