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Andrew Yates
Andrew Yates
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Title
Cited by
Cited by
Year
Pretrained Transformers for Text Ranking: BERT and Beyond
J Lin, R Nogueira, A Yates
Synthesis Lectures on Human Language Technologies 14 (4), 1-325, 2021
4402021
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
3892019
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
3442018
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
3372017
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
1972017
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
1512018
PARADE: Passage Representation Aggregation forDocument Reranking
C Li, A Yates, S MacAvaney, B He, Y Sun
ACM Transactions on Information Systems 42 (2), 1-26, 2023
1472023
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
1442013
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
1362018
BERT-QE: Contextualized Query Expansion for Document Re-ranking
Z Zheng, K Hui, B He, X Han, L Sun, A Yates
Findings of EMNLP, 2020
902020
Simplified Data Wrangling with ir_datasets
S MacAvaney, A Yates, S Feldman, D Downey, A Cohan, N Goharian
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
862021
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
842013
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
722018
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
60*2019
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
572016
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
542017
CEQE: Contextualized Embeddings for Query Expansion
S Naseri, J Dalton, A Yates, J Allan
43rd European Conference on IR Research, 2021
532021
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
492019
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
442015
Extracting Adverse Drug Reactions from Social Media
A Yates, N Goharian, O Frieder
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
442015
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