The University of Glasgow at CLEF 2004: French Monolingual Information Retrieval with Terrier. - Christina Lioma; Ben He; Vassilis Plachouras; Iadh Ounis (CLEF (Working Notes), 2004)

Deploying Part-of-Speech Patterns to Enhance Statistical Phrase-Based Machine Translation Resources. - Christina Lioma; Iadh Ounis (ParallelText@ACL, 2005)

Applying Light Natural Language Processing to Ad-Hoc Cross Language Information Retrieval. - Christina Lioma; Craig Macdonald; Ben He; Vassilis Plachouras; Iadh Ounis (CLEF, 2005)

University of Glasgow at WebCLEF 2005: Experiments in per-field Normalisation and Language Specific Stemming. - Craig Macdonald; Vassilis Plachouras; Ben He; Christina Lioma; Iadh Ounis (CLEF (Working Notes), 2005)

Examining the Content Load of Part of Speech Blocks for Information Retrieval. - Christina Lioma; Iadh Ounis (ACL, 2006)

University of Glasgow at TREC 2006: Experiments in Terabyte and Enterprise Tracks with Terrier. - Christina Lioma; Craig Macdonald; Vassilis Plachouras; Jie Peng 003; Ben He; Iadh Ounis (TREC, 2006)

Light Syntactically-Based Index Pruning for Information Retrieval. - Christina Lioma; Iadh Ounis (ECIR, 2007)

Random walk term weighting for information retrieval. - Roi Blanco; Christina Lioma (SIGIR, 2007)

Extending Weighting Models with a Term Quality Measure. - Christina Lioma; Iadh Ounis (SPIRE, 2007)

Anticipating Hidden Text Salting in Emails. - Christina Lioma; Marie-Francine Moens; Juan-Carlos Gomez 001; Jan De Beer; André Bergholz; Gerhard Paass; Patrick Horkan (RAID, 2008)

A syntactically-based query reformulation technique for information retrieval. - Christina Lioma; Iadh Ounis (Inf. Process. Manag., 2008)

Part of speech N-grams for information retrieval. - Christina Lioma (2008)

Part of Speech Based Term Weighting for Information Retrieval. - Christina Lioma; Roi Blanco (ECIR, 2009)

A Logical Inference Approach to Query Expansion with Social Tags. - Christina Lioma; Roi Blanco; Marie-Francine Moens (ICTIR, 2009)

A Belief Model of Query Difficulty That Uses Subjective Logic. - Christina Lioma; Roi Blanco; Raquel Mochales Palau; Marie-Francine Moens (ICTIR, 2009)

Mixed monolingual homepage finding in 34 languages: the role of language script and search domain. - Roi Blanco; Christina Lioma (Inf. Retr., 2009)

Preliminary study into query translation for patent retrieval. - Charles Jochim; Christina Lioma; Hinrich Schütze; Steffen Koch 001; Thomas Ertl (PaIR@CIKM, 2010)

A subjective logic formalisation of the principle of polyrepresentation for information needs. - Christina Lioma; Birger Larsen; Hinrich Schütze; Peter Ingwersen (IIiX, 2010)

A Cascaded Classification Approach to Semantic Head Recognition. - Lukas Michelbacher; Alok Kothari; Martin Forst; Christina Lioma; Hinrich Schütze (EMNLP, 2011)

Rare Disease Diagnosis as an Information Retrieval Task. - Radu Dragusin; Paula Petcu; Christina Lioma; Birger Larsen; Henrik Jørgensen; Ole Winther (ICTIR, 2011)

User Perspectives on Query Difficulty. - Christina Lioma; Birger Larsen; Hinrich Schütze (ICTIR, 2011)

Expanding Queries with Term and Phrase Translations in Patent Retrieval. - Charles Jochim; Christina Lioma; Hinrich Schütze (IRFC, 2011)

Sense discrimination for physics retrieval. - Christina Lioma; Alok Kothari; Hinrich Schütze (SIGIR, 2011)

An exploratory study into perceived task complexity, topic specificity and usefulness for integrated search. - Peter Ingwersen; Christina Lioma; Birger Larsen; Peiling Wang (IIiX, 2012)

Preliminary experiments using subjective logic for the polyrepresentation of information needs. - Christina Lioma; Birger Larsen; Peter Ingwersen (IIiX, 2012)

Preliminary study of technical terminology for the retrieval of scientific book metadata records. - Birger Larsen; Christina Lioma; Ingo Frommholz; Hinrich Schütze (SIGIR, 2012)

Rhetorical relations for information retrieval. - Christina Lioma; Birger Larsen; Wei Lu 019 (SIGIR, 2012)

Fixed versus dynamic co-occurrence windows in TextRank term weights for information retrieval. - Wei Lu 019; Qikai Cheng; Christina Lioma (SIGIR, 2012)

The tipping point: F-score as a function of the number of retrieved items. - Raf Guns; Christina Lioma; Birger Larsen (Inf. Process. Manag., 2012)

Graph-based term weighting for information retrieval. - Roi Blanco; Christina Lioma (Inf. Retr., 2012)

Report on TBAS 2012: workshop on task-based and aggregated search. - Birger Larsen; Christina Lioma; Arjen P. de Vries (SIGIR Forum, 2012)

Comparative Study of Search Engine Result Visualisation: Ranked Lists Versus Graphs. - Casper Petersen; Christina Lioma; Jakob Grue Simonsen (EuroHCIR, 2013)

FindZebra: A search engine for rare diseases. - Radu Dragusin; Paula Petcu; Christina Lioma; Birger Larsen; Henrik Jørgensen; Ingemar J. Cox; Lars Kai Hansen; Peter Ingwersen; Ole Winther (Int. J. Medical Informatics, 2013)

User Generated Content Search. - Roi Blanco; Manuel Eduardo Ares Brea; Christina Lioma (Mining User Generated Content, 2014)

Temporal Context for Authorship Attribution - A Study of Danish Secondary Schools. - Niels Dalum Hansen; Christina Lioma; Birger Larsen; Stephen Alstrup (IRFC, 2014)

The Impact of Using Combinatorial Optimisation for Static Caching of Posting Lists. - Casper Petersen; Jakob Grue Simonsen; Christina Lioma (AIRS, 2015)

A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion. - Alessandro Sordoni; Yoshua Bengio; Hossein Vahabi; Christina Lioma; Jakob Grue Simonsen; Jian-Yun Nie (CIKM, 2015)

Entropy and Graph Based Modelling of Document Coherence using Discourse Entities: An Application to IR. - Casper Petersen; Christina Lioma; Jakob Grue Simonsen; Birger Larsen (ICTIR, 2015)

Non-Compositional Term Dependence for Information Retrieval. - Christina Lioma; Jakob Grue Simonsen; Birger Larsen; Niels Dalum Hansen (SIGIR, 2015)

Entropy and Graph Based Modelling of Document Coherence using Discourse Entities: An Application. - Casper Petersen; Christina Lioma; Jakob Grue Simonsen; Birger Larsen (CoRR, 2015)

A study of factuality, objectivity and relevance: three desiderata in large-scale information retrieval? - Christina Lioma; Birger Larsen; Wei Lu 019; Yong Huang 008 (BDCAT, 2016)

Multi-Dueling Bandits and Their Application to Online Ranker Evaluation. - Brian Brost; Yevgeny Seldin; Ingemar J. Cox; Christina Lioma (CIKM, 2016)

Ensemble Learned Vaccination Uptake Prediction using Web Search Queries. - Niels Dalum Hansen; Christina Lioma; Kåre Mølbak (CIKM, 2016)

Adaptive Distributional Extensions to DFR Ranking. - Casper Petersen; Jakob Grue Simonsen; Kalervo Järvelin; Christina Lioma (CIKM, 2016)

On the Need for and Provision for an 'IDEAL' Scholarly Information Retrieval Test Collection. - Birger Larsen; Christina Lioma (BIR@ECIR, 2016)

Exploiting the Bipartite Structure of Entity Grids for Document Coherence and Retrieval. - Christina Lioma; Fabien Tarissan; Jakob Grue Simonsen; Casper Petersen; Birger Larsen (ICTIR, 2016)

An Improved Multileaving Algorithm for Online Ranker Evaluation. - Brian Brost; Ingemar J. Cox; Yevgeny Seldin; Christina Lioma (SIGIR, 2016)

Deep Learning Relevance: Creating Relevant Information (as Opposed to Retrieving it). - Christina Lioma; Birger Larsen; Casper Petersen; Jakob Grue Simonsen (CoRR, 2016)

Report on ECIR 2016: 38th European Conference on Information Retrieval. - Nicola Ferro 001; 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; et al. (SIGIR Forum, 2016)

Power Law Distributions in Information Retrieval. - Casper Petersen; Jakob Grue Simonsen; Christina Lioma (ACM Trans. Inf. Syst., 2016)

Smart City Analytics: Ensemble-Learned Prediction of Citizen Home Care. - Casper Hansen; Christian Hansen 004; Stephen Alstrup; Christina Lioma (CIKM, 2017)

Sequence Modelling For Analysing Student Interaction with Educational Systems. - Christian Hansen 004; Casper Hansen; Niklas Hjuler; Stephen Alstrup; Christina Lioma (EDM, 2017)

Evaluation Measures for Relevance and Credibility in Ranked Lists. - Christina Lioma; Jakob Grue Simonsen; Birger Larsen (ICTIR, 2017)

Seasonal Web Search Query Selection for Influenza-Like Illness (ILI) Estimation. - Niels Dalum Hansen; Kåre Mølbak; Ingemar J. Cox; Christina Lioma (SIGIR, 2017)

Time-Series Adaptive Estimation of Vaccination Uptake Using Web Search Queries. - Niels Dalum Hansen; Kåre Mølbak; Ingemar J. Cox; Christina Lioma (WWW (Companion Volume), 2017)

A study of metrics of distance and correlation between ranked lists for compositionality detection. - Christina Lioma; Niels Dalum Hansen (Cogn. Syst. Res., 2017)

Dependencies: Formalising Semantic Catenae for Information Retrieval. - Christina Lioma (CoRR, 2017)

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. - Casper Hansen; Christian Hansen 004; Jakob Grue Simonsen; Christina Lioma (CLEF (Working Notes), 2018)

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. - Dongsheng Wang 005; Jakob Grue Simonsen; Birger Larsen; Christina Lioma (CLEF (Working Notes), 2018)

Predicting Antimicrobial Drug Consumption using Web Search Data. - Niels Dalum Hansen; Kåre Mølbak; Ingemar J. Cox; Christina Lioma (DH, 2018)

To Phrase or Not to Phrase - Impact of User versus System Term Dependence upon Retrieval. - Christina Lioma; Birger Larsen; Peter Ingwersen (Data Inf. Manag., 2018)

Neural Weakly Supervised Fact Check-Worthiness Detection with Contrastive Sampling-Based Ranking Loss. - Casper Hansen; Christian Hansen 004; Jakob Grue Simonsen; Christina Lioma (CLEF (Working Notes), 2019)

Modelling End-of-Session Actions in Educational Systems. - Christian Hansen 004; Casper Hansen; Stephen Alstrup; Christina Lioma (EDM, 2019)

MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims. - Isabelle Augenstein; Christina Lioma; Dongsheng Wang 005; Lucas Chaves Lima; Casper Hansen; Christian Hansen 004; Jakob Grue Simonsen (EMNLP/IJCNLP (1), 2019)

Neural Speed Reading with Structural-Jump-LSTM. - Christian Hansen 004; Casper Hansen; Stephen Alstrup; Jakob Grue Simonsen; Christina Lioma (ICLR (Poster), 2019)

Contextually Propagated Term Weights for Document Representation. - Casper Hansen; Christian Hansen 004; Stephen Alstrup; Jakob Grue Simonsen; Christina Lioma (SIGIR, 2019)

Unsupervised Neural Generative Semantic Hashing. - Casper Hansen; Christian Hansen 004; Jakob Grue Simonsen; Stephen Alstrup; Christina Lioma (SIGIR, 2019)

Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking. - Casper Hansen; Christian Hansen 004; Stephen Alstrup; Jakob Grue Simonsen; Christina Lioma (WWW (Companion Volume), 2019)

Contextual Compositionality Detection with External Knowledge Bases and Word Embeddings. - Dongsheng Wang 005; Qiuchi Li; Lucas Chaves Lima; Jakob Grue Simonsen; Christina Lioma (WWW (Companion Volume), 2019)

Contextual Compositionality Detection with External Knowledge Bases andWord Embeddings. - Dongsheng Wang 005; Qiuchi Li; Lucas Chaves Lima; Jakob Grue Simonsen; Christina Lioma (CoRR, 2019)

Modelling Sequential Music Track Skips using a Multi-RNN Approach. - Christian Hansen 004; Casper Hansen; Stephen Alstrup; Jakob Grue Simonsen; Christina Lioma (CoRR, 2019)

Generating Fact Checking Explanations. - Pepa Atanasova; Jakob Grue Simonsen; Christina Lioma; Isabelle Augenstein (ACL, 2020)

Fact Check-Worthiness Detection with Contrastive Ranking. - Casper Hansen; Christian Hansen 004; Jakob Grue Simonsen; Christina Lioma (CLEF, 2020)

A Diagnostic Study of Explainability Techniques for Text Classification. - Pepa Atanasova; Jakob Grue Simonsen; Christina Lioma; Isabelle Augenstein (EMNLP (1), 2020)

Encoding word order in complex embeddings. - Benyou Wang; Donghao Zhao; Christina Lioma; Qiuchi Li; Peng Zhang 002; Jakob Grue Simonsen (ICLR, 2020)

Factuality Checking in News Headlines with Eye Tracking. - Christian Hansen 004; Casper Hansen; Jakob Grue Simonsen; Birger Larsen; Stephen Alstrup; Christina Lioma (SIGIR, 2020)

Content-aware Neural Hashing for Cold-start Recommendation. - Casper Hansen; Christian Hansen 004; Jakob Grue Simonsen; Stephen Alstrup; Christina Lioma (SIGIR, 2020)

Unsupervised Semantic Hashing with Pairwise Reconstruction. - Casper Hansen; Christian Hansen 004; Jakob Grue Simonsen; Stephen Alstrup; Christina Lioma (SIGIR, 2020)

Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19. - Lucas Chaves Lima; Casper Hansen; Christian Hansen 004; Dongsheng Wang 005; Maria Maistro; Birger Larsen; Jakob Grue Simonsen; Christina Lioma (CoRR, 2020)

Report on CLEF 2020. - Avi Arampatzis; Linda Cappellato; Carsten Eickhoff; Nicola Ferro 001; Hideo Joho; Evangelos Kanoulas; Christina Lioma; Aurélie Névéol; Theodora Tsikrika; Stefanos Vrochidis (SIGIR Forum, 2020)

Principled Multi-Aspect Evaluation Measures of Rankings. - Maria Maistro; Lucas Chaves Lima; Jakob Grue Simonsen; Christina Lioma (CIKM, 2021)

Multi-head Self-attention with Role-Guided Masks. - Dongsheng Wang 005; Casper Hansen; Lucas Chaves Lima; Christian Hansen 004; Maria Maistro; Jakob Grue Simonsen; Christina Lioma (ECIR (2), 2021)

On Position Embeddings in BERT. - Benyou Wang; Lifeng Shang; Christina Lioma; Xin Jiang 002; Hao Yang 006; Qun Liu 001; Jakob Grue Simonsen (ICLR, 2021)

Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering. - Christian Hansen 004; Casper Hansen; Jakob Grue Simonsen; Christina Lioma (WWW, 2021)

Unsupervised Multi-Index Semantic Hashing. - Christian Hansen 004; Casper Hansen; Jakob Grue Simonsen; Stephen Alstrup; Christina Lioma (WWW, 2021)

What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis. - Dimitris Gkoumas; Qiuchi Li; Christina Lioma; Yijun Yu; Dawei Song 001 (Inf. Fusion, 2021)

Quantum-inspired multimodal fusion for video sentiment analysis. - Qiuchi Li; Dimitris Gkoumas; Christina Lioma; Massimo Melucci (Inf. Fusion, 2021)

Diagnostics-Guided Explanation Generation. - Pepa Atanasova; Jakob Grue Simonsen; Christina Lioma; Isabelle Augenstein (AAAI, 2022)

Beyond Emotion: A Multi-Modal Dataset for Human Desire Understanding. - Ao Jia; Yu He; Yazhou Zhang; Sagar Uprety; Dawei Song 001; Christina Lioma (NAACL-HLT, 2022)

Learning Recommendations from User Actions in the Item-poor Insurance Domain. - Simone Borg Bruun; Maria Maistro; Christina Lioma (RecSys, 2022)

Template-based Recruitment Email Generation For Job Recommendation. - Qiuchi Li; Christina Lioma (CoRR, 2022)

Fact Checking with Insufficient Evidence. - Pepa Atanasova; Jakob Grue Simonsen; Christina Lioma; Isabelle Augenstein (Trans. Assoc. Comput. Linguistics, 2022)

Complex-valued Neural Network-based Quantum Language Models. - Peng Zhang 002; Wenjie Hui; Benyou Wang; Donghao Zhao; Dawei Song 001; Christina Lioma; Jakob Grue Simonsen (ACM Trans. Inf. Syst., 2022)

Faithfulness Tests for Natural Language Explanations. - Pepa Atanasova; Oana-Maria Camburu; Christina Lioma; Thomas Lukasiewicz; Jakob Grue Simonsen; Isabelle Augenstein (ACL (2), 2023)

Graph-Based Recommendation for Sparse and Heterogeneous User Interactions. - Simone Borg Bruun; Kacper Kenji Lesniak; Mirko Biasini; Vittorio Carmignani; Panagiotis Filianos; Christina Lioma; Maria Maistro (ECIR (1), 2023)

Joint Extraction and Classification of Danish Competences for Job Matching. - Qiuchi Li; Christina Lioma (ECIR (2), 2023)

Adapting Pre-trained Language Models for Quantum Natural Language Processing. - Qiuchi Li; Benyou Wang; Yudong Zhu; Christina Lioma; Qun Liu 001 (CoRR, 2023)

Language Generation from Human Brain Activities. - Ziyi Ye; Qingyao Ai; Yiqun Liu 001; Min Zhang 006; Christina Lioma; Tuukka Ruotsalo (CoRR, 2023)

Investigating the Impact of Model Instability on Explanations and Uncertainty. - Sara Marjanovic; Isabelle Augenstein; Christina Lioma (ACL (Findings), 2024)

DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models. - Sara Marjanovic; Haeun Yu; Pepa Atanasova; Maria Maistro; Christina Lioma; Isabelle Augenstein (EMNLP (Findings), 2024)

Query Augmentation with Brain Signals. - Ziyi Ye; Jingtao Zhan; Qingyao Ai; Yiqun Liu 001; Maarten de Rijke; Christina Lioma; Tuukka Ruotsalo (ACM Multimedia, 2024)

Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance. - Theresia Veronika Rampisela; Tuukka Ruotsalo; Maria Maistro; Christina Lioma (SIGIR, 2024)

Digital-analog hybrid matrix multiplication processor for optical neural networks. - Xiansong Meng; Deming Kong; Kwangwoong Kim; Qiuchi Li; Po Dong; Ingemar J. Cox; Christina Lioma; Hao Hu (CoRR, 2024)

Query Augmentation by Decoding Semantics from Brain Signals. - Ziyi Ye; Jingtao Zhan; Qingyao Ai; Yiqun Liu 001; Maarten de Rijke; Christina Lioma; Tuukka Ruotsalo (CoRR, 2024)

From Internal Conflict to Contextual Adaptation of Language Models. - Sara Vera Marjanovic; Haeun Yu; Pepa Atanasova; Maria Maistro; Christina Lioma; Isabelle Augenstein (CoRR, 2024)

A Reality Check on Context Utilisation for Retrieval-Augmented Generation. - Lovisa Hagström; Sara Vera Marjanovic; Haeun Yu; Arnav Arora; Christina Lioma; Maria Maistro; Pepa Atanasova; Isabelle Augenstein (ACL (1), 2025)

Feature Attribution Explanations of Session-Based Recommendations. - Simone Borg Bruun; Maria Maistro; Christina Lioma (ECIR (2), 2025)

Are Representation Disentanglement and Interpretability Linked in Recommendation Models? - A Critical Review and Reproducibility Study. - Ervin Dervishaj; Tuukka Ruotsalo; Maria Maistro; Christina Lioma (ECIR (4), 2025)

As easy as PIE: understanding when pruning causes language models to disagree. - Pietro Tropeano; Maria Maistro; Tuukka Ruotsalo; Christina Lioma (NAACL (Findings), 2025)

An EEG Dataset of Word-level Brain Responses for Semantic Text Relevance. - Vadym Gryshchuk; Michiel M. A. Spapé; Maria Maistro; Christina Lioma; Tuukka Ruotsalo (SIGIR, 2025)

Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier. - Theresia Veronika Rampisela; Tuukka Ruotsalo; Maria Maistro; Christina Lioma (WWW, 2025)

Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain. - Simone Borg Bruun; Christina Lioma; Maria Maistro (Trans. Recomm. Syst., 2025)

Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study. - Theresia Veronika Rampisela; Maria Maistro; Tuukka Ruotsalo; Christina Lioma (Trans. Recomm. Syst., 2025)