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ORCIDEriks Sneiders
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2020 – today
- 2024
[j4]Eriks Sneiders, Aron Henriksson
:
Text Retrieval in Restricted Domains by Pairwise Term Co-occurrence. Complex Syst. Informatics Model. Q. 41: 80-111 (2024)- [c27]Jean-Marc Kazadi Katembwe, Eriks Sneiders:
Exploring ICT Solutions in Citizen-Led Communication for Public Value Enhancement. DG.O 2024: 403-414 - [c26]Foteini Vagena, Eriks Sneiders:
Towards unravelling the co-creation mechanism: Insights from a public organization. ICEGOV 2024: 88-96 - [c25]Eriks Sneiders:
Active Ownership as an E-Service Management Practice in Transformational Government. ICEGOV 2024: 97-104 - [c24]Foteini Vagena, Eriks Sneiders:
Introducing co-creation into transformational Government. ICEGOV 2024: 176-183 - 2023
- [c23]Philipp Liesbrock, Eriks Sneiders:
Assessing Poor Adoption of the eID in Germany. WorldCIST (3) 2023: 292-301 - 2022
- [c22]Foteini Vagena, Eriks Sneiders:
Communication between Citizens and Public Organizations as a means of Public Value Co-creation. DG.O 2022: 1-12 - 2020
- [j3]Natalie Grufman, Sinéad Lyons, Eriks Sneiders:
Exploring Readiness of SMEs for Industry 4.0. Complex Syst. Informatics Model. Q. 25: 54-86 (2020) - [c21]John Wernbom, Kristoffer Tidemand, Eriks Sneiders:
Benefits of Implementing Marketing Automation in Recruitment. WorldCIST (1) 2020: 234-241
2010 – 2019
- 2018
- [j2]Eriks Sneiders, Jonas Sjöbergh, Alyaa Alfalahi:
Automated email answering by text-pattern matching: Performance and error analysis. Expert Syst. J. Knowl. Eng. 35(1) (2018) - [c20]Eriks Sneiders, Lasith Gunawardena, Said Rutabayiro Ngoga, Rasika Darayathna, Jean Claude Byungura:
Potential for Improving Public Services by Exploring Citizens' Communication to Public Organizations. EGOSE 2018: 265-280 - 2017
- [j1]Martin Henkel, Erik Perjons, Eriks Sneiders:
Examining the potential of language technologies in public organizations by means of a business and IT architecture model. Int. J. Inf. Manag. 37(1): 1507-1516 (2017) - [c19]Eriks Sneiders, Jean Claude Byungura, Martin Henkel, Erik Perjons:
Potential of Language Technology to Support Public Organizations and Their Communication Channels in a Developing Country. ICEGOV 2017: 236-244 - 2016
- [c18]Eriks Sneiders:
Text Retrieval by Term Co-occurrences in a Query-based Vector Space. COLING 2016: 2356-2365 - [c17]Eriks Sneiders, Jonas Sjöbergh, Alyaa Alfalahi:
Email Answering by Matching Question and Context-Specific Text Patterns: Performance and Error Analysis. WorldCIST (1) 2016: 123-133 - [c16]Eriks Sneiders:
Review of the Main Approaches to Automated Email Answering. WorldCIST (1) 2016: 135-144 - [c15]Martin Henkel, Erik Perjons, Eriks Sneiders:
A Business and IT Architecture Model Supporting Public Organizations Introducing Language Technologies. WorldCIST (1) 2016: 389-399 - 2015
- [c14]Alyaa Alfalahi, Gunnar Eriksson, Eriks Sneiders:
Shadow Answers as an Intermediary in Email Answer Retrieval. CLEF 2015: 209-214 - [c13]Martin Henkel, Erik Perjons, Eriks Sneiders:
Supporting Workflow and Adaptive Case Management with Language Technologies. WorldCIST (1) 2015: 543-552 - 2014
- [c12]Evrim Oya Güner, Eriks Sneiders:
Cloud Computing Adoption Factors in Turkish Large Scale Enterprises. PACIS 2014: 353 - [c11]Eriks Sneiders, Gunnar Eriksson, Alyaa Alfalahi:
Exploring the Traits of Manual E-Mail Categorization Text Patterns. PolTAL 2014: 337-344 - [c10]Martin Henkel, Erik Perjons, Eriks Sneiders, Jussi Karlgren, Johan Boye, Anders Thelemyr:
Language Technology for eGovernment - Business Cases. WorldCIST (1) 2014: 83-95 - 2012
- [c9]Ola Knutsson, Eriks Sneiders, Alyaa Alfalahi:
Opportunities for improving eGovernment: using language technology in workflow management. ICEGOV 2012: 495-496 - 2011
- [c8]Hercules Dalianis, Jonas Sjöbergh, Eriks Sneiders:
Comparing Manual Text Patterns and Machine Learning for Classification of E-Mails for Automatic Answering by a Government Agency. CICLing (2) 2011: 234-243 - [c7]Teresa Cerratto-Pargman, Ola Knutsson, E. Celikten, Eriks Sneiders, Hercules Dalianis:
User Centered Development of Automatic E-mail Answering for the Public Sector. HCITOCH 2011: 154-156 - 2010
- [c6]Hercules Dalianis, Magnus Rosell, Eriks Sneiders:
Clustering E-Mails for the Swedish Social Insurance Agency - What Part of the E-Mail Thread Gives the Best Quality? IceTAL 2010: 115-120 - [c5]Eriks Sneiders:
Automated Email Answering by Text Pattern Matching. IceTAL 2010: 381-392
2000 – 2009
- 2005
- [c4]Andrea Andrenucci, Eriks Sneiders:
Automated Question Answering: Review of the Main Approaches. ICITA (1) 2005: 514-519 - 2004
- [c3]Eriks Sneiders:
Tool Support for Legal Enquiry: Focus on Spatial-Planning Law. ICEIS (5) 2004: 289-294 - 2002
- [c2]Eriks Sneiders:
Automated Question Answering Using Question Templates That Cover the Conceptual Model of the Database. NLDB 2002: 235-239
1990 – 1999
- 1998
- [c1]Eriks Sneiders:
FAQ answering on WWW using shallow language understanding. Information Systems in the WWW Environment 1998: 298-319
Coauthor Index
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