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Simple Search
Hits 1 – 13 of 13
1
Autoencoding Improves Pre-trained Word Embeddings ...
Kaneko, Masahiro
;
Bollegala, Danushka
. - : arXiv, 2020
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2
Autoencoding Improves Pre-trained Word Embeddings ...
The 28th International Conference on Computational Linguistics 2020
;
Bollegala, Danushka
;
Kaneko, Masahiro
. - : Underline Science Inc., 2020
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3
Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction ...
The 28th International Conference on Computational Linguistics 2020
;
Bollegala, Danushka
;
Coenen, Frans
. - : Underline Science Inc., 2020
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4
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction ...
Bollegala, Danushka
;
Kiryo, Ryuichi
;
Tsujino, Kosuke
. - : arXiv, 2020
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5
Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction.
Mandya, Angrosh
;
Coenen, Frans
;
Bollegala, Danushka
. - : International Committee on Computational Linguistics, 2020
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6
Multi-Source Attention for Unsupervised Domain Adaptation.
Bollegala, Danushka
;
Cui, Xia
. - : Association for Computational Linguistics, 2020
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7
Learning to Compose Relational Embeddings in Knowledge Graphs
Hakami, Huda
;
Chen, Wenye
;
Bollegala, Danushka
. - : Springer Singapore, 2020
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8
Tree-Structured Neural Topic Model
Isonuma, Masaru
;
Mori, Junichiro
;
Bollegala, Danushka
. - 2020
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9
A Pilot Study on Argument Simplification in Stance-Based Opinions
Bollegala, Danushka
;
Rajendran, Pavithra
;
Parsons, Simon
. - : Springer Singapore, 2020
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10
Joint Approaches for Learning Word Representations from Text Corpora and Knowledge Bases
Alsuhaibani, Mohammed
. - 2020
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11
Autoencoding Improves Pre-trained Word Embeddings.
Kaneko, Masahiro
;
Bollegala, Danushka
. - : International Committee on Computational Linguistics, 2020
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12
Context-Guided Self-supervised Relation Embeddings
Hakami, Huda
;
Bollegala, Danushka
. - : Springer Singapore, 2020
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13
A Study on Learning Representations for Relations Between Words
Hakami, Huda
. - 2020
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