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Hits 1 – 11 of 11

1
Whatever it takes to understand a central banker: Embedding their words using neural networks
Zahner, Johannes; Baumgärtner, Martin. - : Marburg: Philipps-University Marburg, School of Business and Economics, 2021
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2
Sense Identification Dataset - SID ...
Radicioni, Daniele P.. - : Mendeley, 2020
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3
Sense Identification Dataset - SID ...
Radicioni, Daniele P.. - : Mendeley, 2020
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4
COMBINING TEXT EMBEDDING WITH ADDITIONAL KNOWLEDGE FOR INFORMATION EXTRACTION ...
Roy, Arpita. - : Maryland Shared Open Access Repository, 2020
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5
A transportable distributional semantics architecture
Barzegar, Siamak. - : NUI Galway, 2019
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6
A Framework to Understand Emoji Meaning: Similarity and Sense Disambiguation of Emoji using EmojiNet
In: http://rave.ohiolink.edu/etdc/view?acc_num=wright1547506375922938 (2018)
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7
An Empirical Study of Word Embedding Dimensionality Reduction ...
Ji, Yichao. - : Zenodo, 2018
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8
An Empirical Study of Word Embedding Dimensionality Reduction ...
Ji, Yichao. - : Zenodo, 2018
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9
A Framework to Understand Emoji Meaning: Similarity and Sense Disambiguation of Emoji using EmojiNet
In: Browse all Theses and Dissertations (2018)
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10
Things and Strings and More: Improving Place Name Disambiguation from Short Texts by Combining Entity Co-Occurrence, Topic Modeling, and Word Embedding
Ju, Yiting. - : eScholarship, University of California, 2017
In: Ju, Yiting. (2017). Things and Strings and More: Improving Place Name Disambiguation from Short Texts by Combining Entity Co-Occurrence, Topic Modeling, and Word Embedding. 0035: Geography. Retrieved from: http://www.escholarship.org/uc/item/4w60s702 (2017)
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11
Word Representation Using A Deep Neural Network
Li, Yunpeng. - 2016
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