Results 21 to 30 of about 1,430 (254)

Rankers: a classification of synchronization problems

open access: yesScience of Computer Programming, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ambuj K. Singh, Mohamed G. Gouda
openaire   +1 more source

Design and Analysis of a Collaborative Story Generation Game for Social Robots

open access: yesFrontiers in Computer Science, 2021
Storytelling plays a central role in human socializing and entertainment, and research on conducting storytelling with robots is gaining interest. However, much of this research assumes that story content is curated.
Eric Nichols   +3 more
doaj   +1 more source

ExaRanker: Explanation-Augmented Neural Ranker

open access: yesCoRR, 2023
Recent work has shown that inducing a large language model (LLM) to generate explanations prior to outputting an answer is an effective strategy to improve performance on a wide range of reasoning tasks. In this work, we show that neural rankers also benefit from explanations.
Fernando Ferraretto   +3 more
openaire   +2 more sources

COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization

open access: yesnpj Digital Medicine, 2021
The COVID-19 global pandemic has resulted in international efforts to understand, track, and mitigate the disease, yielding a significant corpus of COVID-19 and SARS-CoV-2-related publications across scientific disciplines.
Andre Esteva   +6 more
doaj   +1 more source

Identification and dipeptidyl peptidase IV (DPP-IV) inhibitory activity verification of peptides from mouse lymphocytes

open access: yesFood Science and Human Wellness, 2022
The objective of this study was to isolate and identify the intracellular bioactive peptides from mouse lymphocytes before and after lipopolysaccharide (LPS) stimulation, to explore novel peptides and to research the bioactive function.
Juan Wang   +6 more
doaj   +1 more source

Rankers over Infinite Words [PDF]

open access: yes, 2010
To be presented at the 14th Int. Conference on Developments in Language Theory (DLT 2010).
Dartois, Luc   +2 more
openaire   +4 more sources

Understanding BERT Rankers Under Distillation [PDF]

open access: yesProceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval, 2020
Deep language models such as BERT pre-trained on large corpus have given a huge performance boost to the state-of-the-art information retrieval ranking systems. Knowledge embedded in such models allows them to pick up complex matching signals between passages and queries.
Luyu Gao, Zhuyun Dai, Jamie Callan
openaire   +2 more sources

RanKer: An AI-Based Employee-Performance Classification Scheme to Rank and Identify Low Performers

open access: yesMathematics, 2022
An organization’s success depends on its employees, and an employee’s performance decides whether the organization is successful. Employee performance enhances the productivity and output of organizations, i.e., the performance of an employee paves the ...
Keyur Patel   +8 more
doaj   +1 more source

Soils of the mycological reserve on Lisina Mountain in the Republic of Srpska, Bosnia and Herzegovina [PDF]

open access: yesArchives of Biological Sciences, 2014
This paper presents the results of soil research in a mycological reserve that is defined as a special nature reserve according to the IUCN categorization.
Eremija S.   +2 more
doaj   +1 more source

Combining bioinformatic prediction and assay experiment to identify novel xanthine oxidase inhibitory peptides from Pacific bluefin tuna (Thunnus Orientalis) [PDF]

open access: yesE3S Web of Conferences, 2020
In this work, we aim to combine bioinformatic prediction with a special experiment to search xanthine oxidase (XOD) inhibitory peptides from myosin of Pacific bluefin tuna (Thunnus Orientalis). The program Peptide Cutter, Peptide Ranker, Peptide Property
Bu Ying   +3 more
doaj   +1 more source

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