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2020 – today
- 2025
[j16]Simone Borg Bruun
, Christina Lioma, Maria Maistro:
Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain. Trans. Recomm. Syst. 3(1): 2:1-2:24 (2025)- [i65]Ervin Dervishaj, Tuukka Ruotsalo, Maria Maistro, Christina Lioma:
Are Representation Disentanglement and Interpretability Linked in Recommendation Models? A Critical Review and Reproducibility Study. CoRR abs/2501.18805 (2025) - [i64]Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma:
Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier. CoRR abs/2502.11921 (2025) - 2024
- [c79]Sara Marjanovic, Isabelle Augenstein, Christina Lioma:
Investigating the Impact of Model Instability on Explanations and Uncertainty. ACL (Findings) 2024: 11854-11879 - [c78]Sara Marjanovic, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein:
DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models. EMNLP (Findings) 2024: 14346-14360 - [c77]Ziyi Ye, Jingtao Zhan, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Christina Lioma, Tuukka Ruotsalo:
Query Augmentation with Brain Signals. ACM Multimedia 2024: 7561-7570 - [c76]Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma:
Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance. SIGIR 2024: 271-281 - [i63]Xiansong Meng, Deming Kong, Kwangwoong Kim, Qiuchi Li, Po Dong, Ingemar J. Cox, Christina Lioma, Hao Hu:
Digital-analog hybrid matrix multiplication processor for optical neural networks. CoRR abs/2401.15061 (2024) - [i62]Sara Vera Marjanovic, Isabelle Augenstein, Christina Lioma:
Investigating the Impact of Model Instability on Explanations and Uncertainty. CoRR abs/2402.13006 (2024) - [i61]Ziyi Ye, Jingtao Zhan, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Christina Lioma, Tuukka Ruotsalo:
Query Augmentation by Decoding Semantics from Brain Signals. CoRR abs/2402.15708 (2024) - [i60]Simone Borg Bruun, Christina Lioma, Maria Maistro:
Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain. CoRR abs/2403.00368 (2024) - [i59]Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma:
Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance. CoRR abs/2405.18276 (2024) - [i58]Sara Vera Marjanovic, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein:
From Internal Conflict to Contextual Adaptation of Language Models. CoRR abs/2407.17023 (2024) - [i57]Qiuchi Li, Christina Lioma:
Joint Extraction and Classification of Danish Competences for Job Matching. CoRR abs/2410.22103 (2024) - [i56]Lovisa Hagström, Sara Vera Marjanovic, Haeun Yu, Arnav Arora, Christina Lioma, Maria Maistro, Pepa Atanasova, Isabelle Augenstein:
A Reality Check on Context Utilisation for Retrieval-Augmented Generation. CoRR abs/2412.17031 (2024) - 2023
- [c75]Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein:
Faithfulness Tests for Natural Language Explanations. ACL (2) 2023: 283-294 - [c74]Simone Borg Bruun, Kacper Kenji Lesniak, Mirko Biasini, Vittorio Carmignani, Panagiotis Filianos, Christina Lioma, Maria Maistro:
Graph-Based Recommendation for Sparse and Heterogeneous User Interactions. ECIR (1) 2023: 182-199 - [c73]Qiuchi Li, Christina Lioma:
Joint Extraction and Classification of Danish Competences for Job Matching. ECIR (2) 2023: 475-483 - [i55]Simone Borg Bruun, Kacper Kenji Lesniak, Mirko Biasini, Vittorio Carmignani, Panagiotis Filianos, Christina Lioma, Maria Maistro:
Graph-based Recommendation for Sparse and Heterogeneous User Interactions. CoRR abs/2301.11009 (2023) - [i54]Qiuchi Li, Benyou Wang, Yudong Zhu, Christina Lioma, Qun Liu:
Adapting Pre-trained Language Models for Quantum Natural Language Processing. CoRR abs/2302.13812 (2023) - [i53]Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein:
Faithfulness Tests for Natural Language Explanations. CoRR abs/2305.18029 (2023) - [i52]Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Christina Lioma:
Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study. CoRR abs/2311.01013 (2023) - [i51]Ziyi Ye, Qingyao Ai, Yiqun Liu, Min Zhang, Christina Lioma, Tuukka Ruotsalo:
Language Generation from Human Brain Activities. CoRR abs/2311.09889 (2023) - 2022
- [j15]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Fact Checking with Insufficient Evidence. Trans. Assoc. Comput. Linguistics 10: 746-763 (2022) - [j14]Peng Zhang, Wenjie Hui, Benyou Wang, Donghao Zhao, Dawei Song, Christina Lioma, Jakob Grue Simonsen:
Complex-valued Neural Network-based Quantum Language Models. ACM Trans. Inf. Syst. 40(4): 84:1-84:31 (2022) - [c72]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Diagnostics-Guided Explanation Generation. AAAI 2022: 10445-10453 - [c71]Ao Jia, Yu He, Yazhou Zhang, Sagar Uprety, Dawei Song, Christina Lioma:
Beyond Emotion: A Multi-Modal Dataset for Human Desire Understanding. NAACL-HLT 2022: 1512-1522 - [c70]Simone Borg Bruun, Maria Maistro, Christina Lioma:
Learning Recommendations from User Actions in the Item-poor Insurance Domain. RecSys 2022: 113-123 - [i50]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Fact Checking with Insufficient Evidence. CoRR abs/2204.02007 (2022) - [i49]Simone Borg Bruun, Maria Maistro, Christina Lioma:
Learning Recommendations from User Actions in the Item-poor Insurance Domain. CoRR abs/2211.15360 (2022) - [i48]Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma:
Principled Multi-Aspect Evaluation Measures of Rankings. CoRR abs/2212.00492 (2022) - [i47]Qiuchi Li, Christina Lioma:
Template-based Recruitment Email Generation For Job Recommendation. CoRR abs/2212.02885 (2022) - 2021
- [j13]Qiuchi Li, Dimitris Gkoumas, Christina Lioma, Massimo Melucci:
Quantum-inspired multimodal fusion for video sentiment analysis. Inf. Fusion 65: 58-71 (2021) - [j12]Dimitris Gkoumas, Qiuchi Li, Christina Lioma, Yijun Yu, Dawei Song:
What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis. Inf. Fusion 66: 184-197 (2021) - [c69]Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma:
Principled Multi-Aspect Evaluation Measures of Rankings. CIKM 2021: 1232-1242 - [c68]Dongsheng Wang, Casper Hansen, Lucas Chaves Lima, Christian Hansen, Maria Maistro, Jakob Grue Simonsen, Christina Lioma:
Multi-head Self-attention with Role-Guided Masks. ECIR (2) 2021: 432-439 - [c67]Benyou Wang, Lifeng Shang, Christina Lioma, Xin Jiang, Hao Yang, Qun Liu, Jakob Grue Simonsen:
On Position Embeddings in BERT. ICLR 2021 - [c66]Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Christina Lioma:
Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering. WWW 2021: 261-269 - [c65]Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Unsupervised Multi-Index Semantic Hashing. WWW 2021: 2879-2889 - [i46]Qiuchi Li, Dimitris Gkoumas, Christina Lioma, Massimo Melucci:
Quantum-inspired Multimodal Fusion for Video Sentiment Analysis. CoRR abs/2103.10572 (2021) - [i45]Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Christina Lioma:
Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering. CoRR abs/2103.14455 (2021) - [i44]Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Unsupervised Multi-Index Semantic Hashing. CoRR abs/2103.14460 (2021) - [i43]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Diagnostics-Guided Explanation Generation. CoRR abs/2109.03756 (2021) - 2020
- [j11]Avi Arampatzis, Linda Cappellato, Carsten Eickhoff, Nicola Ferro, Hideo Joho, Evangelos Kanoulas, Christina Lioma, Aurélie Névéol, Theodora Tsikrika, Stefanos Vrochidis:
Report on CLEF 2020. SIGIR Forum 54(2): 11:1-11:10 (2020) - [c64]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Generating Fact Checking Explanations. ACL 2020: 7352-7364 - [c63]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Christina Lioma:
Fact Check-Worthiness Detection with Contrastive Ranking. CLEF 2020: 124-130 - [c62]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
A Diagnostic Study of Explainability Techniques for Text Classification. EMNLP (1) 2020: 3256-3274 - [c61]Benyou Wang, Donghao Zhao, Christina Lioma, Qiuchi Li, Peng Zhang, Jakob Grue Simonsen:
Encoding word order in complex embeddings. ICLR 2020 - [c60]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Content-aware Neural Hashing for Cold-start Recommendation. SIGIR 2020: 971-980 - [c59]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Unsupervised Semantic Hashing with Pairwise Reconstruction. SIGIR 2020: 2009-2012 - [c58]Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Birger Larsen, Stephen Alstrup, Christina Lioma:
Factuality Checking in News Headlines with Eye Tracking. SIGIR 2020: 2013-2016 - [e3]Avi Arampatzis, Evangelos Kanoulas, Theodora Tsikrika, Stefanos Vrochidis, Hideo Joho, Christina Lioma, Carsten Eickhoff, Aurélie Névéol, Linda Cappellato, Nicola Ferro:
Experimental IR Meets Multilinguality, Multimodality, and Interaction - 11th International Conference of the CLEF Association, CLEF 2020, Thessaloniki, Greece, September 22-25, 2020, Proceedings. Lecture Notes in Computer Science 12260, Springer 2020, ISBN 978-3-030-58218-0 [contents] - [e2]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] - [i42]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Generating Fact Checking Explanations. CoRR abs/2004.05773 (2020) - [i41]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Content-aware Neural Hashing for Cold-start Recommendation. CoRR abs/2006.00617 (2020) - [i40]Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Birger Larsen, Stephen Alstrup, Christina Lioma:
Factuality Checking in News Headlines with Eye Tracking. CoRR abs/2006.09736 (2020) - [i39]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Unsupervised Semantic Hashing with Pairwise Reconstruction. CoRR abs/2007.00380 (2020) - [i38]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
A Diagnostic Study of Explainability Techniques for Text Classification. CoRR abs/2009.13295 (2020) - [i37]Lucas Chaves Lima, Casper Hansen, Christian Hansen, Dongsheng Wang, Maria Maistro, Birger Larsen, Jakob Grue Simonsen, Christina Lioma:
Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19. CoRR abs/2011.12684 (2020) - [i36]Dongsheng Wang, Casper Hansen, Lucas Chaves Lima, Christian Hansen, Maria Maistro, Jakob Grue Simonsen, Christina Lioma:
Multi-Head Self-Attention with Role-Guided Masks. CoRR abs/2012.12366 (2020)
2010 – 2019
- 2019
- [c57]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Christina Lioma:
Neural Weakly Supervised Fact Check-Worthiness Detection with Contrastive Sampling-Based Ranking Loss. CLEF (Working Notes) 2019 - [c56]Christian Hansen, Casper Hansen, Stephen Alstrup, Christina Lioma:
Modelling End-of-Session Actions in Educational Systems. EDM 2019 - [c55]Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen:
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims. EMNLP/IJCNLP (1) 2019: 4684-4696 - [c54]Christian Hansen, Casper Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Neural Speed Reading with Structural-Jump-LSTM. ICLR (Poster) 2019 - [c53]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Unsupervised Neural Generative Semantic Hashing. SIGIR 2019: 735-744 - [c52]Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Contextually Propagated Term Weights for Document Representation. SIGIR 2019: 897-900 - [c51]Dongsheng Wang, Qiuchi Li, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma:
Contextual Compositionality Detection with External Knowledge Bases and Word Embeddings. WWW (Companion Volume) 2019: 317-323 - [c50]Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking. WWW (Companion Volume) 2019: 994-1000 - [i35]Dongsheng Wang, Qiuchi Li, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma:
Contextual Compositionality Detection with External Knowledge Bases andWord Embeddings. CoRR abs/1903.08389 (2019) - [i34]Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking. CoRR abs/1903.08404 (2019) - [i33]Christian Hansen, Casper Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Modelling Sequential Music Track Skips using a Multi-RNN Approach. CoRR abs/1903.08408 (2019) - [i32]Christian Hansen, Casper Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Neural Speed Reading with Structural-Jump-LSTM. CoRR abs/1904.00761 (2019) - [i31]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Unsupervised Neural Generative Semantic Hashing. CoRR abs/1906.00671 (2019) - [i30]Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Contextually Propagated Term Weights for Document Representation. CoRR abs/1906.00674 (2019) - [i29]Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen:
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims. CoRR abs/1909.03242 (2019) - [i28]Christian Hansen, Casper Hansen, Stephen Alstrup, Christina Lioma:
Modelling End-of-Session Actions in Educational Systems. CoRR abs/1909.06856 (2019) - [i27]Benyou Wang, Donghao Zhao, Christina Lioma, Qiuchi Li, Peng Zhang, Jakob Grue Simonsen:
Encoding word order in complex embeddings. CoRR abs/1912.12333 (2019) - 2018
- [j10]Christina Lioma, Birger Larsen, Peter Ingwersen:
To Phrase or Not to Phrase - Impact of User versus System Term Dependence upon Retrieval. Data Inf. Manag. 2(1): 1-14 (2018) - [c49]Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Christina Lioma:
The Copenhagen Team Participation in the Check-Worthiness Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 CheckThat! Lab. CLEF (Working Notes) 2018 - [c48]Dongsheng Wang, Jakob Grue Simonsen, Birger Larsen, Christina Lioma:
The Copenhagen Team Participation in the Factuality Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 Fact Checking Lab. CLEF (Working Notes) 2018 - [c47]Niels Dalum Hansen, Kåre Mølbak, Ingemar J. Cox, Christina Lioma:
Predicting Antimicrobial Drug Consumption using Web Search Data. DH 2018: 133-142 - [i26]Christina Lioma, Birger Larsen, Peter Ingwersen:
To Phrase or Not to Phrase - Impact of User versus System Term Dependence Upon Retrieval. CoRR abs/1802.02603 (2018) - [i25]Niels Dalum Hansen, Kåre Mølbak, Ingemar J. Cox, Christina Lioma:
Seasonal Web Search Query Selection for Influenza-Like Illness (ILI) Estimation. CoRR abs/1802.06833 (2018) - [i24]Niels Dalum Hansen, Kåre Mølbak, Ingemar J. Cox, Christina Lioma:
Predicting antimicrobial drug consumption using web search data. CoRR abs/1803.03532 (2018) - 2017
- [j9]Christina Lioma, Niels Dalum Hansen:
A study of metrics of distance and correlation between ranked lists for compositionality detection. Cogn. Syst. Res. 44: 40-49 (2017) - [c46]Casper Hansen, Christian Hansen, Stephen Alstrup, Christina Lioma:
Smart City Analytics: Ensemble-Learned Prediction of Citizen Home Care. CIKM 2017: 2095-2098 - [c45]Christian Hansen, Casper Hansen, Niklas Hjuler, Stephen Alstrup, Christina Lioma:
Sequence Modelling For Analysing Student Interaction with Educational Systems. EDM 2017 - [c44]Christina Lioma, Jakob Grue Simonsen, Birger Larsen:
Evaluation Measures for Relevance and Credibility in Ranked Lists. ICTIR 2017: 91-98 - [c43]Niels Dalum Hansen, Kåre Mølbak, Ingemar J. Cox, Christina Lioma:
Seasonal Web Search Query Selection for Influenza-Like Illness (ILI) Estimation. SIGIR 2017: 1197-1200 - [c42]Niels Dalum Hansen, Kåre Mølbak, Ingemar J. Cox, Christina Lioma:
Time-Series Adaptive Estimation of Vaccination Uptake Using Web Search Queries. WWW (Companion Volume) 2017: 773-774 - [i23]Niels Dalum Hansen, Kåre Mølbak, Ingemar J. Cox, Christina Lioma:
Time-Series Adaptive Estimation of Vaccination Uptake Using Web Search Queries. CoRR abs/1702.07326 (2017) - [i22]Christina Lioma, Niels Dalum Hansen:
A Study of Metrics of Distance and Correlation Between Ranked Lists for Compositionality Detection. CoRR abs/1703.03640 (2017) - [i21]Christina Lioma, Birger Larsen, Wei Lu:
Rhetorical relations for information retrieval. CoRR abs/1704.01599 (2017) - [i20]Christina Lioma, Birger Larsen, Peter Ingwersen:
Preliminary Experiments using Subjective Logic for the Polyrepresentation of Information Needs. CoRR abs/1704.01603 (2017) - [i19]Christina Lioma, Birger Larsen, Hinrich Schütze, Peter Ingwersen:
A Subjective Logic Formalisation of the Principle of Polyrepresentation for Information Needs. CoRR abs/1704.01610 (2017) - [i18]Christina Lioma, Roi Blanco:
Part of Speech Based Term Weighting for Information Retrieval. CoRR abs/1704.01617 (2017) - [i17]Birger Larsen, Christina Lioma, Arjen P. de Vries:
Report on TBAS 2012: Workshop on Task-Based and Aggregated Search. CoRR abs/1704.01845 (2017) - [i16]Wei Lu, Qikai Cheng, Christina Lioma:
Fixed versus Dynamic Co-Occurrence Windows in TextRank Term Weights for Information Retrieval. CoRR abs/1704.01851 (2017) - [i15]Christian Hansen, Casper Hansen, Niklas Hjuler, Stephen Alstrup, Christina Lioma:
Sequence Modelling For Analysing Student Interaction with Educational Systems. CoRR abs/1708.04164 (2017) - [i14]Casper Hansen, Christian Hansen, Stephen Alstrup, Christina Lioma:
Smart City Analytics: Ensemble-Learned Prediction of Citizen Home Care. CoRR abs/1708.06403 (2017) - [i13]Christina Lioma, Jakob Grue Simonsen, Birger Larsen:
Evaluation Measures for Relevance and Credibility in Ranked Lists. CoRR abs/1708.07157 (2017) - [i12]Christina Lioma:
Dependencies: Formalising Semantic Catenae for Information Retrieval. CoRR abs/1709.03742 (2017) - 2016
- [j8]Nicola Ferro, Fabio Crestani, Marie-Francine Moens, Josiane Mothe, Fabrizio Silvestri, Jaana Kekäläinen, Paolo Rosso, Paul D. Clough, Gabriella Pasi, Christina Lioma, Stefano Mizzaro, Giorgio Maria Di Nunzio, Claudia Hauff, Omar Alonso, Pavel Serdyukov, Gianmaria Silvello:
Report on ECIR 2016: 38th European Conference on Information Retrieval. SIGIR Forum 50(1): 12-27 (2016) - [j7]Casper Petersen, Jakob Grue Simonsen, Christina Lioma:
Power Law Distributions in Information Retrieval. ACM Trans. Inf. Syst. 34(2): 8:1-8:37 (2016) - [c41]Christina Lioma, Birger Larsen, Wei Lu, Yong Huang:
A study of factuality, objectivity and relevance: three desiderata in large-scale information retrieval? BDCAT 2016: 107-117 - [c40]Niels Dalum Hansen, Christina Lioma, Kåre Mølbak:
Ensemble Learned Vaccination Uptake Prediction using Web Search Queries. CIKM 2016: 1953-1956 - [c39]Casper Petersen, Jakob Grue Simonsen, Kalervo Järvelin, Christina Lioma:
Adaptive Distributional Extensions to DFR Ranking. CIKM 2016: 2005-2008 - [c38]Brian Brost, Yevgeny Seldin, Ingemar J. Cox, Christina Lioma:
Multi-Dueling Bandits and Their Application to Online Ranker Evaluation. CIKM 2016: 2161-2166 - [c37]Birger Larsen, Christina Lioma:
On the Need for and Provision for an 'IDEAL' Scholarly Information Retrieval Test Collection. BIR@ECIR 2016: 73-81 - [c36]Christina Lioma, Fabien Tarissan, Jakob Grue Simonsen, Casper Petersen, Birger Larsen:
Exploiting the Bipartite Structure of Entity Grids for Document Coherence and Retrieval. ICTIR 2016: 11-20 - [c35]Brian Brost, Ingemar J. Cox, Yevgeny Seldin, Christina Lioma:
An Improved Multileaving Algorithm for Online Ranker Evaluation. SIGIR 2016: 745-748 - [i11]Christina Lioma, Birger Larsen, Casper Petersen, Jakob Grue Simonsen:
Deep Learning Relevance: Creating Relevant Information (as Opposed to Retrieving it). CoRR abs/1606.07660 (2016) - [i10]Christina Lioma, Fabien Tarissan, Jakob Grue Simonsen, Casper Petersen, Birger Larsen:
Exploiting the Bipartite Structure of Entity Grids for Document Coherence and Retrieval. CoRR abs/1608.00758 (2016) - [i9]Brian Brost, Ingemar J. Cox, Yevgeny Seldin, Christina Lioma:
An Improved Multileaving Algorithm for Online Ranker Evaluation. CoRR abs/1608.00788 (2016) - [i8]Brian Brost, Yevgeny Seldin, Ingemar J. Cox, Christina Lioma:
Multi-Dueling Bandits and Their Application to Online Ranker Evaluation. CoRR abs/1608.06253 (2016) - [i7]Niels Dalum Hansen, Christina Lioma, Kåre Mølbak:
Ensemble Learned Vaccination Uptake Prediction using Web Search Queries. CoRR abs/1609.00689 (2016) - [i6]Casper Petersen, Jakob Grue Simonsen, Kalervo Järvelin, Christina Lioma:
Adaptive Distributional Extensions to DFR Ranking. CoRR abs/1609.00969 (2016) - [i5]Christina Lioma, Birger Larsen, Wei Lu, Yong Huang:
A Study of Factuality, Objectivity and Relevance: Three Desiderata in Large-Scale Information Retrieval? CoRR abs/1610.01327 (2016) - 2015
- [c34]Casper Petersen, Jakob Grue Simonsen, Christina Lioma:
The Impact of Using Combinatorial Optimisation for Static Caching of Posting Lists. AIRS 2015: 420-425 - [c33]Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi, Christina Lioma, Jakob Grue Simonsen, Jian-Yun Nie:
A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion. CIKM 2015: 553-562 - [c32]Casper Petersen, Christina Lioma, Jakob Grue Simonsen, Birger Larsen:
Entropy and Graph Based Modelling of Document Coherence using Discourse Entities: An Application to IR. ICTIR 2015: 191-200 - [c31]Christina Lioma, Jakob Grue Simonsen, Birger Larsen, Niels Dalum Hansen:
Non-Compositional Term Dependence for Information Retrieval. SIGIR 2015: 595-604 - [i4]Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi, Christina Lioma, Jakob Grue Simonsen, Jian-Yun Nie:
A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion. CoRR abs/1507.02221 (2015) - [i3]Christina Lioma, Jakob Grue Simonsen, Birger Larsen, Niels Dalum Hansen:
Non-Compositional Term Dependence for Information Retrieval. CoRR abs/1507.08198 (2015) - [i2]Casper Petersen, Christina Lioma, Jakob Grue Simonsen, Birger Larsen:
Entropy and Graph Based Modelling of Document Coherence using Discourse Entities: An Application. CoRR abs/1507.08234 (2015) - 2014
- [c30]Niels Dalum Hansen, Christina Lioma, Birger Larsen, Stephen Alstrup:
Temporal Context for Authorship Attribution - A Study of Danish Secondary Schools. IRFC 2014: 22-40 - [p1]Roi Blanco, Manuel Eduardo Ares Brea, Christina Lioma:
User Generated Content Search. Mining User Generated Content 2014: 167-187 - 2013
- [j6]Radu Dragusin, Paula Petcu, Christina Lioma, Birger Larsen, Henrik Jørgensen, Ingemar J. Cox, Lars Kai Hansen, Peter Ingwersen, Ole Winther:
FindZebra: A search engine for rare diseases. Int. J. Medical Informatics 82(6): 528-538 (2013) - [c29]Casper Petersen, Christina Lioma, Jakob Grue Simonsen:
Comparative Study of Search Engine Result Visualisation: Ranked Lists Versus Graphs. EuroHCIR 2013: 27-30 - [e1]Oren Kurland, Donald Metzler, Christina Lioma, Birger Larsen, Peter Ingwersen:
International Conference on the Theory of Information Retrieval, ICTIR '13, Copenhagen, Denmark, September 29 - October 02, 2013. ACM 2013, ISBN 978-1-4503-2107-5 [contents] - [i1]Radu Dragusin, Paula Petcu, Christina Lioma, Birger Larsen, Henrik Jørgensen, Ingemar J. Cox, Lars Kai Hansen, Peter Ingwersen, Ole Winther:
FindZebra: A search engine for rare diseases. CoRR abs/1303.3229 (2013) - 2012
- [j5]Raf Guns, Christina Lioma, Birger Larsen:
The tipping point: F-score as a function of the number of retrieved items. Inf. Process. Manag. 48(6): 1171-1180 (2012) - [j4]Roi Blanco, Christina Lioma:
Graph-based term weighting for information retrieval. Inf. Retr. 15(1): 54-92 (2012) - [j3]Birger Larsen, Christina Lioma, Arjen P. de Vries:
Report on TBAS 2012: workshop on task-based and aggregated search. SIGIR Forum 46(1): 71-77 (2012) - [c28]Christina Lioma, Birger Larsen, Peter Ingwersen:
Preliminary experiments using subjective logic for the polyrepresentation of information needs. IIiX 2012: 174-183 - [c27]Peter Ingwersen, Christina Lioma, Birger Larsen, Peiling Wang:
An exploratory study into perceived task complexity, topic specificity and usefulness for integrated search. IIiX 2012: 302-305 - [c26]Christina Lioma, Birger Larsen, Wei Lu:
Rhetorical relations for information retrieval. SIGIR 2012: 931-940 - [c25]Wei Lu, Qikai Cheng, Christina Lioma:
Fixed versus dynamic co-occurrence windows in TextRank term weights for information retrieval. SIGIR 2012: 1079-1080 - [c24]Birger Larsen, Christina Lioma, Ingo Frommholz, Hinrich Schütze:
Preliminary study of technical terminology for the retrieval of scientific book metadata records. SIGIR 2012: 1131-1132 - 2011
- [c23]Lukas Michelbacher, Alok Kothari, Martin Forst, Christina Lioma, Hinrich Schütze:
A Cascaded Classification Approach to Semantic Head Recognition. EMNLP 2011: 793-803 - [c22]Christina Lioma, Birger Larsen, Hinrich Schütze:
User Perspectives on Query Difficulty. ICTIR 2011: 3-14 - [c21]Radu Dragusin, Paula Petcu, Christina Lioma, Birger Larsen, Henrik Jørgensen, Ole Winther:
Rare Disease Diagnosis as an Information Retrieval Task. ICTIR 2011: 356-359 - [c20]Charles Jochim, Christina Lioma, Hinrich Schütze:
Expanding Queries with Term and Phrase Translations in Patent Retrieval. IRFC 2011: 16-29 - [c19]Christina Lioma, Alok Kothari, Hinrich Schütze:
Sense discrimination for physics retrieval. SIGIR 2011: 1101-1102 - 2010
- [c18]Charles Jochim, Christina Lioma, Hinrich Schütze, Steffen Koch, Thomas Ertl:
Preliminary study into query translation for patent retrieval. PaIR@CIKM 2010: 57-66 - [c17]Christina Lioma, Birger Larsen, Hinrich Schütze, Peter Ingwersen:
A subjective logic formalisation of the principle of polyrepresentation for information needs. IIiX 2010: 125-134
2000 – 2009
- 2009
- [j2]Roi Blanco, Christina Lioma:
Mixed monolingual homepage finding in 34 languages: the role of language script and search domain. Inf. Retr. 12(3): 324-351 (2009) - [c16]Christina Lioma, Roi Blanco:
Part of Speech Based Term Weighting for Information Retrieval. ECIR 2009: 412-423 - [c15]Christina Lioma, Roi Blanco, Raquel Mochales Palau, Marie-Francine Moens:
A Belief Model of Query Difficulty That Uses Subjective Logic. ICTIR 2009: 92-103 - [c14]Christina Lioma, Roi Blanco, Marie-Francine Moens:
A Logical Inference Approach to Query Expansion with Social Tags. ICTIR 2009: 358-361 - 2008
- [b1]Christina Lioma:
Part of speech N-grams for information retrieval. University of Glasgow, UK, 2008 - [j1]Christina Lioma, Iadh Ounis:
A syntactically-based query reformulation technique for information retrieval. Inf. Process. Manag. 44(1): 143-162 (2008) - [c13]Christina Lioma, Marie-Francine Moens, Juan-Carlos Gomez, Jan De Beer, André Bergholz, Gerhard Paass, Patrick Horkan:
Anticipating Hidden Text Salting in Emails. RAID 2008: 396-397 - 2007
- [c12]Christina Lioma, Iadh Ounis:
Light Syntactically-Based Index Pruning for Information Retrieval. ECIR 2007: 88-100 - [c11]Roi Blanco, Christina Lioma:
Random walk term weighting for information retrieval. SIGIR 2007: 829-830 - [c10]Christina Lioma, Iadh Ounis:
Extending Weighting Models with a Term Quality Measure. SPIRE 2007: 205-216 - 2006
- [c9]Christina Lioma, Iadh Ounis:
Examining the Content Load of Part of Speech Blocks for Information Retrieval. ACL 2006 - [c8]Christina Lioma, Craig Macdonald, Vassilis Plachouras, Jie Peng, Ben He, Iadh Ounis:
University of Glasgow at TREC 2006: Experiments in Terabyte and Enterprise Tracks with Terrier. TREC 2006 - 2005
- [c7]Christina Lioma, Iadh Ounis:
Deploying Part-of-Speech Patterns to Enhance Statistical Phrase-Based Machine Translation Resources. ParallelText@ACL 2005: 163-166 - [c6]Christina Lioma, Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis:
Applying Light Natural Language Processing to Ad-Hoc Cross Language Information Retrieval. CLEF 2005: 170-178 - [c5]Christina Lioma, Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis:
Applying Light Natural Language Processing to Ad-Hoc Cross Language Information Retrieval. CLEF (Working Notes) 2005 - [c4]Craig Macdonald, Vassilis Plachouras, Ben He, Christina Lioma, Iadh Ounis:
University of Glasgow at WebCLEF 2005: Experiments in Per-Field Normalisation and Language Specific Stemming. CLEF 2005: 898-907 - [c3]Craig Macdonald, Vassilis Plachouras, Ben He, Christina Lioma, Iadh Ounis:
University of Glasgow at WebCLEF 2005: Experiments in per-field Normalisation and Language Specific Stemming. CLEF (Working Notes) 2005 - 2004
- [c2]Christina Lioma, Ben He, Vassilis Plachouras, Iadh Ounis:
The University of Glasgow at CLEF 2004: French Monolingual Information Retrieval with Terrier. CLEF (Working Notes) 2004 - [c1]Christina Lioma, Ben He, Vassilis Plachouras, Iadh Ounis:
The University of Glasgow at CLEF 2004: French Monolingual Information Retrieval with Terrier. CLEF 2004: 253-259
Coauthor Index
[c75] [i53] [j15] [j14] [c72] [i50] [i48] [c69] [c68] [c67] [c66] [c65] [i45] [i44] [i43] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [c57] [c55] [c54] [c53] [c52] [c51] [c50] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i27] [c49] [c48] [c44] [i13] [j7] [c39] [c36] [i11] [i10] [i6] [c34] [c33] [c32] [c31] [i4] [i3] [i2] [c29]
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