Cross-Lingual Entity Linking

9 papers with code • 0 benchmarks • 1 datasets

Cross-lingual entity linking is the task of using data and models available for one language for which ample such resources are available (e.g., English) to solve entity linking tasks (i.e., assigning a unique identity to entities in a text) in another, commonly low-resource, language.

Image Source: Towards Zero-resource Cross-lingual Entity Linking


Most implemented papers

Joint Multilingual Supervision for Cross-lingual Entity Linking

shyamupa/xelms EMNLP 2018

This enables our approach to: (a) augment the limited supervision in the target language with additional supervision from a high-resource language (like English), and (b) train a single entity linking model for multiple languages, improving upon individually trained models for each language.

Zero-shot Neural Transfer for Cross-lingual Entity Linking

neulab/pivot-based-entity-linking 9 Nov 2018

To address this problem, we investigate zero-shot cross-lingual entity linking, in which we assume no bilingual lexical resources are available in the source low-resource language.

Towards Zero-resource Cross-lingual Entity Linking

shuyanzhou/burn_xel WS 2019

Cross-lingual entity linking (XEL) grounds named entities in a source language to an English Knowledge Base (KB), such as Wikipedia.

Improving Candidate Generation for Low-resource Cross-lingual Entity Linking

shuyanzhou/pbel_plus TACL 2020

Cross-lingual entity linking (XEL) is the task of finding referents in a target-language knowledge base (KB) for mentions extracted from source-language texts.

Design Challenges in Low-resource Cross-lingual Entity Linking

zeyofu/EDL EMNLP 2020

Cross-lingual Entity Linking (XEL), the problem of grounding mentions of entities in a foreign language text into an English knowledge base such as Wikipedia, has seen a lot of research in recent years, with a range of promising techniques.

Soft Gazetteers for Low-Resource Named Entity Recognition

neulab/soft-gazetteers ACL 2020

However, designing such features for low-resource languages is challenging, because exhaustive entity gazetteers do not exist in these languages.

Prix-LM: Pretraining for Multilingual Knowledge Base Construction

luka-group/prix-lm ACL 2022

To achieve this, it is crucial to represent multilingual knowledge in a shared/unified space.

Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact

illdepence/cross-lingual-citations-from-en 7 Nov 2021

Citation information in scholarly data is an important source of insight into the reception of publications and the scholarly discourse.

Efficient Entity Candidate Generation for Low-Resource Languages

epfl-dlab/pti-candgen LREC 2022

We also propose a light-weight and simple solution based on the construction of indexes whose design is motivated by more complex transfer learning based neural approaches.