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Found 11 papers, 3 papers with code
Evaluation of Taxonomy Enrichment on Diachronic WordNet Versions
The vast majority of the existing approaches for taxonomy enrichment apply word embeddings as they have proven to accumulate contexts (in a broad sense) extracted from texts which are sufficient for attaching orphan words to the taxonomy.
A Study on Manual and Automatic Evaluation for Text Style Transfer: The Case of Detoxification
It is often difficult to reliably evaluate models which generate text.
Cross-Modal Contextualized Hidden State Projection Method for Expanding of Taxonomic Graphs
We propose a method that combines graph-, and text-based contextualized representations from transformer networks to predict new entries to the taxonomy.
Wiping out the limitations of Large Language Models -- A Taxonomy for Retrieval Augmented Generation
Current research on RAGs is distributed across various disciplines, and since the technology is evolving very quickly, its unit of analysis is mostly on technological innovations, rather than applications in business contexts.
Low-Resource Machine Translation through the Lens of Personalized Federated Learning
We present a new approach based on the Personalized Federated Learning algorithm MeritFed that can be applied to Natural Language Tasks with heterogeneous data.
TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks
It achieves 11 SotA results, 4 top-2 results out of 16 tasks for the Taxonomy Enrichment, Hypernym Discovery, Taxonomy Construction, and Lexical Entailment tasks.
Large Language Models Meet Knowledge Graphs to Answer Factoid Questions
Recently, it has been shown that the incorporation of structured knowledge into Large Language Models significantly improves the results for a variety of NLP tasks.
RuArg-2022: Argument Mining Evaluation
Argumentation analysis is a field of computational linguistics that studies methods for extracting arguments from texts and the relationships between them, as well as building argumentation structure of texts.
Taxonomy Enrichment with Text and Graph Vector Representations
With the rapid growth of lexical resources for specific domains, the problem of automatic extension of the existing knowledge bases with new words is becoming more and more widespread.
Studying Taxonomy Enrichment on Diachronic WordNet Versions
Ontologies, taxonomies, and thesauri are used in many NLP tasks.
RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language
This paper describes the results of the first shared task on taxonomy enrichment for the Russian language.
