Michal Perelkiewicz

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Top Venues

Publications

Slawomir Dadas, Michal Perelkiewicz, Rafal Poswiata
PIRB: A Comprehensive Benchmark of Polish Dense and Hybrid Text Retrieval Methods. CoRR (2024)
Slawomir Dadas, Michal Perelkiewicz, Rafal Poswiata
PIRB: A Comprehensive Benchmark of Polish Dense and Hybrid Text Retrieval Methods. LREC/COLING (2024)
Michal Perelkiewicz, Rafal Poswiata
A Review of the Challenges with Massive Web-mined Corpora Used in Large Language Models Pre-Training. CoRR (2024)
Rafal Poswiata, Slawomir Dadas, Michal Perelkiewicz
PL-MTEB: Polish Massive Text Embedding Benchmark. CoRR (2024)
Michal Perelkiewicz, Rafal Poswiata, Jakub Kierzkowski
Unsupervised Representation Learning: Target Regularization for Cross-Domain Sentiment Classification. ICAISC (1) (2023)
Rafal Poswiata, Michal Perelkiewicz
OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models. LT-EDI (2022)
Rafal Poswiata, Michal Perelkiewicz
Annobot: Platform for Annotating and Creating Datasets through Conversation with a Chatbot. COLING (Demonstrations) (2020)
Slawomir Dadas, Michal Perelkiewicz, Rafal Poswiata
Pre-training Polish Transformer-based Language Models at Scale. CoRR (2020)
Slawomir Dadas, Michal Perelkiewicz, Rafal Poswiata
Pre-training Polish Transformer-Based Language Models at Scale. ICAISC (2) (2020)
Slawomir Dadas, Michal Perelkiewicz, Rafal Poswiata
Evaluation of Sentence Representations in Polish. LREC (2020)
Michal Perelkiewicz, Rafal Poswiata
Text Language Identification Using Attention-Based Recurrent Neural Networks. ICAISC (1) (2019)
Slawomir Dadas, Michal Perelkiewicz, Rafal Poswiata
Evaluation of Sentence Representations in Polish. CoRR (2019)
Rafal Poswiata, Michal Perelkiewicz
Numbers Normalisation in the Inflected Languages: a Case Study of Polish. BSNLP@ACL (2019)
Michal Perelkiewicz
CX-ST-RNM at SemEval-2019 Task 3: Fusion of Recurrent Neural Networks Based on Contextualized and Static Word Representations for Contextual Emotion Detection. SemEval@NAACL-HLT (2019)
Marcin Mironczuk, Michal Perelkiewicz, Jaroslaw Protasiewicz
Detection of the Innovative Logotypes on the Web Pages. ICAISC (2) (2017)