Angelika Peljak-Łapińska


2024

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Polish Coreference Corpus as an LLM Testbed: Evaluating Coreference Resolution within Instruction-Following Language Models by Instruction–Answer Alignment
Karol Saputa | Angelika Peljak-Łapińska | Maciej Ogrodniczuk
Proceedings of The Seventh Workshop on Computational Models of Reference, Anaphora and Coreference

2022

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DiaBiz – an Annotated Corpus of Polish Call Center Dialogs
Piotr Pęzik | Gosia Krawentek | Sylwia Karasińska | Paweł Wilk | Paulina Rybińska | Anna Cichosz | Angelika Peljak-Łapińska | Mikołaj Deckert | Michał Adamczyk
Proceedings of the Thirteenth Language Resources and Evaluation Conference

This paper introduces DiaBiz, a large, annotated, multimodal corpus of Polish telephone conversations conducted in varied business settings, comprising 4036 call centre interactions from nine different domains, i.e. banking, energy services, telecommunications, insurance, medical care, debt collection, tourism, retail and car rental. The corpus was developed to boost the development of third-party speech recognition engines, dialog systems and conversational intelligence tools for Polish. Its current size amounts to nearly 410 hours of recordings and over 3 million words of transcribed speech. We present the structure of the corpus, data collection and transcription procedures, challenges of punctuating and truecasing speech transcripts, dialog structure annotation and discuss some of the ecological validity considerations involved in the development of such resources.