Researcher Portfolio

 
   

Dr.-Ing. Berberich, Klaus

Databases and Information Systems, MPI for Informatics, Max Planck Society  

 

Researcher Profile

 
Position: Databases and Information Systems, MPI for Informatics, Max Planck Society
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons44119

External references

 
WorldCat Search for Berberich, Klaus
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Publications

 
  (1 - 25 of 112)
 : Ho, V. T., Pal, K., Razniewski, S., Berberich, K., & Weikum, G. (2021). Extracting Contextualized Quantity Facts from Web Tables. In J. Leskovec, M. Grobelnik, M. Najork, J. Tang, & L. Zia (Eds.), The Web Conference 2021 (pp. 4033-4042). New York, NY: ACM. doi:10.1145/3442381.3450072. [PubMan] : Hui, K., & Berberich, K. (2021). Transitivity, Time Consumption, and Quality of Preference Judgments in Crowdsourcing. Retrieved from https://arxiv.org/abs/2104.08926. [PubMan] : Gupta, D., & Berberich, K. (2020). Weaving Text into Tables. In M. d’Aquin, & S. Dietze (Eds.), CIKM '20 (pp. 3401-34049). New York, NY: ACM. doi:10.1145/3340531.3417442. [PubMan] : Gupta, D., & Berberich, K. (2020). Optimizing Hyper-Phrase Queries. In K. Balog, V. Setty, C. Lioma, Y. Liu, M. Zhang, & K. Berberich (Eds.), ICTIR '20 (pp. 41-48). New York, NY: ACM. doi:10.1145/3409256.3409827. [PubMan] : Ho, V. T., Pal, K., Kleer, N., Berberich, K., & Weikum, G. (2020). Entities with Quantities: Extraction, Search, and Ranking. In J. Caverlee, & X. B. Hu (Eds.), WSDM '20 (pp. 833-836). New York, NY: ACM. doi:10.1145/3336191.3371860. [PubMan] : Balog, K., Setty, V., Lioma, C., Liu, Y., Zhang, M., & Berberich, K. (Eds.). (2020). ICTIR '20. New York, NY: ACM. doi:10.1145/3409256. [PubMan] : Gupta, D., Berberich, K., Strötgen, J., & Zeinalipour-Yazti, D. (2019). Generating Semantic Aspects for Queries. In P. Hitzler, M. Fernández, K. Janowicz, A. Zaveri, A. J. G. Gray, V. Lopez, A. Haller, & K. Hammar (Eds.), The Semantic Web (pp. 162-178). Berlin: Springer. doi:10.1007/978-3-030-21348-0_11. [PubMan] : Gupta, D., & Berberich, K. (2019). JIGSAW: Structuring Text into Tables. In Y. Fang, & Y. Zhang (Eds.), ICTIR '19 (pp. 237-244). New York, NY: ACM. doi:10.1145/3341981.3344228. [PubMan] : Gupta, D., & Berberich, K. (2019). Structured Search in Annotated Document Collections. In WSDM '19 (pp. 794-797). New York, NY: ACM. doi:10.1145/3289600.3290618. [PubMan] : Ho, V. T., Ibrahim, Y., Pal, K., Berberich, K., & Weikum, G. (2019). Qsearch: Answering Quantity Queries from Text. In C. Ghidini, O. Hartig, M. Maleshkova, V. Svátek, I. Cruz, A. Hogan, J. Song, & M. Lefrançois (Eds.), The Semantic Web -- ISWC 2019 (pp. 237-257). Berlin: Springer. doi:10.1007/978-3-030-30793-6_14. [PubMan] : Gupta, D., & Berberich, K. (2019). Efficient Retrieval of Knowledge Graph Fact Evidences. In P. Hitzler, S. Kirrane, O. Hartig, V. de Boer, M.-E. Vidal, M. Maleshova, S. Schlobach, K. Hammar, N. Lasierra, S. Stadtmüller, K. Hose, & R. Verborgh (Eds.), The Semantic Web: ESWC 2019 Satellite Events (pp. 90-94). Berlin: Springer. doi:10.1007/978-3-030-32327-1_18. [PubMan] : Hui, K., Yates, A., Berberich, K., & de Melo, G. (2018). Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval. In WSDM'18 (pp. 279-287). New York, NY: ACM. doi:10.1145/3159652.3159689. [PubMan] : Singh, M., Mishra, A., Oualil, Y., Berberich, K., & Klakow, D. (2018). Long-Span Language Models for Query-Focused Unsupervised Extractive Text Summarization. In G. Pasi, B. Piwowarski, L. Azzopardi, & A. Hanbury (Eds.), Advances in Information Retrieval (pp. 657-664). Berlin: Springer. doi:10.1007/978-3-319-76941-7_59. [PubMan] : Gupta, D., Berberich, K., Strötgen, J., & Zeinalipour-Yazti, D. (2018). Generating Semantic Aspects for Queries. In JCDL'18 (pp. 335-336). New York, NY: ACM. doi:10.1145/3197026.3203900. [PubMan] : Gupta, D., & Berberich, K. (2018). GYANI: An Indexing Infrastructure for Knowledge-Centric Tasks. In A. Cuzzocrea, J. Allan, N. Paton, D. Srivastava, R. Agrawal, A. Broder, M. Zaki, S. Candan, A. Labrinidis, A. Schuster, & H. Wang (Eds.), CIKM'18 (pp. 487-496). New York, NY: ACM. doi:10.1145/3269206.3271745. [PubMan] : Gupta, D., & Berberich, K. (2018). Identifying Time Intervals for Knowledge Graph Facts. In P.-A. Champin, F. Gandon, & L. Médini (Eds.), Companion of the World Wide Web Conference (pp. 37-38). New York, NY: ACM. doi:10.1145/3184558.3186917. [PubMan] : Hui, K., & Berberich, K. (2017). Merge-Tie-Judge: Low-Cost Preference Judgments with Ties. In ICTIR'17 (pp. 277-280). New York, NY: ACM. doi:10.1145/3121050.3121095. [PubMan] : Das, S., Mishra, A., Berberich, K., & Setty, V. (2017). Estimating Event Focus Time Using Neural Word Embeddings. In CIKM'17 (pp. 2039-2042). New York, NY: ACM. doi:10.1145/3132847.3133131. [PubMan] : Seyler, D., Yahya, M., & Berberich, K. (2017). Knowledge Questions from Knowledge Graphs. In ICTIR'17 (pp. 11-18). New York, NY: ACM. doi:10.1145/3121050.3121073. [PubMan] : Gupta, D., Berberich, K., Strötgen, J., & Zeinalipour-Yazti, D.(2017). Generating Semantic Aspects for Queries (MPI-I-2017-5-001). Saarbrücken: Max-Planck-Institut für Informatik. [PubMan] : Mishra, A., & Berberich, K. (2017). How do Order and Proximity Impact the Readability of Event Summaries? In J. M. Jose, C. Hauff, I. S. Altingovde, D. Song, D. Albakour, S. Watt, & J. Tait (Eds.), Advances in Information Retrieval (pp. 212-225). Berlin: Springer. doi:10.1007/978-3-319-56608-5_17. [PubMan] : Hui, K., & Berberich, K. (2017). Transitivity, Time Consumption, and Quality of Preference Judgments in Crowdsourcing. In J. M. Jose, C. Hauff, I. S. Altingovde, D. Song, D. Albakour, S. Watt, & J. Tait (Eds.), Advances in Information Retrieval (pp. 239-251). Berlin: Springer. doi:10.1007/978-3-319-56608-5_19. [PubMan] : Das, S., Berberich, K., Klakow, D., Mishra, A., & Setty, V. (2017). Estimating Event Focus Time with Distributed Representation of Words. Master Thesis, Universität des Saarlandes, Saarbrücken. [PubMan] : Hui, K., Yates, A., Berberich, K., & de Melo, G. (2017). Position-Aware Representations for Relevance Matching in Neural Information Retrieval. In WWW'17 Companion (pp. 799-800). New York, NY: ACM. doi:10.1145/3041021.3054258. [PubMan] : Hui, K., & Berberich, K. (2017). Low-Cost Preference Judgment via Ties. In J. M. Jose, C. Hauff, I. S. Altingovde, D. Song, D. Albakour, S. Watt, & J. Tait (Eds.), Advances in Information Retrieval (pp. 626-632). Berlin: Springer. doi:10.1007/978-3-319-56608-5_58. [PubMan]