Christina Lioma

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 109

Top Venues

University of Glasgow, UK (PHD)

Education History

University of Glasgow, UK

PHD

Publications

Ziyi Ye, Jingtao Zhan, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Christina Lioma, Tuukka Ruotsalo
Query Augmentation by Decoding Semantics from Brain Signals. CoRR (2024)
Sara Marjanovic, Isabelle Augenstein, Christina Lioma
Investigating the Impact of Model Instability on Explanations and Uncertainty. ACL (Findings) (2024)
Sara Vera Marjanovic, Isabelle Augenstein, Christina Lioma
Investigating the Impact of Model Instability on Explanations and Uncertainty. CoRR (2024)
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 (2024)
Simone Borg Bruun, Christina Lioma, Maria Maistro
Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain. CoRR (2024)
Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma
Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance. SIGIR (2024)
Sara Vera Marjanovic, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein
From Internal Conflict to Contextual Adaptation of Language Models. CoRR (2024)
Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma
Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance. CoRR (2024)
Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein
Faithfulness Tests for Natural Language Explanations. CoRR (2023)
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)
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 (2023)
Ziyi Ye, Qingyao Ai, Yiqun Liu, Min Zhang, Christina Lioma, Tuukka Ruotsalo
Language Generation from Human Brain Activities. CoRR (2023)
Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Christina Lioma
Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study. CoRR (2023)
Qiuchi Li, Benyou Wang, Yudong Zhu, Christina Lioma, Qun Liu
Adapting Pre-trained Language Models for Quantum Natural Language Processing. CoRR (2023)
Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein
Faithfulness Tests for Natural Language Explanations. ACL (2) (2023)
Qiuchi Li, Christina Lioma
Joint Extraction and Classification of Danish Competences for Job Matching. ECIR (2) (2023)
Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma
Principled Multi-Aspect Evaluation Measures of Rankings. CoRR (2022)
Simone Borg Bruun, Maria Maistro, Christina Lioma
Learning Recommendations from User Actions in the Item-poor Insurance Domain. CoRR (2022)
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) (2022)
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
Fact Checking with Insufficient Evidence. CoRR (2022)
Simone Borg Bruun, Maria Maistro, Christina Lioma
Learning Recommendations from User Actions in the Item-poor Insurance Domain. RecSys (2022)
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)
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
Fact Checking with Insufficient Evidence. Trans. Assoc. Comput. Linguistics 10 (2022)
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
Diagnostics-Guided Explanation Generation. AAAI (2022)
Qiuchi Li, Christina Lioma
Template-based Recruitment Email Generation For Job Recommendation. CoRR (2022)
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
Diagnostics-Guided Explanation Generation. CoRR (2021)
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)
Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Christina Lioma
Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering. CoRR (2021)
Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
Unsupervised Multi-Index Semantic Hashing. CoRR (2021)
Qiuchi Li, Dimitris Gkoumas, Christina Lioma, Massimo Melucci
Quantum-inspired multimodal fusion for video sentiment analysis. Inf. Fusion 65 (2021)
Qiuchi Li, Dimitris Gkoumas, Christina Lioma, Massimo Melucci
Quantum-inspired Multimodal Fusion for Video Sentiment Analysis. CoRR (2021)
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 (2021)
Benyou Wang, Lifeng Shang, Christina Lioma, Xin Jiang, Hao Yang, Qun Liu, Jakob Grue Simonsen
On Position Embeddings in BERT. ICLR (2021)
Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Christina Lioma
Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering. WWW (2021)
Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
Unsupervised Multi-Index Semantic Hashing. WWW (2021)
Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma
Principled Multi-Aspect Evaluation Measures of Rankings. CIKM (2021)
Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
Unsupervised Semantic Hashing with Pairwise Reconstruction. CoRR (2020)
Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
Content-aware Neural Hashing for Cold-start Recommendation. CoRR (2020)
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) (2020)
Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Birger Larsen, Stephen Alstrup, Christina Lioma
Factuality Checking in News Headlines with Eye Tracking. SIGIR (2020)
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
Generating Fact Checking Explanations. CoRR (2020)
Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
Content-aware Neural Hashing for Cold-start Recommendation. SIGIR (2020)
Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Christina Lioma
Fact Check-Worthiness Detection with Contrastive Ranking. CLEF (2020)
Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
Unsupervised Semantic Hashing with Pairwise Reconstruction. SIGIR (2020)
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 (2020)
Benyou Wang, Donghao Zhao, Christina Lioma, Qiuchi Li, Peng Zhang, Jakob Grue Simonsen
Encoding word order in complex embeddings. ICLR (2020)
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
A Diagnostic Study of Explainability Techniques for Text Classification. EMNLP (1) (2020)
Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Birger Larsen, Stephen Alstrup, Christina Lioma
Factuality Checking in News Headlines with Eye Tracking. CoRR (2020)
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 (2020)
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
A Diagnostic Study of Explainability Techniques for Text Classification. CoRR (2020)
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
Generating Fact Checking Explanations. ACL (2020)
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)
Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma
Contextually Propagated Term Weights for Document Representation. SIGIR (2019)
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)
Benyou Wang, Donghao Zhao, Christina Lioma, Qiuchi Li, Peng Zhang, Jakob Grue Simonsen
Encoding word order in complex embeddings. CoRR (2019)
Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
Unsupervised Neural Generative Semantic Hashing. SIGIR (2019)
Christian Hansen, Casper Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma
Modelling Sequential Music Track Skips using a Multi-RNN Approach. CoRR (2019)
Christian Hansen, Casper Hansen, Stephen Alstrup, Christina Lioma
Modelling End-of-Session Actions in Educational Systems. CoRR (2019)
Christian Hansen, Casper Hansen, Stephen Alstrup, Christina Lioma
Modelling End-of-Session Actions in Educational Systems. EDM (2019)
Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma
Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking. CoRR (2019)
Christian Hansen, Casper Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma
Neural Speed Reading with Structural-Jump-LSTM. CoRR (2019)
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)
Christian Hansen, Casper Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma
Neural Speed Reading with Structural-Jump-LSTM. ICLR (Poster) (2019)
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)
Dongsheng Wang, Qiuchi Li, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma
Contextual Compositionality Detection with External Knowledge Bases andWord Embeddings. CoRR (2019)
Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
Unsupervised Neural Generative Semantic Hashing. CoRR (2019)
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 (2019)
Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma
Contextually Propagated Term Weights for Document Representation. CoRR (2019)
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)
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) (2018)
Niels Dalum Hansen, Kåre Mølbak, Ingemar J. Cox, Christina Lioma
Seasonal Web Search Query Selection for Influenza-Like Illness (ILI) Estimation. CoRR (2018)
Niels Dalum Hansen, Kåre Mølbak, Ingemar J. Cox, Christina Lioma
Predicting Antimicrobial Drug Consumption using Web Search Data. DH (2018)
Niels Dalum Hansen, Kåre Mølbak, Ingemar J. Cox, Christina Lioma
Predicting antimicrobial drug consumption using web search data. CoRR (2018)
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)
Christina Lioma, Birger Larsen, Peter Ingwersen
To Phrase or Not to Phrase - Impact of User versus System Term Dependence Upon Retrieval. CoRR (2018)
Wei Lu, Qikai Cheng, Christina Lioma
Fixed versus Dynamic Co-Occurrence Windows in TextRank Term Weights for Information Retrieval. CoRR (2017)
Christian Hansen, Casper Hansen, Niklas Hjuler, Stephen Alstrup, Christina Lioma
Sequence Modelling For Analysing Student Interaction with Educational Systems. EDM (2017)
Christina Lioma, Niels Dalum Hansen
A Study of Metrics of Distance and Correlation Between Ranked Lists for Compositionality Detection. CoRR (2017)
Christina Lioma, Birger Larsen, Hinrich Schütze, Peter Ingwersen
A Subjective Logic Formalisation of the Principle of Polyrepresentation for Information Needs. CoRR (2017)
Christina Lioma, Jakob Grue Simonsen, Birger Larsen
Evaluation Measures for Relevance and Credibility in Ranked Lists. CoRR (2017)
Christina Lioma, Birger Larsen, Peter Ingwersen
Preliminary Experiments using Subjective Logic for the Polyrepresentation of Information Needs. CoRR (2017)
Christian Hansen, Casper Hansen, Niklas Hjuler, Stephen Alstrup, Christina Lioma
Sequence Modelling For Analysing Student Interaction with Educational Systems. CoRR (2017)
Birger Larsen, Christina Lioma, Arjen P. de Vries
Report on TBAS 2012: Workshop on Task-Based and Aggregated Search. CoRR (2017)
Casper Hansen, Christian Hansen, Stephen Alstrup, Christina Lioma
Smart City Analytics: Ensemble-Learned Prediction of Citizen Home Care. CoRR (2017)
Christina Lioma, Birger Larsen, Wei Lu
Rhetorical relations for information retrieval. CoRR (2017)
Niels Dalum Hansen, Kåre Mølbak, Ingemar J. Cox, Christina Lioma
Time-Series Adaptive Estimation of Vaccination Uptake Using Web Search Queries. CoRR (2017)
Casper Hansen, Christian Hansen, Stephen Alstrup, Christina Lioma
Smart City Analytics: Ensemble-Learned Prediction of Citizen Home Care. CIKM (2017)
Christina Lioma, Jakob Grue Simonsen, Birger Larsen
Evaluation Measures for Relevance and Credibility in Ranked Lists. ICTIR (2017)
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)
Niels Dalum Hansen, Kåre Mølbak, Ingemar J. Cox, Christina Lioma
Seasonal Web Search Query Selection for Influenza-Like Illness (ILI) Estimation. SIGIR (2017)
Christina Lioma
Dependencies: Formalising Semantic Catenae for Information Retrieval. CoRR (2017)
Christina Lioma, Roi Blanco
Part of Speech Based Term Weighting for Information Retrieval. CoRR (2017)
Christina Lioma, Niels Dalum Hansen
A study of metrics of distance and correlation between ranked lists for compositionality detection. Cogn. Syst. Res. 44 (2017)
Brian Brost, Yevgeny Seldin, Ingemar J. Cox, Christina Lioma
Multi-Dueling Bandits and Their Application to Online Ranker Evaluation. CoRR (2016)
Casper Petersen, Jakob Grue Simonsen, Kalervo Järvelin, Christina Lioma
Adaptive Distributional Extensions to DFR Ranking. CIKM (2016)
Birger Larsen, Christina Lioma
On the Need for and Provision for an 'IDEAL' Scholarly Information Retrieval Test Collection. BIR@ECIR (2016)
Brian Brost, Ingemar J. Cox, Yevgeny Seldin, Christina Lioma
An Improved Multileaving Algorithm for Online Ranker Evaluation. SIGIR (2016)
Christina Lioma, Fabien Tarissan, Jakob Grue Simonsen, Casper Petersen, Birger Larsen
Exploiting the Bipartite Structure of Entity Grids for Document Coherence and Retrieval. CoRR (2016)
Casper Petersen, Jakob Grue Simonsen, Kalervo Järvelin, Christina Lioma
Adaptive Distributional Extensions to DFR Ranking. CoRR (2016)
Christina Lioma, Birger Larsen, Wei Lu, Yong Huang
A study of factuality, objectivity and relevance: three desiderata in large-scale information retrieval? BDCAT (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christina Lioma