Results 41 to 50 of about 612 (260)
FEBS Letters, EarlyView.An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley +1 more source
Compressing BERT for Binary Text Classification via Adaptive Truncation before Fine-Tuning
Applied Sciences, 2022 Large-scale pre-trained language models such as BERT have brought much better performance to text classification. However, their large sizes can lead to sometimes prohibitively slow fine-tuning and inference.
Xin Zhang, Jing Fan, Mengzhe Hei
doaj +1 more source
FEBS Letters, EarlyView.The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
wiley +1 more source
Recognizing Partial Textual Entailment
, 2013 Textual entailment is an asymmetric relation between two text fragments that describes whether one fragment can be inferred from the other. It thus cannot capture the notion that the target fragment is “almost entailed” by the given text. The recently suggested idea of partial textual entailment may remedy this problem.
Levy, Omer +3 more
openaire +3 more sources
Semantic Annotation for Textual Entailment Recognition [PDF]
, 2013 We introduce a new semantic annotation scheme for the Recognizing Textual Entailment (RTE) dataset as well as a manually annotated dataset that uses this scheme. The scheme addresses three types of modification that license entailment patterns: restrictive, appositive and conjunctive, with a formal semantic specification of these patterns' contribution
Assaf Toledo +6 more
openaire +1 more source
Visual Denotations for Recognizing Textual Entailment [PDF]
Proceedings of the 2017 Conference on Empirical Methods in Natural
Language Processing, 2017 In the logic approach to Recognizing Textual Entailment, identifying phrase-to-phrase semantic relations is still an unsolved problem. Resources such as the Paraphrase Database offer limited coverage despite their large size whereas unsupervised distributional models of meaning often fail to recognize phrasal entailments.
Dan Han +2 more
openaire +1 more source
FEBS Letters, EarlyView.Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
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
Journal of Information Systems Engineering and Business IntelligenceBackground: Recognizing Textual Entailment (RTE) is a task in Natural Language Processing (NLP), used for question-answering, information retrieval, and fact-checking.
Teuku Yusransyah Tandi +2 more
doaj +1 more source
An Open Domain Factoid QA Framework with Improved Validation Techniques
International Journal of Information Science and Management, 2022 The generic Question Answering (QA) framework processes questions by querying a knowledge base and extracting answers from retrieved passages using various Natural Language Processing techniques.
Emmanuel Adebisi +2 more
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