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Constantin Orasan
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2020 – today
- 2024
- [c91]Leonardo Zilio, Shenbin Qian, Diptesh Kanojia, Constantin Orasan:
Character-level Language Models for Abbreviation and Long-form Detection. LREC/COLING 2024: 3028-3037 - [c90]Hadeel Saadany, Constantin Orasan, Sophie Walker, Catherine Breslin:
Linking Judgement Text to Court Hearing Videos: UK Supreme Court as a Case Study. LREC/COLING 2024: 10598-10609 - [c89]Shenbin Qian, Constantin Orasan, Félix do Carmo, Diptesh Kanojia:
Evaluating Machine Translation for Emotion-loaded User Generated Content (TransEval4Emo-UGC). EAMT (2) 2024: 43-44 - [i21]Jaleh Delfani, Constantin Orasan, Hadeel Saadany, Ozlem Temizoz, Eleanor Taylor-Stilgoe, Diptesh Kanojia, Sabine Braun, Barbara Schouten:
Google Translate Error Analysis for Mental Healthcare Information: Evaluating Accuracy, Comprehensibility, and Implications for Multilingual Healthcare Communication. CoRR abs/2402.04023 (2024) - [i20]Hadeel Saadany, Ashraf Tantawy, Constantin Orasan:
Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Study. CoRR abs/2405.11668 (2024) - 2023
- [c88]Sourabh Dattatray Deoghare, Paramveer Choudhary, Diptesh Kanojia, Tharindu Ranasinghe, Pushpak Bhattacharyya, Constantin Orasan:
A Multi-task Learning Framework for Quality Estimation. ACL (Findings) 2023: 9191-9205 - [c87]Shenbin Qian, Constantin Orasan, Félix do Carmo, Qiuliang Li, Diptesh Kanojia:
Evaluation of Chinese-English Machine Translation of Emotion-Loaded Microblog Texts: A Human Annotated Dataset for the Quality Assessment of Emotion Translation. EAMT 2023: 125-135 - [c86]Hadeel Saadany, Constantin Orasan, Rocio Caro Quintana, Félix do Carmo, Leonardo Zilio:
Analysing Mistranslation of Emotions in Multilingual Tweets by Online MT Tools. EAMT 2023: 275-284 - [c85]Hadeel Saadany, Constantin Orasan:
Automatic Linking of Judgements to UK Supreme Court Hearings. EMNLP (Industry Track) 2023: 492-500 - [c84]Hadeel Saadany, Catherine Breslin, Constantin Orasan, Sophie Walker:
Better Transcription of UK Supreme Court Hearings. AI4AJ@ICAIL 2023 - [c83]Frédéric Blain, Chrysoula Zerva, Ricardo Ribeiro, Nuno Miguel Guerreiro, Diptesh Kanojia, José G. C. de Souza, Beatriz Silva, Tânia Vaz, Yan Jingxuan, Fatemeh Azadi, Constantin Orasan, André F. T. Martins:
Findings of the WMT 2023 Shared Task on Quality Estimation. WMT 2023: 629-653 - [c82]Archchana Sindhujan, Diptesh Kanojia, Constantin Orasan, Tharindu Ranasinghe:
SurreyAI 2023 Submission for the Quality Estimation Shared Task. WMT 2023: 849-855 - [i19]Shenbin Qian, Constantin Orasan, Félix do Carmo, Qiuliang Li, Diptesh Kanojia:
Evaluation of Chinese-English Machine Translation of Emotion-Loaded Microblog Texts: A Human Annotated Dataset for the Quality Assessment of Emotion Translation. CoRR abs/2306.11900 (2023) - [i18]Archchana Sindhujan, Diptesh Kanojia, Constantin Orasan, Tharindu Ranasinghe:
SurreyAI 2023 Submission for the Quality Estimation Shared Task. CoRR abs/2312.00525 (2023) - 2022
- [c81]Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan:
PLOD: An Abbreviation Detection Dataset for Scientific Documents. LREC 2022: 680-688 - [c80]Tomasz Korybski, Elena Davitti, Constantin Orasan, Sabine Braun:
A Semi-Automated Live Interlingual Communication Workflow Featuring Intralingual Respeaking: Evaluation and Benchmarking. LREC 2022: 4405-4413 - [c79]Alistair Plum, Tharindu Ranasinghe, Spencer Jones, Constantin Orasan, Ruslan Mitkov:
Biographical Semi-Supervised Relation Extraction Dataset. SIGIR 2022: 3121-3130 - [c78]Hadeel Saadany, Constantin Orasan, Emad Mohamed, Ashraf Tantawy:
A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT. WANLP@EMNLP 2022: 214-224 - [c77]Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Hadeel Saadany, Félix do Carmo:
SURREY-CTS-NLP at WASSA2022: An Experiment of Discourse and Sentiment Analysis for the Prediction of Empathy, Distress and Emotion. WASSA@ACL 2022: 271-275 - [c76]Chrysoula Zerva, Frédéric Blain, Ricardo Rei, Piyawat Lertvittayakumjorn, José G. C. de Souza, Steffen Eger, Diptesh Kanojia, Duarte M. Alves, Constantin Orasan, Marina Fomicheva, André F. T. Martins, Lucia Specia:
Findings of the WMT 2022 Shared Task on Quality Estimation. WMT 2022: 69-99 - [i17]Prashant Sharma, Hadeel Saadany, Leonardo Zilio, Diptesh Kanojia, Constantin Orasan:
An Ensemble Approach to Acronym Extraction using Transformers. CoRR abs/2201.03026 (2022) - [i16]Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan:
PLOD: An Abbreviation Detection Dataset for Scientific Documents. CoRR abs/2204.12061 (2022) - [i15]Alistair Plum, Tharindu Ranasinghe, Spencer Jones, Constantin Orasan, Ruslan Mitkov:
Biographical: A Semi-Supervised Relation Extraction Dataset. CoRR abs/2205.00806 (2022) - [i14]Hadeel Saadany, Constantin Orasan, Emad Mohamed, Ashraf Tantawy:
A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT. CoRR abs/2210.11899 (2022) - [i13]Hadeel Saadany, Constantin Orasan, Catherine Breslin:
Better Transcription of UK Supreme Court Hearings. CoRR abs/2211.17094 (2022) - 2021
- [j14]Hanna Béchara, Constantin Orasan, Carla Parra Escartín, Marcos Zampieri, William Lowe:
The Role of Machine Translation Quality Estimation in the Post-Editing Workflow. Informatics 8(3): 61 (2021) - [c75]Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov:
An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers. ACL/IJCNLP (2) 2021: 434-440 - [c74]Hadeel Saadany, Constantin Orasan, Emad Mohamed, Ashraf Tantavy:
Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems. RANLP 2021: 1217-1226 - [c73]Diptesh Kanojia, Marina Fomicheva, Tharindu Ranasinghe, Frédéric Blain, Constantin Orasan, Lucia Specia:
Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation. WMT@EMNLP 2021: 625-638 - [i12]Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov:
An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers. CoRR abs/2106.00143 (2021) - [i11]Hadeel Saadany, Constantin Orasan, Rocio Caro Quintana, Félix do Carmo, Leonardo Zilio:
Challenges in Translation of Emotions in Multilingual User-Generated Content: Twitter as a Case Study. CoRR abs/2106.10719 (2021) - [i10]Diptesh Kanojia, Marina Fomicheva, Tharindu Ranasinghe, Frédéric Blain, Constantin Orasan, Lucia Specia:
Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation. CoRR abs/2109.10859 (2021) - [i9]Hadeel Saadany, Constantin Orasan:
BLEU, METEOR, BERTScore: Evaluation of Metrics Performance in Assessing Critical Translation Errors in Sentiment-oriented Text. CoRR abs/2109.14250 (2021) - [i8]Hadeel Saadany, Constantin Orasan, Emad Mohamed, Ashraf Tantavy:
Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems. CoRR abs/2109.14895 (2021) - 2020
- [c72]Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov:
TransQuest: Translation Quality Estimation with Cross-lingual Transformers. COLING 2020: 5070-5081 - [c71]Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov:
Intelligent Translation Memory Matching and Retrieval with Sentence Encoders. EAMT 2020: 175-184 - [c70]Tharindu Ranasinghe, Alistair Plum, Constantin Orasan, Ruslan Mitkov:
RGCL at SemEval-2020 Task 6: Neural Approaches to DefinitionExtraction. SemEval@COLING 2020: 717-723 - [c69]Hadeel Saadany, Constantin Orasan:
Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews. WANLP@COLING 2020: 24-37 - [c68]Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov:
TransQuest at WMT2020: Sentence-Level Direct Assessment. WMT@EMNLP 2020: 1049-1055 - [e1]John E. Ortega, Marcello Federico, Constantin Orasan, Maja Popovic:
Proceedings of 1st Workshop on Post-Editing in Modern-Day Translation, PEMDT@AMTA 2020, Virtual, October, 2020. Association for Machine Translation in the Americas 2020 [contents] - [i7]Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov:
Intelligent Translation Memory Matching and Retrieval with Sentence Encoders. CoRR abs/2004.12894 (2020) - [i6]Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov:
TransQuest at WMT2020: Sentence-Level Direct Assessment. CoRR abs/2010.05318 (2020) - [i5]Tharindu Ranasinghe, Alistair Plum, Constantin Orasan, Ruslan Mitkov:
RGCL at SemEval-2020 Task 6: Neural Approaches to Definition Extraction. CoRR abs/2010.06281 (2020) - [i4]Hadeel Saadany, Constantin Orasan:
Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews. CoRR abs/2010.13814 (2020) - [i3]Hadeel Saadany, Emad Mohamed, Constantin Orasan:
Fake or Real? A Study of Arabic Satirical Fake News. CoRR abs/2011.00452 (2020) - [i2]Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov:
TransQuest: Translation Quality Estimation with Cross-lingual Transformers. CoRR abs/2011.01536 (2020)
2010 – 2019
- 2019
- [j13]Richard Evans, Constantin Orasan:
Identifying signs of syntactic complexity for rule-based sentence simplification. Nat. Lang. Eng. 25(1): 69-119 (2019) - [j12]Constantin Orasan:
Automatic summarisation: 25 years On. Nat. Lang. Eng. 25(6): 735-751 (2019) - [c67]Alistair Plum, Marcos Zampieri, Constantin Orasan, Eveline Wandl-Vogt, Ruslan Mitkov:
Large-scale Data Harvesting for Biographical Data. BD 2019: 66-72 - [c66]Tharindu Ranasinghe, Hadeel Saadany, Alistair Plum, Salim Mandhari, Emad Mohamed, Constantin Orasan, Ruslan Mitkov:
RGCL at IDAT: Deep Learning models for Irony Detection in Arabic Language. FIRE (Working Notes) 2019: 416-425 - [c65]Alistair Plum, Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov:
RGCL at GermEval 2019: Offensive Language Detection with Deep Learning. KONVENS 2019 - [c64]Richard Evans, Constantin Orasan:
Sentence Simplification for Semantic Role Labelling and Information Extraction. RANLP 2019: 285-294 - [c63]Alistair Plum, Tharindu Ranasinghe, Constantin Orasan:
Toponym Detection in the Bio-Medical Domain: A Hybrid Approach with Deep Learning. RANLP 2019: 912-921 - [c62]Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov:
Enhancing Unsupervised Sentence Similarity Methods with Deep Contextualised Word Representations. RANLP 2019: 994-1003 - [c61]Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov:
Semantic Textual Similarity with Siamese Neural Networks. RANLP 2019: 1004-1011 - [c60]Victoria Yaneva, Constantin Orasan, Le An Ha, Natalia Ponomareva:
A Survey of the Perceived Text Adaptation Needs of Adults with Autism. RANLP 2019: 1356-1363 - [c59]Alistair Plum, Tharindu Ranasinghe, Pablo Calleja, Constantin Orasan, Ruslan Mitkov:
RGCL-WLV at SemEval-2019 Task 12: Toponym Detection. SemEval@NAACL-HLT 2019: 1297-1301 - 2018
- [c58]Constantin Orasan:
Aggressive Language Identification Using Word Embeddings and Sentiment Features. TRAC@COLING 2018 2018: 113-119 - [c57]Reshmi Gopalakrishna Pillai, Mike Thelwall, Constantin Orasan:
What Makes You Stressed? Finding Reasons From Tweets. WASSA@EMNLP 2018: 266-272 - [c56]Reshmi Gopalakrishna Pillai, Mike Thelwall, Constantin Orasan:
Detection of Stress and Relaxation Magnitudes for Tweets. WWW (Companion Volume) 2018: 1677-1684 - 2017
- [j11]Constantin Orasan, Marcello Federico:
Word from the editors. Mach. Transl. 31(3): 89-91 (2017) - [j10]Carla Parra Escartín, Hanna Béchara, Constantin Orasan:
Questing for Quality Estimation A User Study. Prague Bull. Math. Linguistics 108: 343-354 (2017) - [c55]Victoria Yaneva, Constantin Orasan, Richard Evans, Omid Rohanian:
Combining Multiple Corpora for Readability Assessment for People with Cognitive Disabilities. BEA@EMNLP 2017: 121-132 - 2016
- [j9]Rohit Gupta, Constantin Orasan, Marcos Zampieri, Mihaela Vela, Josef van Genabith, Ruslan Mitkov:
Improving translation memory matching and retrieval using paraphrases. Mach. Transl. 30(1-2): 19-40 (2016) - [j8]Constantin Orasan, Marcello Federico:
Word from the editors. Mach. Transl. 30(3-4): 127-128 (2016) - [j7]Eduard Barbu, Carla Parra Escartín, Luisa Bentivogli, Matteo Negri, Marco Turchi, Constantin Orasan, Marcello Federico:
The first Automatic Translation Memory Cleaning Shared Task. Mach. Transl. 30(3-4): 145-166 (2016) - [c54]Hanna Béchara, Carla Parra Escartín, Constantin Orasan, Lucia Specia:
Semantic Textual Similarity in Quality Estimation. EAMT 2016: 256-268 - [c53]Constantin Orasan:
The EXPERT project: training the future experts in translation technology. EAMT (Projects/Products) 2016 - [c52]Hanna Béchara, Rohit Gupta, Liling Tan, Constantin Orasan, Ruslan Mitkov, Josef van Genabith:
WOLVESAAR at SemEval-2016 Task 1: Replicating the Success of Monolingual Word Alignment and Neural Embeddings for Semantic Textual Similarity. SemEval@NAACL-HLT 2016: 634-639 - [c51]Rohit Gupta, Constantin Orasan, Qun Liu, Ruslan Mitkov:
A Dynamic Programming Approach to Improving Translation Memory Matching and Retrieval Using Paraphrases. TSD 2016: 259-269 - 2015
- [c50]Rohit Gupta, Constantin Orasan, Marcos Zampieri, Mihaela Vela, Josef van Genabith:
Can Translation Memories afford not to use paraphrasing? EAMT 2015 - [c49]Rohit Gupta, Constantin Orasan, Josef van Genabith:
ReVal: A Simple and Effective Machine Translation Evaluation Metric Based on Recurrent Neural Networks. EMNLP 2015: 1066-1072 - [c48]Ismaïl El Maarouf, Georgiana Marsic, Constantin Orasan:
Barbecued Opakapaka: Using Semantic Preferences for Ontology Population. RANLP 2015: 153-159 - [c47]Hanna Béchara, Hernani Costa, Shiva Taslimipoor, Rohit Gupta, Constantin Orasan, Gloria Corpas Pastor, Ruslan Mitkov:
MiniExperts: An SVM Approach for Measuring Semantic Textual Similarity. SemEval@NAACL-HLT 2015: 96-101 - [c46]Rohit Gupta, Constantin Orasan, Josef van Genabith:
Machine Translation Evaluation using Recurrent Neural Networks. WMT@EMNLP 2015: 380-384 - 2014
- [j6]Iustin Dornescu, Constantin Orasan:
Densification: Semantic document analysis using Wikipedia. Nat. Lang. Eng. 20(4): 469-500 (2014) - [c45]Richard Evans, Constantin Orasan, Iustin Dornescu:
An evaluation of syntactic simplification rules for people with autism. PITR@EACL 2014: 131-140 - [c44]Rohit Gupta, Constantin Orasan:
Incorporating paraphrasing in translation memory matching and retrieval. EAMT 2014: 3-10 - [c43]Rohit Gupta, Hanna Béchara, Ismaïl El Maarouf, Constantin Orasan:
UoW: NLP techniques developed at the University of Wolverhampton for Semantic Similarity and Textual Entailment. SemEval@COLING 2014: 785-789 - 2013
- [c42]Iustin Dornescu, Richard Evans, Constantin Orasan:
A Tagging Approach to Identify Complex Constituents for Text Simplification. RANLP 2013: 221-229 - [c41]Richard Evans, Constantin Orasan:
Annotating Signs of Syntactic Complexity to Support Sentence Simplification. TSD 2013: 92-104 - 2012
- [j5]Constantin Orasan:
Interactive Multi-Modal Question-Answering Antal van den Bosch* and Gosse Bouma‡ (editors) (*Tilburg University and ‡University of Groningen) Berlin: Springer (Theory and Applications of Natural Language Processing series, edited by Eduard Hovy), 2011, xii+279 pp; hardbound, ISBN 978-3-642-17524-4, $124.00; e-book, ISBN 978-3-642-17525-1; paperbound, $24.95 or €24.95 to members of subscribing institutions. Comput. Linguistics 38(2): 451-453 (2012) - [c40]Marta Recasens, Maria Antònia Martí, Constantin Orasan:
Annotating Near-Identity from Coreference Disagreements. LREC 2012: 165-172 - [c39]Irina P. Temnikova, Constantin Orasan, Ruslan Mitkov:
CLCM - A Linguistic Resource for Effective Simplification of Instructions in the Crisis Management Domain and its Evaluations. LREC 2012: 3007-3014 - [c38]Ruslan Mitkov, Richard Evans, Constantin Orasan, Iustin Dornescu, Miguel Rios:
Coreference Resolution: To What Extent Does It Help NLP Applications? TSD 2012: 16-27 - 2011
- [j4]Óscar Ferrández, Christian Spurk, Milen Kouylekov, Iustin Dornescu, Sergio Ferrández, Matteo Negri, Rubén Izquierdo, David Tomás, Constantin Orasan, Guenter Neumann, Bernardo Magnini, José Luis Vicedo González:
The QALL-ME Framework: A specifiable-domain multilingual Question Answering architecture. J. Web Semant. 9(2): 137-145 (2011) - [c37]José Guilherme Camargo de Souza, Constantin Orasan:
Can Projected Chains in Parallel Corpora Help Coreference Resolution? DAARC 2011: 59-69 - [i1]Richard Evans, Constantin Orasan:
NP Animacy Identification for Anaphora Resolution. CoRR abs/1110.2215 (2011) - 2010
- [j3]Iustin Dornescu, Constantin Orasan:
Interactive QA using the QALL-ME Framework. Int. J. Comput. Linguistics Appl. 1(1-2): 233-247 (2010) - [c36]Iustin Dornescu, Constantin Orasan, Tatiana Lesnikova:
Cross-document Coreference for WePS. CLEF (Notebook Papers/LABs/Workshops) 2010
2000 – 2009
- 2009
- [j2]Constantin Orasan:
Comparative Evaluation of Term-Weighting Methods for Automatic Summarization. J. Quant. Linguistics 16(1): 67-95 (2009) - [c35]Shiyan Ou, Dalila Mekhaldi, Constantin Orasan:
An ontology-based question answering method with the use of textual entailment. NLPKE 2009: 1-8 - 2008
- [c34]Iustin Dornescu, Georgiana Puscasu, Constantin Orasan:
University of Wolverhampton at CLEF 2008. CLEF (Working Notes) 2008 - [c33]Bogdan Sacaleanu, Constantin Orasan, Christian Spurk, Shiyan Ou, Óscar Ferrández, Milen Kouylekov, Matteo Negri:
Entailment-based Question Answering for Structured Data. COLING (Demos) 2008: 173-176 - [c32]Shiyan Ou, Constantin Orasan, Dalila Mekhaldi, Laura Hasler:
Automatic Question Pattern Generation for Ontology-based Question Answering. FLAIRS 2008: 183-188 - [c31]Elena Cabrio, Milen Kouylekov, Bernardo Magnini, Matteo Negri, Laura Hasler, Constantin Orasan, David Tomás, José Luis Vicedo González, Guenter Neumann, Corinna Weber:
The QALL-ME Benchmark: a Multilingual Resource of Annotated Spoken Requests for Question Answering. LREC 2008 - [c30]Constantin Orasan, Oana Andreea Chiorean:
Evaluation of a Cross-lingual Romanian-English Multi-document Summariser. LREC 2008 - [c29]Constantin Orasan, Dan Cristea, Ruslan Mitkov, António Horta Branco:
Anaphora Resolution Exercise: an Overview. LREC 2008 - [c28]Shiyan Ou, Viktor Pekar, Constantin Orasan, Christian Spurk, Matteo Negri:
Development and Alignment of a Domain-Specific Ontology for Question Answering. LREC 2008 - 2007
- [j1]Constantin Orasan, Richard Evans:
NP Animacy Identification for Anaphora Resolution. J. Artif. Intell. Res. 29: 79-103 (2007) - [c27]Georgiana Puscasu, Constantin Orasan:
University of Wolverhampton at CLEF 2007. CLEF 2007: 300-307 - [c26]Georgiana Puscasu, Constantin Orasan:
University of Wolverhampton at CLEF 2007. CLEF (Working Notes) 2007 - [c25]Ruslan Mitkov, Richard Evans, Constantin Orasan, Le An Ha, Viktor Pekar:
Anaphora Resolution: To What Extent Does It Help NLP Applications? DAARC 2007: 179-190 - 2006
- [c24]Constantin Orasan, Georgiana Puscasu:
A High Precision Information Retrieval Method for WiQA. CLEF 2006: 561-568 - [c23]Constantin Orasan, Georgiana Puscasu:
A High Precision Information Retrieval Method for WiQA. CLEF (Working Notes) 2006 - [c22]Georgiana Puscasu, Adrian Iftene, Ionut Pistol, Diana Trandabat, Dan Tufis, Alin Ceausu, Dan Stefanescu, Radu Ion, Constantin Orasan, Iustin Dornescu, Mihai Alex Moruz, Dan Cristea:
Developing a Question Answering System for the Romanian-English Track at CLEF 2006. CLEF (Working Notes) 2006 - [c21]Oana Postolache, Dan Cristea, Constantin Orasan:
Transferring Coreference Chains through Word Alignment. LREC 2006: 889-892 - [c20]Laura Hasler, Constantin Orasan, Karin Naumann:
NPs for Events: Experiments in Coreference Annotation. LREC 2006: 1167-1172 - [c19]Constantin Orasan, Laura Hasler:
Computer-aided summarisation - what the user really wants. LREC 2006: 1548-1551 - 2005
- [c18]Constantin Orasan:
Automatic Annotation of Corpora for Text Summarisation: A Comparative Study. CICLing 2005: 670-681 - [c17]Constantin Orasan, Ted Marshall, Robert Clark, Le An Ha, Ruslan Mitkov:
Building a WSD module within an MT system to enable interactive resolution in the user's source language. EAMT 2005 - 2004
- [c16]Constantin Orasan, Viktor Pekar, Laura Hasler:
A Comparison of Summarisation Methods Based on Term Specificity Estimation. LREC 2004 - [c15]Agnès Tutin, Meriam Haddara, Ruslan Mitkov, Constantin Orasan:
Annotation of Anaphoric Expressions in an Aligned Bilingual Corpus. LREC 2004 - 2003
- [c14]Constantin Orasan, Ruslan Mitkov, Laura Hasler:
CAST: A computer-aided summarisation tool. EACL 2003: 135-138 - [c13]Constantin Orasan, Doina Tatar, Gabriela Serban, Dana Lupsa, Adrian Onet:
How to build a QA system in your back-garden: application for Romanian. EACL 2003: 139-142 - [c12]Constantin Orasan, Richard Evans, Ruslan Mirkov:
An automatic system to build resource databases for researchers. HCI (4) 2003: 770-774 - [c11]Constantin Orasan:
PALinkA: A highly customisable tool for discourse annotation. SIGDIAL Workshop 2003: 39-43 - 2002
- [c10]Ruslan Mitkov, Richard Evans, Constantin Orasan:
A New, Fully Automatic Version of Mitkov's Knowledge-Poor Pronoun Resolution Method. CICLing 2002: 168-186 - [c9]Rafael Muñoz, Ruslan Mitkov, Manuel Palomar, Jesús Peral, Richard Evans, Lidia Moreno, Constantin Orasan, Maximiliano Saiz-Noeda, Antonio Ferrández, Catalina Barbu, Patricio Martínez-Barco, Armando Suárez:
Bilingual alignment of anaphoric expressions. LREC 2002 - [c8]Constantin Orasan:
Building annotated resources for automatic text summarisation. LREC 2002 - [c7]Constantin Orasan, Richard Evans:
Assessing the difficulty of finding people in texts. LREC 2002 - [c6]Constantin Orasan, Ramesh Krishnamurthy:
A corpus-based investigation of junk emails. LREC 2002 - 2001
- [c5]Constantin Orasan, Richard Evans:
Learning to identify animate references. CoNLL 2001 - 2000
- [c4]Constantin Orasan, Richard Evans:
Experiments in Optimising the Task of Anaphora Resolution. ICEIS 2000: 191-195 - [c3]