Multi-word entity classification in a highly multilingual environment
This paper describes an approach for the classification of millions of existing multi-word
entities (MWEntities), such as organisation or event names, into thirteen category types …
entities (MWEntities), such as organisation or event names, into thirteen category types …
[PDF][PDF] Cross-lingual linking of multi-word entities and language-dependent learning of multi-word entity patterns
Named Entities (NEs) such as persons, organisations, locations and events are major
bearers of information in text as they provide answers to the text representation questions …
bearers of information in text as they provide answers to the text representation questions …
Cross-lingual named entity list search via transliteration
A Khakhmovich, S Pavlova, K Kirillova… - Proceedings of the …, 2020 - aclanthology.org
Out-of-vocabulary words are still a challenge in cross-lingual Natural Language Processing
tasks, for which transliteration from source to target language or script is one of the solutions …
tasks, for which transliteration from source to target language or script is one of the solutions …
UXWN: analysis and improvement of a logical form resource for NLP
A Rotondi - 2018 - dspace.unive.it
Logical Form is an exceptionally important linguistic representation for highly demanding
semantically related tasks like Question Answering. In this work I present different types of …
semantically related tasks like Question Answering. In this work I present different types of …