MBT: A Memory-Based Part of Speech Tagger-Generator. - Walter Daelemans; Jakub Zavrel; Peter Berck; Steven Gillis (VLC@COLING, 1996)

Neural Navigation Interfaces for Information Retrieval: Are They More than an Appealing Idea? - Jakub Zavrel (Artif. Intell. Rev., 1996)

Memory-Based Learning: Using Similarity for Smoothing. - Jakub Zavrel; Walter Daelemans (ACL, 1997)

Resolving PP attachment Ambiguities with Memory-Based Learning. - Jakub Zavrel; Walter Daelemans; Jorn Veenstra (CoNLL, 1997)

Improving Data Driven Wordclass Tagging by System Combination. - Hans van Halteren; Jakub Zavrel; Walter Daelemans (COLING-ACL, 1998)

Lemmatisation and morphosyntactic annotation for the spoken Dutch corpus. - Frank Van Eynde; Jakub Zavrel; Walter Daelemans (CLIN, 1999)

Forgetting Exceptions is Harmful in Language Learning. - Walter Daelemans; Antal van den Bosch; Jakub Zavrel (Mach. Learn., 1999)

Genetic Algorithms for Feature Relevance Assignment in Memory-Based Language Processing. - Anne Kool; Walter Daelemans; Jakub Zavrel (CoNLL/LLL, 2000)

Unpacking Multi-valued Symbolic Features and Classes in Memory-Based Language Learning. - Antal van den Bosch; Jakub Zavrel (ICML, 2000)

Morphosyntactic Tagging of Slovene: Evaluating Taggers and Tagsets. - Saso Dzeroski; Tomaz Erjavec; Jakub Zavrel (LREC, 2000)

Part of Speech Tagging and Lemmatisation for the Spoken Dutch Corpus. - Frank Van Eynde; Jakub Zavrel; Walter Daelemans (LREC, 2000)

Bootstrapping a Tagged Corpus through Combination of Existing Heterogeneous Taggers. - Jakub Zavrel; Walter Daelemans (LREC, 2000)

Memory-Based Word Sense Disambiguation. - Jorn Veenstra; Antal van den Bosch; Sabine Buchholz; Walter Daelemans; Jakub Zavrel (Comput. Humanit., 2000)

Improving Accuracy in NLP Through Combination of Machine Learning Systems. - Hans van Halteren; Jakub Zavrel; Walter Daelemans (Comput. Linguistics, 2001)

Feature-Rich Memory-Based Classification for Shallow NLP and Information Extraction. - Jakub Zavrel; Walter Daelemans (Text Mining, 2003)

Learning to Compose Effective Strategies from a Library of Dialogue Components. - Martijn Spitters; Marco De Boni; Jakub Zavrel; Remko Bonnema (ACL, 2007)

Learning effective and engaging strategies for advice-giving human-machine dialogue. - Martijn Spitters; Marco De Boni; Jakub Zavrel; Remko Bonnema (Nat. Lang. Eng., 2009)

Effective distributed representations for academic expert search. - Mark Berger; Jakub Zavrel; Paul Groth (SDP@EMNLP, 2020)

A New Neural Search and Insights Platform for Navigating and Organizing AI Research. - Marzieh Fadaee; Olga Gureenkova; Fernando Rejon Barrera; Carsten Schnober; Wouter Weerkamp; Jakub Zavrel (SDP@EMNLP, 2020)

Building a Platform for Ensemble-based Personalized Research Literature Recommendations for AI and Data Science at Zeta Alpha. - Jakub Zavrel; Artem Grotov; Jonathan Mitnik (RecSys, 2021)

Multi-objective Representation Learning for Scientific Document Retrieval. - Mathias Parisot; Jakub Zavrel (SDP@COLING, 2022)

Knowledge Discovery in the Age of LLMs. - Jakub Zavrel (BIR@ECIR, 2023)

InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval. - Vitor Jeronymo; Luiz Henrique Bonifacio; Hugo Queiroz Abonizio; Marzieh Fadaee; Roberto A. Lotufo; Jakub Zavrel; Rodrigo Nogueira 001 (CoRR, 2023)

InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval. - Hugo Queiroz Abonizio; Luiz Henrique Bonifacio; Vitor Jeronymo; Roberto A. Lotufo; Jakub Zavrel; Rodrigo Nogueira 001 (CoRR, 2023)

SumBlogger: Abstractive Summarization of Large Collections of Scientific Articles. - Pavlos Zakkas; Suzan Verberne; Jakub Zavrel (ECIR (1), 2024)

Evaluating RAG-Fusion with RAGElo: an Automated Elo-based Framework. - Zackary Rackauckas; Arthur Câmara; Jakub Zavrel (LLM4Eval@SIGIR, 2024)