Publications

This page is automatically populated. For the most up-to-date list of publications, see my Google Scholar profile.

2023

  • [PDF] J. Vrolijk and D. Graus, “Enhancing plm performance on labour market tasks via instruction-based finetuning and prompt-tuning with rules.” 2023.
    [Bibtex]
    @inproceedings{vrolijk2023enhancing,
    title={Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules},
    author={Jarno Vrolijk and David Graus},
    year={2023},
    eprint={2308.16770},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
    }
  • [PDF] Y. Luo, F. Lu, V. Pal, and D. Graus, “Enhancing resume content extraction in question answering systems through t5 model variants,” in Recsys in hr’23: the 3\textsuperscriptrd workshop on recommender systems for human resources, 2023.
    [Bibtex]
    @inproceedings{luo2023enhancing,
    title={Enhancing Resume Content Extraction in Question Answering Systems through T5 Model Variants},
    author={Yuxin Luo and Feng Lu and Vaishali Pal and David Graus},
    year={2023},
    booktitle = {RecSys in HR’23: The 3\textsuperscript{rd} Workshop on Recommender Systems for Human Resources},
    numpages = {10},
    location = {Singapore},
    series = {CEUR Workshop Proceedings},
    month={9}
    }
  • [PDF] S. Avlonitis, D. Lavi, M. Mansoury, and D. Graus, “Career path recommendations for long-term income maximization: a reinforcement learning approach,” in Recsys in hr’23: the 3\textsuperscriptrd workshop on recommender systems for human resources, 2023.
    [Bibtex]
    @inproceedings{avlonitis2023career,
    title={Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach},
    author={Spyros Avlonitis and Dor Lavi and Masoud Mansoury and David Graus},
    year={2023},
    booktitle = {RecSys in HR’23: The 3\textsuperscript{rd} Workshop on Recommender Systems for Human Resources},
    numpages = {8},
    location = {Singapore},
    series = {CEUR Workshop Proceedings},
    month={9}
    }
  • [DOI] T. Bogers, D. Graus, M. Kaya, C. Johnson, and J. Decorte, “Third workshop on recommender systems for human resources (recsys in hr 2023),” in Proceedings of the 17th acm conference on recommender systems, New York, NY, USA, 2023, p. 1244–1247.
    [Bibtex]
    @inproceedings{10.1145/3604915.3608755,
    author = {Bogers, Toine and Graus, David and Kaya, Mesut and Johnson, Chris and Decorte, Jens-Joris},
    title = {Third Workshop on Recommender Systems for Human Resources (RecSys in HR 2023)},
    year = {2023},
    isbn = {9798400702419},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/3604915.3608755},
    doi = {10.1145/3604915.3608755},
    booktitle = {Proceedings of the 17th ACM Conference on Recommender Systems},
    pages = {1244–1247},
    numpages = {4},
    keywords = {recruitment, Recommender systems, human resources, hiring},
    location = {Singapore, Singapore},
    series = {RecSys '23}
    }

2022

  • [PDF] [DOI] D. Graus, T. Bogers, M. Kaya, F. Gutiérrez, and K. Verbert, “Report on the 1st workshop on recommender systems for human resources (recsys in hr 2021) at recsys 2021,” Sigir forum, vol. 55, iss. 2, 2022.
    [Bibtex]
    @article{graus2021report,
    author = {Graus, David and Bogers, Toine and Kaya, Mesut and Guti\'{e}rrez, Francisco and Verbert, Katrien},
    title = {Report on the 1st Workshop on Recommender Systems for Human Resources (RecSys in HR 2021) at RecSys 2021},
    year = {2022},
    issue_date = {December 2021},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    volume = {55},
    number = {2},
    issn = {0163-5840},
    url = {https://doi.org/10.1145/3527546.3527567},
    doi = {10.1145/3527546.3527567},
    abstract = {Recommender systems are increasingly used in more high risk application domains, including in the domain of Human Resources (HR). These recommender systems help end-users find relevant vacancies out of an abundant overload of available vacancies, but also support other important objectives such as job mobility. Despite the use in industry applications, there are several research challenges associated to such objectives that have not yet been addressed in detail in this context, such as supporting end-users to steer the recommendation process with input and feedback and increasing diversity of recommendations. The goal of our workshop is to build a strong research capacity around recommender systems for HR to address these challenges. This paper describes the goal and activities of the Workshop on Recommender Systems for Human Resources (RecSys in HR 2021), organized at the 15th ACM Conference on Recommender Systems.Date: 10--14 September, 2021.Website: https://foo2021.net.},
    journal = {SIGIR Forum},
    month = {mar},
    articleno = {18},
    numpages = {14}
    }
  • [PDF] S. van Els, D. Graus, and E. Beauxis-Aussalet, “Improving fairness assessments with synthetic data: a practical use case with a recommender system for human resources,” in Compjobs ’22: the first international workshop on computational jobs marketplace, 2022.
    [Bibtex]
    @inproceedings{vanels2022improving,
    author = {van Els, Sarah-Jane and Graus, David and Beauxis-Aussalet, Emma},
    title = {Improving Fairness Assessments with Synthetic Data: a Practical Use Case with a Recommender System for Human Resources},
    year = {2022},
    booktitle = {CompJobs '22: The First International Workshop on Computational Jobs Marketplace},
    numpages = {5},
    location = {Online},
    month={2}
    }
  • [PDF] N. Vermeer, V. Provatorova, D. Graus, T. Rajapakse, and S. Mesbah, “Using robbert and extreme multi-label classification to extract implicit and explicit skills from dutch job descriptions,” in Compjobs ’22: the first international workshop on computational jobs marketplace, 2022.
    [Bibtex]
    @inproceedings{vermeer2022using,
    author = {Vermeer, Ninande and Provatorova, Vera and Graus, David and Rajapakse, Thilina and Mesbah, Sepideh},
    title = {Using RobBERT and eXtreme Multi-Label Classification to Extract Implicit and Explicit Skills From Dutch Job Descriptions},
    year = {2022},
    booktitle = {CompJobs '22: The First International Workshop on Computational Jobs Marketplace},
    numpages = {5},
    location = {Online},
    month={2}
    }
  • [PDF] A. M. Arafan, D. Graus, F. P. Santos, and E. Beauxis-Aussalet, “End-to-end bias mitigation in candidate recommender systems with fairness gates,” in Recsys in hr’22: the 2\textsuperscriptnd workshop on recommender systems for human resources, 2022.
    [Bibtex]
    @inproceedings{arafan2022end,
    author = {Arafan, Adam Mehdi and Graus, David and Santos, Fernando P. and Beauxis-Aussalet, Emma},
    title = {End-to-End Bias Mitigation in Candidate Recommender Systems with Fairness Gates},
    year = {2022},
    booktitle = {RecSys in HR’22: The 2\textsuperscript{nd} Workshop on Recommender Systems for Human Resources},
    numpages = {8},
    location = {Seattle, WA, USA and Online},
    series = {CEUR Workshop Proceedings},
    url = {https://ceur-ws.org/Vol-3218/RecSysHR2022-paper_6.pdf},
    month={9}
    }
  • [PDF] B. Platten, M. Macfarlane, D. Graus, and S. Mesbah, “Automated personnel scheduling with reinforcement learning and graph neural networks,” in Recsys in hr’22: the 2\textsuperscriptnd workshop on recommender systems for human resources, 2022.
    [Bibtex]
    @inproceedings{platten2022automated,
    author = {Platten, Benjamin and Macfarlane, Matthew and Graus, David and Mesbah, Sepideh},
    title = {Automated Personnel Scheduling with Reinforcement Learning and Graph Neural Networks},
    year = {2022},
    booktitle = {RecSys in HR’22: The 2\textsuperscript{nd} Workshop on Recommender Systems for Human Resources},
    numpages = {10},
    location = {Seattle, WA, USA and Online},
    url = {https://ceur-ws.org/Vol-3218/RecSysHR2022-paper_1.pdf},
    series = {CEUR Workshop Proceedings},
    month={9}
    }
  • [PDF] [DOI] A. Lőrincz, D. Graus, D. Lavi, and J. L. M. Pereira, “Transfer learning for multilingual vacancy text generation,” in Proceedings of the 2nd workshop on natural language generation, evaluation, and metrics (gem), Abu Dhabi, United Arab Emirates (Hybrid), 2022, p. 207–222.
    [Bibtex]
    @inproceedings{lorincz2022transfer,
    author = {L{\H{o}}rincz, Anna and Graus, David and Lavi, Dor and Pereira, Jo{\~a}o L. M.},
    title = {Transfer learning for multilingual vacancy text generation},
    booktitle = "Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates (Hybrid)",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.gem-1.18",
    doi = "10.18653/v1/2022.gem-1.18",
    pages = "207--222",
    abstract = "Writing job vacancies is a repetitive and expensive task for humans. This research focuses on automatically generating the benefit sections of vacancies at redacted from job attributes using mT5, the multilingual version of the state-of-the-art T5 transformer trained on general domains to generate texts in multiple languages. While transformers are accurate at generating coherent text, they are sometimes incorrect at including the structured data (the input) in the generated text. Including the input correctly is crucial for vacancy text generation; otherwise, the candidates may get misled. To evaluate how the model includes the input we developed our own domain-specific metrics (input generation accuracy). This was necessary, because Relation Generation, the pre-existing evaluation metric for data-to-text generation uses only string matching, which was not suitable for our dataset (due to the binary field). With the help of the new evaluation method we were able to measure how well the input is included in the generated text separately for different types of inputs (binary, categorical, numeric), offering another contribution to the field. Additionally, we also evaluated how accurate the mT5 model generates the text in the requested language. The results show that mT5 is very accurate at generating the text in the correct language, at including seen categorical inputs and binary values correctly in the generated text. However, mT5 performed worse when generating text from unseen city names or working with numeric inputs. Furthermore, we found that generating additional synthetic training data for the samples with numeric input can increase the input generation accuracy, however this only works when the numbers are integers and only cover a small range.",
    }
  • [DOI] T. Bogers, D. Graus, M. Kaya, F. Gutiérrez, S. Mesbah, and C. Johnson, “Second workshop on recommender systems for human resources (recsys in hr 2022),” in Proceedings of the 16th acm conference on recommender systems, New York, NY, USA, 2022, p. 671–674.
    [Bibtex]
    @inproceedings{bogers2022second,
    author = {Bogers, Toine and Graus, David and Kaya, Mesut and Guti\'{e}rrez, Francisco and Mesbah, Sepideh and Johnson, Chris},
    title = {Second Workshop on Recommender Systems for Human Resources (RecSys in HR 2022)},
    year = {2022},
    isbn = {9781450392785},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/3523227.3547414},
    doi = {10.1145/3523227.3547414},
    booktitle = {Proceedings of the 16th ACM Conference on Recommender Systems},
    pages = {671–674},
    numpages = {4},
    keywords = {hiring, human resources, recruitment, Recommender systems},
    location = {Seattle, WA, USA},
    series = {RecSys '22}
    }
  • Proceedings of the 2\textsuperscriptnd workshop on recommender systems for human resources, 2022.
    [Bibtex]
    @proceedings{recsyshr2022,
    booktitle = {2\textsuperscript{nd} Workshop on Recommender Systems for Human Resources (RecSys in HR)},
    year = 2022,
    editor = {Kaya, Mesut and Bogers, Toine and Graus, David and Mesbah, Sepideh and Johnson, Chris and Guti{\'{e}}rrez, Francisco},
    number = 3218,
    series = {CEUR Workshop Proceedings},
    issn = {1613-0073},
    url = {http://ceur-ws.org/Vol-3218},
    venue = {Seattle, WA, USA},
    eventdate = {2022-09-19},
    title = {Proceedings of the 2\textsuperscript{nd} Workshop on Recommender Systems for Human Resources}
    }

2021

  • [PDF] M. de Groot, J. Schutte, and D. Graus, “Job posting-enriched knowledge graph for skills-based matching,” in Workshop on recommender systems for human resources (recsys in hr), Amsterdam, Netherlands, 2021.
    [Bibtex]
    @inproceedings{degroot2021job,
    author = {de Groot, Maurits and Schutte, Jelle and Graus, David},
    title = {Job Posting-Enriched Knowledge Graph for Skills-based Matching},
    year = {2021},
    booktitle = {Workshop on Recommender Systems for Human Resources (RecSys in HR)},
    numpages = {9},
    location = {Amsterdam, Netherlands},
    address = {Amsterdam, Netherlands},
    month={10},
    series = {CEUR Workshop Proceedings},
    url = {https://ceur-ws.org/Vol-2967/paper_3.pdf},
    }
  • [PDF] D. Lavi, V. Medentsiy, and D. Graus, “Consultantbert: fine-tuned siamese sentence-bert for matching jobs and job seekers,” in Workshop on recommender systems for human resources (recsys in hr), Amsterdam, Netherlands, 2021.
    [Bibtex]
    @inproceedings{lavi2021consultantbert,
    author = {Lavi, Dor and Medentsiy, Volodymyr and Graus, David},
    title = {conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers},
    year = {2021},
    numpages = {8},
    booktitle = {Workshop on Recommender Systems for Human Resources (RecSys in HR)},
    location = {Amsterdam, Netherlands},
    address = {Amsterdam, Netherlands},
    month={10},
    series = {CEUR Workshop Proceedings},
    url = {https://ceur-ws.org/Vol-2967/paper_8.pdf},
    }
  • [PDF] [DOI] T. Bogers, D. Graus, M. Kaya, F. Gutiérrez, and K. Verbert, “Recsys in hr: workshop on recommender systems for human resources,” in Proceedings of the fifteenth acm conference on recommender systems, New York, NY, USA, 2021.
    [Bibtex]
    @inproceedings{bogers2021hr,
    author = {Bogers, Toine and Graus, David and Kaya, Mesut and Guti{\'{e}}rrez, Francisco and Verbert, Katrien},
    title = {RecSys in HR: Workshop on Recommender Systems for Human Resources},
    year = {2021},
    booktitle = {Proceedings of the Fifteenth ACM Conference on Recommender Systems},
    numpages = {4},
    location = {Amsterdam, Netherlands},
    series = {RecSys ’21},
    publisher = {ACM},
    address = {New York, NY, USA},
    doi = {10.1145/3460231.3470935},
    url = {https://doi.org/}
    }
  • Proceedings of the workshop on recommender systems for human resources, 2021.
    [Bibtex]
    @proceedings{recsyshr2021,
    booktitle = {Workshop on Recommender Systems for Human Resources (RecSys in HR)},
    year = 2021,
    editor = {Kaya, Mesut and Bogers, Toine and Graus, David and Verbert, Katrien and Guti{\'{e}}rrez, Francisco},
    number = 2967,
    series = {CEUR Workshop Proceedings},
    issn = {1613-0073},
    url = {http://ceur-ws.org/Vol-2967},
    venue = {Amsterdam, The Netherlands},
    eventdate = {2022-10-01},
    title = {Proceedings of the Workshop on Recommender Systems for Human Resources}
    }

2020

  • [PDF] [DOI] O. Berlage, K. Lux, and D. Graus, “Improving automated segmentation of radio shows with audio embeddings,” in Icassp 2020 – 2020 ieee international conference on acoustics, speech and signal processing (icassp), 2020, pp. 751-755.
    [Bibtex]
    @inproceedings{berlage2020improving,
    author={O. {Berlage} and K. {Lux} and D. {Graus}},
    booktitle={ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    title={Improving Automated Segmentation of Radio Shows with Audio Embeddings},
    year={2020},
    pages={751-755},
    doi={10.1109/ICASSP40776.2020.9054315},
    url={https://doi.org/10.1109/ICASSP40776.2020.9054315}
    }
  • [PDF] [DOI] F. Lu, A. Dumitrache, and D. Graus, “Beyond optimizing for clicks: incorporating editorial values in news recommendation,” in Proceedings of the 28th acm conference on user modeling, adaptation and personalization, New York, NY, USA, 2020, p. 145–153.
    [Bibtex]
    @inproceedings{lu2020beyond,
    author = {Lu, Feng and Dumitrache, Anca and Graus, David},
    title = {Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation},
    year = {2020},
    isbn = {9781450368612},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/3340631.3394864},
    doi = {10.1145/3340631.3394864},
    booktitle = {Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization},
    pages = {145–153},
    numpages = {9},
    keywords = {usefulness, news recommendation, editorial values},
    location = {Genoa, Italy},
    series = {UMAP ’20}
    }

2019

  • [PDF] [DOI] E. Sullivan, D. Bountouridis, J. Harambam, S. Najafian, F. Loecherbach, M. Makhortykh, D. Kelen, D. Wilkinson, D. Graus, and N. Tintarev, “Reading news with a purpose: explaining user profiles for self-actualization,” in Adjunct publication of the 27th conference on user modeling, adaptation and personalization, 2019, p. 241–245.
    [Bibtex]
    @inproceedings{sullivan2019reading,
    title={Reading news with a purpose: Explaining user profiles for self-actualization},
    author={Sullivan, Emily and Bountouridis, Dimitrios and Harambam, Jaron and Najafian, Shabnam and Loecherbach, Felicia and Makhortykh, Mykola and Kelen, Domokos and Wilkinson, Daricia and Graus, David and Tintarev, Nava},
    booktitle={Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization},
    pages={241--245},
    year={2019},
    url={https://doi.org/10.1145/3314183.3323456},
    doi={10.1145/3314183.3323456}
    }

2018

  • [PDF] [DOI] D. Graus, D. Odijk, and M. de Rijke, “The birth of collective memories: analyzing emerging entities in text streams,” Journal of the association for information science and technology, vol. 69, iss. 6, pp. 773-786, 2018.
    [Bibtex]
    @article{graus2018birth,
    author = {Graus, David and Odijk, Daan and de Rijke, Maarten},
    title = {The birth of collective memories: Analyzing emerging entities in text streams},
    journal = {Journal of the Association for Information Science and Technology},
    year = {2018},
    volume = {69},
    number = {6},
    pages = {773-786},
    doi = {10.1002/asi.24004},
    url = {https://asistdl.onlinelibrary.wiley.com/doi/abs/10.1002/asi.24004},
    eprint = {https://asistdl.onlinelibrary.wiley.com/doi/pdf/10.1002/asi.24004},
    }
  • A. Fourney, P. N. Bennett, R. White, E. Horvitz, R. Xin, and D. Graus, System for interpreting and managing imprecise temporal expressions, 2018.
    [Bibtex]
    @misc{fourney2018system,
    title={System for interpreting and managing imprecise temporal expressions},
    author={Fourney, Adam and Bennett, Paul Nathan and White, Ryen and Horvitz, Eric and Xin, RONG and Graus, David},
    year={2018},
    month=jun # "~7",
    note={US Patent App. 15/368,314}
    }
  • [PDF] D. Graus, M. Sappelli, and D. M. Chu, “Let me tell you who you are,” in The 2nd fatrec workshop on responsible recommendation, 2018.
    [Bibtex]
    @inproceedings{graus2018let,
    title={Let me tell you who you are},
    author={Graus, David and Sappelli, Maya and Chu, Dung Manh},
    booktitle={The 2nd FATREC Workshop on Responsible Recommendation},
    year={2018}
    }
  • [PDF] M. Sappelli, D. M. Chu, B. Cambel, J. Nortier, and D. Graus, “Smart radio: personalized news radio,” in Proceedings of the 17th dutch-belgian information retrieval workshop, 2018, p. 27.
    [Bibtex]
    @inproceedings{sappelli2018smart,
    title={SMART Radio: Personalized News Radio},
    author={Sappelli, Maya and Chu, Dung Manh and Cambel, Bahadir and Nortier, Joeri and Graus, David},
    booktitle={Proceedings of the 17th Dutch-Belgian Information Retrieval Workshop},
    pages={27},
    year={2018}
    }

2017

  • [PDF] D. Graus, “Entities of interest — discovery in digital traces,” PhD Thesis, 2017.
    [Bibtex]
    @phdthesis{graus2017entities,
    title={Entities of Interest — Discovery in Digital Traces},
    author={Graus, David},
    year={2017},
    month={6},
    school={Informatics Institute, University of Amsterdam},
    isbn={9789461828002},
    url={https://hdl.handle.net/11245.1/51be80bb-1cbf-4633-8ff9-e3128e990bfa}
    }

2016

  • [PDF] [DOI] D. Graus, P. N. Bennett, R. W. White, and E. Horvitz, “Analyzing and predicting task reminders,” in Proceedings of the 2016 conference on user modeling adaptation and personalization, New York, NY, USA, 2016, p. 7–15.
    [Bibtex]
    @inproceedings{graus2016analyzing,
    author = {Graus, David and Bennett, Paul N. and White, Ryen W. and Horvitz, Eric},
    title = {Analyzing and Predicting Task Reminders},
    year = {2016},
    isbn = {9781450343688},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/2930238.2930239},
    doi = {10.1145/2930238.2930239},
    booktitle = {Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization},
    pages = {7–15},
    numpages = {9},
    keywords = {prospective memory, reminders, log studies, intelligent assistant},
    location = {Halifax, Nova Scotia, Canada},
    series = {UMAP '16}
    }
  • [PDF] [DOI] D. Graus, M. Tsagkias, W. Weerkamp, E. Meij, and M. de Rijke, “Dynamic collective entity representations for entity ranking,” in Proceedings of the ninth acm international conference on web search and data mining, New York, NY, USA, 2016, p. 595–604.
    [Bibtex]
    @inproceedings{graus2016dynamic,
    author = {Graus, David and Tsagkias, Manos and Weerkamp, Wouter and Meij, Edgar and de Rijke, Maarten},
    title = {Dynamic Collective Entity Representations for Entity Ranking},
    year = {2016},
    isbn = {9781450337168},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/2835776.2835819},
    doi = {10.1145/2835776.2835819},
    booktitle = {Proceedings of the Ninth ACM International Conference on Web Search and Data Mining},
    pages = {595–604},
    numpages = {10},
    keywords = {fielded retrieval, entity retrieval, entity ranking, content representation},
    location = {San Francisco, California, USA},
    series = {WSDM '16}
    }
  • [PDF] M. de Rijke and D. Graus, “Wij zijn racisten, en daarom google ook,” Nrc handelsblad, 2016.
    [Bibtex]
    @article{de2016wij,
    title={Wij zijn racisten, en daarom Google ook},
    author={de Rijke, M and Graus, D},
    journal={NRC Handelsblad},
    year={2016}
    }

2015

  • [PDF] D. van Dijk, D. Graus, Z. Ren, H. Henseler, and M. de Rijke, “Who is involved? semantic search for e-discovery,” in Icail 2015 workshop on using machine learning and other advanced techniques to address legal problems in e-discovery and information governance (desi vi workshop), 2015.
    [Bibtex]
    @inproceedings{van2015involved,
    title={Who is Involved? Semantic Search for E-Discovery},
    author={van Dijk, David and Graus, David and Ren, Zhaochun and Henseler, Hans and de Rijke, Maarten},
    booktitle={ICAIL 2015 Workshop on Using Machine Learning and Other Advanced Techniques to Address Legal Problems in E-Discovery and Information Governance (DESI VI Workshop)},
    year={2015}
    }
  • C. Gârbacea, D. Odijk, D. Graus, I. Sijaranamual, and M. de Rijke, “Combining multiple signals for semanticizing tweets: university of amsterdam at \#microposts2015,” in 5th workshop on making sense of microposts (\#microposts2015), 2015, p. 59–60.
    [Bibtex]
    @inproceedings{gârbacea2015combining,
    title={Combining multiple signals for semanticizing tweets: University of Amsterdam at \#Microposts2015},
    author={Gârbacea, Cristina and Odijk, Daan and Graus, David and Sijaranamual, Isaac and de Rijke, Maarten},
    booktitle={5th Workshop on Making Sense of Microposts (\#Microposts2015)},
    pages={59--60},
    year={2015}
    }

2014

  • [PDF] [DOI] D. Graus, M. Tsagkias, L. Buitinck, and M. de Rijke, “Generating pseudo-ground truth for predicting new concepts in social streams,” in Advances in information retrieval, Cham, 2014, p. 286–298.
    [Bibtex]
    @inproceedings{graus2014generating,
    author={Graus, David and Tsagkias, Manos and Buitinck, Lars and de Rijke, Maarten},
    title={Generating Pseudo-ground Truth for Predicting New Concepts in Social Streams},
    booktitle={Advances in Information Retrieval},
    year={2014},
    publisher={Springer International Publishing},
    address={Cham},
    pages={286--298},
    url={https://doi.org/10.1007/978-3-319-06028-6_24},
    doi={10.1007/978-3-319-06028-6_24},
    series = {ECIR '14}
    }
  • [PDF] [DOI] D. Graus, D. van Dijk, M. Tsagkias, W. Weerkamp, and M. de Rijke, “Recipient recommendation in enterprises using communication graphs and email content,” in Proceedings of the 37th international acm sigir conference on research & development in information retrieval, New York, NY, USA, 2014, p. 1079–1082.
    [Bibtex]
    @inproceedings{graus2014recipient,
    author = {Graus, David and van Dijk, David and Tsagkias, Manos and Weerkamp, Wouter and de Rijke, Maarten},
    title = {Recipient Recommendation in Enterprises Using Communication Graphs and Email Content},
    year = {2014},
    isbn = {9781450322577},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/2600428.2609514},
    doi = {10.1145/2600428.2609514},
    booktitle = {Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval},
    pages = {1079–1082},
    numpages = {4},
    keywords = {recipient recommendation, email, generative models},
    location = {Gold Coast, Queensland, Australia},
    series = {SIGIR '14}
    }
  • [PDF] [DOI] D. Graus, D. Odijk, M. Tsagkias, W. Weerkamp, and M. de Rijke, “Semanticizing search engine queries: the university of amsterdam at the erd 2014 challenge,” in Proceedings of the first international workshop on entity recognition & disambiguation, New York, NY, USA, 2014, p. 69–74.
    [Bibtex]
    @inproceedings{graus2014semanticizing,
    author = {Graus, David and Odijk, Daan and Tsagkias, Manos and Weerkamp, Wouter and de Rijke, Maarten},
    title = {Semanticizing Search Engine Queries: The University of Amsterdam at the ERD 2014 Challenge},
    year = {2014},
    isbn = {9781450330237},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/2633211.2634354},
    doi = {10.1145/2633211.2634354},
    booktitle = {Proceedings of the First International Workshop on Entity Recognition & Disambiguation},
    pages = {69–74},
    numpages = {6},
    keywords = {semantic search, knowledge base, wikipedia, entity linking, data fusion},
    location = {Gold Coast, Queensland, Australia},
    series = {ERD '14}
    }

2013

  • [PDF] D. Odijk, E. Meij, D. Graus, and T. Kenter, “Multilingual semantic linking for video streams: making “ideas worth sharing” more accessible,” in Proceedings of the 2nd international workshop on web of linked entities (wole 2013), 2013.
    [Bibtex]
    @inproceedings{odijk2013multilingual,
    title={Multilingual semantic linking for video streams: Making “ideas worth sharing” more accessible},
    author={Odijk, Daan and Meij, Edgar and Graus, David and Kenter, Tom},
    booktitle={Proceedings of the 2nd International Workshop on Web of Linked Entities (WoLE 2013)},
    year={2013}
    }
  • [PDF] D. Graus, Z. Ren, M. De Rijke, D. Van Dijk, H. Henseler, and N. Van Der Knaap, “Semantic search in e-discovery: an interdisciplinary approach,” in Icail 2013 workshop on standards for using predictive coding, machine learning, and other advanced search and review methods in e-discovery (desi v workshop), 2013.
    [Bibtex]
    @inproceedings{graus2013semantic,
    title={Semantic search in e-discovery: An interdisciplinary approach},
    author={Graus, David and Ren, Zhaochun and De Rijke, Maarten and Van Dijk, David and Henseler, Hans and Van Der Knaap, Nina},
    booktitle={ICAIL 2013 Workshop on Standards for Using Predictive Coding, Machine Learning, and Other Advanced Search and Review Methods in E-Discovery (DESI V Workshop)},
    volume={6},
    year={2013}
    }
  • [PDF] Z. Ren, D. Van Dijk, D. Graus, N. Van Der Knaap, H. Henseler, and M. De Rijke, “Semantic linking and contextualization for social forensic text analysis,” in 2013 european intelligence and security informatics conference, 2013, p. 96–99.
    [Bibtex]
    @inproceedings{ren2013semantic,
    title={Semantic linking and contextualization for social forensic text analysis},
    author={Ren, Zhaochun and Van Dijk, David and Graus, David and Van Der Knaap, Nina and Henseler, Hans and De Rijke, Maarten},
    booktitle={2013 European Intelligence and Security Informatics Conference},
    pages={96--99},
    year={2013},
    organization={IEEE}
    }
  • [PDF] T. Kenter, D. Graus, E. Meij, M. De Rijke, and others, “Time-aware chi-squared for document filtering over time,” in Proceedings of the sigir 2013 workshop on time-aware information access, 2013.
    [Bibtex]
    @inproceedings{kenter2013time,
    title={Time-aware chi-squared for document filtering over time},
    author={Kenter, Tom and Graus, David and Meij, Edgar and De Rijke, Maarten and others},
    booktitle={Proceedings of the SIGIR 2013 Workshop on Time-aware Information Access},
    year={2013}
    }
  • [PDF] D. Graus, M. Peetz, D. Odijk, O. de Rooij, and M. de Rijke, “Yourhistory–semantic linking for a personalized timeline of historic events,” in Proceedings of the linkedup veni competition on linked and open data, 2013.
    [Bibtex]
    @inproceedings{graus2013yourhistory,
    title={yourHistory--Semantic linking for a personalized timeline of historic events},
    author={Graus, David and Peetz, Maria-Hendrike and Odijk, Daan and de Rooij, Ork and de Rijke, Maarten},
    booktitle={Proceedings of the LinkedUp Veni Competition on Linked and Open Data},
    volume={4},
    year={2013},
    organization={CEUR Workshop Proceedings}
    }

2012

  • [PDF] D. Graus, T. Kenter, M. Bron, E. Meij, and M. De Rijke, “Context-based entity linking-university of amsterdam at tac 2012,” in Proceedings of the fifth text analysis conference (tac’12). nist, 2012, p. 13.
    [Bibtex]
    @inproceedings{graus2012context,
    title={Context-based entity linking-University of Amsterdam at TAC 2012},
    author={Graus, David and Kenter, Tom and Bron, Marc and Meij, Edgar and De Rijke, Maarten},
    booktitle={Proceedings of the Fifth Text Analysis Conference (TAC'12). NIST},
    pages={13},
    year={2012}
    }