Summary of Towards Systematic Monolingual Nlp Surveys: Gena Of Greek Nlp, by Juli Bakagianni et al.
Towards Systematic Monolingual NLP Surveys: GenA of Greek NLP
by Juli Bakagianni, Kanella Pouli, Maria Gavriilidou, John Pavlopoulos
First submitted to arxiv on: 13 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A recent shift towards multilingualism in Natural Language Processing (NLP) has recognized the need for inclusivity and effectiveness across diverse languages and cultures. The study introduces a methodology for creating systematic and comprehensive monolingual NLP surveys, aiming to optimize the process of constructing such surveys and thoroughly addressing a language’s NLP support. The approach integrates a structured search protocol, an NLP task taxonomy, and language resources (LRs) taxonomies to identify potential benchmarks and highlight opportunities for improving resource availability. The methodology is applied to Greek NLP from 2012-2023, providing a comprehensive overview of its current state and challenges. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary NLP research has traditionally focused on English, but there’s a growing need for inclusivity across diverse languages and cultures. This study shows how to create monolingual NLP surveys that can help bridge this gap. The approach involves searching for relevant materials, organizing them into tasks, and identifying language resources that can be used as benchmarks or improved for better availability. |
Keywords
» Artificial intelligence » Natural language processing » Nlp
