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Found 8 papers, 3 papers with code
Assessing generalization capability of text ranking models in Polish
Retrieval-augmented generation (RAG) is becoming an increasingly popular technique for integrating internal knowledge bases with large language models.
PIRB: A Comprehensive Benchmark of Polish Dense and Hybrid Text Retrieval Methods
Our dense models outperform the best solutions available to date, and the use of hybrid methods further improves their performance.
OPI at SemEval 2023 Task 9: A Simple But Effective Approach to Multilingual Tweet Intimacy Analysis
The goal of the task was to assess the level of intimacy of Twitter posts in ten languages.
OPI at SemEval 2023 Task 1: Image-Text Embeddings and Multimodal Information Retrieval for Visual Word Sense Disambiguation
The goal of visual word sense disambiguation is to find the image that best matches the provided description of the word's meaning.
Training Effective Neural Sentence Encoders from Automatically Mined Paraphrases
Our sentence encoder can be trained in less than a day on a single graphics card, achieving high performance on a diverse set of sentence-level tasks.
Pre-training Polish Transformer-based Language Models at Scale
We then evaluate our models on thirteen Polish linguistic tasks, and demonstrate improvements over previous approaches in eleven of them.
Evaluation of Sentence Representations in Polish
Methods for learning sentence representations have been actively developed in recent years.
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish
Named entity recognition (NER) is one of the tasks in natural language processing that can greatly benefit from the use of external knowledge sources.
