Ivan Sekulic

According to our database, Ivan Sekulic authored at least 28 papers between 2015 and 2024.

Collaborative distances:

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

2024

Analysing Utterances in LLM-Based User Simulation for Conversational Search.

Ivan Sekulic, Mohammad Aliannejadi, Fabio Crestani

ACM Trans. Intell. Syst. Technol., June, 2024

Reliable LLM-based User Simulator for Task-Oriented Dialogue Systems.

Ivan Sekulic, Silvia Terragni, Victor Guimarães, Nghia Khau, Bruna Guedes, Modestas Filipavicius, André Ferreira Manso, Roland Mathis

CoRR, 2024

Analyzing Coherency in Facet-based Clarification Prompt Generation for Search.

Oleg Litvinov, Ivan Sekulic, Mohammad Aliannejadi, Fabio Crestani

CoRR, 2024

Estimating the Usefulness of Clarifying Questions and Answers for Conversational Search.

Ivan Sekulic, Weronika Lajewska, Krisztian Balog, Fabio Crestani

Proceedings of the Advances in Information Retrieval, 2024

Towards Self-Contained Answers: Entity-Based Answer Rewriting in Conversational Search.

Ivan Sekulic, Krisztian Balog, Fabio Crestani

Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval, 2024

2023

Review and experimental benchmarking of machine learning algorithms for efficient optimization of cold atom experiments.

Oliver Anton, Victoria A. Henderson, Elisa Da Ros, Ivan Sekulic, Sven Burger, Philipp-Immanuel Schneider, Markus Krutzik

CoRR, 2023

GRM: Generative Relevance Modeling Using Relevance-Aware Sample Estimation for Document Retrieval.

Iain Mackie, Ivan Sekulic, Shubham Chatterjee, Jeffrey Dalton, Fabio Crestani

CoRR, 2023

Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond.

Paul Owoicho, Ivan Sekulic, Mohammad Aliannejadi, Jeffrey Dalton, Fabio Crestani

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

Evaluating Mixed-initiative Conversational Search Systems via User Simulation.

Ivan Sekulic, Mohammad Aliannejadi, Fabio Crestani

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

The University of Stavanger (IAI) at the TREC 2022 Conversational Assistance Track.

Weronika Lajewska, Nolwenn Bernard, Ivica Kostric, Ivan Sekulic, Krisztian Balog

Proceedings of the Thirty-First Text REtrieval Conference, 2022

Exploiting Document-Based Features for Clarification in Conversational Search.

Ivan Sekulic, Mohammad Aliannejadi, Fabio Crestani

Proceedings of the Advances in Information Retrieval, 2022

2021

Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering.

Xu Wang, Shuai Zhao, Bo Cheng, Jiale Han, Yingting Li, Hao Yang, Ivan Sekulic, Guoshun Nan

CoRR, 2021

Towards Facet-Driven Generation of Clarifying Questions for Conversational Search.

Ivan Sekulic, Mohammad Aliannejadi, Fabio Crestani

Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

Integrating Subgraph-Aware Relation and Direction Reasoning for Question Answering.

Xu Wang, Shuai Zhao, Bo Cheng, Jiale Han, Yingting Li, Hao Yang, Ivan Sekulic, Guoshun Nan

Proceedings of the IEEE International Conference on Acoustics, 2021

User Engagement Prediction for Clarification in Search.

Ivan Sekulic, Mohammad Aliannejadi, Fabio Crestani

Proceedings of the Advances in Information Retrieval, 2021

2020

Accurate, grid-robust and versatile combined-field discretization for the electromagnetic scattering analysis of perfectly conducting targets.

Eduard Ubeda, Ivan Sekulic, Juan Manuel Rius, Alexander Heldring

J. Comput. Phys., 2020

Longformer for MS MARCO Document Re-ranking Task.

Ivan Sekulic, Fabio Crestani, Amir Soleimani, Mohammad Aliannejadi

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Extending the Use of Previous Relevant Utterances for Response Ranking in Conversational Search.

Ivan Sekulic, Fabio Crestani, Mohammad Aliannejadi

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Reasoning with Latent Structure Refinement for Document-Level Relation Extraction.

Guoshun Nan, Zhijiang Guo, Ivan Sekulic, Wei Lu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Advanced discontinuous integral-equation schemes for the versatile electromagnetic analysis of complex structures.

Ivan Sekulic

PhD thesis, 2019

Adapting Deep Learning Methods for Mental Health Prediction on Social Media.

Ivan Sekulic, Michael Strube

Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

2018

Versatile and accurate schemes of discretization for the electromagnetic scattering analysis of arbitrarily shaped piecewise homogeneous objects.

Ivan Sekulic, Eduard Ubeda, Juan Manuel Rius

J. Comput. Phys., 2018

Not Just Depressed: Bipolar Disorder Prediction on Reddit.

Ivan Sekulic, Matej Gjurkovic, Jan Snajder

Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

2017

GNSS-R Altimetry Performance Analysis for the GEROS Experiment on Board the International Space Station.

Adriano Camps, Hyuk Park, Ivan Sekulic, Juan Manuel Rius

Sensors, 2017

2016

TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble.

Martin Tutek, Ivan Sekulic, Paula Gombar, Ivan Paljak, Filip Culinovic, Filip Boltuzic, Mladen Karan, Domagoj Alagic, Jan Snajder

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

VerbCROcean: A Repository of Fine-Grained Semantic Verb Relations for Croatian.

Ivan Sekulic, Jan Snajder

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Impact of multi-path by ISS structure on GEROS-ISS measured waveforms.

Hyuk Park, Adriano Camps, Ivan Sekulic, Juan Manuel Rius, Daniel Pascual, Alberto Alonso Arroyo, Jorge Querol, Raul Onrubia

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

GEROS-ISS, a demonstration mission of GNSS remote sensing capabilities to derive geophysical parameters of the earth surfaces: Altimetry performance evaluation.

Adriano Camps, Hyuk Park, Ali Ghavidel, Juan Manuel Rius, Ivan Sekulic

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015