Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

BEKIJK
EXPORTEER
- Exporteer alle publicaties
- Exporteer auteur
SORTEER OP
- Auteur
- Titel
- Type/tijdschrift
- Jaar
- Toevoegdatum
SYSTEEM
- Help
- Over deze site
GASTGEBRUIKER
Guest
AANMELDEN
Naam:

wachtwoord:

Deutsch, English, Nederlands, Norsk, Português, <meer...>

Voornamen:	S.
Achternamen:	Ananiadou

| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-407 |

Zhang, T., Yang, K, Alhuzali, H., Liu, B en Ananiadou, S., PHQ-aware depressive symptoms identification with similarity contrastive learning on social media (2023), in: Information Processing & Management, 60:5(103417)

[DOI]
[URL]

Ji, S., Zhang, T., Yang, K en Ananiadou, S., Rethinking large language models in mental health applications, arXiv, 2023

[URL]

Zhang, T., Yang, K en Ananiadou, S., Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media, in: Proceedings of BioNLP 2023, pagina's 114–126, 2023

[URL]

Nguyen, N. T. H., Miwa, M. en Ananiadou, S., Span-based Named Entity Recognition by Generating and Compressing Information, in: Proceedings of EACL 2023, pagina's 1984–1996, 2023

[URL]

Yang, K, Ji, S., Zhang, T., Xie, Q., Kuang, Z. en Ananiadou, S., Towards Interpretable Mental Health Analysis with Large Language Models, in: Proceedings of EMNLP 2023, pagina's 6056–6077, 2023

[URL]

Yuan, C., Xie, Q. en Ananiadou, S., Zero-shot Temporal Relation Extraction with ChatGPT, in: Proceedings of BioNLP 2023, pagina's 92–102, 2023

[URL]

Alhuzali, H., Zhang, T. en Ananiadou, S., A comparative geolocation and text mining analysis of emotions and topics during the COVID-19 Pandemic in the UK (2022), in: Journal of Medical Internet Research

[DOI]

Yang, K, Zhang, T. en Ananiadou, S., A Mental State Knowledge-Aware and Contrastive Network for Early Stress and Depression Detection on Social Media (2022), in: Information Processing and Management, 59:4(102961)

[DOI]
[URL]

Schoene, A, Basinas, I., van Tongeren, M. en Ananiadou, S., A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome (2022), in: Int. J. Environ. Res. Public Health, 19:14(8544)

[DOI]
[URL]

Trieu, H-L., Miwa, M. en Ananiadou, S., BioVAE: a pre-trained latent variable language model for biomedical text mining (2022), 38:3(872-874)

[DOI]
[URL]

Schoene, A, Bojanic, L., Nghiem, M-. Q., Hunt, I. M. en Ananiadou, S., Classifying suicide-related content and emotions on Twitter using Graph Convolutional Neural Networks (2022), in: IEEE Transactions on Affective Computing(1-12)

[DOI]
[URL]

Espinosa, K., Georgiadis, P., Christopoulou, F., Ju., M., Miwa, M. en Ananiadou, S., Comparing neural models for nested and overlapping biomedical event detection (2022), in: BMC Bioinformatics, 23(211)

[DOI]
[URL]

Min, E., Rong, Y, Xu, T., Bian, Y., Zhao, P., Huang, J. en Ananiadou, S., Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media, in: Proceedings of The Web Conference 2022, pagina's 1148–1158, 2022

[URL]

Saha, T en Ananiadou, S., Emotion-aware and Intent-controlled Empathetic Response Generation using Hierarchical Transformer Network, in: Proceedings of IJCNN at 2022 IEEE World Congress on Computational Intelligence, pagina's 1-8, 2022

[DOI]
[URL]

Alhuzali, H., Zhang, T. en Ananiadou, S., Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis (2022), in: Journal of Medical Internet Research, 24:10(e40323)

[DOI]
[URL]

Odbal, G. Z. en Ananiadou, S., Examining and mitigating gender bias in text emotion detection task (2022), in: Neurocomputing, 493(422-434)

[DOI]
[URL]

Bishop, J., Xie, Q. en Ananiadou, S., GenCompareSum: a hybrid unsupervised summarization method using salience, in: Proceedings of BioNLP 2022, pagina's 220–240, 2022

[URL]

Xie, Q., Huang, J., Saha, T en Ananiadou, S., GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization, in: Proceedings of COLING, pagina's 6259–6269, 2022

[URL]

Liu, B, Schlegel, V., Batista-Navarro, R. en Ananiadou, S., Incorporating Zoning Information into Argument Mining from Biomedical Literature, in: Proceedings of LREC 2022, pagina's 6162-6169, 2022

[URL]

Inan, E., Thompson, P., Christopoulou, F., Yates, T. en Ananiadou, S., Knowledge Graph Enrichment of a Semantic Search System for Construction Safety, in: Intelligent Systems and Applications. IntelliSys 2022., pagina's 33-52, Springer, Cham, 2022

[DOI]
[URL]

Vasilakes, J., Zerva, C., Miwa, M. en Ananiadou, S., Learning Disentangled Representations of Negation and Uncertainty, in: Proceedings of ACL 2022, pagina's 8380–8397, 2022

[URL]

Trieu, H-L., Miwa, M. en Ananiadou, S., Named Entity Recognition for Cancer Immunology Research Using Distant Supervision, in: Proceedings of BioNLP 2022, pagina's 171-177, 2022

[URL]

Zhang, T., Schoene, A en Ananiadou, S., Natural Language Processing Applied to Mental Illness Detection: A Narrative Review (2022), in: n p j Digital Medicine, 5(46)

[DOI]
[URL]

Min, E., Rong, Y, Xu, T., Bian, Y., Zhao, P., Da, L., Lin, K., Ananiadou, S. en Huang, J., Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer, in: Proceedings of SIGIR 2022, pagina's 353-362, 2022

[DOI]
[URL]

Li, M. en Ananiadou, S., Neural Architectures for Aggregating Sequence Labels from Multiple Annotators (2022), in: Neurocomputing

[DOI]
[URL]

| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-407 |

Tijd voor verwerking: 0.1040 seconden.