Datasets that pair Knowledge Graphs (KG) and text together (KG-T) can be...
To better care for the elderly and disabled, it is essential for service...
While recent progress in video-text retrieval has been advanced by the
e...
Though end-to-end neural approaches have recently been dominating NLP ta...
Class-based language models (LMs) have been long devised to address cont...
State-of-the-art approaches to spelling error correction problem include...
We present Mr. TyDi, a multi-lingual benchmark dataset for mono-lingual
...
In this work, we focus on two crucial components in the cross-domain
tex...
Most recently, there has been significant interest in learning contextua...
Pre-trained language models have achieved state-of-the-art results in va...
The semantics of a text is manifested not only by what is read, but also...
Recent work has shown the surprising ability of multi-lingual BERT to se...
Multilingual knowledge graphs (KGs), such as YAGO and DBpedia, represent...
In actuarial research, a task of particular interest and importance is t...
We present simple BERT-based models for relation extraction and semantic...
Forecasting the outstanding claim liabilities to set adequate reserves i...
This paper explores the problem of matching entities across different
kn...
A Bonus-Malus System (BMS) in insurance is a premium adjustment mechanis...
This paper explores the problem of ranking short social media posts with...
The bundling feature of a nonlife insurance contract often leads to mult...
This paper proposes a novel semiparametric multivariate D-vine time seri...
Cryptocurrencies (or digital tokens, digital currencies, e.g., BTC, ETH,...
We examine the problem of question answering over knowledge graphs, focu...