Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jay DeYoung"'
Autor:
Benjamin E, Nye, Jay, DeYoung, Eric, Lehman, Ani, Nenkova, Iain J, Marshall, Byron C, Wallace
Publikováno v:
AMIA Annu Symp Proc
The best evidence concerning comparative treatment effectiveness comes from clinical trials, the results of which are reported in unstructured articles. Medical experts must manually extract information from articles to inform decision-making, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::7569966f74a2af447b4c734396950505
https://pubmed.ncbi.nlm.nih.gov/34457164
https://pubmed.ncbi.nlm.nih.gov/34457164
To assess the effectiveness of any medical intervention, researchers must conduct a time-intensive and highly manual literature review. NLP systems can help to automate or assist in parts of this expensive process. In support of this goal, we release
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4130829efc550d8a7350a52f6a5648df
http://arxiv.org/abs/2104.06486
http://arxiv.org/abs/2104.06486
Publikováno v:
BioNLP
How do we most effectively treat a disease or condition? Ideally, we could consult a database of evidence gleaned from clinical trials to answer such questions. Unfortunately, no such database exists; clinical trial results are instead disseminated p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44f395da65d9b6300fa15d8e26e7704d
Publikováno v:
Machine Translation. 32:31-43
We describe a multifaceted approach to named entity recognition that can be deployed with minimal data resources and a handful of hours of non-expert annotation. We describe how this approach was applied in the 2016 LoReHLT evaluation and demonstrate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::957f2b3ccae9553520e0f825c07a12d5
https://doi.org/10.1007/s10590-017-9208-0
https://doi.org/10.1007/s10590-017-9208-0
Autor:
William Hartmann, John Makhoul, Zhongqiang Huang, Damianos Karakos, Zhuolin Jiang, Lingjun Zhao, Jay DeYoung, Noah Rivkin, Rabih Zbib, Le Zhang, Richard Schwartz
Publikováno v:
SIGIR
We propose a neural network model to estimate word translation probabilities for Cross-Lingual Information Retrieval (CLIR). The model estimates better probabilities for word translations than automatic word alignments alone, and generalizes to unsee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1360a1e946179bf6d7850e72f86c29c0
https://doi.org/10.1145/3331184.3331222
https://doi.org/10.1145/3331184.3331222
Autor:
Nazneen Fatema Rajani, Richard Socher, Jay DeYoung, Caiming Xiong, Byron C. Wallace, Eric Lehman, Sarthak Jain
Publikováno v:
ACL
State-of-the-art models in NLP are now predominantly based on deep neural networks that are opaque in terms of how they come to make predictions. This limitation has increased interest in designing more interpretable deep models for NLP that reveal t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7ccba42ddaac08aeed70908389fd8d5
Publikováno v:
NAACL-HLT (1)
How do we know if a particular medical treatment actually works? Ideally one would consult all available evidence from relevant clinical trials. Unfortunately, such results are primarily disseminated in natural language scientific articles, imposing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe46ca34afe149039c2c40a53c856dfc
Publikováno v:
SocialNLP@EMNLP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::141f6cd4606f4f5f2cef00dc468c1345
https://doi.org/10.18653/v1/w16-6204
https://doi.org/10.18653/v1/w16-6204
Autor:
Jay DeYoung, Francis Ferraro, Nanyun Peng, Max Thomas, Craig Harman, Mark Dredze, Benjamin Van Durme, Travis Wolfe, Nicholas Andrews, Matthew R. Gormley, Mo Yu
Publikováno v:
HLT-NAACL
Natural language processing research increasingly relies on the output of a variety of syntactic and semantic analytics. Yet integrating output from multiple analytics into a single framework can be time consuming and slow research progress. We prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::397d77af727ddeb4f8f6b4e87949ce98
https://doi.org/10.3115/v1/n15-3018
https://doi.org/10.3115/v1/n15-3018
Autor:
Shengli Ma, Carl A. Busacca, Scot Campbell, Sherry Shen, Nelu Grinberg, Jay DeYoung, Diana C. Reeves, Nina C. Gonnella, Elisa Farber, Nizar Haddad, Heewon Lee, Chris H. Senanayake
Publikováno v:
Organic letters. 11(24)
Phosphine boranes have been found to hydrophosphinate internal, unactivated alkynes at room temperature under basic conditions without the need for catalysts or radical initiators. The use of air-sensitive secondary phosphines is avoided in this faci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ab644af77e78478c73a77639fa4a93f
https://pubmed.ncbi.nlm.nih.gov/19908885
https://pubmed.ncbi.nlm.nih.gov/19908885