| 2012 | ||
|---|---|---|
| c12 | Gökhan Akin Seker, Gülsen Eryigit: Initial Explorations on using CRFs for Turkish Named Entity Recognition. COLING 2012: 2459-2474 | |
| c11 | Gülsen Eryigit: The Impact of Automatic Morphological Analysis & Disambiguation on Dependency Parsing of Turkish. LREC 2012: 1960-1965 | |
| c10 | Mehmet Talha Çakmak, Süleyman Acar, Gülsen Eryigit: Word Alignment for English-Turkish Language Pair. LREC 2012: 2177-2180 | |
| c9 | Razieh Ehsani, Muzaffer Ege Alper, Gülsen Eryigit, Esref Adali: Disambiguating Main POS tags for Turkish. ROCLING 2012 | |
| 2008 | ||
| j3 | Gülsen Eryigit, Joakim Nivre, Kemal Oflazer: Dependency Parsing of Turkish. Computational Linguistics 34(3): 357-389 (2008) | |
| j2 | Gülsen Eryigit, Joakim Nivre, Kemal Oflazer: Dependency Parsing of Turkish. Computational Linguistics 34(4): 627 (2008) | |
| 2007 | ||
| j1 | Joakim Nivre, Johan Hall, Jens Nilsson, Atanas Chanev, Gülsen Eryigit, Sandra Kübler, Svetoslav Marinov, Erwin Marsi: MaltParser: A language-independent system for data-driven dependency parsing. Natural Language Engineering 13(2): 95-135 (2007) | |
| c8 | Johan Hall, Jens Nilsson, Joakim Nivre, Gülsen Eryigit, Beáta Megyesi, Mattias Nilsson, Markus Saers: Single Malt or Blended? A Study in Multilingual Parser Optimization. EMNLP-CoNLL 2007: 933-939 | |
| 2006 | ||
| c7 | ||
| c6 | Gülsen Eryigit, Joakim Nivre, Kemal Oflazer: The Incremental Use of Morphological Information and Lexicalization in Data-Driven Dependency Parsing. ICCPOL 2006: 498-508 | |
| 2005 | ||
| c5 | Gülsen Eryigit, A. Cüneyd Tantug: A Comparison of Support Vector Machines, Memory-based and Naïve Bayes Techniques on Spam Recognition. Artificial Intelligence and Applications 2005: 457-462 | |
| c4 | Aydin Karaman, Sima Uyar, Gülsen Eryigit: The Memory Indexing Evolutionary Algorithm for Dynamic Environments. EvoWorkshops 2005: 563-573 | |
| c3 | Sima Uyar, Gülsen Eryigit: Improvements to penalty-based evolutionary algorithms for the multi-dimensional knapsack problem using a gene-based adaptive mutation approach. GECCO 2005: 1257-1264 | |
| 2004 | ||
| c2 | Sima Uyar, Sanem Sariel, Gülsen Eryigit: A Gene Based Adaptive Mutation Strategy for Genetic Algorithms. GECCO (2) 2004: 271-281 | |
| c1 | A. Cüneyd Tantug, Gülsen Eryigit: Performance Analysis of Naiotave Bayes Classification, Support Vector Machines and Neural Networks for Spam Categorization. WSC 2004: 495-504 | |
Colors in the list of coauthors
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