Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Julie Medero"'
Publikováno v:
SIGCSE
With the CS for All movement increasingly gaining traction nationally, students entering colleges and universities are arriving with deeper and broader CS experiences. This in turn can change students' higher education starting point. This panel of C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a9144dc6c91f6d7927aaecaf7ff5fc0
https://doi.org/10.1145/3328778.3366968
https://doi.org/10.1145/3328778.3366968
Autor:
Julie Medero
Publikováno v:
ACM Inroads. 9:53-56
A commitment to providing research opportunities for undergraduates has been a key element in Harvey Mudd's efforts to increase the diversity of our computer science student body [1]. Including students in problems outside of the classroom helps them
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b421efc168809492b34d775b44e2a18
https://doi.org/10.1145/3230686
https://doi.org/10.1145/3230686
Publikováno v:
SemEval@NAACL-HLT
We investigate the recently developed Bidirectional Encoder Representations from Transformers (BERT) model for the hyperpartisan news detection task. Using a subset of hand-labeled articles from SemEval as a validation set, we test the performance of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11c5c6a72743f57ee348cba4f0e7cf5d
http://arxiv.org/abs/1905.01962
http://arxiv.org/abs/1905.01962
Publikováno v:
SemEval@NAACL-HLT
We use various natural processing and machine learning methods to perform the Hyperpartisan News Detection task. In particular, some of the features we look at are bag-of-words features, the title’s length, number of capitalized words in the title,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77185095237aca96ae163334dc3716ac
https://doi.org/10.18653/v1/s19-2164
https://doi.org/10.18653/v1/s19-2164
Publikováno v:
SemEval@NAACL-HLT
We use the 600 hand-labelled articles from SemEval Task 4 to hand-tune a classifier with 3000 features for the Hyperpartisan News Detection task. Our final system uses features based on bag-of-words (BoW), analysis of the article title, language comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::414d357d628e0f364ca8fc0bf1e4074f
https://doi.org/10.18653/v1/s19-2166
https://doi.org/10.18653/v1/s19-2166
Autor:
Maury Quijada, Julie Medero
Publikováno v:
SemEval@NAACL-HLT
We present two systems created for SemEval2016s Task 11: Complex Word Identification. Our two systems, a regression tree and decision tree, were trained with a word’s unigram and lemma word counts, average ageof-acquisition, and a measure of concre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f257e7f9777350f95486bf36d6ad807b
https://doi.org/10.18653/v1/s16-1161
https://doi.org/10.18653/v1/s16-1161