Ellery Smith

Persönliches Profil

Projekte

• INODE – Intelligent Open Data Exploration (EU Horizon 2020) / Teammitglied / Projekt abgeschlossen

Publikationen

• Amer-Yahia, Sihem; Koutrika, Georgia; Braschler, Martin; Calvanese, Diego; Lanti, Davide; Lücke-Tieke, Hendrik; Mosca, Alessandro; Mendes de Farias, Tarcisio; Papadopoulos, Dimitris; Patil, Yogendra; Rull, Guillem; Smith, Ellery; Skoutas, Dimitrios; Subramanian, Srividya; Stockinger, Kurt,

  2021.

  INODE : building an end-to-end data exploration system in practice.

  SIGMOD Record.

  Verfügbar unter: https://doi.org/10.21256/zhaw-23624

• Smith, Ellery; Papadopoulos, Dimitris; Braschler, Martin; Stockinger, Kurt,

  2021.

  LILLIE : information extraction and database integration using linguistics and learning-based algorithms.

  Information Systems.

  105.

  Verfügbar unter: https://doi.org/10.1016/j.is.2021.101938

• Smith, Ellery; Weiler, Andreas; Braschler, Martin,

  2021.

  Skill extraction for domain-specific text retrieval in a job-matching platform [Paper].

  In:

  Candan, K. Selçuk; Ionescu, Bogdan; Goeuriot, Lorraine; Larsen, Birger; Müller, Henning; Joly, Alexis; Maistro, Maria; Piroi, Florina; Faggioli, Gugliemlo; Ferro, Nicola, Hrsg.,

  Experimental IR Meets Multilinguality, Multimodality, and Interaction.

  12th International Conference of the CLEF Association (CLEF 2021), virtual event, 21–24 September 2021.

  Cham:

  Springer.

  S. 116-128.

  Lecture Notes in Computer Science ; 12880.

  Verfügbar unter: https://doi.org/10.1007/978-3-030-85251-1_10

• Smith, Ellery; Braschler, Martin; Weiler, Andreas; Haberthuer, Thomas,

  2019.

  Syntax-based skill extractor for job advertisements [Paper].

  In:

  2019 6th Swiss Conference on Data Science (SDS).

  6th Swiss Conference on Data Science (SDS), Bern, 14. Juni 2019.

  IEEE.

  S. 80-81.

  Verfügbar unter: https://doi.org/10.1109/SDS.2019.000-3

Zurück