Jakub Zavrel

According to our database, Jakub Zavrel authored at least 25 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SumBlogger: Abstractive Summarization of Large Collections of Scientific Articles.

Pavlos Zakkas, Suzan Verberne, Jakub Zavrel

Proceedings of the Advances in Information Retrieval, 2024

2023

InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval.

Hugo Queiroz Abonizio, Luiz Henrique Bonifacio, Vitor Jeronymo, Roberto de Alencar Lotufo, Jakub Zavrel, Rodrigo Frassetto Nogueira

CoRR, 2023

InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval.

Vitor Jeronymo, Luiz Henrique Bonifacio, Hugo Queiroz Abonizio, Marzieh Fadaee, Roberto de Alencar Lotufo, Jakub Zavrel, Rodrigo Frassetto Nogueira

CoRR, 2023

Knowledge Discovery in the Age of LLMs.

Jakub Zavrel

Proceedings of the 13th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 45th European Conference on Information Retrieval (ECIR 2023), 2023

2022

Multi-objective Representation Learning for Scientific Document Retrieval.

Mathias Parisot, Jakub Zavrel

Proceedings of the Third Workshop on Scholarly Document Processing, 2022

2021

Building a Platform for Ensemble-based Personalized Research Literature Recommendations for AI and Data Science at Zeta Alpha.

Jakub Zavrel, Artem Grotov, Jonathan Mitnik

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

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

Proceedings of the First Workshop on Scholarly Document Processing, 2020

Effective distributed representations for academic expert search.

Mark Berger, Jakub Zavrel, Paul Groth

Proceedings of the First Workshop on Scholarly Document Processing, 2020

2009

Learning effective and engaging strategies for advice-giving human-machine dialogue.

Martijn Spitters, Marco De Boni, Jakub Zavrel, Remko Bonnema

Nat. Lang. Eng., 2009

2007

Learning to Compose Effective Strategies from a Library of Dialogue Components.

Martijn Spitters, Marco De Boni, Jakub Zavrel, Remko Bonnema

Proceedings of the ACL 2007, 2007

2003

Feature-Rich Memory-Based Classification for Shallow NLP and Information Extraction.

Jakub Zavrel, Walter Daelemans

Proceedings of the Text Mining, Theoretical Aspects and Applications, 2003

2001

Improving Accuracy in NLP Through Combination of Machine Learning Systems.

Hans van Halteren, Jakub Zavrel, Walter Daelemans

Comput. Linguistics, 2001

2000

Memory-Based Word Sense Disambiguation.

Jorn Veenstra, Antal van den Bosch, Sabine Buchholz, Walter Daelemans, Jakub Zavrel

Comput. Humanit., 2000

Bootstrapping a Tagged Corpus through Combination of Existing Heterogeneous Taggers.

Jakub Zavrel, Walter Daelemans

Proceedings of the Second International Conference on Language Resources and Evaluation, 2000

Part of Speech Tagging and Lemmatisation for the Spoken Dutch Corpus.

Frank Van Eynde, Jakub Zavrel, Walter Daelemans

Proceedings of the Second International Conference on Language Resources and Evaluation, 2000

Morphosyntactic Tagging of Slovene: Evaluating Taggers and Tagsets.

Saso Dzeroski, Tomaz Erjavec, Jakub Zavrel

Proceedings of the Second International Conference on Language Resources and Evaluation, 2000

Unpacking Multi-valued Symbolic Features and Classes in Memory-Based Language Learning.

Antal van den Bosch, Jakub Zavrel

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Genetic Algorithms for Feature Relevance Assignment in Memory-Based Language Processing.

Anne Kool, Walter Daelemans, Jakub Zavrel

Proceedings of the Fourth Conference on Computational Natural Language Learning, 2000

1999

Forgetting Exceptions is Harmful in Language Learning.

Walter Daelemans, Antal van den Bosch, Jakub Zavrel

Mach. Learn., 1999

Lemmatisation and morphosyntactic annotation for the spoken Dutch corpus.

Frank Van Eynde, Jakub Zavrel, Walter Daelemans

Proceedings of the Computational Linguistics in the Netherlands 1999, 1999

1998

Improving Data Driven Wordclass Tagging by System Combination.

Hans van Halteren, Jakub Zavrel, Walter Daelemans

Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, 1998

1997

Resolving PP attachment Ambiguities with Memory-Based Learning.

Jakub Zavrel, Walter Daelemans, Jorn Veenstra

Proceedings of the 1997 Meeting of the ACL Special Interest Group in Natural Language Learning: Computational Natural Language Learning, 1997

Memory-Based Learning: Using Similarity for Smoothing.

Jakub Zavrel, Walter Daelemans

Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and 8th Conference of the European Chapter of the Association for Computational Linguistics, 1997

1996

Neural Navigation Interfaces for Information Retrieval: Are They More than an Appealing Idea?

Jakub Zavrel

Artif. Intell. Rev., 1996

MBT: A Memory-Based Part of Speech Tagger-Generator.

Walter Daelemans, Jakub Zavrel, Peter Berck, Steven Gillis

Proceedings of the Fourth Workshop on Very Large Corpora, 1996