Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022)

Marseille : European Language Resources Association (ELRA), 2022.

The proceedings are organised on the basis of the 22 Tracks of the Conference on Language Resources and Evaluation (LREC) held in Marseille, France, from 20 to 25 June 2022. Major topics include corpora and annotation (including tools, systems, treebanks), information extraction and information retrieval (including ner, qa, text mining, document classification, text categorisation), applications involving lrs and evaluation (including applications in specific domains), less-resourced/endangered languages, dialogue, conversational systems, chatbots, human-robot interaction, speech resources and processing (including phonetic databases, phonology, prosody), statistical methods and machine learning for language technologies (including language models), multilinguality and machine translation (including speech-to-speech translation), evaluation and validation methodologies, opinion mining, sentiment analysis, emotion recognition/generation, multimodality and cross-modality (including sign languages, vision and other modalities) and multimedia, social media processing, statistical methods and machine learning for language technologies (including language models).

Chapters

Constructing a Lexical Resource of Russian Derivational Morphology

Kyjánek L., Lyashevskaya O., Nedoluzhko A. et al., , in: Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022).: Marseille: European Language Resources Association (ELRA), 2022. Ch. 298 P. 2788–2797.

Words of any language are to some extent related thought the ways they are formed. For instance, the verb ‘exempl-ify’ and the noun ‘example-s’ are both based on the word ‘example’, but the verb is derived from it, while the noun is inflected. In Natural Language Processing of Russian, the inflection is satisfactorily processed; however, ...

Added: February 22, 2023

Entity Linking over Nested Named Entities for Russian

Loukachevitch N., Braslavski P., Ivanov V. et al., , in: Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022).: Marseille: European Language Resources Association (ELRA), 2022. P. 4458–4466.

In this paper, we describe entity linking annotation over nested named entities in the recently released Russian NEREL dataset for information extraction. The NEREL collection is currently the largest Russian dataset annotated with entities and relations. It includes 933 news texts with annotation of 29 entity types and 49 relation types. The paper describes the ...

Added: April 16, 2023

Keywords: natural language processing, корпусная лингвистика, corpus linguistics, автоматическая обработка естественного языка, электронные лингвистические ресурсы, language resources and evaluation, лингвистические ресурсы и их оценка, Natural Language Understanding, Digital linguistic resources, автоматическое понимание естественного языка