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Krisztian Balog
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- affiliation: University of Stavanger, Norway
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2020 – today
- 2024
- [j30]Martin G. Skjæveland, Krisztian Balog, Nolwenn Bernard, Weronika Lajewska, Trond Linjordet:
An ecosystem for personal knowledge graphs: A survey and research roadmap. AI Open 5: 55-69 (2024) - [j29]Krisztian Balog, ChengXiang Zhai:
User Simulation for Evaluating Information Access Systems. Found. Trends Inf. Retr. 18(1-2): 1-261 (2024) - [j28]Darío Garigliotti, Krisztian Balog, Katja Hose, Johannes Bjerva:
Recommending tasks based on search queries and missions. Nat. Lang. Eng. 30(3): 577-601 (2024) - [j27]Ivica Kostric, Krisztian Balog, Filip Radlinski:
Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems. Trans. Recomm. Syst. 2(2): 12:1-12:24 (2024) - [c159]Ivan Sekulic, Krisztian Balog, Fabio Crestani:
Towards Self-Contained Answers: Entity-Based Answer Rewriting in Conversational Search. CHIIR 2024: 209-218 - [c158]Nolwenn Bernard, Krisztian Balog:
Identifying Breakdowns in Conversational Recommender Systems using User Simulation. CUI 2024: 26 - [c157]Weronika Lajewska, Krisztian Balog:
Towards Reliable and Factual Response Generation: Detecting Unanswerable Questions in Information-Seeking Conversations. ECIR (3) 2024: 336-344 - [c156]Ivan Sekulic, Weronika Lajewska, Krisztian Balog, Fabio Crestani:
Estimating the Usefulness of Clarifying Questions and Answers for Conversational Search. ECIR (3) 2024: 384-392 - [c155]Nolwenn Bernard, Krisztian Balog:
Towards a Formal Characterization of User Simulation Objectives in Conversational Information Access. ICTIR 2024: 185-193 - [c154]Simone Borg Bruun, Krisztian Balog, Maria Maistro:
Dataset and Models for Item Recommendation Using Multi-Modal User Interactions. SIGIR 2024: 709-718 - [c153]Weronika Lajewska, Damiano Spina, Johanne Trippas, Krisztian Balog:
Explainability for Transparent Conversational Information-Seeking. SIGIR 2024: 1040-1050 - [c152]Ivica Kostric, Krisztian Balog:
A Surprisingly Simple yet Effective Multi-Query Rewriting Method for Conversational Passage Retrieval. SIGIR 2024: 2271-2275 - [c151]Philipp Schaer, Christin Katharina Kreutz, Krisztian Balog, Timo Breuer, Norbert Fuhr:
SIGIR 2024 Workshop on Simulations for Information Access (Sim4IA 2024). SIGIR 2024: 3058-3061 - [c150]Weronika Lajewska, Krisztian Balog, Damiano Spina, Johanne Trippas:
Can Users Detect Biases or Factual Errors in Generated Responses in Conversational Information-Seeking? SIGIR-AP 2024: 92-102 - [c149]Nolwenn Bernard, Ivica Kostric, Krisztian Balog:
IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User Modeling. WSDM 2024: 1042-1045 - [c148]Nolwenn Bernard, Ivica Kostric, Weronika Lajewska, Krisztian Balog, Petra Galuscáková, Vinay Setty, Martin G. Skjæveland:
PKG API: A Tool for Personal Knowledge Graph Management. WWW (Companion Volume) 2024: 1051-1054 - [c147]Krisztian Balog, ChengXiang Zhai:
Tutorial on User Simulation for Evaluating Information Access Systems on the Web. WWW (Companion Volume) 2024: 1254-1257 - [i68]Weronika Lajewska, Krisztian Balog:
Towards Reliable and Factual Response Generation: Detecting Unanswerable Questions in Information-Seeking Conversations. CoRR abs/2401.11452 (2024) - [i67]Ivan Sekulic, Weronika Lajewska, Krisztian Balog, Fabio Crestani:
Estimating the Usefulness of Clarifying Questions and Answers for Conversational Search. CoRR abs/2401.11463 (2024) - [i66]Nolwenn Bernard, Ivica Kostric, Weronika Lajewska, Krisztian Balog, Petra Galuscáková, Vinay Setty, Martin G. Skjæveland:
PKG API: A Tool for Personal Knowledge Graph Management. CoRR abs/2402.07540 (2024) - [i65]Nolwenn Bernard, Ivica Kostric, Krisztian Balog:
IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User Modeling. CoRR abs/2403.00520 (2024) - [i64]Ivan Sekulic, Krisztian Balog, Fabio Crestani:
Towards Self-Contained Answers: Entity-Based Answer Rewriting in Conversational Search. CoRR abs/2403.01747 (2024) - [i63]Weronika Lajewska, Damiano Spina, Johanne Trippas, Krisztian Balog:
Explainability for Transparent Conversational Information-Seeking. CoRR abs/2405.03303 (2024) - [i62]Simone Borg Bruun, Krisztian Balog, Maria Maistro:
Dataset and Models for Item Recommendation Using Multi-Modal User Interactions. CoRR abs/2405.04246 (2024) - [i61]Nolwenn Bernard, Krisztian Balog:
Identifying Breakdowns in Conversational Recommender Systems using User Simulation. CoRR abs/2405.14249 (2024) - [i60]Ivica Kostric, Krisztian Balog:
A Surprisingly Simple yet Effective Multi-Query Rewriting Method for Conversational Passage Retrieval. CoRR abs/2406.18960 (2024) - [i59]Nolwenn Bernard, Krisztian Balog:
Towards a Formal Characterization of User Simulation Objectives in Conversational Information Access. CoRR abs/2406.19007 (2024) - [i58]Krisztian Balog, John Palowitch, Barbara Ikica, Filip Radlinski, Hamidreza Alvari, Mehdi Manshadi:
Towards Realistic Synthetic User-Generated Content: A Scaffolding Approach to Generating Online Discussions. CoRR abs/2408.08379 (2024) - [i57]Weronika Lajewska, Krisztian Balog, Damiano Spina, Johanne Trippas:
Can Users Detect Biases or Factual Errors in Generated Responses in Conversational Information-Seeking? CoRR abs/2410.21529 (2024) - [i56]Nolwenn Bernard, Hideaki Joko, Faegheh Hasibi, Krisztian Balog:
CRS Arena: Crowdsourced Benchmarking of Conversational Recommender Systems. CoRR abs/2412.10514 (2024) - 2023
- [c146]Krisztian Balog, Filip Radlinski, Andrey Petrov:
Measuring the Impact of Explanation Bias: A Study of Natural Language Justifications for Recommender Systems. CHI Extended Abstracts 2023: 203:1-203:8 - [c145]Krisztian Balog, ChengXiang Zhai:
Tutorial on User Simulation for Evaluating Information Access Systems. CIKM 2023: 5200-5203 - [c144]Weronika Lajewska, Krisztian Balog:
Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation. CIKM 2023: 5326-5330 - [c143]Weronika Lajewska, Krisztian Balog:
From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track. ECIR (3) 2023: 177-191 - [c142]Scott Sanner, Krisztian Balog, Filip Radlinski, Ben Wedin, Lucas Dixon:
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences. RecSys 2023: 890-896 - [c141]Oana Inel, Nicolas Mattis, Milda Norkute, Alessandro Piscopo, Timothée Schmude, Sanne Vrijenhoek, Krisztian Balog:
QUARE: 2nd Workshop on Measuring the Quality of Explanations in Recommender Systems. RecSys 2023: 1241-1243 - [c140]Arun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski:
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset. SIGIR 2023: 2754-2764 - [c139]Nolwenn Bernard, Krisztian Balog:
MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce. SIGIR 2023: 2775-2785 - [c138]Krisztian Balog, ChengXiang Zhai:
Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond. SIGIR-AP 2023: 302-305 - [c137]Jafar Afzali, Aleksander Mark Drzewiecki, Krisztian Balog, Shuo Zhang:
UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender Systems. WSDM 2023: 1160-1163 - [i55]Jafar Afzali, Aleksander Mark Drzewiecki, Krisztian Balog, Shuo Zhang:
UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender Systems. CoRR abs/2301.05544 (2023) - [i54]Weronika Lajewska, Krisztian Balog:
From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track. CoRR abs/2301.10493 (2023) - [i53]Megan Leszczynski, Ravi Ganti, Shu Zhang, Krisztian Balog, Filip Radlinski, Fernando Pereira, Arun Tejasvi Chaganty:
Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models. CoRR abs/2301.11489 (2023) - [i52]Arun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski:
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset. CoRR abs/2303.06791 (2023) - [i51]Krisztian Balog, Filip Radlinski, Andrey Petrov:
Measuring the Impact of Explanation Bias: A Study of Natural Language Justifications for Recommender Systems. CoRR abs/2303.09498 (2023) - [i50]Martin G. Skjæveland, Krisztian Balog, Nolwenn Bernard, Weronika Lajewska, Trond Linjordet:
An Ecosystem for Personal Knowledge Graphs: A Survey and Research Roadmap. CoRR abs/2304.09572 (2023) - [i49]Nolwenn Bernard, Krisztian Balog:
MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce. CoRR abs/2304.12636 (2023) - [i48]Krisztian Balog, ChengXiang Zhai:
User Simulation for Evaluating Information Access Systems. CoRR abs/2306.08550 (2023) - [i47]Scott Sanner, Krisztian Balog, Filip Radlinski, Ben Wedin, Lucas Dixon:
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences. CoRR abs/2307.14225 (2023) - [i46]Weronika Lajewska, Krisztian Balog:
Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation. CoRR abs/2308.08911 (2023) - 2022
- [j26]Krisztian Balog, Paramita Mirza, Martin G. Skjæveland, Zhilin Wang:
Report on the Workshop on Personal Knowledge Graphs (PKG 2021) at AKBC 2021. SIGIR Forum 56(1): 4:1-4:11 (2022) - [j25]Krisztian Balog, Kjetil Nørvåg, Vinay Setty:
Report on the 44th European Conference on Information Retrieval (ECIR 2022): The First Major Hybrid IR Conference. SIGIR Forum 56(1): 8:1-8:12 (2022) - [j24]Alessandro Piscopo, Oana Inel, Sanne Vrijenhoek, Martijn Millecamp, Krisztian Balog:
Report on the 1st Workshop on Measuring the Quality of Explanations in Recommender Systems (QUARE 2022) at SIGIR 2022. SIGIR Forum 56(2): 11:1-11:16 (2022) - [c136]Trond Linjordet, Krisztian Balog, Vinay Setty:
Towards Formally Grounded Evaluation Measures for Semantic Parsing-based Knowledge Graph Question Answering. ICTIR 2022: 3-12 - [c135]Ivica Kostric, Krisztian Balog, Tølløv Alexander Aresvik, Nolwenn Bernard, Eyvinn Thu Dørheim, Pholit Hantula, Sander Havn-Sørensen, Rune Henriksen, Hengameh Hosseini, Ekaterina Khlybova, Weronika Lajewska, Sindre Ekrheim Mosand, Narmin Orujova:
DAGFiNN: A Conversational Conference Assistant. RecSys 2022: 628-631 - [c134]Shuo Zhang, Mu-Chun Wang, Krisztian Balog:
Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems. SIGIR 2022: 133-143 - [c133]Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin:
On Natural Language User Profiles for Transparent and Scrutable Recommendation. SIGIR 2022: 2863-2874 - [c132]Trond Linjordet, Krisztian Balog:
Would You Ask it that Way?: Measuring and Improving Question Naturalness for Knowledge Graph Question Answering. SIGIR 2022: 3090-3098 - [c131]Alessandro Piscopo, Oana Inel, Sanne Vrijenhoek, Martijn Millecamp, Krisztian Balog:
QUARE: 1st Workshop on Measuring the Quality of Explanations in Recommender Systems. SIGIR 2022: 3478-3481 - [c130]Weronika Lajewska, Nolwenn Bernard, Ivica Kostric, Ivan Sekulic, Krisztian Balog:
The University of Stavanger (IAI) at the TREC 2022 Conversational Assistance Track. TREC 2022 - [e8]Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil Nørvåg, Vinay Setty:
Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13185, Springer 2022, ISBN 978-3-030-99735-9 [contents] - [e7]Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil Nørvåg, Vinay Setty:
Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13186, Springer 2022, ISBN 978-3-030-99738-0 [contents] - [i45]Christin Katharina Kreutz, Krisztian Balog, Ralf Schenkel:
Diverse Reviewer Suggestion for Extending Conference Program Committees. CoRR abs/2201.11030 (2022) - [i44]Shuo Zhang, Mu-Chun Wang, Krisztian Balog:
Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems. CoRR abs/2205.01763 (2022) - [i43]Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin:
On Natural Language User Profiles for Transparent and Scrutable Recommendation. CoRR abs/2205.09403 (2022) - [i42]Trond Linjordet, Krisztian Balog:
Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering. CoRR abs/2205.12768 (2022) - [i41]Ivica Kostric, Krisztian Balog, Tølløv Alexander Aresvik, Nolwenn Bernard, Eyvinn Thu Dørheim, Pholit Hantula, Sander Havn-Sørensen, Rune Henriksen, Hengameh Hosseini, Ekaterina Khlybova, Weronika Lajewska, Sindre Ekrheim Mosand, Narmin Orujova:
DAGFiNN: A Conversational Conference Assistant. CoRR abs/2211.16281 (2022) - 2021
- [j23]Krisztian Balog, David Maxwell, Paul Thomas, Shuo Zhang:
Report on the 1st simulation for information retrieval workshop (Sim4IR 2021) at SIGIR 2021. SIGIR Forum 55(2): 10:1-10:16 (2021) - [j22]Shuo Zhang, Krisztian Balog:
Semantic Table Retrieval Using Keyword and Table Queries. ACM Trans. Web 15(3): 11:1-11:33 (2021) - [c129]Krisztian Balog:
Conversational AI from an Information Retrieval Perspective: Remaining Challenges and a Case for User Simulation. DESIRES 2021: 80-90 - [c128]Ivica Kostric, Krisztian Balog, Filip Radlinski:
Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions. RecSys 2021: 724-729 - [c127]Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou:
On Interpretation and Measurement of Soft Attributes for Recommendation. SIGIR 2021: 890-899 - [c126]Hideaki Joko, Faegheh Hasibi, Krisztian Balog, Arjen P. de Vries:
Conversational Entity Linking: Problem Definition and Datasets. SIGIR 2021: 2390-2397 - [c125]Jafar Afzali, Aleksander Mark Drzewiecki, Krisztian Balog:
POINTREC: A Test Collection for Narrative-driven Point of Interest Recommendation. SIGIR 2021: 2478-2484 - [c124]Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke:
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. SIGIR 2021: 2499-2506 - [c123]Krisztian Balog, David Maxwell, Paul Thomas, Shuo Zhang:
Sim4IR: The SIGIR 2021 Workshop on Simulation for Information Retrieval Evaluation. SIGIR 2021: 2697-2698 - [c122]Ivica Kostric, Krisztian Balog, Magnus Book, Trond Linjordet, Vinay Setty:
The University of Stavanger (IAI) at the TREC 2021 Conversational Assistance Track. TREC 2021 - [c121]Christin Katharina Kreutz, Krisztian Balog, Ralf Schenkel:
Diverse Reviewer Suggestion for Extending Conference Program Committees. WI/IAT 2021: 79-86 - [i40]Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke:
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. CoRR abs/2105.03748 (2021) - [i39]Hideaki Joko, Faegheh Hasibi, Krisztian Balog, Arjen P. de Vries:
Conversational Entity Linking: Problem Definition and Datasets. CoRR abs/2105.04903 (2021) - [i38]Shuo Zhang, Krisztian Balog:
Semantic Table Retrieval using Keyword and Table Queries. CoRR abs/2105.06365 (2021) - [i37]Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou:
On Interpretation and Measurement of Soft Attributes for Recommendation. CoRR abs/2105.09179 (2021) - [i36]Jafar Afzali, Aleksander Mark Drzewiecki, Krisztian Balog:
POINTREC: A Test Collection for Narrative-driven Point of Interest Recommendation. CoRR abs/2105.09204 (2021) - [i35]Vinay Setty, Krisztian Balog:
Semantic Answer Type Prediction using BERT: IAI at the ISWC SMART Task 2020. CoRR abs/2109.06714 (2021) - [i34]Ivica Kostric, Krisztian Balog, Filip Radlinski:
Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions. CoRR abs/2111.13463 (2021) - 2020
- [j21]Shuo Zhang, Krisztian Balog:
Web Table Extraction, Retrieval, and Augmentation: A Survey. ACM Trans. Intell. Syst. Technol. 11(2): 13:1-13:35 (2020) - [c120]Shuo Zhang, Krisztian Balog, Jamie Callan:
Generating Categories for Sets of Entities. CIKM 2020: 1833-1842 - [c119]Kristian Gingstad, Øyvind Jekteberg, Krisztian Balog:
ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation. CIKM 2020: 3393-3396 - [c118]Javeria Habib, Shuo Zhang, Krisztian Balog:
IAI MovieBot: A Conversational Movie Recommender System. CIKM 2020: 3405-3408 - [c117]Trond Linjordet, Krisztian Balog:
Sanitizing Synthetic Training Data Generation for Question Answering over Knowledge Graphs. ICTIR 2020: 121-128 - [c116]Shuo Zhang, Krisztian Balog:
Evaluating Conversational Recommender Systems via User Simulation. KDD 2020: 1512-1520 - [c115]Vinay Setty, Krisztian Balog:
Semantic Answer Type Prediction using BERT IAI at the ISWC SMART Task 2020. SMART@ISWC 2020: 10-18 - [c114]Krisztian Balog, Filip Radlinski:
Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations. SIGIR 2020: 329-338 - [c113]Shuo Zhang, Zhuyun Dai, Krisztian Balog, Jamie Callan:
Summarizing and Exploring Tabular Data in Conversational Search. SIGIR 2020: 1537-1540 - [c112]Johannes M. van Hulst, Faegheh Hasibi, Koen Dercksen, Krisztian Balog, Arjen P. de Vries:
REL: An Entity Linker Standing on the Shoulders of Giants. SIGIR 2020: 2197-2200 - [c111]Shuo Zhang, Edgar Meij, Krisztian Balog, Ridho Reinanda:
Novel Entity Discovery from Web Tables. WWW 2020: 1298-1308 - [e6]Krisztian Balog, Vinay Setty, Christina Lioma, Yiqun Liu, Min Zhang, Klaus Berberich:
ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Norway, September 14-17, 2020. ACM 2020, ISBN 978-1-4503-8067-6 [contents] - [i33]Krisztian Balog, Lucie Flekova, Matthias Hagen, Rosie Jones, Martin Potthast, Filip Radlinski, Mark Sanderson, Svitlana Vakulenko, Hamed Zamani:
Common Conversational Community Prototype: Scholarly Conversational Assistant. CoRR abs/2001.06910 (2020) - [i32]Shuo Zhang, Edgar Meij, Krisztian Balog, Ridho Reinanda:
Novel Entity Discovery from Web Tables. CoRR abs/2002.00206 (2020) - [i31]Shuo Zhang, Krisztian Balog:
Web Table Extraction, Retrieval and Augmentation: A Survey. CoRR abs/2002.00207 (2020) - [i30]Shuo Zhang, Zhuyun Dai, Krisztian Balog, Jamie Callan:
Summarizing and Exploring Tabular Data in Conversational Search. CoRR abs/2005.11490 (2020) - [i29]Johannes M. van Hulst, Faegheh Hasibi, Koen Dercksen, Krisztian Balog, Arjen P. de Vries:
REL: An Entity Linker Standing on the Shoulders of Giants. CoRR abs/2006.01969 (2020) - [i28]Shuo Zhang, Krisztian Balog:
Evaluating Conversational Recommender Systems via User Simulation. CoRR abs/2006.08732 (2020) - [i27]Shuo Zhang, Krisztian Balog, Jamie Callan:
Generating Categories for Sets of Entities. CoRR abs/2008.08428 (2020) - [i26]Javeria Habib, Shuo Zhang, Krisztian Balog:
IAI MovieBot: A Conversational Movie Recommender System. CoRR abs/2009.03668 (2020) - [i25]Trond Linjordet, Krisztian Balog:
Sanitizing Synthetic Training Data Generation for Question Answering over Knowledge Graphs. CoRR abs/2009.04915 (2020) - [i24]Kristian Gingstad, Øyvind Jekteberg, Krisztian Balog:
ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation. CoRR abs/2009.11576 (2020)
2010 – 2019
- 2019
- [j20]Darío Garigliotti, Faegheh Hasibi, Krisztian Balog:
Identifying and exploiting target entity type information for ad hoc entity retrieval. Inf. Retr. J. 22(3-4): 285-323 (2019) - [j19]Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David D. Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud F. Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima:
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. SIGIR Forum 53(2): 20-43 (2019) - [c110]Shuo Zhang, Krisztian Balog:
Auto-completion for Data Cells in Relational Tables. CIKM 2019: 761-770 - [c109]Jan Trienes, Krisztian Balog:
Identifying Unclear Questions in Community Question Answering Websites. ECIR (1) 2019: 276-289 - [c108]Trond Linjordet, Krisztian Balog:
Impact of Training Dataset Size on Neural Answer Selection Models. ECIR (1) 2019: 828-835 - [c107]Krisztian Balog, Tom Kenter:
Personal Knowledge Graphs: A Research Agenda. ICTIR 2019: 217-220 - [c106]Darío Garigliotti, Dyaa Albakour, Miguel Martinez, Krisztian Balog:
Unsupervised Context Retrieval for Long-tail Entities. ICTIR 2019: 225-228 - [c105]