• Novel zero-shot cross-lingual Named Entity Disambiguation approach. Robust system that does not require native prior probabilities. Purpose-built multilingual method outperforms generic models such as XLM-R. English is necessarily the most effective training language for zero-shot. New dataset Basque/English, which facilitates further research. In cross-Lingual (XNED) task to link mentions in...

We present a novel, language-agnostic approach to "priming" language models for the task of event extraction, providing particularly effective performance in low-resource and zero-shot cross-lingual settings. With priming, we augment input transformer stack's model differently depending on question(s) being asked at runtime. For instance, if is identify arguments trigger "protested", will provi...

The world wide web is a natural setting for cross-lingual information retrieval; web content is essentially multilingual, and web searchers are often polyglots. Even though English has emerged as the lingua franca of the web, planning for a business trip or holiday usually involves digesting pages in a foreign language. The same holds for searching information about European culture, sports, ec...

This paper describes our approach to the 2011 Text Analysis Conference (TAC) Knowledge Base Population (KBP) cross-lingual entity linking problem. We recast the problem of entity linking as one of cross-document entity coreference. We compare an approach where deductive entity linking informs crossdocument coreference to an inductive approach where coreference and linking judgements are mutuall...

The present study assessed intra- and cross-lingual neighborhood effects, using both a generalized lexical decision task and an analysis of a large-scale bilingual eye-tracking corpus (Cop, Dirix, Drieghe, & Duyck, 2016). Using new neighborhood density and frequency measures, the general lexical decision task yielded an inhibitory cross-lingual neighborhood density effect on reading times of se...

Automatically discovering cross-lingual links (CLs) between wikis can largely enrich the cross-lingual knowledge and facilitate knowledge sharing across different languages. In most existing approaches for cross-lingual knowledge linking, the seed CLs and the inner link structures are two important factors for finding new CLs. When there are insufficient seed CLs and inner links, discovering ne...

International crime and terrorism have drawn increasing attention in recent years. Retrieving relevant information from criminal records and suspect communications is important in combating international crime and terrorism. However, most of this information is written in languages other than English and is stored in various locations. Information sharing between countries therefore presents th...

To advance information extraction and question answering technologies toward a more realistic path, the U.S. NIST (National Institute of Standards and Technology) initiated the KBP (Knowledge Base Population) task as one of the TAC (Text Analysis Conference) evaluation tracks. It aims to encourage research in automatic information extraction of named entities from unstructured texts with the ul...