DE eng

Search in the Catalogues and Directories

Hits 1 – 15 of 15

1
Prix-LM: Pretraining for Multilingual Knowledge Base Construction ...
BASE
Show details
2
Knowing the No-match: Entity Alignment with Dangling Cases ...
BASE
Show details
3
Salience-Aware Event Chain Modeling for Narrative Understanding ...
BASE
Show details
4
Event-Centric Natural Language Processing ...
BASE
Show details
5
ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis ...
Meng, Changping; Chen, Muhao; Mao, Jie. - : arXiv, 2021
BASE
Show details
6
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer ...
BASE
Show details
7
Cross-lingual Entity Alignment with Incidental Supervision ...
Chen, Muhao; Shi, Weijia; Zhou, Ben. - : arXiv, 2020
BASE
Show details
8
ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis
BASE
Show details
9
Examining Gender Bias in Languages with Grammatical Gender ...
Zhou, Pei; Shi, Weijia; Zhao, Jieyu. - : arXiv, 2019
BASE
Show details
10
Retrofitting Contextualized Word Embeddings with Paraphrases ...
Shi, Weijia; Chen, Muhao; Zhou, Pei. - : arXiv, 2019
BASE
Show details
11
Learning Bilingual Word Embeddings Using Lexical Definitions ...
BASE
Show details
12
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment ...
Abstract: Multilingual knowledge graph (KG) embeddings provide latent semantic representations of entities and structured knowledge with cross-lingual inferences, which benefit various knowledge-driven cross-lingual NLP tasks. However, precisely learning such cross-lingual inferences is usually hindered by the low coverage of entity alignment in many KGs. Since many multilingual KGs also provide literal descriptions of entities, in this paper, we introduce an embedding-based approach which leverages a weakly aligned multilingual KG for semi-supervised cross-lingual learning using entity descriptions. Our approach performs co-training of two embedding models, i.e. a multilingual KG embedding model and a multilingual literal description embedding model. The models are trained on a large Wikipedia-based trilingual dataset where most entity alignment is unknown to training. Experimental results show that the performance of the proposed approach on the entity alignment task improves at each iteration of co-training, and ... : To appear in IJCAI-18 ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1806.06478
https://dx.doi.org/10.48550/arxiv.1806.06478
BASE
Hide details
13
Quantification and Analysis of Scientific Language Variation Across Research Fields ...
Zhou, Pei; Chen, Muhao; Chang, Kai-Wei. - : arXiv, 2018
BASE
Show details
14
Learning to Represent Bilingual Dictionaries ...
BASE
Show details
15
Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment ...
BASE
Show details

Catalogues
0
0
0
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
15
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern