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ORCIDSophia Ananiadou
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- affiliation: University of Manchester, UK
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2020 – today
- 2024
[j123]Zheheng Luo
, Qianqian Xie, Sophia Ananiadou:
Factual consistency evaluation of summarization in the Era of large language models. Expert Syst. Appl. 254: 124456 (2024)- [j122]Zheheng Luo, Lei Liu, Sophia Ananiadou, Qianqian Xie:
Graph Contrastive Topic Model. Expert Syst. Appl. 255: 124631 (2024) - [j121]Yogesh K. Dwivedi, Laurie Hughes, Harshad K. D. H. Bhadeshia, Sophia Ananiadou, Anthony G. Cohn, Jacqueline M. Cole, Gareth John Conduit, Maunendra Sankar Desarkar, Xinwei Wang:
Artificial intelligence (AI) futures: India-UK collaborations emerging from the 4th Royal Society Yusuf Hamied workshop. Int. J. Inf. Manag. 76: 102725 (2024) - [j120]Zhiwei Liu, Tianlin Zhang, Kailai Yang, Paul Thompson, Zeping Yu, Sophia Ananiadou:
Emotion detection for misinformation: A review. Inf. Fusion 107: 102300 (2024) - [j119]Chenhan Yuan, Qianqian Xie, Sophia Ananiadou:
Temporal relation extraction with contrastive prototypical sampling. Knowl. Based Syst. 286: 111410 (2024) - [j118]Kailai Yang, Tianlin Zhang, Sophia Ananiadou:
Disentangled Variational Autoencoder for Emotion Recognition in Conversations. IEEE Trans. Affect. Comput. 15(2): 508-518 (2024) - [j117]Qianqian Xie, Prayag Tiwari, Sophia Ananiadou:
Knowledge-Enhanced Graph Topic Transformer for Explainable Biomedical Text Summarization. IEEE J. Biomed. Health Informatics 28(4): 1836-1847 (2024) - [c185]Jennifer Bishop, Sophia Ananiadou, Qianqian Xie:
LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation. LREC/COLING 2024: 10777-10789 - [c184]Zhiwei Liu, Boyang Liu, Paul Thompson, Kailai Yang, Sophia Ananiadou:
ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model. ECAI 2024: 4649-4656 - [c183]Zeping Yu, Sophia Ananiadou:
Neuron-Level Knowledge Attribution in Large Language Models. EMNLP 2024: 3267-3280 - [c182]Zeping Yu, Sophia Ananiadou:
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning. EMNLP 2024: 3281-3292 - [c181]Zeping Yu, Sophia Ananiadou:
Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis. EMNLP 2024: 3293-3306 - [c180]Zhiwei Liu, Kailai Yang, Qianqian Xie, Tianlin Zhang, Sophia Ananiadou:
EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis. KDD 2024: 5487-5496 - [c179]Xiao Zhang, Ruoyu Xiang, Chenhan Yuan, Duanyu Feng, Weiguang Han, Alejandro Lopez-Lira, Xiao-Yang Liu, Meikang Qiu, Sophia Ananiadou, Min Peng, Jimin Huang, Qianqian Xie:
Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English. KDD 2024: 6236-6246 - [c178]Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Boyang Liu, Qianqian Xie, Sophia Ananiadou:
SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content. SIGIR 2024: 1136-1141 - [c177]Chenhan Yuan, Qianqian Xie, Jimin Huang, Sophia Ananiadou:
Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models. WWW 2024: 1963-1974 - [c176]Kailai Yang, Tianlin Zhang, Ziyan Kuang, Qianqian Xie, Jimin Huang, Sophia Ananiadou:
MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models. WWW 2024: 4489-4500 - [e20]Dina Demner-Fushman, Sophia Ananiadou, Makoto Miwa, Kirk Roberts, Junichi Tsujii:
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, BioNLP@ACL 2024, Bangkok, Thailand, August 16, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-130-8 [contents] - [i53]Yining Hua, Fenglin Liu, Kailai Yang, Zehan Li, Yi-han Sheu, Peilin Zhou, Lauren V. Moran, Sophia Ananiadou, Andrew Beam:
Large Language Models in Mental Health Care: a Scoping Review. CoRR abs/2401.02984 (2024) - [i52]Zhiwei Liu, Kailai Yang, Tianlin Zhang, Qianqian Xie, Zeping Yu, Sophia Ananiadou:
EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis. CoRR abs/2401.08508 (2024) - [i51]Zeping Yu, Sophia Ananiadou:
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning. CoRR abs/2402.02872 (2024) - [i50]Xiao Zhang, Ruoyu Xiang, Chenhan Yuan, Duanyu Feng, Weiguang Han, Alejandro Lopez-Lira, Xiao-Yang Liu, Sophia Ananiadou, Min Peng, Jimin Huang, Qianqian Xie:
Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English. CoRR abs/2402.07405 (2024) - [i49]Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, Zhiyang Deng, Yuechen Jiang, Zhiyuan Yao, Haohang Li, Yangyang Yu, Gang Hu, Jiajia Huang, Xiao-Yang Liu, Alejandro Lopez-Lira, Benyou Wang, Yanzhao Lai, Hao Wang, Min Peng, Sophia Ananiadou, Jimin Huang:
The FinBen: An Holistic Financial Benchmark for Large Language Models. CoRR abs/2402.12659 (2024) - [i48]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models. CoRR abs/2402.13498 (2024) - [i47]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
Factual Consistency Evaluation of Summarisation in the Era of Large Language Models. CoRR abs/2402.13758 (2024) - [i46]Gang Hu, Ke Qin, Chenhan Yuan, Min Peng, Alejandro Lopez-Lira, Benyou Wang, Sophia Ananiadou, Wanlong Yu, Jimin Huang, Qianqian Xie:
No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks. CoRR abs/2403.06249 (2024) - [i45]Zhiwei Liu, Boyang Liu, Paul Thompson, Kailai Yang, Raghav Jain, Sophia Ananiadou:
ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model. CoRR abs/2403.06765 (2024) - [i44]Kailai Yang, Zhiwei Liu, Qianqian Xie, Tianlin Zhang, Nirui Song, Jimin Huang, Ziyan Kuang, Sophia Ananiadou:
MetaAligner: Conditional Weak-to-Strong Correction for Generalizable Multi-Objective Alignment of Language Models. CoRR abs/2403.17141 (2024) - [i43]Zhiwei Liu, Kailai Yang, Qianqian Xie, Christine de Kock, Sophia Ananiadou, Eduard H. Hovy:
RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information. CoRR abs/2406.11093 (2024) - [i42]Zheheng Luo, Chenhan Yuan, Qianqian Xie, Sophia Ananiadou:
Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams. CoRR abs/2406.11328 (2024) - [i41]Yuxin Wang, Duanyu Feng, Yongfu Dai, Zhengyu Chen, Jimin Huang, Sophia Ananiadou, Qianqian Xie, Hao Wang:
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection. CoRR abs/2408.02927 (2024) - [i40]Qianqian Xie, Dong Li, Mengxi Xiao, Zihao Jiang, Ruoyu Xiang, Xiao Zhang, Zhengyu Chen, Yueru He, Weiguang Han, Yuzhe Yang, Shunian Chen, Yifei Zhang, Lihang Shen, Daniel S. Kim, Zhiwei Liu, Zheheng Luo, Yangyang Yu, Yupeng Cao, Zhiyang Deng, Zhiyuan Yao, Haohang Li, Duanyu Feng, Yongfu Dai, VijayaSai Somasundaram, Peng Lu, Yilun Zhao, Yitao Long, Guojun Xiong, Kaleb Smith, Honghai Yu, Yanzhao Lai, Min Peng, Jianyun Nie, Jordan W. Suchow, Xiao-Yang Liu, Benyou Wang, Alejandro Lopez-Lira, Jimin Huang, Sophia Ananiadou:
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications. CoRR abs/2408.11878 (2024) - [i39]Kailai Yang, Zhiwei Liu, Qianqian Xie, Jimin Huang, Erxue Min, Sophia Ananiadou:
Selective Preference Optimization via Token-Level Reward Function Estimation. CoRR abs/2408.13518 (2024) - [i38]Zeping Yu, Sophia Ananiadou:
Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis. CoRR abs/2409.14144 (2024) - [i37]Zhiwei Liu, Xin Zhang, Kailai Yang, Qianqian Xie, Jimin Huang, Sophia Ananiadou:
FMDLlama: Financial Misinformation Detection based on Large Language Models. CoRR abs/2409.16452 (2024) - [i36]Zeping Yu, Sophia Ananiadou:
Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering. CoRR abs/2411.10950 (2024) - 2023
- [j116]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) - [j115]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) - [j114]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) - [j113]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) - [j112]Hassan Alhuzali, Sophia Ananiadou:
Improving Textual Emotion Recognition Based on Intra- and Inter-Class Variations. IEEE Trans. Affect. Comput. 14(2): 1297-1307 (2023) - [j111]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) - [j110]Kailai Yang, Tianlin Zhang, Hassan Alhuzali, Sophia Ananiadou:
Cluster-Level Contrastive Learning for Emotion Recognition in Conversations. IEEE Trans. Affect. Comput. 14(4): 3269-3280 (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) - [c175]Jiarun Cao, Niels Peek, Andrew G. Renehan, Sophia Ananiadou:
Gaussian Distributed Prototypical Network for Few-shot Genomic Variant Detection. BioNLP@ACL 2023: 26-36 - [c174]Chenhan Yuan, Qianqian Xie, Sophia Ananiadou:
Zero-shot Temporal Relation Extraction with ChatGPT. BioNLP@ACL 2023: 92-102 - [c173]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 - [c172]Ken Yano, Makoto Miwa, Sophia Ananiadou:
DISTANT: Distantly Supervised Entity Span Detection and Classification. BioNLP@ACL 2023: 171-177 - [c171]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 - [c170]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 - [c169]Nhung Nguyen, Makoto Miwa, Sophia Ananiadou:
Span-based Named Entity Recognition by Generating and Compressing Information. EACL 2023: 1976-1988 - [c168]Kailai Yang, Shaoxiong Ji, Tianlin Zhang, Qianqian Xie, Ziyan Kuang, Sophia Ananiadou:
Towards Interpretable Mental Health Analysis with Large Language Models. EMNLP 2023: 6056-6077 - [c167]Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou:
Argument mining as a multi-hop generative machine reading comprehension task. EMNLP (Findings) 2023: 10846-10858 - [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] - [i35]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization. CoRR abs/2301.11223 (2023) - [i34]Kailai Yang, Tianlin Zhang, Hassan Alhuzali, Sophia Ananiadou:
Cluster-Level Contrastive Learning for Emotion Recognition in Conversations. CoRR abs/2302.03508 (2023) - [i33]Nhung T. H. Nguyen, Makoto Miwa, Sophia Ananiadou:
Span-based Named Entity Recognition by Generating and Compressing Information. CoRR abs/2302.05392 (2023) - [i32]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
ChatGPT as a Factual Inconsistency Evaluator for Abstractive Text Summarization. CoRR abs/2303.15621 (2023) - [i31]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) - [i30]Chenhan Yuan, Qianqian Xie, Sophia Ananiadou:
Zero-shot Temporal Relation Extraction with ChatGPT. CoRR abs/2304.05454 (2023) - [i29]Qianqian Xie, Zheheng Luo, Benyou Wang, Sophia Ananiadou:
A Survey on Biomedical Text Summarization with Pre-trained Language Model. CoRR abs/2304.08763 (2023) - [i28]Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Sophia Ananiadou:
Emotion fusion for mental illness detection from social media: A survey. CoRR abs/2304.09493 (2023) - [i27]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) - [i26]Kailai Yang, Tianlin Zhang, Sophia Ananiadou:
Disentangled Variational Autoencoder for Emotion Recognition in Conversations. CoRR abs/2305.14071 (2023) - [i25]Zheheng Luo, Lei Liu, Qianqian Xie, Sophia Ananiadou:
Graph Contrastive Topic Model. CoRR abs/2307.02078 (2023) - [i24]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) - [i23]Jennifer Bishop, Qianqian Xie, Sophia Ananiadou:
LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation. CoRR abs/2309.12455 (2023) - [i22]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) - [i21]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) - [i20]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) - [i19]Zhiwei Liu, Tianlin Zhang, Kailai Yang, Paul Thompson, Zeping Yu, Sophia Ananiadou:
Emotion Detection for Misinformation: A Review. CoRR abs/2311.00671 (2023) - [i18]Shaoxiong Ji, Tianlin Zhang, Kailai Yang, Sophia Ananiadou, Erik Cambria:
Rethinking Large Language Models in Mental Health Applications. CoRR abs/2311.11267 (2023) - [i17]Zeping Yu, Kailai Yang, Zhiwei Liu, Sophia Ananiadou:
Exploring the Residual Stream of Transformers. CoRR abs/2312.12141 (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]