Cross-Lingual Information to the Rescue in Keyword Extraction

MAKED: Multi-lingual Automatic Keyword Extraction Dataset

Keyword extraction is an integral task for many downstream problems like clustering, recommendation, search and classification. Development and evaluation of keyword extraction techniques require an exhaustive dataset; h…

Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?

Keyword extraction is the task of retrieving words that are essential to the content of a given document. Researchers proposed various approaches to tackle this problem. At the top-most level, approaches are divided into…

Bilingual Keyword Extraction and its Educational Application

Few-Shot Keyword Spotting in Any Language

We introduce a few-shot transfer learning method for keyword spotting in any language. Leveraging open speech corpora in nine languages, we automate the extraction of a large multilingual keyword bank and use it to train…

EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media

EMBEDDIA project developed a range of resources and methods for less-resourced EU languages, focusing on applications for media industry, including keyword extraction, comment moderation and article generation.