Results 51 to 60 of about 335 (211)
Machine translation output assessment and its impact on reading comprehension [PDF]
Fanāvarī-i āmūzish, 2020 Background and Objectives: Machine translation is now widely used everywhere; However, its role as a language learning tool has not been confirmed, as there are concerns about its quality.
V.R. Mirzaeian
doaj +1 more source
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 +4 more
openaire +3 more sources
SQL Generation via Machine Reading Comprehension [PDF]
Proceedings of the 28th International Conference on Computational Linguistics, 2020 Text-to-SQL systems offers natural language interfaces to databases, which can automatically generates SQL queries given natural language questions. On the WikiSQL benchmark, state-of- the-art text-to-SQL systems typically take a slot-filling approach by building several specialized models for each type of slot.
Zeyu Yan +3 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 +3 more
doaj +1 more source
A Vietnamese Dataset for Evaluating Machine Reading Comprehension [PDF]
Proceedings of the 28th International Conference on Computational Linguistics, 2020 Over 97 million people speak Vietnamese as their native language in the world. However, there are few research studies on machine reading comprehension (MRC) for Vietnamese, the task of understanding a text and answering questions related to it. Due to the lack of benchmark datasets for Vietnamese, we present the Vietnamese Question Answering Dataset ...
Kiet Van Nguyen +3 more
openaire +3 more sources
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 +6 more
wiley +1 more source
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 +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 +5 more
openaire +4 more sources
FEBS Letters, EarlyView.Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley +1 more source
Integrate Candidate Answer Extraction with Re-Ranking for Chinese Machine Reading Comprehension
Entropy, 2021 Machine Reading Comprehension (MRC) research concerns how to endow machines with the ability to understand given passages and answer questions, which is a challenging problem in the field of natural language processing.
Junjie Zeng +3 more
doaj +1 more source