Ivan Sekulić
Ivan Sekulić
Senior Research Engineer, Telepathy Labs
Verified email at - Homepage
Cited by
Cited by
Reasoning with latent structure refinement for document-level relation extraction
G Nan, Z Guo, I Sekulić, W Lu
ACL 2020, 1546-1557, 2020
Adapting Deep Learning Methods for Mental Health Prediction on Social Media
I Sekulić, M Strube
Proceedings of the 2019 EMNLP Workshop W-NUT: The 5th Workshop on Noisy User …, 2019
Takelab at semeval-2016 task 6: Stance classification in tweets using a genetic algorithm based ensemble
M Tutek, I Sekulić, P Gombar, I Paljak, F Čulinović, F Boltužić, M Karan, ...
Proceedings of the 10th international workshop on semantic evaluation …, 2016
Evaluating mixed-initiative conversational search systems via user simulation
I Sekulić, M Aliannejadi, F Crestani
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
Not just depressed: Bipolar disorder prediction on reddit
I Sekulić, M Gjurković, J Šnajder
In Proceedings of EMNLP 2018 Workshop WASSA: The 9th Workshop on …, 2018
Towards facet-driven generation of clarifying questions for conversational search
I Sekulić, M Aliannejadi, F Crestani
Proceedings of the 2021 ACM SIGIR international conference on theory of …, 2021
User engagement prediction for clarification in search
I Sekulić, M Aliannejadi, F Crestani
Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021
Longformer for ms marco document re-ranking task
I Sekulić, A Soleimani, M Aliannejadi, F Crestani
arXiv preprint arXiv:2009.09392, 2020
Exploiting simulated user feedback for conversational search: Ranking, rewriting, and beyond
P Owoicho, I Sekulic, M Aliannejadi, J Dalton, F Crestani
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
Exploiting document-based features for clarification in conversational search
I Sekulić, M Aliannejadi, F Crestani
European Conference on Information Retrieval, 413-427, 2022
Extending the Use of Previous Relevant Utterances for Response Ranking in Conversational Search.
I Sekulic, F Crestani, M Aliannejadi
TREC, 2020
GRM: generative relevance modeling using relevance-aware sample estimation for document retrieval
I Mackie, I Sekulic, S Chatterjee, J Dalton, F Crestani
arXiv preprint arXiv:2306.09938, 2023
Towards self-contained answers: Entity-based answer rewriting in conversational search
I Sekulic, K Balog, F Crestani
Proceedings of the 2024 Conference on Human Information Interaction and …, 2024
Reliable LLM-based User Simulator for Task-Oriented Dialogue Systems
I Sekulić, S Terragni, V Guimarães, N Khau, B Guedes, M Filipavicius, ...
arXiv preprint arXiv:2402.13374, 2024
Integrating Subgraph-Aware Relation and Direction Reasoning for Question Answering
X Wang, S Zhao, B Cheng, J Han, L Yingting, H Yang, I Sekulic, G Nan
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Analysing utterances in llm-based user simulation for conversational search
I Sekulić, M Alinannejadi, F Crestani
ACM Transactions on Intelligent Systems and Technology 15 (3), 1-22, 2024
Analyzing Coherency in Facet-based Clarification Prompt Generation for Search
O Litvinov, I Sekulić, M Aliannejadi, F Crestani
arXiv preprint arXiv:2401.04524, 2024
The University of Stavanger (IAI) at the TREC 2022 Conversational Assistance Track
W Lajewska, N Bernard, I Kostric, I Sekulic, K Balog
TREC 2022 Conversational Assistance Track, 2022
Estimating the Usefulness of Clarifying Questions and Answers for Conversational Search
I Sekulić, W Łajewska, K Balog, F Crestani
European Conference on Information Retrieval, 384-392, 2024
Clarification and user simulation in mixed-initiative conversational search
I Sekulić
PhD Dissertation, 2024
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