Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Effi Levi"'
Autor:
Avishai Green, Yuya Shibuya, Tommaso Trillo, Saki Mizoroki, Rebecca Scharlach, Blake Hallinan, Tim Park, Effi Levi, Elad Segev, null Shaul Shenhav, Limor Shifman
Publikováno v:
AoIR Selected Papers of Internet Research.
The term _values_ is prominent in political discourse. Yet its ubiquity is matched by its vagueness, especially when considering usage among different cultures. Twitter provides a promising venue for exploring the contested political discourse surrou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d69d5e3fe7f00639b66d70a9587ac2b
https://doi.org/10.5210/spir.v2022i0.13012
https://doi.org/10.5210/spir.v2022i0.13012
Autor:
Alon Zoizner, Keren Tsuriel, Dror K. Markus, Vered Porzycki, Guy Mor-Lan, Avishai Green, Effi Levi, Yariv Tsfati, Israel Waismel-Manor, Tamir Sheafer, Shaul R. Shenhav
Publikováno v:
The Elections in Israel, 2019–2021 ISBN: 9781003267911
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb302e9980afdbcd60376be52a1e4690
https://doi.org/10.4324/9781003267911-15
https://doi.org/10.4324/9781003267911-15
Publikováno v:
Applied Measurement in Education. 31:241-250
In the current study, two pools of 250 essays, all written as a response to the same prompt, were rated by two groups of raters (14 or 15 raters per group), thereby providing an approximation to the essay’s true score. An automated essay scoring (A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37a2257aa86c9cbb5e498f1da7abc419
https://doi.org/10.1080/08957347.2018.1464450
https://doi.org/10.1080/08957347.2018.1464450
Publikováno v:
Journal of Experimental Psychology: Learning, Memory, and Cognition. 43:1470-1489
Semantic distance is a determining factor in cognitive processes, such as semantic priming, operating upon semantic memory. The main computational approach to compute semantic distance is through latent semantic analysis (LSA). However, objections ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4afe8a17b09d14c5ed524f4edf9fc8b
https://doi.org/10.1037/xlm0000391
https://doi.org/10.1037/xlm0000391
Publikováno v:
Diseases in the Breast and Reproductive System V.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd47779a1236e1235cf5d20eb48187c7
https://doi.org/10.1117/12.2508338
https://doi.org/10.1117/12.2508338
Publikováno v:
ACL (1)
The run time complexity of state-of-the-art inference algorithms in graph-based dependency parsing is super-linear in the number of input words (n). Recently, pruning algorithms for these models have shown to cut a large portion of the graph edges, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7a0280cd530d1fdb867dfe396a74ec9
https://doi.org/10.18653/v1/p16-1198
https://doi.org/10.18653/v1/p16-1198
Publikováno v:
ACL (2)
In recent years, distributional models (DMs) have shown great success in representing lexical semantics. In this work we show that the extent to which DMs represent semantic knowledge is highly dependent on the type of knowledge. We pose the task of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::107975099205f40d3b0e4768ffd4de4b
https://doi.org/10.3115/v1/p15-2119
https://doi.org/10.3115/v1/p15-2119