Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Jacob, Eisenstein"'
Autor:
Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 10, Pp 1138-1158 (2022)
AbstractA fundamental goal of scientific research is to learn about causal relationships. However, despite its critical role in the life and social sciences, causality has not had the same importance in Natural Language Processing (NLP), which has tr
Externí odkaz:
https://doaj.org/article/ce20dd42414b496493ce8c27322a7d13
Autor:
Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, William W. Cohen
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 10, Pp 257-273 (2022)
AbstractMany facts come with an expiration date, from the name of the President to the basketball team Lebron James plays for. However, most language models (LMs) are trained on snapshots of data collected at a specific moment in time. This can limit
Externí odkaz:
https://doaj.org/article/e3775bd76d874aabb6bb93e254c8b254
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 9, Pp 329-345 (2021)
AbstractDual encoders perform retrieval by encoding documents and queries into dense low-dimensional vectors, scoring each document by its inner product with the query. We investigate the capacity of this architecture relative to sparse bag-of-words
Externí odkaz:
https://doaj.org/article/e1bc74e0cf2f43188a3205eb199662a1
Autor:
Scott F. Kiesling, Umashanthi Pavalanathan, Jim Fitzpatrick, Xiaochuang Han, Jacob Eisenstein
Publikováno v:
Computational Linguistics, Vol 44, Iss 4, Pp 683-718 (2018)
Language is shaped by the relationships between the speaker/writer and the audience, the object of discussion, and the talk itself. In turn, language is used to reshape these relationships over the course of an interaction. Computational researchers
Externí odkaz:
https://doaj.org/article/7ea29961ce3d4cd8986eb4b72c1f6b63
Publikováno v:
Journal of Cultural Analytics, Vol 6, Iss 1 (2021)
The abolitionist movement of the nineteenth-century United States remains among the most significant social and political movements in US history. Abolitionist newspapers played a crucial role in spreading information and shaping public opinion aroun
Externí odkaz:
https://doaj.org/article/f0edd17c1f94404eb0ac3d63e0ab65e4
Autor:
Dong Nguyen, Maria Liakata, Simon DeDeo, Jacob Eisenstein, David Mimno, Rebekah Tromble, Jane Winters
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
In this article we describe our experiences with computational text analysis involving rich social and cultural concepts. We hope to achieve three primary goals. First, we aim to shed light on thorny issues not always at the forefront of discussions
Externí odkaz:
https://doaj.org/article/2ec3ebcbd8a8476ead0fbd4aada4db03
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 9:598-601
Exposure to frequent crime incidents has been found to have a negative bearing on the well-being of city residents, even if they are not themselves a direct victim. We pursue the research question of whether naturalistic data shared on Twitter may pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48e7cc8e1b7e1f3665c6082be5a9d37c
https://doi.org/10.1609/icwsm.v9i1.14665
https://doi.org/10.1609/icwsm.v9i1.14665
Autor:
Dong Nguyen, Jacob Eisenstein
Publikováno v:
Computational Linguistics, Vol 43, Iss 3 (2017)
Quantifying the degree of spatial dependence for linguistic variables is a key task for analyzing dialectal variation. However, existing approaches have important drawbacks. First, they are based on parametric models of dependence, which limits their
Externí odkaz:
https://doaj.org/article/84c9dae447484248a4b2f036e18ba14b
Autor:
Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang
A fundamental goal of scientific research is to learn about causal relationships. However, despite its critical role in the life and social sciences, causality has not had the same importance in Natural Language Processing (NLP), which has traditiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f02bbc451da99921782b108109d425f3
http://arxiv.org/abs/2109.00725
http://arxiv.org/abs/2109.00725
Publikováno v:
PLoS ONE, Vol 9, Iss 11, p e113114 (2014)
Computer-mediated communication is driving fundamental changes in the nature of written language. We investigate these changes by statistical analysis of a dataset comprising 107 million Twitter messages (authored by 2.7 million unique user accounts)
Externí odkaz:
https://doaj.org/article/81b27e95f87b48858f2b4d26d5ab9acc