A review: Knowledge reasoning over knowledge graph
X Chen, S Jia, Y Xiang - Expert systems with applications, 2020 - Elsevier
Mining valuable hidden knowledge from large-scale data relies on the support of reasoning
technology. Knowledge graphs, as a new type of knowledge representation, have gained …
technology. Knowledge graphs, as a new type of knowledge representation, have gained …
Academic plagiarism detection: a systematic literature review
This article summarizes the research on computational methods to detect academic
plagiarism by systematically reviewing 239 research papers published between 2013 and …
plagiarism by systematically reviewing 239 research papers published between 2013 and …
Knowledge graphs: An information retrieval perspective
In this survey, we provide an overview of the literature on knowledge graphs (KGs) in the
context of information retrieval (IR). Modern IR systems can benefit from information …
context of information retrieval (IR). Modern IR systems can benefit from information …
Cross-lingual learning for text processing: A survey
Many intelligent systems in business, government or academy process natural language as
an input during inference or they might even communicate with users in natural language …
an input during inference or they might even communicate with users in natural language …
On the impact of emotions on author profiling
In this paper, we investigate the impact of emotions on author profiling, concretely identifying
age and gender. Firstly, we propose the EmoGraph method for modelling the way people …
age and gender. Firstly, we propose the EmoGraph method for modelling the way people …
[PDF][PDF] Nasari: a novel approach to a semantically-aware representation of items
J Camacho-Collados, MT Pilehvar… - Proceedings of the 2015 …, 2015 - aclanthology.org
The semantic representation of individual word senses and concepts is of fundamental
importance to several applications in Natural Language Processing. To date, concept …
importance to several applications in Natural Language Processing. To date, concept …
A systematic study of knowledge graph analysis for cross-language plagiarism detection
M Franco-Salvador, P Rosso… - Information Processing & …, 2016 - Elsevier
Cross-language plagiarism detection aims to detect plagiarised fragments of text among
documents in different languages. In this paper, we perform a systematic examination of …
documents in different languages. In this paper, we perform a systematic examination of …
[HTML][HTML] From senses to texts: An all-in-one graph-based approach for measuring semantic similarity
MT Pilehvar, R Navigli - Artificial Intelligence, 2015 - Elsevier
Quantifying semantic similarity between linguistic items lies at the core of many applications
in Natural Language Processing and Artificial Intelligence. It has therefore received a …
in Natural Language Processing and Artificial Intelligence. It has therefore received a …
Unsupervised cross-lingual information retrieval using monolingual data only
We propose a fully unsupervised framework for ad-hoc cross-lingual information retrieval
(CLIR) which requires no bilingual data at all. The framework leverages shared cross-lingual …
(CLIR) which requires no bilingual data at all. The framework leverages shared cross-lingual …
Cross-language plagiarism detection over continuous-space-and knowledge graph-based representations of language
Cross-language (CL) plagiarism detection aims at detecting plagiarised fragments of text
among documents in different languages. The main research question of this work is on …
among documents in different languages. The main research question of this work is on …