Publications

2024

  1. Conference paper
    D5
    “CardiO: Predicting Cardinality from Online Sources,” in The ACM Web Conference 2024 (WWW 2024), Singapore.
  2. Conference paper
    D5
    “Faithful Temporal Question Answering over Heterogeneous Sources,” in The ACM Web Conference 2024 (WWW 2024), Singapore.
  3. Conference paper
    D5
    “TIQ: A Benchmark for Temporal Question Answering with Implicit Time Constraints,” in The ACM Web Conference 2024 (WWW 2024), Singapore, Singapore, 2024.
  4. Paper
    D5
    “Multi-Cultural Commonsense Knowledge Distillation,” 2024. [Online]. Available: https://arxiv.org/abs/2402.10689.
  5. Conference paper
    D5
    “FASETS: Discovering Faceted Sets of Entities,” in The ACM Web Conference 2024 (WWW 2024), Singapore, Singapore, 2024.
  6. Article
    D5
    “Completeness, Recall, and Negation in Open-world Knowledge Bases: A Survey,” ACM Computing Surveys, vol. 56, no. 6, 2024.
  7. Conference paper
    D5
    “SIRUP: Search-based Book Recommendation Playground,” in WSDM ’24, 17th ACM International Conference on Web Search and Data Mining, Merida, Mexico, 2024.
  8. Conference paper
    D5
    “Conversational Search with Tail Entities,” in Advances in Information Retrieval (ECIR 2024), Glasgow, UK, 2024.

2023

  1. Thesis
    D5
    “Learning Filters to Improve Social Media Search,” Universität des Saarlandes, Saarbrücken, 2023.
  2. Conference paper
    D5
    “UnCommonSense in Action! Informative Negations for Commonsense Knowledge Bases,” in WSDM ’23, 16th ACM International Conference on Web Search and Data Mining, Singapore, 2023.
  3. Paper
    D5
    “Can Large Language Models Generate Salient Negative Statements?,” 2023. [Online]. Available: https://arxiv.org/abs/2305.16755.
  4. Thesis
    D5
    “Enriching Open-world Knowledge Graphs with Expressive Negative Statements,” 2023.
  5. Thesis
    D5
    “Leveraging Self-Supervised Learning in Domain-Specific Language Models,” Universität des Saarlandes, Saarbrücken, 2023.
  6. Conference paper
    D5
    “A Study of Term-Topic Embeddings for Ranking,” in Advances in Information Retrieval (ECIR 2023), Dublin, Ireland, 2023.
  7. Paper
    D5
    “Knowledge Base Completion for Long-Tail Entities,” 2023. [Online]. Available: https://arxiv.org/abs/2306.17472.
  8. Conference paper
    D5
    “Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks,” in SIGIR ’23, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan, 2023.
  9. Paper
    D5
    “CompMix: A Benchmark for Heterogeneous Question Answering,” 2023. [Online]. Available: https://arxiv.org/abs/2306.12235.
  10. Conference paper
    D5
    “CLOCQ: A Toolkit for Fast and Easy Access to Knowledge Bases,” in BTW 2023, Dresden, Germany, 2023.
  11. Conference paper
    D5
    “Personal Data for Personal Use: Vision or Reality?,” in SIGMOD ’23 Companion, Seattle WA USA, 2023.
  12. Conference paper
    D5
    “Enhancing Explainability and Scrutability of Recommender Systems,” in BTW 2023, Dresden, Germany, 2023.
  13. Article
    D5
    “Answering Count Questions with Structured Answers from Text,” Journal of Web Semantics, vol. 76, 2023.
  14. Conference paper
    D5
    “CoQEx: Entity Counts Explained,” in WSDM ’23, 16th ACM International Conference on Web Search and Data Mining, Singapore, 2023.
  15. Conference paper
    D5
    “Class Cardinality Comparison as a Fermi Problem,” in The ACM Web Conference 2023 (WWW 2023), Austin, TX, USA, 2023.
  16. Paper
    D5
    “Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation,” 2023. [Online]. Available: https://arxiv.org/abs/2310.13505.
  17. Thesis
    D5
    “Subgroup Discovery for Structured Target Concepts,” Universität des Saarlandes, Saarbrücken, 2023.
  18. Conference paper
    D5
    “Extracting Cultural Commonsense Knowledge at Scale,” in The ACM Web Conference 2023 (WWW 2023), Austin, TX, USA, 2023.
  19. Article
    D5
    “Refined Commonsense Knowledge from Large-Scale Web Contents,” IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 8, 2023.
  20. Paper
    D5
    “Large Language Models and Knowledge Graphs: Opportunities and Challenges,” 2023. [Online]. Available: https://arxiv.org/abs/2308.06374.
  21. Paper
    D5
    “Completeness, Recall, and Negation in Open-World Knowledge Bases: A Survey,” 2023. [Online]. Available: https://arxiv.org/abs/2305.05403.
  22. Paper
    D5
    “Extracting Multi-valued Relations from Language Models,” 2023. [Online]. Available: https://arxiv.org/abs/2307.03122v2.
  23. Conference paper
    D5
    “Search-based Recommendation : The Case for Difficult Predictions,” in The ACM Web Conference 2023 (WWW 2023), Austin, TX, USA, 2023.
  24. Conference paper
    D5
    “Unveiling Challenging Cases in Text-based Recommender Systems,” in Perspectives on the Evaluation of Recommender Systems 2023, Singapore, Singapore, 2023.
  25. Paper
    D5
    “Recommendations by Concise User Profiles from Review Text,” 2023. [Online]. Available: https://arxiv.org/abs/2311.01314.
  26. Article
    D5
    “Facilitating COVID Recognition from X-Rays with Computer Vision Models and Transfer Learning,” Multimedia Tools and Applications, 2023.
  27. Article
    D5
    “Evaluating the Knowledge Base Completion Potential of GPT,” Findings of EMNLP 2023, 2023.
  28. Conference paper
    D5
    “Evaluating Language Models for Knowledge Base Completion,” in The Semantic Web (ESWC 2023), Hersonissos, Greece, 2023.
  29. Paper
    D5
    “Evaluating Language Models for Knowledge Base Completion,” 2023. [Online]. Available: https://arxiv.org/abs/2303.11082.
  30. Conference paper
    D5
    “Approximate Query Answering over Open Data,” in HILDA 2023, Workshop on Human-In-the-Loop Data Analytics, Seattle, WA, USA, 2023.

2022

  1. Conference paper
    D5
    “Utilizing Language Model Probes for Knowledge Graph Repair,” in Wiki Workshop 2022, Virtual Event, 2022.
  2. Conference paper
    D5
    “UnCommonSense: Informative Negative Knowledge about Everyday Concepts,” in CIKM ’22, 31st ACM International Conference on Information and Knowledge Management, Atlanta GA USA, 2022.
  3. Paper
    D5
    “UnCommonSense: Informative Negative Knowledge about Everyday Concepts,” 2022. [Online]. Available: https://arxiv.org/abs/2208.09292.
  4. Conference paper
    D5
    “CSK-Detector: Commonsense in Object Detection,” in IEEE International Conference on Big Data, Osaka, Japan, 2022.
  5. Conference paper
    D5
    “Conversational Question Answering on Heterogeneous Sources,” in SIGIR ’22, 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 2022.
  6. Conference paper
    D5
    “Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases,” in WSDM ’22, Fifteenth ACM International Conference on Web Search and Data Mining, Tempe, AZ, USA (Virutal Event), 2022.
  7. Conference paper
    D5
    “Question Entity and Relation Linking to Knowledge Bases via CLOCQ,” in Joint Proceedings of SemREC 2022 and SMART 2022 co-located with 21st International Semantic Web Conference (ISWC 2022), Hybrid Event, Hanghzou, China, 2022.
  8. Paper
    D5
    “Conversational Question Answering on Heterogeneous Sources,” 2022. [Online]. Available: https://arxiv.org/abs/2204.11677.
  9. Thesis
    D5IMPR-CS
    “Knowledge Extraction from Fictional Texts,” Universität des Saarlandes, Saarbrücken, 2022.
  10. Article
    D5
    “Management of Implicit Requirements Data in Large SRS Documents: Taxonomy and Techniques,” Sigmod Record, vol. 51, no. 2, 2022.
  11. Thesis
    D5IMPR-CS
    “More than the sum of its parts,” Universität des Saarlandes, Saarbrücken, 2022.
  12. Conference paper
    D5
    “Answering Count Queries with Explanatory Evidence,” in SIGIR ’22, 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 2022.
  13. Paper
    D5
    “Answering Count Questions with Structured Answers from Text,” 2022. .
  14. Thesis
    D5IMPR-CS
    “Data Science Methods for the Analysis of Controversial Social Media Discussions,” Universität des Saarlandes, Saarbrücken, 2022.
  15. Conference paper
    D5
    “Label-Descriptive Patterns and Their Application to Characterizing Classification Errors,” in Proceedings of the 39th International Conference on Machine Learning (ICML 2022), Baltimore, MA, USA, 2022.
  16. Conference paper
    D5
    “Enhancing Knowledge Bases with Quantity Facts,” in WWW ’22, ACM Web Conference, Virtual Event, Lyon, France, 2022.
  17. Thesis
    D5IMPR-CS
    “Entities with Quantities: Extraction, Search and Ranking,” Universität des Saarlandes, Saarbrücken, 2022.
  18. Proceedings
    D5
    Eds., Wikidata Workshop 2022. CEUR-WS, 2022.
  19. Article
    D5
    “Responsible Model Deployment via Model-agnostic Uncertainty Learning,” Machine Learning, vol. 112, 2022.
  20. Conference paper
    D5
    “Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning,” in 21st IEEE International Conference on Data Mining (ICDM 2021), Auckland, New Zealand (Virtual Conference), 2022.
  21. Thesis
    D5IMPR-CS
    “Operationalizing Fairness for Responsible Machine Learning,” Universität des Saarlandes, Saarbrücken, 2022.
  22. Book
    D5
    Pretrained Transformers for Text Ranking : BERT and Beyond. Cham: Springer International Publishin, 2022.
  23. Conference paper
    D5
    “Estimating Mutual Information via Geodesic kNN,” in Proceedings of the SIAM International Conference on Data Mining (SDM 2022), Alexandria, VA, USA, 2022.
  24. Paper
    D5
    “Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires,” 2022. [Online]. Available: https://arxiv.org/abs/2204.10432.
  25. Conference paper
    D5
    “Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires,” in The 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, Ireland, 2022.
  26. Paper
    D5
    “Extracting Cultural Commonsense Knowledge at Scale,” 2022. [Online]. Available: https://arxiv.org/abs/2210.07763.
  27. Conference paper
    D5
    “Materialized Knowledge Bases from Commonsense Transformers,” in Proceedings of the First Workshop on Commonsense Representation and Reasoning (CSRR 2022), Dublin, Ireland, 2022.
  28. Conference paper
    D5
    “Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking,” in Advances in Information Retrieval (ECIR 2022), Stavanger, Norway, 2022.
  29. Article
    D5
    “Commonsense Based Text Mining on Urban Policy,” Language Resources and Evaluation, 2022.
  30. Paper
    D5
    “Do Children Texts Hold The Key To Commonsense Knowledge?,” 2022. [Online]. Available: https://arxiv.org/abs/2210.04530.
  31. Conference paper
    D5
    “Do Children Texts Hold The Key To Commonsense Knowledge?,” in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi, United Arab Emirates, 2022.
  32. Proceedings
    D5
    Eds., Knowledge Base Construction from Pre-trained Language Models 2022. CEUR-WS, 2022.
  33. Article
    D5
    “Predicting Document Coverage for Relation Extraction,” Transactions of the Association of Computational Linguistics, vol. 10, 2022.
  34. Thesis
    D5IMPR-CS
    “Extracting Personal Information from Conversations,” Universität des Saarlandes, Saarbrücken, 2022.
  35. Conference paper
    D5
    “Dense Retrieval with Entity Views,” in CIKM ’22, 31st ACM International Conference on Information and Knowledge Management, Atlanta GA USA, 2022.
  36. Article
    D5
    “Computational Estimation by Scientific Data Mining with Classical Methods to Automate Learning Strategies of Scientists,” ACM Transactions on Knowledge Discovery from Data, vol. 16, no. 5, 2022.
  37. Article
    D5
    “Prediction Tool on Fine Particle Pollutants and Air Quality for Environmental Engineering,” SN Computer Science, vol. 3, no. 3, 2022.
  38. Thesis
    D5
    “Coreference Resolution for Extracting Quantity-Facts from Multiple Sentences,” Universität des Saarlandes, Saarbrücken, 2022.

2021

  1. Article
    D5
    “MasakhaNER: Named Entity Recognition for African Languages,” Transactions of the Association for Computational Linguistics, vol. 9, 2021.
  2. Conference paper
    D4D5
    “Accounting for Model Uncertainty in Algorithmic Discrimination,” in AIES ’21, Fourth AAAI/ACM Conference on Artificial Intelligence, Ethics and Society, Virtual Conference, 2021.
  3. Conference paper
    D5
    “Negative Knowledge for Open-world Wikidata,” in The Web Conference (WWW 2021), Ljubljana, Slovenia, 2021.
  4. Article
    D5
    “Negative Statements Considered Useful,” Journal of Web Semantics, vol. 71, 2021.
  5. Article
    D5
    “Wikinegata: a Knowledge Base with Interesting Negative Statements,” Proceedings of the VLDB Endowment (Proc. VLDB 2021), vol. 14, no. 12, 2021.
  6. Conference paper
    D5
    “Neguess: Wikidata-entity Guessing Game with Negative Clues,” in Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks (ISWC-Posters-Demos-Industry 2021), Virtual Conference, 2021.
  7. Conference paper
    D5
    “Discovering Reliable Causal Rules,” in Proceedings of the SIAM International Conference on Data Mining (SDM 2021), Virtual Conference, 2021.
  8. Conference paper
    D5
    “Neural Data-to-Text Generation with LM-based Text Augmentation,” in The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), Online, 2021.
  9. Paper
    D5
    “Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases,” 2021. [Online]. Available: https://arxiv.org/abs/2108.08597.
  10. Thesis
    D5
    “CLOCQ: Efficient Search Space Reduction for Complex Question Answering over Knowledge Bases,” Universität des Saarlandes, Saarbrücken, 2021.
  11. Conference paper
    D5
    “KnowFi: Knowledge Extraction from Long Fictional Texts,” in Automated Knowledge Base Construction (AKBC 2021), Virtual Conference, 2021.
  12. Conference paper
    D5
    “Automating the Classification of Requirements Data,” in IEEE International Conference on Big Data, Orlando, FL, USA (Virtual Event), 2021.
  13. Article
    D5
    “Tiered Sampling: An Efficient Method for Counting Sparse Motifs in Massive Graph Streams,” ACM Transactions on Knowledge Discovery from Data, vol. 15, no. 5, 2021.
  14. Article
    D5BIO
    “CpG Content-dependent Associations between Transcription Factors and Histone Modifications,” PLoS One, vol. 16, no. 4, 2021.
  15. Conference paper
    D5
    “What’s in the Box? Exploring the Inner Life of Neural Networks with Robust Rules,” in Proceedings of the 38th International Conference on Machine Learning (ICML 2021), Virtual Event, 2021.
  16. Conference paper
    D5
    “Plant ‘n’ Seek: Can You Find the Winning Ticket?,” in International Conference on Learning Representations (ICLR 2022), Virtual, 2021.
  17. Paper
    D5
    “Towards Strong Pruning for Lottery Tickets with Non-Zero Biases,” 2021. [Online]. Available: https://arxiv.org/abs/2110.11150.
  18. Conference paper
    D5
    “Differentiable Pattern Set Mining,” in KDD ’21, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, 2021.
  19. Thesis
    D5IMPR-CS
    “Explainable Methods for Knowledge Graph Refinement and Exploration via Symbolic Reasoning,” Universität des Saarlandes, Saarbrücken, 2021.
  20. Thesis
    D5IMPR-CS
    “Enhancing Explainability and Scrutability of Recommender Systems,” Universität des Saarlandes, Saarbrücken, 2021.
  21. Paper
    D5
    “ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models,” 2021. [Online]. Available: https://arxiv.org/abs/2102.09388.
  22. Conference paper
    D5
    “ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models,” in The Web Conference 2021 (WWW 2021), Ljubljana, Slovenia, 2021.
  23. Conference paper
    D5
    “Multispectral Drone Data Analysis on Coastal Dunes,” in IEEE International Conference on Big Data, Orlando, FL, USA (Virtual Event), 2021.
  24. Conference paper
    D5
    “X-Posts Explained: Analyzing and Predicting Controversial Contributions in Thematically Diverse Reddit Forums,” in Proceedings of the Fifteenth International Conference on Web and Social Media (ICWSM 2021), Atlanta, GA, USA, 2021.
  25. Conference paper
    D5
    “Comparing Health Forums: User Engagement, Salient Entities, Medical Detail,” in CSCW ’21 Companion, Virtual Event, USA, 2021.
  26. Paper
    D5
    “Label-Descriptive Patterns and their Application to Characterizing Classification Errors,” 2021. [Online]. Available: https://arxiv.org/abs/2110.09599.
  27. Paper
    D5
    “Factoring Out Prior Knowledge from Low-dimensional Embeddings,” 2021. [Online]. Available: https://arxiv.org/abs/2103.01828.
  28. Conference paper
    D5
    “QuTE: Answering Quantity Queries from Web Tables,” in SIGMOD ’21, International Conference on Management of Data, Xi’an, Shaanxi, China, 2021.
  29. Conference paper
    D5
    “Extracting Contextualized Quantity Facts from Web Tables,” in The Web Conference 2021 (WWW 2021), Ljubljana, Slovenia, 2021.
  30. Paper
    D5
    “Transitivity, Time Consumption, and Quality of Preference Judgments in Crowdsourcing,” 2021. [Online]. Available: https://arxiv.org/abs/2104.08926.
  31. Paper
    D5
    “Complex Temporal Question Answering on Knowledge Graphs,” 2021. [Online]. Available: https://arxiv.org/abs/2109.08935.
  32. Conference paper
    D5
    “Complex Temporal Question Answering on Knowledge Graphs,” in CIKM ’21, 30th ACM International Conference on Information & Knowledge Management, Virtual Event, Australia, 2021.
  33. Thesis
    D5
    “Improving Efficiency of Dense Retrieval Methods with Query Expansion,” Universität des Saarlandes, Saarbrücken, 2021.
  34. Conference paper
    D5
    “DiffIR: Exploring Differences in Ranking Models’ Behavior,” in SIGIR ’21, 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, 2021.
  35. Conference paper
    D5
    “Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs,” in SIGIR ’21, 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, 2021.
  36. Paper
    D5
    “Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs,” 2021. [Online]. Available: https://arxiv.org/abs/2105.04850.
  37. Conference paper
    D5
    “SUSAN: The Structural Similarity Random Walk Kernel,” in Proceedings of the SIAM International Conference on Data Mining (SDM 2021), Virtual Conference, 2021.
  38. Paper
    D5
    “Federated Learning from Small Datasets,” 2021. [Online]. Available: https://arxiv.org/abs/2110.03469.
  39. Paper
    D5
    “Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning,” 2021. [Online]. Available: https://arxiv.org/abs/2109.04432.
  40. Book
    D5
    Pretrained Transformers for Text Ranking : BERT and Beyond. San Rafael, CA: Morgan & Claypool Publishers, 2021.
  41. Conference paper
    D5
    “Simplified Data Wrangling with ir_datasets,” in SIGIR ’21, 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, 2021.
  42. Paper
    D5
    “Simplified Data Wrangling with ir_datasets,” 2021. [Online]. Available: https://arxiv.org/abs/2103.02280.
  43. Paper
    D5
    “How Deep is your Learning: The DL-HARD Annotated Deep Learning Dataset,” 2021. [Online]. Available: https://arxiv.org/abs/2105.07975.
  44. Conference paper
    D5
    “How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset,” in SIGIR ’21, 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, 2021.
  45. Thesis
    D5IMPR-CS
    “Discovering robust dependencies from data,” Universität des Saarlandes, Saarbrücken, 2021.
  46. Thesis
    D5IMPR-CS
    “Information-Theoretic Causal Discovery,” Universität des Saarlandes, Saarbrücken, 2021.
  47. Paper
    D5
    “A Weaker Faithfulness Assumption based on Triple Interactions,” 2021. [Online]. Available: https://arxiv.org/abs/2010.14265.
  48. Conference paper
    D5
    “Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multidimensional Adaptive Histograms,” in Proceedings of the SIAM International Conference on Data Mining (SDM 2021), Virtual Conference, 2021.
  49. Paper
    D5
    “Estimating Mutual Information via Geodesic kNN,” 2021. [Online]. Available: https://arxiv.org/abs/2110.13883.
  50. Conference paper
    D5
    “Discovering Fully Oriented Causal Networks,” in Thirty-Fifth AAAI Conference on Artificial Intelligence, Vancouver, Canada, 2021.
  51. Conference paper
    D5
    “AligNarr: Aligning Narratives on Movies,” in The 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2019), Virtual, 2021.
  52. Conference paper
    D5
    “Exploiting Image-Text Synergy for Contextual Image Captioning,” in Proceedings of the Third Workshop on Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN), Kyiv, Ukraine (Online), 2021.
  53. Conference paper
    D5
    “Towards Leveraging Commonsense Knowledge for Autonomous Driving,” in International Semantic Web Conference (ISWC) 2021: Posters, Demos, and Industry Tracks, Virtual Conference, 2021.
  54. Thesis
    D5IMPR-CS
    “Text-image synergy for multimodal retrieval and annotation,” Universität des Saarlandes, Saarbrücken, 2021.
  55. Conference paper
    D5
    “SANDI: Story-and-Images Alignment,” in The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), Online, 2021.
  56. Paper
    D5
    “CEQE: Contextualized Embeddings for Query Expansion,” 2021. [Online]. Available: https://arxiv.org/abs/2103.05256.
  57. Conference paper
    D5
    “CEQE: Contextualized Embeddings for Query Expansion,” in Advances in Information Retrieval (ECIR 2021), Lucca, Italy (Online Event), 2021.
  58. Thesis
    D5
    “Grounding Depression Detection in Clinical Questionnaires by Detecting Mental Health Symptoms,” Universität des Saarlandes, Saarbrücken, 2021.
  59. Conference paper
    D5
    “Advanced Semantics for Commonsense Knowledge Extraction,” in The Web Conference 2021 (WWW 2021), Ljubljana, Slovenia, 2021.
  60. Paper
    D5
    “Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering,” 2021. [Online]. Available: https://arxiv.org/abs/2105.13662.
  61. Paper
    D5
    “UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text,” 2021. [Online]. Available: https://arxiv.org/abs/2108.08614.
  62. Article
    D5
    “On the Limits of Machine Knowledge: Completeness, Recall and Negation in Web-scale Knowledge Bases,” Proceedings of the VLDB Endowment (Proc. VLDB 2021), vol. 14, no. 12, 2021.
  63. Conference paper
    D5
    “Information to Wisdom: Commonsense Knowledge Extraction and Compilation,” in WSDM ’21, 14th International Conference on Web Search and Data Mining, Virtual Event, Israel, 2021.
  64. Paper
    D5
    “Language Models As or For Knowledge Bases,” 2021. [Online]. Available: https://arxiv.org/abs/2110.04888.
  65. Paper
    D5
    “Commonsense Knowledge Base Construction in the Age of Big Data,” 2021. [Online]. Available: https://arxiv.org/abs/2105.01925.
  66. Conference paper
    D5
    “Pyformlang: An Educational Library for Formal Language Manipulation,” in SIGCSE ’21, The 52nd ACM Technical Symposium on Computer Science Education, Virtual Event, USA, 2021.
  67. Book
    D5
    Question Answering for the Curated Web: Tasks and Methods in QA over Knowledge Bases and Text Collections. San Rafael, CA: Morgan & Claypool, 2021.
  68. Article
    BIOD5
    “Integrative Analysis of Epigenetics Data Identifies Gene-specific Regulatory Elements,” Nucleic Acids Research (London), vol. 49, no. 18, 2021.
  69. Thesis
    D5IMPR-CS
    “Deep Latent-Variable Models for Neural Text Generation,” Universität des Saarlandes, Saarbrücken, 2021.
  70. Thesis
    D5
    “Knowledge Base Stability,” Universität des Saarlandes, Saarbrücken, 2021.
  71. Paper
    D5
    “Predicting Document Coverage for Relation Extraction,” 2021. [Online]. Available: https://arxiv.org/abs/2111.13611.
  72. Conference paper
    D5
    “Exploring Personal Knowledge Extraction from Conversations with CHARM,” in WSDM ’21, 14th International Conference on Web Search and Data Mining, Virtual Event, Israel, 2021.
  73. Conference paper
    D5
    “PRIDE: Predicting Relationships in Conversations,” in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Punta Cana, Dominican Republic, 2021.
  74. Paper
    D5
    “You Get What You Chat: Using Conversations to Personalize Search-based Recommendations,” 2021. [Online]. Available: https://arxiv.org/abs/2109.04716.
  75. Paper
    D5
    “Personalized Entity Search by Sparse and Scrutable User Profiles,” 2021. [Online]. Available: https://arxiv.org/abs/2109.04713.
  76. Conference paper
    D5
    “You Get What You Chat: Using Conversations to Personalize Search-based Recommendations,” in Advances in Information Retrieval (ECIR 2021), Lucca, Italy (Online Event), 2021.
  77. Paper
    D5
    “Counterfactual Explanations for Neural Recommenders,” 2021. [Online]. Available: https://arxiv.org/abs/2105.05008.
  78. Conference paper
    D5
    “Counterfactual Explanations for Neural Recommenders,” in SIGIR ’21, 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, 2021.
  79. Article
    D5
    “Knowledge Graphs 2021: A Data Odyssey,” Proceedings of the VLDB Endowment (Proc. VLDB 2021), vol. 14, no. 12, 2021.
  80. Article
    D5
    “Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases,” Foundations and Trends in Databases, vol. 10, no. 2–4, 2021.
  81. Conference paper
    D5
    “Pretrained Transformers for Text Ranking: BERT and Beyond,” in SIGIR ’21, 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, 2021.
  82. Conference paper
    D5
    “Comparing Score Aggregation Approaches for Document Retrieval with Pretrained Transformers,” in Advances in Information Retrieval (ECIR 2021), Lucca, Italy (Online Event), 2021.
  83. Conference paper
    D5
    “Bag-of-Words Baselines for Semantic Code Search,” in The 1st Workshop on Natural Language Processing for Programming (NLP4Prog 2021), Bangkog, Thailand (Online), 2021.
  84. Article
    D5
    “Contextualized Query Expansion via Unsupervised Chunk Selection for Text Retrieval,” Information Processing & Management, vol. 58, no. 5, 2021.

2020

  1. Paper
    D5
    “Negative Statements Considered Useful,” 2020. [Online]. Available: http://arxiv.org/abs/2001.04425.
  2. Conference paper
    D5
    “Enriching Knowledge Bases with Interesting Negative Statements,” in Automated Knowledge Base Construction (AKBC 2020), Virtual Conference, 2020.
  3. Proceedings
    D5
    Eds., ICTIR ’20. ACM, 2020.
  4. Conference paper
    D5
    “What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization,” in Proceedings of The World Wide Web Conference (WWW 2020), Taipei, Taiwan, 2020.
  5. Paper
    D5
    “Examining the Impact of Algorithm Awareness on Wikidata’s Recommender System Recoin,” 2020. [Online]. Available: https://arxiv.org/abs/2009.09049.
  6. Proceedings
    D5
    Eds., Proceedings of the 7th ACM IKDD CoDS and 25th COMAD. ACM, 2020.
  7. Conference paper
    D5
    “Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions,” in Advances in Information Retrieval (ECIR 2020), Lisbon, Portugal, 2020.
  8. Paper
    D5
    “Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions,” 2020. [Online]. Available: https://arxiv.org/abs/2004.02023.
  9. Thesis
    D5IMPR-CS
    “Causal Inference on Discrete Data,” Universität des Saarlandes, Saarbrücken, 2020.
  10. Conference paper
    D5
    “Counting Query Answers over a DL-Lite Knowledge Base,” in Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan (Virtual), 2020.
  11. Paper
    D5
    “Counting Query Answers over a DL-Lite Knowledge Base (extended version),” 2020. [Online]. Available: https://arxiv.org/abs/2005.05886.
  12. Conference paper
    D5
    “Rewriting Count Queries over DL-Lite TBoxes with Number Restrictions,” in Proceedings of the 33rd International Workshop on Description Logics (DL 2020), Rhodes, Greece (Virtual Event), 2020.
  13. Paper
    D5
    “Joint Reasoning for Multi-Faceted Commonsense Knowledge,” 2020. [Online]. Available: http://arxiv.org/abs/2001.04170.
  14. Conference paper
    D5
    “Joint Reasoning for Multi-Faceted Commonsense Knowledge,” in Automated Knowledge Base Construction (AKBC 2020), Virtual Conference, 2020.
  15. Conference paper
    D5
    “Dice: A Joint Reasoning Framework for Multi-Faceted Commonsense Knowledge,” in ISWC 2020 Posters, Demos, and Industry Tracks, Globally Online, 2020.
  16. Conference paper
    D5
    “DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool,” in The 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain (Online), 2020.
  17. Conference paper
    D5
    “ENTYFI: A System for Fine-grained Entity Typing in Fictional Texts,” in The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Online, 2020.
  18. Conference paper
    D5
    “ENTYFI: Entity Typing in Fictional Texts,” in WSDM ’20, 13th International Conference on Web Search and Data Mining, Houston, TX, USA, 2020.
  19. Conference paper
    D5
    “Explainable Data Decompositions,” in AAAI Technical Track: Machine Learning, New York, NY, USA, 2020.
  20. Conference paper
    D5
    “The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery,” in 20th IEEE International Conference on Data Mining (ICDM 2020), Virtual Conference, 2020.
  21. Article
    D5
    “Completeness and soundness guarantees for conjunctive SPARQL queries over RDF data sources with completeness statements,” Semantic Web, vol. 11, no. 1, 2020.
  22. Conference paper
    D5
    “Sets of Robust Rules, and How to Find Them,” in Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2019), Würzburg, Germany, 2020.
  23. Conference paper
    D5
    “Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual Exclusivity,” in KDD ’20, 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, USA, 2020.
  24. Conference paper
    D5
    “ExCut: Explainable Embedding-Based Clustering over Knowledge Graphs,” in The Semantic Web -- ISWC 2020, Athens, Greece (Virtual Conference), 2020.
  25. Conference paper
    D5
    “Towards Utilizing Knowledge Graph Embedding Models for Conceptual Clustering,” in ISWC 2020 Posters, Demos, and Industry Tracks, Globally Online, 2020.
  26. Conference paper
    D5
    “PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems,” in WSDM ’20, 13th International Conference on Web Search and Data Mining, Houston, TX, USA, 2020.
  27. Article
    D5
    “Uncovering Hidden Semantics of Set Information in Knowledge Bases,” Journal of Web Semantics, vol. 64, 2020.
  28. Conference paper
    D5
    “CounQER: A System for Discovering and Linking Count Information in Knowledge Bases,” in The Semantic Web: ESWC 2020 Satellite Events, Heraklion, Greece, 2020.
  29. Paper
    D5
    “CounQER: A System for Discovering and Linking Count Information in Knowledge Bases,” 2020. [Online]. Available: https://arxiv.org/abs/2005.03529.
  30. Paper
    D5
    “Uncovering Hidden Semantics of Set Information in Knowledge Bases,” 2020. [Online]. Available: http://arxiv.org/abs/2003.03155.
  31. Conference paper
    D5
    “Weaving Text into Tables,” in CIKM ’20, 29th ACM International Conference on Information & Knowledge Management, Virtual Event, Ireland, 2020.
  32. Conference paper
    D5
    “Optimizing Hyper-Phrase Queries,” in ICTIR ’20, ACM SIGIR International Conference on Theory of Information Retrieval, Virtual Event, Norway, 2020.
  33. Thesis
    D5
    “Factoring Out Prior Knowledge from Low-dimensional Embeddings,” Universität des Saarlandes, Saarbrücken, 2020.
  34. Conference paper
    D5
    “Entities with Quantities: Extraction, Search, and Ranking,” in WSDM ’20, 13th International Conference on Web Search and Data Mining, Houston, TX, USA, 2020.
  35. Conference paper
    D5
    “Cardinality Extraction from Text for Ontology Learning,” in Proceedings of the 7th ACM IKDD CoDS and 25th COMAD (CoDS-COMAD 2020), Hyderabad, India, 2020.
  36. Conference paper
    D5
    “Incorporating User Feedback in Conversational Question Answering over Heterogeneous Web Sources,” in SIGIR ’20, 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, China, 2020.
  37. Paper
    D5
    “Conversational Question Answering over Passages by Leveraging Word Proximity Networks,” 2020. [Online]. Available: https://arxiv.org/abs/2004.13117.
  38. Conference paper
    D5
    “Conversational Question Answering over Passages by Leveraging Word Proximity Networks,” in SIGIR ’20, 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, China, 2020.
  39. Conference paper
    D5
    “Fairness without Demographics through Adversarially Reweighted Learning,” in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), Virtual Event, 2020.
  40. Paper
    D5
    “PARADE: Passage Representation Aggregation for Document Reranking,” 2020. [Online]. Available: https://arxiv.org/abs/2008.09093.
  41. Paper
    D5
    “Pretrained Transformers for Text Ranking: BERT and Beyond,” 2020. [Online]. Available: https://arxiv.org/abs/2010.06467.
  42. Article
    D5
    “Discovering Dependencies with Reliable Mutual Information,” Knowledge and Information Systems, vol. 62, 2020.
  43. Conference paper
    D5
    “Illustrate Your Story: Enriching Text with Images,” in WSDM ’20, 13th International Conference on Web Search and Data Mining, Houston, TX, USA, 2020.
  44. Thesis
    D5IMPR-CS
    “Advanced Semantics for Commonsense Knowledge Extraction,” Universität des Saarlandes, Saarbrücken, 2020.
  45. Paper
    D5
    “Advanced Semantics for Commonsense Knowledge Extraction,” WWW 2021, 2020. [Online]. Available: https://arxiv.org/abs/2011.00905.
  46. Thesis
    D5
    “What’s in the Box? Explaining Neural Networks with Robust Rules,” Universität des Saarlandes, Saarbrücken, 2020.
  47. Conference paper
    D5
    “Co-Clustering Triples from Open Information Extraction,” in Proceedings of the 7th ACM IKDD CoDS and 25th COMAD (CoDS-COMAD 2020), Hyderabad, India, 2020.
  48. Conference paper
    D5
    “YAGO 4: A Reason-able Knowledge Base,” in The Semantic Web (ESWC 2020), Heraklion, Greece, 2020.
  49. Conference paper
    D5
    “Discovering Approximate Functional Dependencies using Smoothed Mutual Information,” in KDD ’20, 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, USA, 2020.
  50. Conference paper
    D5
    “EasyAug: An Automatic Textual Data Augmentation Platform for Classification Tasks,” in Companion of The World Wide Web Conference (WWW 2020), Taipei, Taiwan, 2020.
  51. Conference paper
    D5
    “User-Centered Design for Knowledge Imbalance Analysis: A Case Study of ProWD,” in VOILA!2020, Fifth International Workshop on Visualization and Interaction for Ontologies and Linked Data, Virtual Conference, 2020.
  52. Conference paper
    D5
    “Structured Knowledge: Have We Made Progress? An Extrinsic Study of KB Coverage over 19 Years,” in CIKM ’20, 29th ACM International Conference on Information & Knowledge Management, Virtual Event, Ireland, 2020.