Publications

@article{DBLP:journals/candc/TenekeciT24,
title = {Identifying promoter and enhancer sequences by graph convolutional
networks},
author = {Samet Tenekeci and Selma Tekir},
url = {https://doi.org/10.1016/j.compbiolchem.2024.108040},
doi = {10.1016/J.COMPBIOLCHEM.2024.108040},
year = {2024},
date = {2024-01-01},
journal = {Comput. Biol. Chem.},
volume = {110},
pages = {108040},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{DBLP:journals/elektrik/CiftciST24,
title = {Enrichment of Turkish question answering systems using knowledge graphs},
author = {Okan \c{C}ift\c{c}i and Fatih Soygazi and Selma Tekir},
url = {https://doi.org/10.55730/1300-0632.4085},
doi = {10.55730/1300-0632.4085},
year = {2024},
date = {2024-01-01},
journal = {Turkish J. Electr. Eng. Comput. Sci.},
volume = {32},
number = {4},
pages = {516--533},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@inproceedings{DBLP:conf/siu/AgralT24,
title = {Improvements on a Multi-task BERT Model},
author = {Mahmut Agral and Selma Tekir},
url = {https://doi.org/10.1109/SIU61531.2024.10600801},
doi = {10.1109/SIU61531.2024.10600801},
year = {2024},
date = {2024-01-01},
booktitle = {32nd Signal Processing and Communications Applications Conference,
SIU 2024, Mersin, Turkiye, May 15-18, 2024},
pages = {1--4},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@workshop{tekir2023,
title = {Quote Detection: A New Task and Dataset for NLP},
author = {Selma Tekir and Ayb\"{u}ke G\"{u}zel and Samet Tenekeci and Bekir Haman},
url = {https://aclanthology.org/2023.latechclfl-1.3.pdf},
doi = {10.18653/v1/2023.latechclfl-1.3},
year = {2023},
date = {2023-05-01},
booktitle = {Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature},
volume = {7},
pages = {21-27},
publisher = {ACL},
abstract = {Quotes are universally appealing. Humans recognize good quotes and save them for later reference. However, it may pose a challenge for machines. In this work, we build a new corpus of quotes and propose a new task, quote detection, as a type of span detection. We retrieve the quote set from Goodreads and collect the spans through a custom search on the Gutenberg Book Corpus. We measure unique vocabulary usage by a state-of-the-art language model and perform comparative statistical analysis against the Cornell Movie-Quotes Corpus. Furthermore, we run two types of baselines for quote detection: Conditional random field (CRF) and summarization with pointer-generator networks and Bidirectional and Auto-Regressive Transformers (BART). The results show that the neural sequence-to-sequence models perform substantially better than CRF. From the viewpoint of neural extractive summarization, quote detection seems easier than news summarization. Moreover, model fine-tuning on our corpus and the Cornell Movie-Quotes Corpus introduces incremental performance boosts.},
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}

@article{DBLP:journals/corr/abs-2310-09634,
title = {An End-to-End System for Reproducibility Assessment of Source Code Repositories via Their Readmes},
author = {Ey\"{u}p Kaan Akdeniz and Selma Tekir and Malik Nizar Asad Al Hinnawi},
url = {https://doi.org/10.48550/arXiv.2310.09634},
doi = {10.48550/ARXIV.2310.09634},
year = {2023},
date = {2023-01-01},
journal = {CoRR},
volume = {abs/2310.09634},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{celik2022,
title = {Asking the right questions to solve algebraic word problems},
author = {Ege Yi\u{g}it \c{C}elik and Zeynel Orulluo\u{g}lu and Rıdvan Merto\u{g}lu and Selma Tekir},
doi = {10.55730/1300-0632.3962},
year = {2022},
date = {2022-11-28},
journal = {Turkish Journal of Electrical Engineering and Computer Sciences},
volume = {30},
number = {7},
pages = {2672-2687},
abstract = {Word algebra problems are among challenging AI tasks as they combine natural language understanding with a formal equation system. Traditional approaches to the problem work with equation templates and frame the task as a template selection and number assignment to the selected template. The recent deep learning-based solutions exploit contextual language models like BERT and encode the natural language text to decode the corresponding equation system. The proposed approach is similar to the template-based methods as it works with a template and fills in the number slots. Nevertheless, it has contextual understanding because it adopts a question generation and answering pipeline to create tuples of numbers, to finally perform the number assignment task by custom sets of rules. The inspiring idea is that by asking the right questions and answering them using a state-of-the-art language model-based system, one can learn the correct values for the number slots in an equation system. The empirical results show that the proposed approach outperforms the other methods significantly on the word algebra benchmark dataset alg514 and performs the second best on the AI2 corpus for arithmetic word problems. It also has superior performance on the challenging SVAMP dataset. Though it is a rule-based system, simple rule sets and relatively slight differences between rules for different templates indicate that it is highly probable to develop a system that can learn the patterns for the collection of all possible templates, and produce the correct equations for an example instance.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{atik2022,
title = {Gender Bias in Occupation Classification from the New York Times Obituaries},
author = {Ceren Atik and Selma Tekir},
doi = {10.21205/deufmd.2022247109},
issn = {1302-9304},
year = {2022},
date = {2022-01-01},
journal = {Dokuz Eyl\"{u}l \"{U}niversitesi M\"{u}hendislik Fak\"{u}ltesi Fen ve M\"{u}hendislik Dergisi},
volume = {24},
number = {71},
pages = {425 - 436},
publisher = {Dokuz Eyl\"{u}l \"{U}niversitesi},
address = {DOKUZ EYL\"{U}L \"{U}N\.{I}VERS\.{I}TES\.{I} M\"{U}HEND\.{I}SL\.{I}K FAK\"{U}LTES\.{I} TINAZTEPE YERLE\c{S}KES\.{I} 35390 BUCA/\.{I}ZM\.{I}R},
key = {cite},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{sezerer2021c,
title = {Incorporating Concreteness in Multi-Modal Language Models with Curriculum Learning},
author = {Erhan Sezerer and Selma Tekir},
url = {https://www.mdpi.com/2076-3417/11/17/8241},
doi = {10.3390/app11178241},
issn = {2076-3417},
year = {2021},
date = {2021-01-01},
journal = {Applied Sciences},
volume = {11},
number = {17},
abstract = {Over the last few years, there has been an increase in the studies that consider experiential (visual) information by building multi-modal language models and representations. It is shown by several studies that language acquisition in humans starts with learning concrete concepts through images and then continues with learning abstract ideas through the text. In this work, the curriculum learning method is used to teach the model concrete/abstract concepts through images and their corresponding captions to accomplish multi-modal language modeling/representation. We use the BERT and Resnet-152 models on each modality and combine them using attentive pooling to perform pre-training on the newly constructed dataset, which is collected from the Wikimedia Commons based on concrete/abstract words. To show the performance of the proposed model, downstream tasks and ablation studies are performed. The contribution of this work is two-fold: A new dataset is constructed from Wikimedia Commons based on concrete/abstract words, and a new multi-modal pre-training approach based on curriculum learning is proposed. The results show that the proposed multi-modal pre-training approach contributes to the success of the model.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{sezerer2021b,
title = {Author Reputation Measurement on Question and Answer Sites by the
Classification of Author-Generated Content},
author = {Erhan Sezerer and Samet Tenekeci and Ali Acar and Bora Baloglu and Selma Tekir},
url = {https://doi.org/10.1142/S0218194021500479},
doi = {10.1142/S0218194021500479},
year = {2021},
date = {2021-01-01},
journal = {Int. J. Softw. Eng. Knowl. Eng.},
volume = {31},
number = {10},
pages = {1421--1445},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@inproceedings{ogul2021,
title = {Performance Evaluation of BERT Vectors on Natural Language Inference
Models},
author = {Iskender Ulgen Ogul and Selma Tekir},
url = {https://doi.org/10.1109/SIU53274.2021.9478044},
doi = {10.1109/SIU53274.2021.9478044},
year = {2021},
date = {2021-01-01},
booktitle = {29th Signal Processing and Communications Applications Conference,
SIU 2021, Istanbul, Turkey, June 9-11, 2021},
pages = {1--4},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@article{baris2021,
title = {Leveraging Commonsense Knowledge on Classifying False News and Determining
Checkworthiness of Claims},
author = {Ipek Baris Schlicht and Erhan Sezerer and Selma Tekir and Oul Han and Zeyd Boukhers},
url = {https://arxiv.org/abs/2108.03731},
year = {2021},
date = {2021-01-01},
journal = {CoRR},
volume = {abs/2108.03731},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{sezerer2021a,
title = {A Survey On Neural Word Embeddings},
author = {Erhan Sezerer and Selma Tekir},
url = {https://arxiv.org/abs/2110.01804},
year = {2021},
date = {2021-01-01},
journal = {CoRR},
volume = {abs/2110.01804},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{yasar2020,
title = {Estimating spatiotemporal focus of documents using entropy with PMI},
author = {Damla Ya\c{s}ar and Selma Tekir},
doi = {10.3906/elk-1907-10},
year = {2020},
date = {2020-03-30},
journal = {Turkish Journal of Electrical Engineering & Computer Sciences},
volume = {28},
number = {2},
pages = {1085},
abstract = {Many text documents are spatiotemporal in nature, ie contents of a document can be mapped to a specific time period or location. For example, a news article about the French Revolution can be mapped to year 1789 as time and France as place. Identifying this time period and location associated with the document can be useful for various downstream applications such as document reasoning or spatiotemporal information retrieval. In this paper, temporal entropy with pointwise mutual information (PMI) is proposed to estimate the temporal focus of a document. PMI is used to measure the association of words with time expressions. Moreover, a word? s temporal entropy is considered as a weight to its association with a time point and a single time point with the highest overall score is chosen as the focus time of a document. The proposed method is generic in the sense that it can also be applied for spatial focus estimation of documents. In the case of spatial entropy with PMI, PMI is used to calculate the association between words and place entities. The effectiveness of our proposed methods for spatiotemporal focus estimation is evaluated on diverse datasets of text documents. The experimental evaluation confirms the superiority of our proposed temporal and spatial focus estimation methods.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@inproceedings{DBLP:conf/emnlp/JabrayilzadeT20,
title = {LGPSolver - Solving Logic Grid Puzzles Automatically},
author = {Elgun Jabrayilzade and Selma Tekir},
editor = {Trevor Cohn and Yulan He and Yang Liu},
url = {https://www.aclweb.org/anthology/2020.findings-emnlp.100/},
year = {2020},
date = {2020-01-01},
booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural
Language Processing: Findings, EMNLP 2020, Online Event, 16-20 November
2020},
pages = {1118--1123},
publisher = {Association for Computational Linguistics},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@article{DBLP:journals/corr/abs-2007-10399,
title = {Automatic Story Construction from News Articles in an Online Fashion},
author = {\"{O}zg\"{u}r Can and Selma Tekir},
url = {https://arxiv.org/abs/2007.10399},
year = {2020},
date = {2020-01-01},
journal = {CoRR},
volume = {abs/2007.10399},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@inproceedings{jabrayilzade2020b,
title = {A Turkish Topic Modeling Dataset For Multi-label Classification of Movie Genre},
author = {E Jabrayilzade and A P Arslan and H Para and O Polatbilek and E Sezerer and S Tekir},
doi = {10.1109/SIU49456.2020.9302027},
year = {2020},
date = {2020-01-01},
booktitle = {2020 28th Signal Processing and Communications Applications Conference (SIU)},
pages = {1-5},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@article{DBLP:journals/corr/abs-1908-09919,
title = {Gender Prediction from Tweets: Improving Neural Representations with
Hand-Crafted Features},
author = {Erhan Sezerer and Ozan Polatbilek and Selma Tekir},
url = {http://arxiv.org/abs/1908.09919},
year = {2019},
date = {2019-01-01},
journal = {CoRR},
volume = {abs/1908.09919},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@inproceedings{DBLP:conf/siu/SezererPT19,
title = {Gender Prediction from Turkish Tweets with Neural Networks},
author = {Erhan Sezerer and Ozan Polatbilek and Selma Tekir},
url = {https://doi.org/10.1109/SIU.2019.8806315},
doi = {10.1109/SIU.2019.8806315},
year = {2019},
date = {2019-01-01},
booktitle = {27th Signal Processing and Communications Applications Conference,
SIU 2019, Sivas, Turkey, April 24-26, 2019},
pages = {1--4},
crossref = {DBLP:conf/siu/2019},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{DBLP:conf/acllaw/SezererPT19,
title = {A Turkish Dataset for Gender Identification of Twitter Users},
author = {Erhan Sezerer and Ozan Polatbilek and Selma Tekir},
url = {https://www.aclweb.org/anthology/W19-4023/},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the 13th Linguistic Annotation Workshop, LAW@ACL 2019,
Florence, Italy, August 1, 2019},
pages = {203--207},
crossref = {DBLP:conf/acllaw/2019},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@article{OnurKEKLIK20192018EDP7199,
title = {Rule-Based Automatic Question Generation Using Semantic Role Labeling},
author = {Onur KEKLIK and Tugkan TUGLULAR and Selma TEKIR},
doi = {10.1587/transinf.2018EDP7199},
year = {2019},
date = {2019-01-01},
journal = {IEICE Transactions on Information and Systems},
volume = {E102.D},
number = {7},
pages = {1362-1373},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@inproceedings{sezerer2018,
title = {Gender Prediction From Tweets With Convolutional Neural Networks:
Notebook for PAN at CLEF 2018},
author = {Erhan Sezerer and Ozan Polatbilek and \"{O} and Selma Tekir},
url = {http://ceur-ws.org/Vol-2125/paper_116.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {Working Notes of CLEF 2018 - Conference and Labs of the Evaluation
Forum, Avignon, France, September 10-14, 2018.},
crossref = {DBLP:conf/clef/2018w},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{toprak2017,
title = {A News Chain Evaluation Methodology along with a Lattice-based Approach for News Chain Construction},
author = {Mustafa Toprak and \"{O}zer \"{O}zkahraman and Selma Tekir},
url = {http://www.aclweb.org/anthology/W17-4217},
year = {2017},
date = {2017-09-01},
booktitle = {Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism},
pages = {95--99},
publisher = {Association for Computational Linguistics},
address = {Copenhagen, Denmark},
abstract = {Chain construction is an important requirement for understanding news and
establishing the context. A news chain can be defined as a coherent set of
articles that explains an event or a story. There's a lack of well-established
methods in this area.
In this work, we propose a methodology to evaluate the "goodness" of a given
news chain and implement a concept lattice-based news chain construction method
by Hossain et al.. The methodology part is vital as it directly affects the
growth of research in this area. Our proposed methodology consists of collected
news chains from different studies and two "goodness" metrics, minedge and
dispersion coefficient respectively. We assess the utility of the lattice-based
news chain construction method by our proposed methodology.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{sezerer2017,
title = {A Relativistic Opinion Mining Approach to Detect Factual or Opinionated
News Sources},
author = {Erhan Sezerer and Selma Tekir},
url = {https://doi.org/10.1007/978-3-319-64283-3_22},
doi = {10.1007/978-3-319-64283-3_22},
year = {2017},
date = {2017-01-01},
booktitle = {Big Data Analytics and Knowledge Discovery - 19th International Conference,
DaWaK 2017, Lyon, France, August 28-31, 2017, Proceedings},
pages = {303--312},
crossref = {DBLP:conf/dawak/2017},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{sevgili2017,
title = {N-Hance at SemEval-2017 Task 7: A Computational Approach using Word Association for Puns},
author = {\"{O}zge Sevgili and Nima Ghotbi and Selma Tekir},
url = {http://aclanthology.coli.uni-saarland.de/pdf/S/S17/S17-2074.pdf},
doi = {10.18653/v1/S17-2074},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},
pages = {436--439},
publisher = {Association for Computational Linguistics},
address = {Vancouver, Canada},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{yafay2016,
title = {Sosyal Cizgeler Icin Arama Motoru Gelistirilmesi},
author = {Erman Yafay and Selma Tekir},
url = {http://ceur-ws.org/Vol-1721/UYMS16_paper_116.pdf},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the 10th Turkish National Software Engineering Symposium,
UYMS 2016, Canakkale, Turkey, October 24-26, 2016.},
pages = {599--610},
crossref = {DBLP:conf/uyms/2016},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{turkmen2015,
title = {Bir Platform Oyununa Kullanici Performansi Temelinde Yapay Zeka Uyarlamasi},
author = {Sercan Turkmen and Hilmi Yalin Mungan and Selma Tekir},
url = {http://ceur-ws.org/Vol-1483/8_Deneyim.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 9th Turkish National Software Engineering Symposium,
Yasar University, Izmir, Turkey, September, 9-11, 2015.},
crossref = {DBLP:conf/uyms/2015},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{tuglular2013b,
title = {Mapping Information and Communication Sector in Izmir: Exploring Clustering Potential},
author = {T Tuglular and S Tekir and K Velibeyoglu},
year = {2013},
date = {2013-01-01},
booktitle = {The 6th Knowledge Cities World Summit KCWS13},
pages = {552--562},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@book{tuglular2013izmir,
title = {Izmir Bilgi Toplumu Temelli Kalkinma Stratejisi},
author = {T Tuglular and K Velibeyoglu and S Tekir},
year = {2013},
date = {2013-01-01},
publisher = {Izmir Kalkinma Ajansi (IZKA)},
keywords = {},
pubstate = {published},
tppubtype = {book}
}

@article{tekir2012classics,
title = {Reading CS Classics},
author = {Selma Tekir},
url = {http://doi.acm.org/10.1145/2133806.2133818},
doi = {10.1145/2133806.2133818},
issn = {0001-0782},
year = {2012},
date = {2012-01-01},
journal = {Commun. ACM},
volume = {55},
number = {4},
pages = {32--34},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{tekir2012geodesic,
title = {Geodesic Distances for Clustering Linked Text Data},
author = {S Tekir and F Mansmann and D Keim},
year = {2012},
date = {2012-01-01},
journal = {Journal of Artificial Intelligence and Soft Computing Research},
volume = {2},
number = {4},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@inproceedings{tekir2012warfare,
title = {Overt Information Operations During Peacetime},
author = {S Tekir},
year = {2012},
date = {2012-01-01},
booktitle = {ECIW 2012 11th European Conference on Information Warfare and Security},
pages = {272--276},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{aslanoglu2012,
title = {Recent Cyberwar Spectrum and its Analysis},
author = {R Aslanoglu and S Tekir},
year = {2012},
date = {2012-01-01},
booktitle = {ECIW 2012 11th European Conference on Information Warfare and Security},
pages = {45--52},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{tekir2011,
title = {Geodesic distances for web document clustering},
author = {S Tekir and F Mansmann and D Keim},
doi = {10.1109/CIDM.2011.5949449},
year = {2011},
date = {2011-04-01},
booktitle = {Computational Intelligence and Data Mining (CIDM), 2011 IEEE Symposium on},
pages = {15-21},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@book{tekir2009osint,
title = {Open Source Intelligence Analysis A Methodological Approach},
author = {S Tekir},
year = {2009},
date = {2009-01-01},
publisher = {VDM Verlag},
keywords = {},
pubstate = {published},
tppubtype = {book}
}

@inproceedings{koltuksuz2006,
title = {Intelligence Analysis Modeling},
author = {Ahmet Koltuksuz and Selma Tekir},
url = {http://dx.doi.org/10.1109/ICHIT.2006.157},
doi = {10.1109/ICHIT.2006.157},
isbn = {0-7695-2674-8},
year = {2006},
date = {2006-01-01},
booktitle = {Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 01},
pages = {146--151},
publisher = {IEEE Computer Society},
address = {Washington, DC, USA},
series = {ICHIT '06},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{tekir2006,
title = {Information Organization in the Business World},
author = {S Tekir and S Eren},
year = {2006},
date = {2006-01-01},
booktitle = {Fifteenth World Business Congress- Technology, Structure, Environment, and Strategy Interfaces in a Changing Global Business Arena},
volume = {XV},
pages = {260--263},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{kurtel2006,
title = {Lojistik Merkezi Guvenlik Gereksinimleri, XML ve Sayisal Imza},
author = {K Kurtel and S Tekir and S Atay},
year = {2006},
date = {2006-01-01},
booktitle = {Ulusal Elektronik Imza Sempozyumu},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{tekir2005,
title = {Open Source Exploitation in Producing Intelligence},
author = {S Tekir},
year = {2005},
date = {2005-01-01},
booktitle = {ISIT 2005 1st International Symposium on Information Technology},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{tekir2005acikistihbarat,
title = {Bilgi Sistemleri Bilim ve Teknolojisine Dayali Acik Kaynak Istihbarati ve Bir Uygulama Modeli},
author = {S Tekir and A Koltuksuz},
year = {2005},
date = {2005-01-01},
booktitle = {2. Polis Bilisim Sempozyumu},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{koltuksuz2005,
title = {Bilgi Sistemleri Guvenligi Dersi},
author = {A Koltuksuz and S Atay and D Tapucu and S Tekir and O Demiray and S Asarcikli and H Hisil},
year = {2005},
date = {2005-01-01},
booktitle = {Akademik Bilisim 2005},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}