Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Aidan San"'
Publikováno v:
SIGIR
Sequential recommendation is the task of predicting the next items for users based on their interaction history. Modeling the dependence of the next action on the past actions accurately is crucial to this problem. Moreover, sequential recommendation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a25fcdc07b98ff7c44802577c34f040
https://doi.org/10.1145/3404835.3462832
https://doi.org/10.1145/3404835.3462832
Publikováno v:
L@S
Concepts are basic elements in any learning module and are thus very useful for modeling, summarizing, and previewing the content of any module. Automatic extraction of the major concepts from online education materials enables many useful applicatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13d2c82b85fd9d630a13ef4db0610e2d
https://doi.org/10.1145/3386527.3406749
https://doi.org/10.1145/3386527.3406749
Publikováno v:
COLING
In Text-to-SQL semantic parsing, selecting the correct entities (tables and columns) for the generated SQL query is both crucial and challenging; the parser is required to connect the natural language (NL) question and the SQL query to the structured
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::414ffc5fb4a3e02a827ecdc84801b40b
Autor:
Aidan San
Publikováno v:
SemEval@NAACL-HLT
We propose a Long Short Term Memory Neural Network model for irony detection in tweets in this paper. Our model is trained using word embeddings and emoji embeddings. We show that adding sentiment scores to our model improves the F1 score of our base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5cc44ab8d81d13f19320a9625a302ad
https://doi.org/10.18653/v1/s18-1091
https://doi.org/10.18653/v1/s18-1091