• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher:
    
    • Fang, Yi (3)
    • Aad, Georges (1)
    • Abbott, Brad (1)
    • Abbott, Dale Charles (1)
    • Abdinov, Ovsat (1)
    • Abed Abud, Adam (1)
    • Abeling, Kira (1)
    • Abhayasinghe, Deshan Kavishka (1)
    • Abidi, Syed Haider (1)
    • Abouzeid, Ossama (1)
    •   more
  • 
    Year
  • 
    Medium:
    
    • Online (3)
    • Print (1)
  • 
    Type:
    
    • Article (2)
    • Miscellaneous (2)
  • 
    BLLDB-Access:
    • free (4)
    • subject to license (0)

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Boosting Neural Machine Translation with Dependency-Scaled Self-Attention Network ... Peng, Ru; Lin, Nankai; Fang, Yi. - : arXiv, 2021 BASE Show details 2 Measurement of $W^{\pm}$-boson and $Z$-boson production cross-sections in $pp$ collisions at $\sqrt{s}=2.76$ TeV with the ATLAS detector Aad, Georges; Abbott, Brad; Abbott, Dale Charles. - 2019 BASE Show details 3 An experimental study of online chatting and notetaking techniques on college students’ cognitive learning from a lecture Wei, Fang-Yi Flora; Wang, Y. Ken; Fass, Warren In: Computers in human behavior. - Amsterdam [u.a.] : Elsevier 34 (2014), 148-156 OLC Linguistik Show details 4 Entity Retrieval by Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers Fang, Yi; Si, Luo; Yu, Zhengtao; Xian, Yantuan; Xu, Yangbo In: DTIC (2009) Abstract: This paper gives an overview of our work done for the TREC 2009 Entity track. We propose a hierarchical relevance retrieval model for entity ranking. In this model, three levels of relevance are examined which are document, passage and entity, respectively. The final ranking score is a linear combination of the relevance scores from the three levels. Furthermore, we exploit the structure of tables and lists to identify the target entities from them by making a joint decision on all the entities with the same attribute. To find entity homepages, we train logistic regression models for each type of entities. A set of templates and filtering rules are also used to identify target entities. The key lessons that we learned by participating this year's Entity track include: 1) our special treatment of table and list data is well rewarding; 2) The high accuracy of homepage finding is crucial in this track; 3) Wikipedia can serve as a valuable knowledge resource for different aspects of the related entity finding task. ; Presented at the Text REtrieval Conference (TREC 2009, 18th) held in Gaithersburg, Maryland on 17-20 November 2009. Published in the Proceedings of the Text REtrieval Conference (TREC 2009, 18th), 2009. The conference was co-sponsored by the National Institute of Standards and Technology (NIST), the Defense Advanced Research Projects Agency (DARPA), and the Advanced Research and Development Activity (ARDA). Keyword: *HOMEPAGES(INTERNET); *INFORMATION RETRIEVAL; *INFORMATION SCIENCES; *INTERNET; *RELEVANCE(INFORMATION RETRIEVAL); *WEB(INTERNET); ACCURACY; CLASSIFICATION; Computer Programming and Software; DECISION MAKING; DOCUMENT RETRIEVAL; ENTITY EXTRACTION; ENTITY RANKING; ENTITY TRACK; Equipment and Methods; FILTERS; HIERARCHIES; HIGH RATE; Information Science; INTERNET BROWSERS; LEARNING; Linguistics; MODELS; RANKING; REGRESSION ANALYSIS; REPRINTS; SOCIAL COMMUNICATION; SYMPOSIA; TABLES(DATA); TEMPLATES; Test Facilities; WIKIPEDIA(INTERNET) URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA517741 http://www.dtic.mil/docs/citations/ADA517741 BASE Hide details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 1 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 3 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0