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Ihre Suche nach “web3” ergab 134 Treffer.
  1. Information Retrieval and Data Mining

    /de/departments/databases-and-information-systems/teaching/ws1920/irdm19

    16-18, E1 3 - Hörsaal II (0.02) and Fridays, 14-16, E1 3 - Hörsaal II (0.02) Tutorials Monday 14-16 (first tutorial is on Nov 4th): Group 1 - E1.3 SR014 Group 2 - E1.3 SR015 Group 3 - E1.3 SR016 Group [...] Group 4 - E1.3 SR107 Tuesday 10-12 (first tutorial is on Nov 5th): Group 5 - E1.3 SR015 Group 6 - E1.3 SR016 Group 7 - E1.3 SR107 Group 8 - E1.1 SR106 Exams Final Exam: Wednesday 26.02.2020, 14:00 - 17:00 [...] et al. Ch. 2.1-2.2, 3.3, 8, Zhai & Massung Ch. 9 Lecture 18 Dec 18 Ranking II AY Manning et al. Ch. 11, 18, Zhai & Massung Ch. 17 Lecture 19 Dec 20 Indexing AY Manning et al. Ch. (3,) 4, 5 CHRISTMAS BREAK

  2. Ideen und Konzepte der Informatik

    /de/departments/algorithms-complexity/teaching/winter19/ideen

    und Turing, Innenleben 28.10.2019 Algorithmen und Programme Übung 3 AlgorithmenProgramme1 , AlgorithmenProgramme2 , AlgorithmenProgramme3 4.11.2019 Suchen und Sortieren Übung 4 Einfuehrung , Suchen , Mischen [...] tze2, NeuronaleNetze3, EthischeFragen 20.1.2020 Internet Uebung13 Geschichte , Datenuebertragung , Hoehere Schichten 27.1.2020 Bitcoins und Blockchains Blockchain DEMO Übung 14 - 3.2.2020 Online Algorithmen [...] Mischen , Quicksort 11.11.2019 Websuche Übung 5 Einfuehrung , WebCrawl, Vorkommenslisten, PageRank , Von-Information-zu-Wissen. 18.11.2019 Schnellste Wege Übung 6 Einfuehrung , Erster Algorithmus , Dijkstra

  3. Quasimodo

    /de/departments/databases-and-information-systems/research/yago-naga/commonsense/quasimodo

    Romero and Simon Razniewski, CIKM 2020 [pdf] [demo] Data and Code Web interface https://quasimodo.mpi-inf.mpg.de/ Download v4.3 Quasimodo v4.3 Full KB (944 MB) Format: subject: The subject of the triple predicate: [...] presents Quasimodo, a methodology and tool suite for distilling commonsense properties from non-standard web sources. We devise novel ways of tapping into search-engine query logs and QA forums, and combining [...] Uncommonsense Ascent++ Ascent Children's texts for commonsense knowledge extraction Dice Quasimodo WebChild HowToKB Information to Wisdom: Commonsense Knowledge Extraction and Compilation

  4. Commonsense Knowledge

    /de/commonsense

    dropbox.com/sh/yqn3o1ngnx8c8fz/AADD2jHxBZm31IZ0n3U_Dnf8a?dl=0 WebChild WebChild is a large collection of commonsense knowledge, automatically extracted and disambiguated from Web contents. WebChild contains [...] fine grained disambiguated assertions) of WebChild. Further links: Dedicated WebChild page WebChild: Harvesting and Organizing Commonsense Knowledge from the Web, Niket Tandon, Gerard de Melo, Fabian Suchanek [...] knowledge (CCSK) at scale. Candle extracts CCSK assertions from a huge web corpus and organizes them into coherent clusters, for 3 domains of subjects (geography, religion, occupation) and several cultural

  5. Topics in Neural Information Retrieval

    /de/departments/databases-and-information-systems/teaching/ss19/topics-in-neural-information-retrieval

    [7] Ch 3 (expands on [6]) 28 May no class 4 June Phrases: (to be) continued Background: [3] Sec 6.2 Required: [8], [9] Optional: [10], [11] 6 June (Thurs) Passages #2 assigned Background: [14], [3] Sec 6 [...] should a model behave? #1 assigned Background: [1] Sec 8.1-8.6 + 11.4.3 Required: [2] 30 April Keywords: of words and bags Background: [3] Ch 4 + Sec 6.1 Required: [4] Optional: [5] 7 May no class 21 May no [...] Diversification Required: [40] Sec 3, 4, 5.2, [41] Optional: [42] 11 July (Thurs) Weak supervision Required: [44], [46] Optional: [43], [45], [47] 16 July Wrap-Up #3 due Required: [48], [49] 30 & 31 July

  6. BriQ

    /de/departments/databases-and-information-systems/research/yago-naga/briq

    NJ: IEEE. Ibrahim, Y., & Weikum, G. (in press). ExQuisiTe: Explaining Quantities in Text. In The Web Conference . New York, NY: ACM. AIDA AMIE ANGIE BriQ ClausIE DEANNA diaNED Equity Espresso Fiction [...] Javatools K2 Know2Look Le Monde LEILA NAGA patty PATTY PRAVDA PROSPERA Quantity Search Qsearch QuTE QL RDF-3X RuLES SOFIE STICS TimeSEA UWN Watermarking YAGO Overview Demo Downloads Statistics Publications Linking

  7. Concrete Semantics with Isabelle/HOL

    /de/departments/automation-of-logic/teaching/summer-2019/concrete-semantics-with-isabellehol

    in use. Isabelle's strength is that it is simple as 1-2-3: It offers (1) a simple yet powerful logic, (2) a convenient user interface, and (3) a lot of proof automation. There are no formal prerequisites [...] Analysis Denotational Semantics Hoare Logic Abstract Interpretation Resources The Concrete Semantics web site lists the most important resources for this course. It also includes the demo files presented

  8. Count Knowledge

    /de/count-knowledge

    at International Semantic Web Conference (ISWC) 2023) [ pdf ] [ code ] 6. Shrestha Ghosh, Simon Razniewski, Gerhard Weikum. Class Cardinality Comparison as a Fermi Problem. (Web Conference 2023) [ pdf ] [...] Simon Razniewski, Damien Graux, Gerhard Weikum. CardiO: Predicting Cardinality from Online Sources. (Web Conference 2024) [ pdf ] [ poster ] [ code|data ] 8. Simon Razniewski, Hiba Arnaout, Shrestha Ghosh [...] Weikum. Answering Count Questions with Structured Answers from Text . (JoWS 2022) [ arxiv | journal ] 3. Shrestha Ghosh, Simon Razniewski, Gerhard Weikum. Answering Count Queries with Explanations. (SIGIR

  9. Information extraction

    /de/departments/databases-and-information-systems/teaching/ws1920/ie

    Lajus, Armand Boschin, Gerhard Weikum, RW, 2019 ( link ) Crawling and scraping (lecture 3): Resource efficiency in web crawling: Optimizing Update Frequencies for Decaying Information, Simon Razniewski, CIKM [...] familiarization ( pdf ) 2 22.10. Knowledge representation ( pdf ) Domain modelling (pdf) (sample solution) 3 29.10. Crawling and Scraping ( pdf ) Scraping ( pdf ) 4 12.11.* Entity typing ( pdf ) Entity typing [...] Taxonomy induction ( pdf ) 6 26.11. Relation extraction ( pdf ) Relation extraction ( pdf , files ) 7 3.12. Relation extraction II ( pdf ) OpenIE coding ( pdf , files ) 8 10.12. Knowledge consolidation (

  10. Forecasting User Attention During Everyday Mobile Interactions Using Device-Integrated and Wearable Sensors

    /de/departments/computer-vision-and-machine-learning/research/gaze-based-human-computer-interaction/forecasting-user-attention-during-everyday-mobile-interactions-using-device-integrated-and-wearable-sensors

    authors of [Oulasvirta et al. 2005] leveraged the – at the time – long page loading times during mobile web search to analyse shifts of attention. We followed a similar approach but adapted the recording procedure [...] 10 years, we instead opted to engage participants in chat sessions during which they had to perform web search tasks as in [Oulasvirta et al. 2005] and then had to wait for the next chat message. To counter [...] ◦ field of view. The eye tracker was connected to the laptop via USB. In addition, we mounted a DUO3D MLX stereo camera to the eye tracker headset. The stereo camera recorded a depth video with a resolution