Equipping machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

We present NusaCrowd, a collaborative initiative to collect and unify existing resources for
Indonesian languages, including opening access to previously non-public resources …

We present NusaCrowd, a collaborative initiative to collect and unify existing resources for
Indonesian languages, including opening access to previously non-public resources …

Cross-lingual representations of words enable us to reason about word meaning in
multilingual contexts and are a key facilitator of cross-lingual transfer when developing …

Open information extraction (Open IE) is a task for extracting relationship triples in plain texts
without previously determining these relationships. The Open IE systems are generally …

Learning what to share between tasks has been a topic of great importance recently, as
strategic sharing of knowledge has been shown to improve downstream task performance …

Recent progress in cross-lingual relation and event extraction use graph convolutional
networks (GCNs) with universal dependency parses to learn language-agnostic sentence …

In this paper, we propose Multi $^ 2$ OIE, which performs open information extraction (open
IE) by combining BERT with multi-head attention. Our model is a sequence-labeling system …

Relation extraction has been widely used for finding unknown relational facts from plain text.
Most existing methods focus on exploiting mono-lingual data for relation extraction, ignoring …

Abstract Progress with supervised Open Information Extraction (OpenIE) has been primarily
limited to English due to the scarcity of training data in other languages. In this paper, we …