Publications on topics related to translation technology
(2019) Exploiting Data-Driven Hybrid Approaches to Translation in the EXPERT Project, Advances in Empirical Translation Studies, p. 198-216, Cambridge University Press, url, doi:10.1017/9781108525695.011
(2019) Proceedings of the Human-Informed Translation and Interpreting Technology Workshop (HiT-IT 2019), pdf
(2017) Questing for Quality Estimation A User Study, The Prague Bulletin of Mathematical Linguistics 108, p. 343–354, pdf, doi:10.1515/pralin-2017-0032
(2016) Semantic Textual Similarity in Quality Estimation, Baltic Journal of Modern Computing 4(2), p. 256 - 268, url
(2016) A Dynamic Programming Approach to Improving Translation Memory Matching and Retrieval Using Paraphrases, Text, Speech and Dialogue, P. Sojka, A. Horák, I. Kopeček, K. Pala (ed.), p. 259 - 269, Brno, CZ: Springer, url, doi:10.1007/978-3-319-45510-5_30
(2016) 1st Shared Task on Automatic Translation Memory Cleaning Preparation and Lessons Learned, Proceedings of the 2nd Workshop on Natural Language Processing for Translation Memories (NLP4TM 2016), p. 1-6
(2016) The EXPERT Project: Training the Future Experts in Translation Technology, In Proceedings of the 19th Annual Conference of the EAMT: Projects/Products, p. 393, pdf
(2016) Improving translation memory matching and retrieval using paraphrases, Machine Translation 30(1), p. 19 - 40, url, doi:10.1007/s10590-016-9180-0
(2016) The first Automatic Translation Memory Cleaning Shared Task, Machine Translation 30(3-4), p. 145-166, url, doi:10.1007/s10590-016-9183-x
(2015) Can Translation Memories afford not to use paraphrasing?, Proceedings of the 18th Annual Conference of the European Association for Machine Translation (EAMT), p. 35 - 42, pdf
(2015) Machine Translation Evaluation using Recurrent Neural Networks, Proceedings of the Tenth Workshop on Statistical Machine Translation(September), p. 380-384, pdf
(2015) ReVal: A Simple and Effective Machine Translation Evaluation Metric Based on Recurrent Neural Networks, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing(September), p. 1066-1072, url, doi:10.18653/v1/D15-1124
(2015) The EXPERT Project: Advancing the State of the Art in Hybrid Translation Technologies, Proceedings of Translating and the Computer 37
(2015) The Role of Corpus Pattern Analysis in Machine Translation Evaluation, Proceedings of the The 7th International Conference of the Iberian Association of Translation and Interpreting Studies (AIETI)
(2014) Incorporating Paraphrasing in Translation Memory Matching and Retrieval, Proceedings of the Seventeenth Annual Conference of the European Association for Machine Translation (EAMT2014), p. 3 - 10, pdf
(2014) Intelligent Translation Memory Matching and Retrieval Metric Exploiting Linguistic Technology, Proceedings of the Translating and Computer 36, p. 86-89, pdf
Publications related to text simplification and text accessibility
(2019) Identifying signs of syntactic complexity for rule-based sentence simplification, Natural Language Engineering 25(1), p. 69-119, url, doi:10.1017/S1351324918000384
(2019) Sentence Simplification for Semantic Role Labelling and Information Extraction, Proceedings of Recent Advances in Natural Language Processing (RANLP2019), p. 285-294, pdf, doi:10.26615/978-954-452-056-4_033
(2019) A Survey of the Perceived Text Adaptation Needs of Adults with Autism, Proceedings of Recent Advances in Natural Language Processing (RANLP 2019), p. 1356-1363, pdf, doi:10.26615/978-954-452-056-4_155
(2018) Intelligent Text Processing to Help Readers with Autism, Intelligent Natural Language Processing: Trends and Applications, K. Shaalan, A. Hassanien, F. Tolba (ed.), p. 713-740, Springer, url, doi:10.1007/978-3-319-67056-0_33
(2017) Combining Multiple Corpora for Readability Assessment for People with Cognitive Disabilities, Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, p. 121 - 132, url, doi:10.18653/v1/W17-5013
(2014) An evaluation of syntactic simplification rules for people with autism, Proceedings of the 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations (PITR), p. 131 - 140, url
(2014) Relative clause extraction for syntactic simplification, Proceedings of the Workshop on Automatic Text Simplification: Methods and Applications in the Multilingual Society, p. 1-10, url
(2013) A Tagging Approach to Identify Complex Constituents for Text Simplification, Proceedings of Recent Advances in Natural Language Processing, p. 221 -- 229, url
(2013) Annotating signs of syntactic complexity to support sentence simplification, Text, Speech and Dialogue. Proceedings of the 16th International Conference TSD 2013, I. Habernal, V. Matousek (ed.), p. 92-104, Plzen, Czech Republic: Springer, url, doi:10.1007/978-3-642-40585-3_13
(2013) Text Simplification for People with Autistic Spectrum Disorders, Towards Multilingual Europe 2020: A Romanian Perspective, p. 287-312
Publications related to social media
(2019) RGCL at IDAT : Deep Learning models for Irony Detection in Arabic Language, Working Notes of the Forum for Information Retrieval Evaluation (FIRE 2019), p. 416 - 425, pdf
(2019) RGCL at GermEval 2019: Offensive Language Detection with Deep Learning, Proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019), p. 423 - 428, pdf
(2018) Aggressive Language Identification Using Word Embeddings and Sentiment Features, Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (TRAC-2018), p. 113 - 119, url
(2018) Detection of Stress and Relaxation Magnitudes for Tweets, Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, p. 1677 - 1684, New York, New York, USA: ACM Press, url, doi:10.1145/3184558.3191627
(2018) Trouble on the Road : Finding Reasons for Commuter Stress from Tweets, Proceedings ofthe Workshop on Intelligent Interactive Systems and Language Generation (2IS&NLG), p. 20 - 25, url, doi:10.18653/v1/W18-6705
(2018) What Makes You Stressed? Finding Reasons From Tweets, Proceedings ofthe 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, p. 266 - 272, url, doi:10.18653/v1/W18-6239
Publications related to text summarization
(2019) Automatic summarisation: 25 years On, Natural Language Engineering 25(6), p. 735-751, url, doi:10.1017/S1351324919000524
(2009) Comparative Evaluation of Term-Weighting Methods for Automatic Summarization, Journal of Quantitative Linguistics 16(1), p. 67-95, Routledge, url, doi:10.1080/09296170802514187
(2008) Evaluation of a Cross-lingual Romanian-English Multi-document Summariser, Proceedings of 6th Language Resources and Evaluation Conference (LREC2008), p. 2114 -2119, url
(2003) An evolutionary approach for improving the quality of automatic summaries, Proceedings of the ACL 2003 workshop on Multilingual summarization and question answering, p. 37, url
Publications related to anaphora and coreference resolution
(2012) Coreference Resolution: To What Extent Does It Help NLP Applications, Text, Speech and Dialogue 7499, Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (ed.), p. 16-27, Berlin, Heidelberg: Springer Berlin Heidelberg, url, doi:10.1007/978-3-642-32790-2_2
(2012) Annotating Near-Identity from Coreference Disagreements, Proceedings of The Eight International Conference on Language Resources and Evaluation (LREC 2012), p. 165-172, pdf
(2011) Can Projected Chains in Parallel Corpora Help Coreference Resolution?, Anaphora Processing and Applications 7099 LNAI, p. 59-69, doi:10.1007/978-3-642-25917-3_6
(2007) Anaphora resolution: to what extent does it help NLP applications?, Lecture Notes In Artificial Intelligence, António Branco (ed.), p. 179-190, Springer-Verlag, url
(2007) NP animacy identification for anaphora resolution, Journal of Artificial Intelligence Research 29(1), p. 79-103, url, doi:10.1613/jair.2088
(2002) A New, Fully Automatic Version of Mitkov's Knowledge-Poor Pronoun Resolution Method, Lecture Notes In Computer Science; Vol. 2276, Alexander F. Gelbukh (ed.), p. 168, Springer-Verlag, url
(2001) Learning to identify animate references, Proceedings of the 2001 workshop on Computational Natural Language Learning, url
(2000) Enhancing Preference-Based Anaphora Resolution with Genetic Algorithms, Lecture Notes In Computer Science, Dimitris Christodoulakis (ed.), p. 185, Springer-Verlag, url
Publications related to information extraction and question answering
(2019) RGCL-WLV at SemEval-2019 Task 12: Toponym Detection, Proceedings ofthe 13th International Workshop on Semantic Evaluation (SemEval-2019), p. 1297-1301, url, doi:10.18653/v1/S19-2228
(2019) Toponym Detection in the Bio-Medical Domain: A Hybrid Approach with Deep Learning, Proceedings of Recent Advances in Natural Language Processing (RANLP2019), p. 912-921, pdf, doi:10.26615/978-954-452-056-4_106
(2015) Barbecued Opakapaka : Using Semantic Preferences for Ontology Population, Proceedings of Recent Advances in Natural Language Processing, p. 153-159, pdf
(2014) Densification: Semantic document analysis using Wikipedia, Natural Language Engineering 20(4), p. 469 - 500, Cambridge University Press, url, doi:10.1017/S1351324913000296
(2013) Interactive Question Answering, Emerging Applications of Natural Language Processing: Concepts and New Research, Sivaji Bandyopadhyay, Sudip Kumar Naskar, Asif Ekbal (ed.), p. 149 -- 169, IGI Global, url, doi:10.4018/978-1-4666-2169-5.ch007
(2012) A Corpus-Based Method for Product Feature Ranking for Interactive Question Answering Systems, International Journal of Computational Linguistics and Applications 3(1), p. 57 - 70
(2011) The QALL-ME framework: A specifiable-domain multilingual question answering architecture, Journal of Web Semantics 9(2), p. 137-145, Elsevier B.V., url, doi:10.1016/j.websem.2011.01.002
(2009) Identification of temporal expressions in the domain of tourism, KEPT 2009. Knowledge Engineering Principles and Techniques. Selected Papers, M. Frentiu, H. Pop (ed.), p. 61-68, Cluj-Napoca: Cluj University Press, pdf
(2009) An ontology-based question answering method with the use of textual entailment, 2009 International Conference on Natural Language Processing and Knowledge Engineering, p. 1-8, IEEE, url, doi:10.1109/NLPKE.2009.5313770
(2008) Entailment-based question answering for structured data, Coling 2008: Companion volume – Posters and Demonstrations, p. 173-176, url
(2003) How to build a QA system in your back-garden: application for Romanian, Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics, p. 139 - 142, url
Publications related to semantic text similarity
(2019) Semantic Textual Similarity with Siamese Neural Networks, Proceedings of Recent Advances in Natural Language Processing (RANLP2019), p. 1005-1012, pdf, doi:10.26615/978-954-452-056-4_116
(2019) Enhancing Unsupervised Sentence Similarity Methods with Deep Contextualised Word Representations, Proceedings of Recent Advances in Natural Language Processing (RANLP 2019), p. 994-1003, pdf, doi:10.26615/978-954-452-056-4_115
(2016) Semantic Textual Similarity in Quality Estimation, Baltic Journal of Modern Computing 4(2), p. 256 - 268, url
(2016) WOLVESAAR at SemEval-2016 Task 1: Replicating the Success of Monolingual Word Alignment and Neural Embeddings for Semantic Textual Similarity, Proceedings of SemEval-2016(1), p. 634-639, url, doi:10.18653/v1/S16-1096
(2015) MiniExperts: An SVM Approach for Measuring Semantic Textual Similarity, Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), p. 96 - 101, pdf
(2014) Intelligent Translation Memory Matching and Retrieval Metric Exploiting Linguistic Technology, Proceedings of the Translating and Computer 36, p. 86-89, pdf
Publications on other topics
(2007) Corpora for computational linguistics, Ilha do Desterro: A Journal of Language and Literature 52, p. 65-101, url