We introduce a new public benchmark dataset for cross-lingual relation classification in English, French, German, Spanish, and Turkish, called RELX.

Oct 19, 2020 � We introduce a new public benchmark dataset for cross-lingual relation classification in English, French, German, Spanish, and Turkish, called RELX.

We pretrained public checkpoint of Multilingual BERT with 20 million pairs of sentences from RELX-Distant (including English, French, German, Spanish, and,�...

The MultiTACRED dataset is introduced, covering 12 typologically diverse languages from 9 language families, which is created by machine-translating TACRED�...

RELX is a benchmark dataset for cross-lingual relation classification in English, French, German, Spanish and Turkish.

Dec 24, 2020 � With the proposed approach, we achieve state-of-the-art performance on the sentiment analysis task on Slovenian news. We evaluate the zero-shot�...

To overcome this issue, we propose two cross-lingual relation classification models: a baseline model based on Multilingual BERT and a new multilingual�...

Oct 19, 2020 � First, we introduced two publicly available datasets: RELX, a cross- lingual relation classification benchmark for En- glish, French, German,�...

Co-authors ; The RELX Dataset and Matching the Multilingual Blanks for Cross-Lingual Relation Classification. A K�ksal, A �zg�r. Findings of Empirical Methods in�...

The RELX Dataset and Matching the Multilingual Blanks for Cross-Lingual Relation Classification. 99% RelevantArticle. Relation classification is one of the�...