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pro vyhledávání: '"Moeller, Sarah."'
Recent research has highlighted that natural language processing (NLP) systems exhibit a bias against African American speakers. The bias errors are often caused by poor representation of linguistic features unique to African American English (AAE),
Externí odkaz:
http://arxiv.org/abs/2204.12421
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization
Autor:
Neubig, Graham, Rijhwani, Shruti, Palmer, Alexis, MacKenzie, Jordan, Cruz, Hilaria, Li, Xinjian, Lee, Matthew, Chaudhary, Aditi, Gessler, Luke, Abney, Steven, Hayati, Shirley Anugrah, Anastasopoulos, Antonios, Zamaraeva, Olga, Prud'hommeaux, Emily, Child, Jennette, Child, Sara, Knowles, Rebecca, Moeller, Sarah, Micher, Jeffrey, Li, Yiyuan, Zink, Sydney, Xia, Mengzhou, Sharma, Roshan S, Littell, Patrick
Despite recent advances in natural language processing and other language technology, the application of such technology to language documentation and conservation has been limited. In August 2019, a workshop was held at Carnegie Mellon University in
Externí odkaz:
http://arxiv.org/abs/2004.13203
Autor:
Schneider, Nathan, Hwang, Jena D., Srikumar, Vivek, Prange, Jakob, Blodgett, Austin, Moeller, Sarah R., Stern, Aviram, Bitan, Adi, Abend, Omri
Semantic relations are often signaled with prepositional or possessive marking--but extreme polysemy bedevils their analysis and automatic interpretation. We introduce a new annotation scheme, corpus, and task for the disambiguation of prepositions a
Externí odkaz:
http://arxiv.org/abs/1805.04905
Autor:
Schneider, Nathan, Hwang, Jena D., Srikumar, Vivek, Bhatia, Archna, Han, Na-Rae, O'Gorman, Tim, Moeller, Sarah R., Abend, Omri, Shalev, Adi, Blodgett, Austin, Prange, Jakob
This document offers a detailed linguistic description of SNACS (Semantic Network of Adposition and Case Supersenses; Schneider et al., 2018), an inventory of 52 semantic labels ("supersenses") that characterize the use of adpositions and case marker
Externí odkaz:
http://arxiv.org/abs/1704.02134
Publikováno v:
In Multiple Sclerosis and Related Disorders March 2022 59
Autor:
Moeller, Sarah.
Publikováno v:
Connect to resource online..
Thesis (M.A.)--University of Cincinnati, 2008.
Advisor: Kristi Nelson (Advisor), Diane Mankin (Committee Member), Lowanne Jones (Committee Member). Title from electronic thesis title page (viewed Feb. 8, 2009). Includes abstract. Includes biblio
Advisor: Kristi Nelson (Advisor), Diane Mankin (Committee Member), Lowanne Jones (Committee Member). Title from electronic thesis title page (viewed Feb. 8, 2009). Includes abstract. Includes biblio
Autor:
San, Nay, Bartelds, Martijn, Ògúnrèmí, Tolúlopé, Mount, Alison, Thompson, Ruben, Higgins, Michael, Barker, Roy, Simpson, Jane, Jurafsky, Dan, Moeller, Sarah, Anastasopoulos, Antonios, Arppe, Antti, Chaudhary, Aditi, Harrigan, Atticus, Holden, Josh, Lachler, Jordan, Palmer, Alexis, Rijhwani, Shruti, Schwartz, Lane
Publikováno v:
COMPUTEL 2022-5th Workshop on the Use of Computational Methods in the Study of Endangered Languages, Proceedings of the Workshop, 41-51
STARTPAGE=41;ENDPAGE=51;TITLE=COMPUTEL 2022-5th Workshop on the Use of Computational Methods in the Study of Endangered Languages, Proceedings of the Workshop
STARTPAGE=41;ENDPAGE=51;TITLE=COMPUTEL 2022-5th Workshop on the Use of Computational Methods in the Study of Endangered Languages, Proceedings of the Workshop
Many archival recordings of speech from endangered languages remain unannotated and inaccessible to community members and language learning programs. One bottleneck is the time-intensive nature of annotation. An even narrower bottleneck occurs for re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::a86ddf89ed1cec76a5e4e3071654cae9
https://research.rug.nl/en/publications/44bf68d6-4fca-4ed4-8946-1ad078b3bf4c
https://research.rug.nl/en/publications/44bf68d6-4fca-4ed4-8946-1ad078b3bf4c
Autor:
Van Gysel, Jens E. L., Vigus, Meagan, Chun, Jayeol, Lai, Kenneth, Moeller, Sarah, Yao, Jiarui, O'Gorman, Tim, Cowell, Andrew, Croft, William, Huang, Chu-Ren, Hajič, Jan, Martin, James H., Oepen, Stephan, Palmer, Martha, Pustejovsky, James, Vallejos, Rosa, Xue, Nianwen
Publikováno v:
KI: Künstliche Intelligenz; Nov2021, Vol. 35 Issue 3/4, p343-360, 18p
Autor:
Siegel, Steven W., Moeller, Sarah E.
Publikováno v:
In Female Urology Edition: Third Edition. 2008:266-276