DE eng

Search in the Catalogues and Directories

Page: 1 2
Hits 1 – 20 of 33

1
Learning to Borrow -- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion ...
BASE
Show details
2
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings ...
Bollegala, Danushka. - : arXiv, 2022
BASE
Show details
3
Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings
BASE
Show details
4
Detect and Classify – Joint Span Detection and Classification for Health Outcomes ...
BASE
Show details
5
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance ...
BASE
Show details
6
Fine-Tuning Word Embeddings for Hierarchical Representation of Data Using a Corpus and a Knowledge Base for Various Machine Learning Applications
In: Comput Math Methods Med (2021)
BASE
Show details
7
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding.
Bollegala, Danushka; Kawarabayashi, Ken-ichi; Yoshida, Yuichi. - : Association for Computational Linguistics, 2021
BASE
Show details
8
Dictionary-based Debiasing of Pre-trained Word Embeddings.
Bollegala, Danushka; Kaneko, Masahiro. - : Association for Computational Linguistics, 2021
BASE
Show details
9
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance
Sakata, Ichiro; Mori, Junichiro; Bollegala, Danushka. - : Massachusetts Institute of Technology Press, 2021
BASE
Show details
10
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance
BASE
Show details
11
Debiasing Pre-trained Contextualised Embeddings.
Kaneko, Masahiro; Bollegala, Danushka. - : Association for Computational Linguistics, 2021
BASE
Show details
12
Autoencoding Improves Pre-trained Word Embeddings ...
BASE
Show details
13
Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction ...
BASE
Show details
14
Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction.
Mandya, Angrosh; Coenen, Frans; Bollegala, Danushka. - : International Committee on Computational Linguistics, 2020
BASE
Show details
15
Multi-Source Attention for Unsupervised Domain Adaptation.
Bollegala, Danushka; Cui, Xia. - : Association for Computational Linguistics, 2020
BASE
Show details
16
Learning to Compose Relational Embeddings in Knowledge Graphs
Hakami, Huda; Chen, Wenye; Bollegala, Danushka. - : Springer Singapore, 2020
BASE
Show details
17
Tree-Structured Neural Topic Model
BASE
Show details
18
A Pilot Study on Argument Simplification in Stance-Based Opinions
Bollegala, Danushka; Rajendran, Pavithra; Parsons, Simon. - : Springer Singapore, 2020
BASE
Show details
19
Autoencoding Improves Pre-trained Word Embeddings.
Kaneko, Masahiro; Bollegala, Danushka. - : International Committee on Computational Linguistics, 2020
BASE
Show details
20
Context-Guided Self-supervised Relation Embeddings
Hakami, Huda; Bollegala, Danushka. - : Springer Singapore, 2020
BASE
Show details

Page: 1 2

Catalogues
0
0
1
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
32
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern