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ORCIDSophia Ananiadou
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- affiliation: University of Manchester, UK
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2020 – today
- 2023
[i17]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization. CoRR abs/2301.11223 (2023)- 2022
- [j105]Hai-Long Trieu
, Makoto Miwa, Sophia Ananiadou:
BioVAE: a pre-trained latent variable language model for biomedical text mining. Bioinform. 38(3): 872-874 (2022) - [j104]Kurt J. P. Espinosa, Panagiotis Georgiadis, Fenia Christopoulou, Meizhi Ju, Makoto Miwa, Sophia Ananiadou:
Comparing neural models for nested and overlapping biomedical event detection. BMC Bioinform. 23(1): 211 (2022) - [j103]Odbal, Guanhong Zhang, Sophia Ananiadou:
Examining and mitigating gender bias in text emotion detection task. Neurocomputing 493: 422-434 (2022) - [j102]Maolin Li, Sophia Ananiadou:
Neural architectures for aggregating sequence labels from multiple annotators. Neurocomputing 514: 539-550 (2022) - [j101]Kailai Yang, Tianlin Zhang, Sophia Ananiadou:
A mental state Knowledge-aware and Contrastive Network for early stress and depression detection on social media. Inf. Process. Manag. 59(4): 102961 (2022) - [j100]Qianqian Xie, Jennifer Bishop, Prayag Tiwari, Sophia Ananiadou:
Pre-trained language models with domain knowledge for biomedical extractive summarization. Knowl. Based Syst. 252: 109460 (2022) - [c163]Jake Vasilakes, Chrysoula Zerva, Makoto Miwa, Sophia Ananiadou:
Learning Disentangled Representations of Negation and Uncertainty. ACL (1) 2022: 8380-8397 - [c162]Hai-Long Trieu, Makoto Miwa, Sophia Ananiadou:
Named Entity Recognition for Cancer Immunology Research Using Distant Supervision. BioNLP@ACL 2022: 171-177 - [c161]Jennifer Bishop, Qianqian Xie, Sophia Ananiadou:
GenCompareSum: a hybrid unsupervised summarization method using salience. BioNLP@ACL 2022: 220-240 - [c160]Qianqian Xie, Jimin Huang, Tulika Saha, Sophia Ananiadou:
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization. COLING 2022: 6259-6269 - [c159]Tulika Saha, Sophia Ananiadou:
Emotion-aware and Intent-controlled Empathetic Response Generation using Hierarchical Transformer Network. IJCNN 2022: 1-8 - [c158]Emrah Inan, Paul Thompson, Fenia Christopoulou, Tim Yates, Sophia Ananiadou:
Knowledge Graph Enrichment of a Semantic Search System for Construction Safety. IntelliSys (3) 2022: 33-52 - [c157]Minh-Quoc Nghiem, Paul Baylis, André Freitas, Sophia Ananiadou:
Text Classification and Prediction in the Legal Domain. LREC 2022: 4717-4722 - [c156]Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou:
Incorporating Zoning Information into Argument Mining from Biomedical Literature. LREC 2022: 6162-6169 - [c155]Annika Marie Schoene, Nina Dethlefs, Sophia Ananiadou:
RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification. LREC 2022: 6317-6327 - [c154]Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao:
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. SIGIR 2022: 353-362 - [c153]Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, Sophia Ananiadou:
Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media. WWW 2022: 1148-1158 - [e18]Dina Demner-Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou, Junichi Tsujii:
Proceedings of the 21st Workshop on Biomedical Language Processing, BioNLP@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-27-8 [contents] - [i16]Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Junzhou Huang, Da Luo, Kangyi Lin, Sophia Ananiadou:
Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction. CoRR abs/2201.13311 (2022) - [i15]Erxue Min, Runfa Chen, Yatao Bian, Tingyang Xu, Kangfei Zhao, Wenbing Huang, Peilin Zhao, Junzhou Huang, Sophia Ananiadou, Yu Rong:
Transformer for Graphs: An Overview from Architecture Perspective. CoRR abs/2202.08455 (2022) - [i14]Jake Vasilakes, Chrysoula Zerva, Makoto Miwa, Sophia Ananiadou:
Learning Disentangled Representations of Negation and Uncertainty. CoRR abs/2204.00511 (2022) - [i13]Qianqian Xie, Jimin Huang, Tulika Saha, Sophia Ananiadou:
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization. CoRR abs/2208.09982 (2022) - [i12]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
Readability Controllable Biomedical Document Summarization. CoRR abs/2210.04705 (2022) - 2021
- [c152]Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla, Sophia Ananiadou:
Investigating Text Simplification Evaluation. ACL/IJCNLP (Findings) 2021: 876-882 - [c151]Thy Thy Tran, Phong Le, Sophia Ananiadou:
One-shot to Weakly-Supervised Relation Classification using Language Models. AKBC 2021 - [c150]Jiarun Cao, Elke M. van Veen, Niels Peek, Andrew G. Renehan, Sophia Ananiadou:
EPICURE: Ensemble Pretrained Models for Extracting Cancer Mutations from Literature. CBMS 2021: 461-467 - [c149]Hassan Alhuzali, Tianlin Zhang, Sophia Ananiadou:
Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier. CLEF (Working Notes) 2021: 888-896 - [c148]Minh-Quoc Nghiem, Paul Baylis, Sophia Ananiadou:
Paladin: an annotation tool based on active and proactive learning. EACL (System Demonstrations) 2021: 238-243 - [c147]Hassan Alhuzali, Sophia Ananiadou:
SpanEmo: Casting Multi-label Emotion Classification as Span-prediction. EACL 2021: 1573-1584 - [c146]Emrah Inan, Paul Thompson, Tim Yates, Sophia Ananiadou:
HSEarch: Semantic Search System for Workplace Accident Reports. ECIR (2) 2021: 514-519 - [c145]Jiarun Cao, Sophia Ananiadou:
GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction. EMNLP (Findings) 2021: 2119-2126 - [c144]Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou:
Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors. NAACL-HLT 2021: 11-26 - [c143]Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla, Sophia Ananiadou:
The Role of Text Simplification Operations in Evaluation. CTTS@SEPLN 2021 - [e17]Dina Demner-Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou, Junichi Tsujii:
Proceedings of the 20th Workshop on Biomedical Language Processing, BioNLP@NAACL-HLT 2021, Online, June 11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-40-4 [contents] - [i11]Hassan Alhuzali, Sophia Ananiadou:
SpanEmo: Casting Multi-label Emotion Classification as Span-prediction. CoRR abs/2101.10038 (2021) - [i10]Emrah Inan, Paul Thompson, Tim Yates, Sophia Ananiadou:
HSEarch: semantic search system for workplace accident reports. CoRR abs/2103.12420 (2021) - [i9]Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou:
Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors. CoRR abs/2104.08225 (2021) - [i8]Jiarun Cao, Elke M. van Veen, Niels Peek, Andrew G. Renehan, Sophia Ananiadou:
EPICURE Ensemble Pretrained Models for Extracting Cancer Mutations from Literature. CoRR abs/2106.07722 (2021) - [i7]Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla, Sophia Ananiadou:
Investigating Text Simplification Evaluation. CoRR abs/2107.13662 (2021) - 2020
- [j99]Hai-Long Trieu, Thy Thy Tran, Anh-Khoa Duong Nguyen, Anh Nguyen, Makoto Miwa, Sophia Ananiadou:
DeepEventMine: end-to-end neural nested event extraction from biomedical texts. Bioinform. 36(19): 4910-4917 (2020) - [j98]Thy Thy Tran, Makoto Miwa, Sophia Ananiadou:
Syntactically-informed word representations from graph neural network. Neurocomputing 413: 431-443 (2020) - [j97]Meizhi Ju, Nhung T. H. Nguyen, Makoto Miwa, Sophia Ananiadou:
An ensemble of neural models for nested adverse drug events and medication extraction with subwords. J. Am. Medical Informatics Assoc. 27(1): 22-30 (2020) - [j96]Fenia Christopoulou, Thy Thy Tran, Sunil Kumar Sahu, Makoto Miwa, Sophia Ananiadou:
Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods. J. Am. Medical Informatics Assoc. 27(1): 39-46 (2020) - [j95]Chrysoula Zerva, Minh-Quoc Nghiem, Nhung T. H. Nguyen, Sophia Ananiadou:
Cited text span identification for scientific summarisation using pre-trained encoders. Scientometrics 125(3): 3109-3137 (2020) - [c142]Thy Thy Tran, Phong Le, Sophia Ananiadou:
Revisiting Unsupervised Relation Extraction. ACL 2020: 7498-7505 - [c141]Maolin Li, Hiroya Takamura, Sophia Ananiadou:
A Neural Model for Aggregating Coreference Annotation in Crowdsourcing. COLING 2020: 5760-5773 - [c140]Paul Thompson, Tim Yates, Emrah Inan, Sophia Ananiadou:
Semantic Annotation for Improved Safety in Construction Work. LREC 2020: 1990-1999 - [e16]Dina Demner-Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou, Junichi Tsujii:
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, BioNLP 2020, Online, July 9, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-09-5 [contents] - [i6]Thy Thy Tran, Phong Le, Sophia Ananiadou:
Revisiting Unsupervised Relation Extraction. CoRR abs/2005.00087 (2020)
2010 – 2019
- 2019
- [j94]Axel J. Soto, Piotr Przybyla, Sophia Ananiadou:
Thalia: semantic search engine for biomedical abstracts. Bioinform. 35(10): 1799-1801 (2019) - [j93]Yipei Wang, Xingyu Fan, Luoxin Chen, Eric I-Chao Chang, Sophia Ananiadou, Junichi Tsujii, Yan Xu:
Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries. BMC Bioinform. 20(1): 430:1-430:11 (2019) - [j92]Piotr Przybyla, Austin J. Brockmeier, Sophia Ananiadou:
Quantifying risk factors in medical reports with a context-aware linear model. J. Am. Medical Informatics Assoc. 26(6): 537-546 (2019) - [j91]Austin J. Brockmeier, Meizhi Ju, Piotr Przybyla, Sophia Ananiadou:
Improving reference prioritisation with PICO recognition. BMC Medical Informatics Decis. Mak. 19(1): 256 (2019) - [j90]Yifei Wang, Sophia Ananiadou, Jun'ichi Tsujii:
Improving clinical named entity recognition in Chinese using the graphical and phonetic feature. BMC Medical Informatics Decis. Mak. 19-S(7): 273 (2019) - [j89]Matthew Shardlow, Meizhi Ju, Maolin Li, Christian O'Reilly, Elisabetta Iavarone, John McNaught, Sophia Ananiadou:
A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience. Neuroinformatics 17(3): 391-406 (2019) - [c139]Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou:
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network. ACL (1) 2019: 4309-4316 - [c138]Hai-Long Trieu, Anh-Khoa Duong Nguyen, Nhung T. H. Nguyen, Makoto Miwa, Hiroya Takamura, Sophia Ananiadou:
Coreference Resolution in Full Text Articles with BERT and Syntax-based Mention Filtering. BioNLP-OST@EMNLP-IJNCLP 2019: 196-205 - [c137]Hassan Alhuzali, Sophia Ananiadou:
Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning. BioNLP@ACL 2019: 339-347 - [c136]Kurt Junshean Espinosa, Makoto Miwa, Sophia Ananiadou:
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection. EMNLP/IJCNLP (1) 2019: 3677-3684 - [c135]Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou:
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs. EMNLP/IJCNLP (1) 2019: 4924-4935 - [c134]Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou:
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks. NAACL-HLT (1) 2019: 2873-2883 - [c133]Chrysoula Zerva, Minh-Quoc Nghiem, Nhung T. H. Nguyen, Sophia Ananiadou:
NaCTeM-UoM @ CL-SciSumm 2019. BIRNDL@SIGIR 2019: 167-180 - [e15]Dina Demner-Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou, Junichi Tsujii:
Proceedings of the 18th BioNLP Workshop and Shared Task, BioNLP@ACL 2019, Florence, Italy, August 1, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-28-4 [contents] - [i5]Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou:
A Walk-based Model on Entity Graphs for Relation Extraction. CoRR abs/1902.07023 (2019) - [i4]Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou:
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks. CoRR abs/1905.04981 (2019) - [i3]Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou:
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network. CoRR abs/1906.04684 (2019) - [i2]Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou:
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs. CoRR abs/1909.00228 (2019) - [i1]Kurt Junshean Espinosa, Makoto Miwa, Sophia Ananiadou:
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection. CoRR abs/1910.10281 (2019) - 2018
- [j88]Axel J. Soto, Chrysoula Zerva, Riza Batista-Navarro, Sophia Ananiadou:
LitPathExplorer: a confidence-based visual text analytics tool for exploring literature-enriched pathway models. Bioinform. 34(8): 1389-1397 (2018) - [j87]Paul Thompson, Sophia Daikou, Kenju Ueno, Riza Batista-Navarro, Jun'ichi Tsujii, Sophia Ananiadou:
Annotation and detection of drug effects in text for pharmacovigilance. J. Cheminformatics 10(1): 37:1-37:33 (2018) - [j86]Matthew Shardlow, Riza Batista-Navarro, Paul Thompson, Raheel Nawaz, John McNaught, Sophia Ananiadou:
Identification of research hypotheses and new knowledge from scientific literature. BMC Medical Informatics Decis. Mak. 18(1): 46:1-46:13 (2018) - [j85]Tingting Mu, John Yannis Goulermas, Sophia Ananiadou:
Data Visualization with Structural Control of Global Cohort and Local Data Neighborhoods. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1323-1337 (2018) - [j84]Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas:
Self-Tuned Descriptive Document Clustering Using a Predictive Network. IEEE Trans. Knowl. Data Eng. 30(10): 1929-1942 (2018) - [c132]Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou:
A Walk-based Model on Entity Graphs for Relation Extraction. ACL (2) 2018: 81-88 - [c131]Yifei Wang, Sophia Ananiadou, Jun'ichi Tsujii:
Improve Chinese Clinical Named Entity Recognition Performance by Using the Graphical and Phonetic Feature. BIBM 2018: 1582-1586 - [c130]Hai-Long Trieu, Nhung T. H. Nguyen, Makoto Miwa, Sophia Ananiadou:
Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts. BioNLP 2018: 183-188 - [c129]Minh-Quoc Nghiem, Sophia Ananiadou:
APLenty: annotation tool for creating high-quality datasets using active and proactive learning. EMNLP (Demonstration) 2018: 108-113 - [c128]Matthew Shardlow, Nhung T. H. Nguyen, Gareth Owen, Claire O'Donovan, Andrew Leach, John McNaught, Steve Turner, Sophia Ananiadou:
A New Corpus to Support Text Mining for the Curation of Metabolites in the ChEBI Database. LREC 2018 - [c127]Meizhi Ju, Makoto Miwa, Sophia Ananiadou:
A Neural Layered Model for Nested Named Entity Recognition. NAACL-HLT 2018: 1446-1459 - [e14]Dina Demner-Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou, Junichi Tsujii:
Proceedings of the BioNLP 2018 workshop, Melbourne, Australia, July 19, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-33-9 [contents] - 2017
- [j83]Chrysoula Zerva, Riza Batista-Navarro, Philip Day, Sophia Ananiadou:
Using uncertainty to link and rank evidence from biomedical literature for model curation. Bioinform. 33(23): 3784-3792 (2017) - [j82]Georgios Kontonatsios, Austin J. Brockmeier, Piotr Przybyla, John McNaught, Tingting Mu, John Yannis Goulermas, Sophia Ananiadou:
A semi-supervised approach using label propagation to support citation screening. J. Biomed. Informatics 72: 67-76 (2017) - [j81]Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas:
Quantifying the Informativeness of Similarity Measurements. J. Mach. Learn. Res. 18: 76:1-76:61 (2017) - [j80]Paul Thompson, Raheel Nawaz, John McNaught, Sophia Ananiadou:
Enriching news events with meta-knowledge information. Lang. Resour. Evaluation 51(2): 409-438 (2017) - [c126]Maolin Li, Nhung T. H. Nguyen, Sophia Ananiadou:
Proactive Learning for Named Entity Recognition. BioNLP 2017: 117-125 - [c125]Motoki Sato, Austin J. Brockmeier, Georgios Kontonatsios, Tingting Mu, John Yannis Goulermas, Jun'ichi Tsujii, Sophia Ananiadou:
Distributed Document and Phrase Co-embeddings for Descriptive Clustering. EACL (1) 2017: 991-1001 - [c124]Paul Thompson, Sophia Ananiadou:
Extracting Gene-Disease Relations from Text to Support Biomarker Discovery. DH 2017: 180-189 - [c123]Piotr Przybyla, Axel J. Soto, Sophia Ananiadou:
Identifying Personalised Treatments and Clinical Trials for Precision Medicine using Semantic Search with Thalia. TREC 2017 - [e13]Kevin Bretonnel Cohen, Dina Demner-Fushman, Sophia Ananiadou, Junichi Tsujii:
BioNLP 2017, Vancouver, Canada, August 4, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-59-3 [contents] - 2016
- [j79]Riza Theresa Batista-Navarro, Jacob Carter, Sophia Ananiadou:
Argo: enabling the development of bespoke workflows and services for disease annotation. Database J. Biol. Databases Curation 2016 (2016) - [j78]Sun Kim, Rezarta Islamaj Dogan, Andrew Chatr-aryamontri, Christie S. Chang, Rose Oughtred, Jennifer M. Rust, Riza Batista-Navarro, Jacob Carter, Sophia Ananiadou, Sérgio Matos, André Santos, David Campos, José Luís Oliveira, Onkar Singh, Jitendra Jonnagaddala, Hong-Jie Dai, Emily Chia-Yu Su, Yung-Chun Chang, Yu-Chen Su, Chun-Han Chu, Chien Chin Chen, Wen-Lian Hsu, Yifan Peng, Cecilia N. Arighi, Cathy H. Wu, K. Vijay-Shanker, Ferhat Aydin, Zehra Melce Hüsünbeyi, Arzucan Özgür, Soo-Yong Shin, Dongseop Kwon, Kara Dolinski, Mike Tyers, W. John Wilbur, Donald C. Comeau:
BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID. Database J. Biol. Databases Curation 2016 (2016) - [j77]Piotr Przybyla, Matthew Shardlow, Sophie Aubin, Robert Bossy, Richard Eckart de Castilho, Stelios Piperidis, John McNaught, Sophia Ananiadou:
Text mining resources for the life sciences. Database J. Biol. Databases Curation 2016 (2016) - [j76]Qinghua Wang, Shabbir S. Abdul, Lara Almeida, Sophia Ananiadou, Yalbi I. Balderas-Martínez, Riza Batista-Navarro, David Campos, Lucy Chilton, Hui-Jou Chou, Gabriela Contreras, Laurel Cooper, Hong-Jie Dai, Barbra Ferrell, Juliane Fluck, Socorro Gama-Castro, Nancy George, Georgios V. Gkoutos, Afroza Khanam Irin, Lars Juhl Jensen, Silvia Jimenez, Toni Rose Jue, Ingrid M. Keseler, Sumit Madan, Sérgio Matos, Peter McQuilton, Marija Milacic, Matthew E. Mort, Jeyakumar Natarajan, Evangelos Pafilis, Emiliano Pereira, Shruti Rao, Fabio Rinaldi, Karen Rothfels, David Salgado, Raquel M. Silva, Onkar Singh, Raymund Stefancsik, Chu-Hsien Su, Suresh Subramani, Hamsa D. Tadepally, Loukia Tsaprouni, Nicole A. Vasilevsky, Xiaodong Wang, Andrew Chatr-aryamontri, Stanley J. F. Laulederkind, Sherri Matis-Mitchell, Johanna R. McEntyre, Sandra E. Orchard, Sangya Pundir, Raul Rodriguez-Esteban, Kimberly Van Auken, Zhiyong Lu, Mary L. Schaeffer, Cathy H. Wu, Lynette Hirschman, Cecilia N. Arighi:
Overview of the interactive task in BioCreative V. Database J. Biol. Databases Curation 2016 (2016) - [j75]Tingting Mu, John Yannis Goulermas, Ioannis Korkontzelos, Sophia Ananiadou:
Descriptive document clustering via discriminant learning in a co-embedded space of multilevel similarities. J. Assoc. Inf. Sci. Technol. 67(1): 106-133 (2016) - [j74]Kazuma Hashimoto, Georgios Kontonatsios, Makoto Miwa, Sophia Ananiadou:
Topic detection using paragraph vectors to support active learning in systematic reviews. J. Biomed. Informatics 62: 59-65 (2016) - [j73]Ioannis Korkontzelos, Azadeh Nikfarjam, Matthew Shardlow, Abeed Sarker, Sophia Ananiadou, Graciela Gonzalez-Hernandez:
Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts. J. Biomed. Informatics 62: 148-158 (2016) - [j72]Georg Rehm, Hans Uszkoreit, Sophia Ananiadou, Núria Bel, Audroné Bieleviciené, Lars Borin, António Branco, Gerhard Budin, Nicoletta Calzolari, Walter Daelemans, Radovan Garabík, Marko Grobelnik, Carmen García-Mateo, Josef van Genabith, Jan Hajic, Inma Hernáez, John Judge, Svetla Koeva, Simon Krek, Cvetana Krstev, Krister Lindén, Bernardo Magnini, Joseph Mariani, John McNaught, Maite Melero, Monica Monachini, Asunción Moreno, Jan Odijk, Maciej Ogrodniczuk, Piotr Pezik, Stelios Piperidis, Adam Przepiórkowski, Eiríkur Rögnvaldsson, Mike Rosner, Bolette Sandford Pedersen, Inguna Skadina, Koenraad De Smedt, Marko Tadic, Paul Thompson, Dan Tufis, Tamás Váradi, Andrejs Vasiljevs, Kadri Vider, Jolanta Zabarskaite:
The strategic impact of META-NET on the regional, national and international level. Lang. Resour. Evaluation 50(2): 351-374 (2016) - [c122]Kurt Junshean Espinosa, Riza Theresa Batista-Navarro, Sophia Ananiadou:
Learning to recognise named entities in tweets by exploiting weakly labelled data. NUT@COLING 2016: 153-163 - [c121]Riza Theresa Batista-Navarro, Jennifer Hammock, William Ulate, Sophia Ananiadou:
A Text Mining Framework for Accelerating the Semantic Curation of Literature. TPDL 2016: 459-462 - [c120]Ioannis Korkontzelos, Paul Thompson, Sophia Ananiadou:
Identifying Content Types of Messages Related to Open Source Software Projects. LREC 2016 - [c119]Ioannis Korkontzelos, Beverley Thomas, Makoto Miwa, Sophia Ananiadou:
Ensemble Classification of Grants using LDA-based Features. LREC 2016 - [c118]Sophia Ananiadou, Paul Thompson:
Supporting Biological Pathway Curation Through Text Mining. DAMDID/RCDL (Selected Papers) 2016: 59-73 - [c117]Sophia Ananiadou:
Text Mining Bridging the Gap between Knowledge and Text. DAMDID/RCDL 2016: 140-141 - [c116]Piotr Przybyla, Nhung T. H. Nguyen, Matthew Shardlow, Georgios Kontonatsios, Sophia Ananiadou:
NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features. SemEval@NAACL-HLT 2016: 614-620 - [c115]Riza Batista-Navarro, Chrysoula Zerva, Sophia Ananiadou:
Construction of a Biodiversity Knowledge Repository using a Text Mining-based Framework. SIMBig 2016: 22-25 - [c114]Riza Batista-Navarro, Chrysoula Zerva, Nhung T. H. Nguyen, Sophia Ananiadou:
A Text Mining-Based Framework for Constructing an RDF-Compliant Biodiversity Knowledge Repository. SIMBig (Revised Selected Papers) 2016: 30-42 - [e12]Kevin Bretonnel Cohen, Dina Demner-Fushman, Sophia Ananiadou, Jun'ichi Tsujii:
Proceedings of the 15th Workshop on Biomedical Natural Language Processing, BioNLP@ACL 2016, Berlin, Germany, August 12, 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-12-8 [contents] - [e11]Sophia Ananiadou, Riza Batista-Navarro, Kevin Bretonnel Cohen, Dina Demner-Fushman, Paul Thompson:
Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining, BioTxtM@COLING 2016, Osaka, Japan, December 12, 2016. The COLING 2016 Organizing Committee 2016, ISBN 978-4-87974-719-8 [contents] - 2015
- [j71]Ioannis Korkontzelos, Dimitrios Piliouras, Andrew W. Dowsey, Sophia Ananiadou:
Boosting drug named entity recognition using an aggregate classifier. Artif. Intell. Medicine 65(2): 145-153 (2015) - [j70]Xiao Fu, Riza Theresa Batista-Navarro, Rafal Rak, Sophia Ananiadou:
Supporting the annotation of chronic obstructive pulmonary disease (COPD) phenotypes with text mining workflows. J. Biomed. Semant. 6: 8 (2015) - [j69]Yan Xu, Luoxin Chen, Junsheng Wei, Sophia Ananiadou, Yubo Fan, Yi Qian, Eric I-Chao Chang, Jun'ichi Tsujii:
Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary. BMC Bioinform. 16: 149:1-149:10 (2015) - [j68]Riza Theresa Batista-Navarro, Rafal Rak, Sophia Ananiadou:
Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristics. J. Cheminformatics 7(S-1): S6 (2015) - [j67]Noha Alnazzawi, Paul Thompson, Riza Theresa Batista-Navarro, Sophia Ananiadou:
Using text mining techniques to extract phenotypic information from the PhenoCHF corpus. BMC Medical Informatics Decis. Mak. 15(S-2): S3 (2015) - [c113]Chrysoula Zerva, Sophia Ananiadou:
Event Extraction in pieces: Tackling the partial event identification problem on unseen corpora. BioNLP@IJCNLP 2015: 31-41 - [c112]