Andrew Yates
Andrew Yates
Bestätigte E-Mail-Adresse bei uva.nl - Startseite
Titel
Zitiert von
Zitiert von
Jahr
CEDR: Contextualized Embeddings for Document Ranking
S MacAvaney, A Yates, A Cohan, N Goharian
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
1762019
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
K Popat, S Mukherjee, A Yates, G Weikum
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
1332018
PACRR: A Position-Aware Neural IR Model for Relevance Matching
K Hui, A Yates, K Berberich, G de Melo
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
125*2017
Depression and Self-Harm Risk Assessment in Online Forums
A Yates, A Cohan, N Goharian
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
1212017
ADRTrace: detecting expected and unexpected adverse drug reactions from user reviews on social media sites
A Yates, N Goharian
European Conference on Information Retrieval, 816-819, 2013
1172013
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval
K Hui, A Yates, K Berberich, G de Melo
Proceedings of the 11th ACM International Conference on Web Search and Data …, 2018
922018
A framework for detecting public health trends with Twitter
J Parker, Y Wei, A Yates, O Frieder, N Goharian
Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013
782013
Pretrained Transformers for Text Ranking: BERT and Beyond
J Lin, R Nogueira, A Yates
arXiv preprint arXiv:2010.06467, 2020
612020
Enhancing web search in the medical domain via query clarification
L Soldaini, A Yates, E Yom-Tov, O Frieder, N Goharian
Information Retrieval Journal 19 (1-2), 149-173, 2016
502016
Retrieving medical literature for clinical decision support
L Soldaini, A Cohan, A Yates, N Goharian, O Frieder
European Conference on Information Retrieval, 538-549, 2015
422015
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
C Li, Y Sun, B He, L Wang, K Hui, A Yates, L Sun, J Xu
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
392018
Are web user comments useful for search?
WG Yee, A Yates, S Liu, O Frieder
Proc. LSDS-IR, 2009, CEUR Workshop Proceedings 80, 63-70, 2009
392009
Extracting Adverse Drug Reactions from Social Media
A Yates, N Goharian, O Frieder
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
382015
Content-Based Weak Supervision for Ad-Hoc Re-Ranking
S MacAvaney, A Yates, K Hui, O Frieder
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
34*2019
PARADE: Passage Representation Aggregation for Document Reranking
C Li, A Yates, S MacAvaney, B He, Y Sun
arXiv preprint arXiv:2008.09093, 2020
332020
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions
A Cohan, B Desmet, A Yates, L Soldaini, S MacAvaney, N Goharian
Proceedings of the 27th International Conference on Computational …, 2018
332018
Triaging content severity in online mental health forums
A Cohan, S Young, A Yates, N Goharian
Journal of the Association for Information Science and Technology 68 (11 …, 2017
292017
Learning to reformulate long queries for clinical decision support
L Soldaini, A Yates, N Goharian
Journal of the Association for Information Science and Technology 68 (11 …, 2017
222017
STANCY: Stance Classification Based on Consistency Cues
K Popat, S Mukherjee, A Yates, G Weikum
2019 Conference on Empirical Methods in Natural Language Processing and the …, 2019
162019
Health-related hypothesis generation using social media data
J Parker, A Yates, N Goharian, O Frieder
Social Network Analysis and Mining 5 (1), 7, 2015
162015
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20