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ORCIDSophia Ananiadou
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- affiliation: University of Manchester, UK
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2020 – today
- 2023
[j115]Tianlin Zhang
, Kailai Yang, Shaoxiong Ji, Sophia Ananiadou:
Emotion fusion for mental illness detection from social media: A survey. Inf. Fusion 92: 231-246 (2023)- [j114]Tianlin Zhang, Kailai Yang, Hassan Alhuzali, Boyang Liu, Sophia Ananiadou:
PHQ-aware depressive symptoms identification with similarity contrastive learning on social media. Inf. Process. Manag. 60(5): 103417 (2023) - [j113]Boyang Liu, Viktor Schlegel, Paul Thompson, Riza Theresa Batista-Navarro, Sophia Ananiadou:
Global information-aware argument mining based on a top-down multi-turn QA model. Inf. Process. Manag. 60(5): 103445 (2023) - [j112]Jake Vasilakes, Panagiotis Georgiadis, Nhung T. H. Nguyen, Makoto Miwa, Sophia Ananiadou:
Contextualized medication event extraction with levitated markers. J. Biomed. Informatics 141: 104347 (2023) - [j111]Hassan Alhuzali, Sophia Ananiadou:
Improving Textual Emotion Recognition Based on Intra- and Inter-Class Variations. IEEE Trans. Affect. Comput. 14(2): 1297-1307 (2023) - [j110]Annika Marie Schoene, Lana Bojanic, Minh-Quoc Nghiem, Isabelle M. Hunt, Sophia Ananiadou:
Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks. IEEE Trans. Affect. Comput. 14(3): 1791-1802 (2023) - [j109]Jiarun Cao, Elke M. van Veen, Niels Peek, Andrew G. Renehan, Sophia Ananiadou:
A Novel Automated Approach to Mutation-Cancer Relation Extraction by Incorporating Heterogeneous Knowledge. IEEE J. Biomed. Health Informatics 27(2): 1096-1105 (2023) - [c173]Jiarun Cao, Niels Peek, Andrew G. Renehan, Sophia Ananiadou:
Gaussian Distributed Prototypical Network for Few-shot Genomic Variant Detection. BioNLP@ACL 2023: 26-36 - [c172]Chenhan Yuan, Qianqian Xie, Sophia Ananiadou:
Zero-shot Temporal Relation Extraction with ChatGPT. BioNLP@ACL 2023: 92-102 - [c171]Tianlin Zhang, Kailai Yang, Sophia Ananiadou:
Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media. BioNLP@ACL 2023: 114-126 - [c170]Ken Yano, Makoto Miwa, Sophia Ananiadou:
DISTANT: Distantly Supervised Entity Span Detection and Classification. BioNLP@ACL 2023: 171-177 - [c169]Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, Chenghua Lin:
BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles. BioNLP@ACL 2023: 468-477 - [c168]Kailai Yang, Tianlin Zhang, Shaoxiong Ji, Sophia Ananiadou:
A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge. CIKM 2023: 2917-2927 - [c167]Nhung Nguyen, Makoto Miwa, Sophia Ananiadou:
Span-based Named Entity Recognition by Generating and Compressing Information. EACL 2023: 1976-1988 - [c166]Erxue Min, Sophia Ananiadou:
PESTO: A Post-User Fusion Network for Rumour Detection on Social Media. WASSA@ACL 2023: 1-10 - [c165]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization. WWW 2023: 1843-1852 - [e19]Dina Demner-Fushman, Sophia Ananiadou, Kevin Cohen:
The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, BioNLP@ACL 2023, Toronto, Canada, 13 July 2023. Association for Computational Linguistics 2023 [contents] - [i34]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization. CoRR abs/2301.11223 (2023) - [i33]Kailai Yang, Tianlin Zhang, Hassan Alhuzali, Sophia Ananiadou:
Cluster-Level Contrastive Learning for Emotion Recognition in Conversations. CoRR abs/2302.03508 (2023) - [i32]Nhung T. H. Nguyen, Makoto Miwa, Sophia Ananiadou:
Span-based Named Entity Recognition by Generating and Compressing Information. CoRR abs/2302.05392 (2023) - [i31]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
ChatGPT as a Factual Inconsistency Evaluator for Abstractive Text Summarization. CoRR abs/2303.15621 (2023) - [i30]Kailai Yang, Shaoxiong Ji, Tianlin Zhang, Qianqian Xie, Sophia Ananiadou:
On the Evaluations of ChatGPT and Emotion-enhanced Prompting for Mental Health Analysis. CoRR abs/2304.03347 (2023) - [i29]Chenhan Yuan, Qianqian Xie, Sophia Ananiadou:
Zero-shot Temporal Relation Extraction with ChatGPT. CoRR abs/2304.05454 (2023) - [i28]Qianqian Xie, Zheheng Luo, Benyou Wang, Sophia Ananiadou:
A Survey on Biomedical Text Summarization with Pre-trained Language Model. CoRR abs/2304.08763 (2023) - [i27]Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Sophia Ananiadou:
Emotion fusion for mental illness detection from social media: A survey. CoRR abs/2304.09493 (2023) - [i26]Shaoxiong Ji, Tianlin Zhang, Kailai Yang, Sophia Ananiadou, Erik Cambria, Jörg Tiedemann:
Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health. CoRR abs/2304.10447 (2023) - [i25]Kailai Yang, Tianlin Zhang, Sophia Ananiadou:
Disentangled Variational Autoencoder for Emotion Recognition in Conversations. CoRR abs/2305.14071 (2023) - [i24]Zheheng Luo, Lei Liu, Qianqian Xie, Sophia Ananiadou:
Graph Contrastive Topic Model. CoRR abs/2307.02078 (2023) - [i23]Kailai Yang, Tianlin Zhang, Shaoxiong Ji, Sophia Ananiadou:
A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge. CoRR abs/2308.04811 (2023) - [i22]Jennifer Bishop, Qianqian Xie, Sophia Ananiadou:
LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation. CoRR abs/2309.12455 (2023) - [i21]Kailai Yang, Tianlin Zhang, Ziyan Kuang, Qianqian Xie, Sophia Ananiadou:
MentalLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models. CoRR abs/2309.13567 (2023) - [i20]Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, Chenghua Lin:
Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles. CoRR abs/2309.17332 (2023) - [i19]Chenhan Yuan, Qianqian Xie, Jimin Huang, Sophia Ananiadou:
Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models. CoRR abs/2310.01074 (2023) - [i18]Zhiwei Liu, Tianlin Zhang, Kailai Yang, Paul Thompson, Zeping Yu, Sophia Ananiadou:
Emotion Detection for Misinformation: A Review. CoRR abs/2311.00671 (2023) - [i17]Shaoxiong Ji, Tianlin Zhang, Kailai Yang, Sophia Ananiadou, Erik Cambria:
Rethinking Large Language Models in Mental Health Applications. CoRR abs/2311.11267 (2023) - 2022
- [j108]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) - [j107]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) - [j106]Odbal, Guanhong Zhang, Sophia Ananiadou:
Examining and mitigating gender bias in text emotion detection task. Neurocomputing 493: 422-434 (2022) - [j105]Maolin Li, Sophia Ananiadou:
Neural architectures for aggregating sequence labels from multiple annotators. Neurocomputing 514: 539-550 (2022) - [j104]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) - [j103]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) - [j102]Tianlin Zhang, Annika Marie Schoene, Shaoxiong Ji, Sophia Ananiadou:
Natural language processing applied to mental illness detection: a narrative review. npj Digit. Medicine 5 (2022) - [c164]Jake Vasilakes, Chrysoula Zerva, Makoto Miwa, Sophia Ananiadou:
Learning Disentangled Representations of Negation and Uncertainty. ACL (1) 2022: 8380-8397 - [c163]Hai-Long Trieu, Makoto Miwa, Sophia Ananiadou:
Named Entity Recognition for Cancer Immunology Research Using Distant Supervision. BioNLP@ACL 2022: 171-177 - [c162]Jennifer Bishop, Qianqian Xie, Sophia Ananiadou:
GenCompareSum: a hybrid unsupervised summarization method using salience. BioNLP@ACL 2022: 220-240 - [c161]Qianqian Xie, Jimin Huang, Tulika Saha, Sophia Ananiadou:
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization. COLING 2022: 6259-6269 - [c160]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
Readability Controllable Biomedical Document Summarization. EMNLP (Findings) 2022: 4667-4680 - [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
- [j101]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) - [j100]Thy Thy Tran, Makoto Miwa, Sophia Ananiadou:
Syntactically-informed word representations from graph neural network. Neurocomputing 413: 431-443 (2020) - [j99]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) - [j98]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) - [j97]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
- [j96]Axel J. Soto, Piotr Przybyla, Sophia Ananiadou:
Thalia: semantic search engine for biomedical abstracts. Bioinform. 35(10): 1799-1801 (2019) - [j95]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) - [j94]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) - [j93]Austin J. Brockmeier, Meizhi Ju, Piotr Przybyla, Sophia Ananiadou:
Improving reference prioritisation with PICO recognition. BMC Medical Informatics Decis. Mak. 19(1): 256 (2019) - [j92]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) - [j91]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
- [j90]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) - [j89]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) - [j88]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) - [j87]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) - [j86]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]