Consensus Ontology Generation in a Socially Interacting MultiAgent System. - Ergun Biçici (COMPSAC (2), 2006)

Local Context Selection for Aligning Sentences in Parallel Corpora. - Ergun Biçici (CONTEXT, 2007)

Locally Scaled Density Based Clustering. - Ergun Biçici; Deniz Yuret (ICANNGA (1), 2007)

Context-Based Sentence Alignment in Parallel Corpora. - Ergun Biçici (CICLing, 2008)

Dynamic Translation Memory: Using Statistical Machine Translation to Improve Translation Memory Fuzzy Matches. - Ergun Biçici; Marc Dymetman (CICLing, 2008)

Consensus ontologies in socially interacting MultiAgent systems. - Ergun Biçici (Multiagent Grid Syst., 2008)

Modeling Morphologically Rich Languages Using Split Words and Unstructured Dependencies. - Deniz Yuret; Ergun Biçici (ACL/IJCNLP (2), 2009)

Adaptive Model Weighting and Transductive Regression for Predicting Best System Combinations. - Ergun Biçici; Suleyman Serdar Kozat (WMT@ACL, 2010)

L1 Regularized Regression for Reranking and System Combination in Machine Translation. - Ergun Biçici; Deniz Yuret (WMT@ACL, 2010)

Instance Selection for Machine Translation using Feature Decay Algorithms. - Ergun Biçici; Deniz Yuret (WMT@EMNLP, 2011)

RegMT System for Machine Translation, System Combination, and Evaluation. - Ergun Biçici; Deniz Yuret (WMT@EMNLP, 2011)

The regression model of machine translation (Otomatik çeviride regresyon modeli) - Ergun Biçici (2011)

CNGL: Grading Student Answers by Acts of Translation. - Ergun Biçici; Josef van Genabith (SemEval@NAACL-HLT, 2013)

CNGL-CORE: Referential Translation Machines for Measuring Semantic Similarity. - Ergun Biçici; Josef van Genabith (*SEM@NAACL-HLT, 2013)

Feature Decay Algorithms for Fast Deployment of Accurate Statistical Machine Translation Systems. - Ergun Biçici (WMT@ACL, 2013)

Referential Translation Machines for Quality Estimation. - Ergun Biçici (WMT@ACL, 2013)

Predicting sentence translation quality using extrinsic and language independent features. - Ergun Biçici; Declan Groves; Josef van Genabith (Mach. Transl., 2013)

QuEst - Design, Implementation and Extensions of a Framework for Machine Translation Quality Estimation. - Kashif Shah; Eleftherios Avramidis; Ergun Biçici; Lucia Specia (Prague Bull. Math. Linguistics, 2013)

RTM-DCU: Referential Translation Machines for Semantic Similarity. - Ergun Biçici; Andy Way (SemEval@COLING, 2014)

Parallel FDA5 for Fast Deployment of Accurate Statistical Machine Translation Systems. - Ergun Biçici; Qun Liu 001; Andy Way (WMT@ACL, 2014)

Referential Translation Machines for Predicting Translation Quality. - Ergun Biçici; Andy Way (WMT@ACL, 2014)

RTM-DCU: Predicting Semantic Similarity with Referential Translation Machines. - Ergun Biçici (SemEval@NAACL-HLT, 2015)

Dublin City University at the TweetMT 2015 Shared Task. - Antonio Toral; Xiaofeng Wu; Flammie A. Pirinen; Zhengwei Qiu; Ergun Biçici; Jinhua Du (TweetMT@SEPLN, 2015)

ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics. - Ergun Biçici; Qun Liu 001; Andy Way (WMT@EMNLP, 2015)

Referential Translation Machines for Predicting Translation Quality and Related Statistics. - Ergun Biçici; Qun Liu 001; Andy Way (WMT@EMNLP, 2015)

Domain Adaptation for Machine Translation with Instance Selection. - Ergun Biçici (Prague Bull. Math. Linguistics, 2015)

QuEst for High Quality Machine Translation. - Ergun Biçici; Lucia Specia (Prague Bull. Math. Linguistics, 2015)

Optimizing Instance Selection for Statistical Machine Translation with Feature Decay Algorithms. - Ergun Biçici; Deniz Yuret (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

RTM at SemEval-2016 Task 1: Predicting Semantic Similarity with Referential Translation Machines and Related Statistics. - Ergun Biçici (SemEval@NAACL-HLT, 2016)

ParFDA for Instance Selection for Statistical Machine Translation. - Ergun Biçici (WMT, 2016)

Referential Translation Machines for Predicting Translation Performance. - Ergun Biçici (WMT, 2016)

Referential translation machines for predicting semantic similarity. - Ergun Biçici; Andy Way (Lang. Resour. Evaluation, 2016)

Predicting the Performance of Parsing with Referential Translation Machines. - Ergun Biçici (Prague Bull. Math. Linguistics, 2016)

RTM at SemEval-2017 Task 1: Referential Translation Machines for Predicting Semantic Similarity. - Ergun Biçici (SemEval@ACL, 2017)

Predicting Translation Performance with Referential Translation Machines. - Ergun Biçici (WMT, 2017)

Robust parfda Statistical Machine Translation Results. - Ergun Biçici (WMT (shared task), 2018)

RTM results for Predicting Translation Performance. - Ergun Biçici (WMT (shared task), 2018)

Machine Translation with parfda, Moses, kenlm, nplm, and PRO. - Ergun Biçici (WMT (2), 2019)

RTM Stacking Results for Machine Translation Performance Prediction. - Ergun Biçici (WMT (3), 2019)

RTM Ensemble Learning Results at Quality Estimation Task. - Ergun Biçici (WMT@EMNLP, 2020)

RTM Super Learner Results at Quality Estimation Task. - Ergun Biçici (WMT@EMNLP, 2021)

Parallel feature weight decay algorithms for fast development of machine translation models. - Ergun Biçici (Mach. Transl., 2021)

Machine Translation Performance Prediction System: Optimal Prediction for Optimal Translation. - Ergun Biçici (SN Comput. Sci., 2022)

Power Loss Function in Neural Networks for Predicting Click-Through Rate. - Ergun Biçici (RecSys, 2023)

Calibrating Neural Networks for CTR Prediction. - Ergun Biçici; Hasan Saribas (SIU, 2023)

A Cloud Monitor to Reduce Energy Consumption With Constrained Optimization of Server Loads. - Ergun Biçici (IEEE Access, 2024)

Extreme Learning Machines for Fast Training of Click-Through Rate Prediction Models. - Ergun Biçici (CoRR, 2024)

Sparse Regression for Machine Translation. - Ergun Biçici (CoRR, 2024)

Automatic Prediction of the Performance of Every Parser. - Ergun Biçici (CoRR, 2024)

Identifying Intensity of the Structure and Content in Tweets and the Discriminative Power of Attributes in Context with Referential Translation Machines. - Ergun Biçici (CoRR, 2024)

Predicting Word Similarity in Context with Referential Translation Machines. - Ergun Biçici (CoRR, 2024)

Residual connections improve click-through rate and conversion rate prediction performance. - Ergun Biçici (Neural Comput. Appl., 2025)