Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Nicholas FitzGerald"'
Autor:
Shengqiang Fan, Genevieve H. Dennison, Nicholas FitzGerald, Paul L. Burn, Ian R. Gentle, Paul E. Shaw
Publikováno v:
Communications Chemistry, Vol 4, Iss 1, Pp 1-11 (2021)
Chemical warfare agents and simulants are commonly detected with fluorescent sensing materials containing nitrogen-based groups, however these groups’ basicity can cause false positives in the presence of acids. Here, the authors disentangle the re
Externí odkaz:
https://doaj.org/article/484cdc3f057046d896adbe0631498b81
Autor:
Kent Rosser, Karl Pavey, Nicholas FitzGerald, Anselm Fatiaki, Daniel Neumann, David Carr, Brian Hanlon, Javaan Chahl
Publikováno v:
Remote Sensing, Vol 7, Iss 12, Pp 16865-16882 (2015)
The ability to remotely detect and map chemical vapour clouds in open air environments is a topic of significant interest to both defence and civilian communities. In this study, we integrate a prototype miniature colorimetric chemical sensor develop
Externí odkaz:
https://doaj.org/article/3102ad3a826448a2a76d64d52921fe91
Autor:
Nicholas Fitzgerald
管理學院MBA
102
This case study will focus the marketing strategy on an SME (The Tee Inkers) in an emerging market and highly competitive. It would highlight the present marketing strategy of the company and would highlight some changes
102
This case study will focus the marketing strategy on an SME (The Tee Inkers) in an emerging market and highly competitive. It would highlight the present marketing strategy of the company and would highlight some changes
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/57020805874603988446
Autor:
Paul L. Burn, Ian R. Gentle, Nicholas FitzGerald, Sheng-Qiang Fan, Genevieve H. Dennison, Paul E. Shaw
Publikováno v:
Communications Chemistry, Vol 4, Iss 1, Pp 1-11 (2021)
A common feature of fluorescent sensing materials for detecting chemical warfare agents (CWAs) and simulants is the presence of nitrogen-based groups designed to nucleophilically displace a phosphorus atom substituent, with the reaction causing a mea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::696668239b249b1bfeed63d48310e68c
https://doaj.org/article/484cdc3f057046d896adbe0631498b81
https://doaj.org/article/484cdc3f057046d896adbe0631498b81
Autor:
Lisa A. Cosimi, Christina Kelly, Samantha Esposito, Scott Seitz, Cole Sher-Jan, Jacquelyn Turcinovic, Kelley Friedman, Michael Nashed, Jesse Souweine, Nicholas Fitzgerald, Stacey Gabriel, John H. Connor, Deborah Hung
ImportanceRecent CDC COVID-19 isolation guidance for non-immunocompromised individuals with asymptomatic or mild infection allows ending isolation after 5 days if asymptomatic or afebrile with improving symptoms. The role of rapid antigen testing in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27b678ac4c148aadd69c0bf5d7e8e966
https://doi.org/10.1101/2022.03.03.22271766
https://doi.org/10.1101/2022.03.03.22271766
Autor:
Andrew McCallum, Jan A. Botha, Tom Kwiatkowski, Nicholas FitzGerald, Daniel M. Bikel, Daniel Gillick
Publikováno v:
ACL/IJCNLP (2)
We present an instance-based nearest neighbor approach to entity linking. In contrast to most prior entity retrieval systems which represent each entity with a single vector, we build a contextualized mention-encoder that learns to place similar ment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bd60a64092464228bac9c1c89287b44
Publikováno v:
EMNLP (1)
We focus on the problem of capturing declarative knowledge about entities in the learned parameters of a language model. We introduce a new model---Entities as Experts (EaE)---that can access distinct memories of the entities mentioned in a piece of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee0b487b0d3c1881997b2e5dbb9b4e2d
Publikováno v:
ACL (1)
General purpose relation extractors, which can model arbitrary relations, are a core aspiration in information extraction. Efforts have been made to build general purpose extractors that represent relations with their surface forms, or which jointly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7638c5f8a66cd0ddfa6b605c95725f1
https://doi.org/10.18653/v1/p19-1279
https://doi.org/10.18653/v1/p19-1279
Publikováno v:
ACL (1)
We present a new large-scale corpus of Question-Answer driven Semantic Role Labeling (QA-SRL) annotations, and the first high-quality QA-SRL parser. Our corpus, QA-SRL Bank 2.0, consists of over 250,000 question-answer pairs for over 64,000 sentences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35eb45cc56fabe60651c9edeacfd09dc