Constructing Set-Compositional and Negated Representations for First-Stage Ranking - Antonios Minas Krasakis; Andrew Yates; Evangelos Kanoulas (CoRR, 2025)

Enhancing Lexicon-Based Text Embeddings with Large Language Models - Yibin Lei; Tao Shen; Yu Cao; Andrew Yates (CoRR, 2025)

Rank1: Test-Time Compute for Reranking in Information Retrieval - Orion Weller; Kathryn Ricci; Eugene Yang; Andrew Yates; Dawn J. Lawrie; Benjamin Van Durme (CoRR, 2025)

PARADE: Passage Representation Aggregation forDocument Reranking - Canjia Li; Andrew Yates; Sean MacAvaney; Ben He; Yingfei Sun (ACM Trans. Inf. Syst., 2024)

Contextualizing and Expanding Conversational Queries without Supervision - Antonios Minas Krasakis; Andrew Yates; Evangelos Kanoulas (ACM Trans. Inf. Syst., 2024)

Meta-Task Prompting Elicits Embeddings from Large Language Models - Yibin Lei; Di Wu; Tianyi Zhou; Tao Shen; Yu Cao; Chongyang Tao; Andrew Yates (Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024, 2024)

STAR: Sparse Text Approach for Recommendation - Anna Tigunova; Ghazaleh Haratinezhad Torbati; Andrew Yates; Gerhard Weikum (Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024, 2024)

AnnoRank: A Comprehensive Web-Based Framework for Collecting Annotations and Assessing Rankings - Clara Rus; Gabrielle Poerwawinata; Andrew Yates; Maarten de Rijke (Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024, 2024)

Corpus-Steered Query Expansion with Large Language Models - Yibin Lei; Yu Cao; Tianyi Zhou; Tao Shen; Andrew Yates (Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2024 - Volume 2: Short Papers, St. Julian's, Malta, March 17-22, 2024, 2024)

Conversational Search with Tail Entities - Hai Dang Tran; Andrew Yates; Gerhard Weikum (Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II, 2024)

A Study of Pre-processing Fairness Intervention Methods for Ranking People - Clara Rus; Andrew Yates; Maarten de Rijke (Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part IV, 2024)

Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control - Thong Nguyen; Mariya Hendriksen; Andrew Yates; Maarten de Rijke (Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II, 2024)

Table Question Answering for Low-resourced Indic Languages - Vaishali Pal; Evangelos Kanoulas; Andrew Yates; Maarten de Rijke (Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, 2024)

DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities - Thong Nguyen; Shubham Chatterjee; Sean MacAvaney; Iain Mackie; Jeff Dalton; Andrew Yates (Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, 2024)

Representational Isomorphism and Alignment of Multilingual Large Language Models - Di Wu; Yibin Lei; Andrew Yates; Christof Monz (Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, 2024)

Distillation vs. Sampling for Efficient Training of Learning to Rank Models - Pooya Khandel; Andrew Yates; Ana Lucia Varbanescu; Maarten de Rijke; Andy D. Pimentel (Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2024, Washington, DC, USA, 13 July 2024, 2024)

Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting - Thilina Chaturanga Rajapakse; Andrew Yates; Maarten de Rijke (Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, 2024)

Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? - Ming Li; Yuanna Liu; Sami Jullien; Mozhdeh Ariannezhad; Andrew Yates; Mohammad Aliannejadi; Maarten de Rijke (Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, 2024)

Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information Retrieval - Gabriel Bénédict; Ruqing Zhang; Donald Metzler; Andrew Yates; Ziyan Jiang (Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, 2024)

Simple Transformers: Open-source for All - Thilina Chaturanga Rajapakse; Andrew Yates; Maarten de Rijke (Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2024, Tokyo, Japan, December 9-12, 2024, 2024)

Neural Lexical Search with Learned Sparse Retrieval - Andrew Yates; Carlos Lassance; Sean MacAvaney; Thong Nguyen; Yibin Lei (Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2024, Tokyo, Japan, December 9-12, 2024, 2024)

Multimodal Learned Sparse Retrieval for Image Suggestion - Thong Nguyen; Mariya Hendriksen; Andrew Yates (CoRR, 2024)

Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning - Maurits J. R. Bleeker; Mariya Hendriksen; Andrew Yates; Maarten de Rijke (CoRR, 2024)

Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control - Thong Nguyen; Mariya Hendriksen; Andrew Yates; Maarten de Rijke (CoRR, 2024)

Corpus-Steered Query Expansion with Large Language Models - Yibin Lei; Yu Cao; Tianyi Zhou; Tao Shen; Andrew Yates (CoRR, 2024)

Meta-Task Prompting Elicits Embedding from Large Language Models - Yibin Lei; Di Wu; Tianyi Zhou; Tao Shen; Yu Cao; Chongyang Tao; Andrew Yates (CoRR, 2024)

Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? - Ming Li; Yuanna Liu; Sami Jullien; Mozhdeh Ariannezhad; Mohammad Aliannejadi; Andrew Yates; Maarten de Rijke (CoRR, 2024)

Corpus-informed Retrieval Augmented Generation of Clarifying Questions - Antonios Minas Krasakis; Andrew Yates; Evangelos Kanoulas (CoRR, 2024)

Table Question Answering for Low-resourced Indic Languages - Vaishali Pal; Evangelos Kanoulas; Andrew Yates; Maarten de Rijke (CoRR, 2024)

DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities - Thong Nguyen; Shubham Chatterjee; Sean MacAvaney; Iain Mackie; Jeff Dalton; Andrew Yates (CoRR, 2024)

Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023 - Gabriel Bénédict; Ruqing Zhang; Donald Metzler; Andrew Yates; Romain Deffayet; Philipp Hager; Sami Jullien (SIGIR Forum, 2023)

Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval - Maurits J. R. Bleeker; Andrew Yates; Maarten de Rijke (Trans. Mach. Learn. Res., 2023)

Who Will Purchase This Item Next? Reverse Next Period Recommendation in Grocery Shopping - Ming Li; Mozhdeh Ariannezhad; Andrew Yates; Maarten de Rijke (Trans. Recomm. Syst., 2023)

MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering - Vaishali Pal; Andrew Yates; Evangelos Kanoulas; Maarten de Rijke (Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023, 2023)

Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training - Yibin Lei; Liang Ding; Yu Cao; Changtong Zan; Andrew Yates; Dacheng Tao (Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023, 2023)

A Unified Framework for Learned Sparse Retrieval - Thong Nguyen; Sean MacAvaney; Andrew Yates (Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part III, 2023)

A Study of Term-Topic Embeddings for Ranking - Lila Boualili; Andrew Yates (Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part II, 2023)

MassiveClicks: A Massively-Parallel Framework for Efficient Click Models Training - Skip Thijssen; Pooya Khandel; Andrew Yates; Ana Lucia Varbanescu (Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 - September 1, 2023, Revised Selected Papers, Part I, 2023)

Counterfactual Representations for Intersectional Fair Ranking in Recruitment - Clara Rus; Maarten de Rijke; Andrew Yates (Proceedings of the 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, Singapore, 18th-22nd September 2023, 2023)

Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping - Ming Li; Mozhdeh Ariannezhad; Andrew Yates; Maarten de Rijke (Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023, 2023)

Adapting Learned Sparse Retrieval for Long Documents - Thong Nguyen; Sean MacAvaney; Andrew Yates (Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023, 2023)

Repetition and Exploration in Sequential Recommendation - Ming Li; Ali Vardasbi; Andrew Yates; Maarten de Rijke (Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023, 2023)

Multimodal Learned Sparse Retrieval for Image Suggestion Task - Thong Nguyen; Mariya Hendriksen; Andrew Yates (The Thirty-Second Text REtrieval Conference Proceedings (TREC 2023), Gaithersburg, MD, USA, November 14-17, 2023, 2023)

Search-based Recommendation: the Case for Difficult Predictions - Ghazaleh Haratinezhad Torbati; Gerhard Weikum; Andrew Yates (Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023, 2023)

A Unified Framework for Learned Sparse Retrieval - Thong Nguyen; Sean MacAvaney; Andrew Yates (CoRR, 2023)

MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering - Vaishali Pal; Andrew Yates; Evangelos Kanoulas; Maarten de Rijke (CoRR, 2023)

Adapting Learned Sparse Retrieval for Long Documents - Thong Nguyen; Sean MacAvaney; Andrew Yates (CoRR, 2023)

Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training - Yibin Lei; Liang Ding; Yu Cao; Changtong Zan; Andrew Yates; Dacheng Tao (CoRR, 2023)

Generative Retrieval as Dense Retrieval - Thong Nguyen; Andrew Yates (CoRR, 2023)

Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping - Ming Li; Mozhdeh Ariannezhad; Andrew Yates; Maarten de Rijke (CoRR, 2023)

Expert-sourcing Domain-specific Knowledge: The Case of Synonym Validation - Michael Unterkalmsteiner; Andrew Yates (CoRR, 2023)

Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain - Andrew Yates; Michael Unterkalmsteiner (CoRR, 2023)

Recommendations by Concise User Profiles from Review Text - Ghazaleh Haratinezhad Torbati; Anna Tigunova; Andrew Yates; Gerhard Weikum (CoRR, 2023)

CEQE to SQET: A study of contextualized embeddings for query expansion - Shahrzad Naseri; Jeffrey Dalton; Andrew Yates; James Allan (Inf. Retr. J., 2022)

Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires - Thong Nguyen; Andrew Yates; Ayah Zirikly; Bart Desmet; Arman Cohan (Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022, 2022)

Dense Retrieval with Entity Views - Hai Dang Tran; Andrew Yates (Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, 2022)

Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking - Ronak Pradeep; Yuqi Liu; Xinyu Zhang; Yilin Li; Andrew Yates; Jimmy Lin (Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part I, 2022)

Zero-shot Query Contextualization for Conversational Search - Antonios Minas Krasakis; Andrew Yates; Evangelos Kanoulas (SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, 2022)

ParClick: A Scalable Algorithm for EM-based Click Models - Pooya Khandel; Ilya Markov; Andrew Yates; Ana Lucia Varbanescu (WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, 2022)

Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires - Thong Nguyen; Andrew Yates; Ayah Zirikly; Bart Desmet; Arman Cohan (CoRR, 2022)

Zero-shot Query Contextualization for Conversational Search - Antonios Minas Krasakis; Andrew Yates; Evangelos Kanoulas (CoRR, 2022)

Keep the Caption Information: Preventing Shortcut Learning in Contrastive Image-Caption Retrieval - Maurits J. R. Bleeker; Andrew Yates; Maarten de Rijke (CoRR, 2022)

Pretrained Transformers for Text Ranking: BERT and Beyond - Jimmy Lin; Rodrigo Nogueira; Andrew Yates (Morgan & Claypool Publishers, 2021)

Contextualized query expansion via unsupervised chunk selection for text retrieval - Zhi Zheng; Kai Hui; Ben He; Xianpei Han; Le Sun; Andrew Yates (Inf. Process. Manag., 2021)

Language Models As or For Knowledge Bases - Simon Razniewski; Andrew Yates; Nora Kassner; Gerhard Weikum (Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2021) co-located with the 20th International Semantic Web Conference (ISWC 2021), Virtual Conference, online, October 25, 2021, 2021)

Comparing Score Aggregation Approaches for Document Retrieval with Pretrained Transformers - Xinyu Zhang; Andrew Yates; Jimmy Lin (Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part II, 2021)

You Get What You Chat: Using Conversations to Personalize Search-Based Recommendations - Ghazaleh H. Torbati; Andrew Yates; Gerhard Weikum (Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I, 2021)

CEQE: Contextualized Embeddings for Query Expansion - Shahrzad Naseri; Jeff Dalton; Andrew Yates; James Allan (Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I, 2021)

PRIDE: Predicting Relationships in Conversations - Anna Tigunova; Paramita Mirza; Andrew Yates; Gerhard Weikum (Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, 2021)

How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset - Iain Mackie; Jeffrey Dalton; Andrew Yates (SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, 2021)

Simplified Data Wrangling with ir_datasets - Sean MacAvaney; Andrew Yates; Sergey Feldman; Doug Downey; Arman Cohan; Nazli Goharian (SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, 2021)

DiffIR: Exploring Differences in Ranking Models' Behavior - Kevin Martin Jose; Thong Nguyen; Sean MacAvaney; Jeffrey Dalton; Andrew Yates (SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, 2021)

Pretrained Transformers for Text Ranking: BERT and Beyond - Andrew Yates; Rodrigo Nogueira; Jimmy Lin (SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, 2021)

Exploring Personal Knowledge Extraction from Conversations with CHARM - Anna Tigunova; Paramita Mirza; Andrew Yates; Gerhard Weikum (WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021, 2021)

Pretrained Transformers for Text Ranking: BERT and Beyond - Andrew Yates; Rodrigo Nogueira; Jimmy Lin (WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021, 2021)

Simplified Data Wrangling with ir_datasets - Sean MacAvaney; Andrew Yates; Sergey Feldman; Doug Downey; Arman Cohan; Nazli Goharian (CoRR, 2021)

CEQE: Contextualized Embeddings for Query Expansion - Shahrzad Naseri; Jeffrey Dalton; Andrew Yates; James Allan (CoRR, 2021)

How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset - Iain Mackie; Jeff Dalton; Andrew Yates (CoRR, 2021)

Personalized Entity Search by Sparse and Scrutable User Profiles - Ghazaleh Haratinezhad Torbati; Andrew Yates; Gerhard Weikum (CoRR, 2021)

You Get What You Chat: Using Conversations to Personalize Search-based Recommendations - Ghazaleh Haratinezhad Torbati; Andrew Yates; Gerhard Weikum (CoRR, 2021)

Language Models As or For Knowledge Bases - Simon Razniewski; Andrew Yates; Nora Kassner; Gerhard Weikum (CoRR, 2021)

Personalized Entity Search by Sparse and Scrutable User Profiles - Ghazaleh H. Torbati; Andrew Yates; Gerhard Weikum (CHIIR '20: Conference on Human Information Interaction and Retrieval, Vancouver, BC, Canada, March 14-18, 2020, 2020)

Flexible IR Pipelines with Capreolus - Andrew Yates; Kevin Martin Jose; Xinyu Zhang; Jimmy Lin (CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, 2020)

A Little Bit Is Worse Than None: Ranking with Limited Training Data - Xinyu Zhang; Andrew Yates; Jimmy Lin (Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, SustaiNLP@EMNLP 2020, Online, November 20, 2020, 2020)

BERT-QE: Contextualized Query Expansion for Document Re-ranking - Zhi Zheng; Kai Hui; Ben He; Xianpei Han; Le Sun; Andrew Yates (Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16-20 November 2020, 2020)

CHARM: Inferring Personal Attributes from Conversations - Anna Tigunova; Andrew Yates; Paramita Mirza; Gerhard Weikum (Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020, 2020)

RedDust: a Large Reusable Dataset of Reddit User Traits - Anna Tigunova; Paramita Mirza; Andrew Yates; Gerhard Weikum (Proceedings of The 12th Language Resources and Evaluation Conference, LREC 2020, Marseille, France, May 11-16, 2020, 2020)

MPII at the TREC 2020 Deep Learning Track - Canjia Li; Andrew Yates (Proceedings of the Twenty-Ninth Text REtrieval Conference, TREC 2020, Virtual Event [Gaithersburg, Maryland, USA], November 16-20, 2020, 2020)

Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval - Andrew Yates; Siddhant Arora; Xinyu Zhang; Wei Yang; Kevin Martin Jose; Jimmy Lin (WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020, 2020)

PARADE: Passage Representation Aggregation for Document Reranking - Canjia Li; Andrew Yates; Sean MacAvaney; Ben He; Yingfei Sun (CoRR, 2020)

BERT-QE: Contextualized Query Expansion for Document Re-ranking - Zhi Zheng; Kai Hui; Ben He; Xianpei Han; Le Sun; Andrew Yates (CoRR, 2020)

Pretrained Transformers for Text Ranking: BERT and Beyond - Jimmy Lin; Rodrigo Nogueira; Andrew Yates (CoRR, 2020)

Overcoming low-utility facets for complex answer retrieval - Sean MacAvaney; Andrew Yates; Arman Cohan; Luca Soldaini; Kai Hui; Nazli Goharian; Ophir Frieder (Inf. Retr. J., 2019)

Investigating Retrieval Method Selection with Axiomatic Features - Siddhant Arora; Andrew Yates (Proceedings of the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval co-located with the 41st European Conference on Information Retrieval (ECIR 2019), Cologne, Germany, April 14, 2019, 2019)

Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain - Andrew Yates; Michael Unterkalmsteiner (Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I, 2019)

STANCY: Stance Classification Based on Consistency Cues - Kashyap Popat; Subhabrata Mukherjee; Andrew Yates; Gerhard Weikum (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, 2019)

Using Multi-Sense Vector Embeddings for Reverse Dictionaries - Michael A. Hedderich; Andrew Yates; Dietrich Klakow; Gerard de Melo (Proceedings of the 13th International Conference on Computational Semantics, IWCS 2019, Long Papers, Gothenburg, Sweden, May 23-27 May, 2019, 2019)

Expert-sourcing Domain-specific Knowledge: The Case of Synonym Validation - Michael Unterkalmsteiner; Andrew Yates (Joint Proceedings of REFSQ-2019 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 25th International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2019), Essen, Germany, March 18th, 2019, 2019)

Content-Based Weak Supervision for Ad-Hoc Re-Ranking - Sean MacAvaney; Andrew Yates; Kai Hui; Ophir Frieder (Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019, 2019)

CEDR: Contextualized Embeddings for Document Ranking - Sean MacAvaney; Andrew Yates; Arman Cohan; Nazli Goharian (Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019, 2019)

MPII at TREC CAsT 2019: Incoporating Query Context into a BERT Re-ranker - Samarth Mehrotra; Andrew Yates (Proceedings of the Twenty-Eighth Text REtrieval Conference, TREC 2019, Gaithersburg, Maryland, USA, November 13-15, 2019, 2019)

Listening between the Lines: Learning Personal Attributes from Conversations - Anna Tigunova; Andrew Yates; Paramita Mirza; Gerhard Weikum (The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019, 2019)

Using Multi-Sense Vector Embeddings for Reverse Dictionaries - Michael A. Hedderich; Andrew Yates; Dietrich Klakow; Gerard de Melo (CoRR, 2019)

Investigating Retrieval Method Selection with Axiomatic Features - Siddhant Arora; Andrew Yates (CoRR, 2019)

CEDR: Contextualized Embeddings for Document Ranking - Sean MacAvaney; Andrew Yates; Arman Cohan; Nazli Goharian (CoRR, 2019)

Listening between the Lines: Learning Personal Attributes from Conversations - Anna Tigunova; Andrew Yates; Paramita Mirza; Gerhard Weikum (CoRR, 2019)

STANCY: Stance Classification Based on Consistency Cues - Kashyap Popat; Subhabrata Mukherjee; Andrew Yates; Gerhard Weikum (CoRR, 2019)

RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses - Sean MacAvaney; Bart Desmet; Arman Cohan; Luca Soldaini; Andrew Yates; Ayah Zirikly; Nazli Goharian (Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, CLPsych@NAACL-HTL, New Orleans, LA, USA, June 2018, 2018)

SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions - Arman Cohan; Bart Desmet; Andrew Yates; Luca Soldaini; Sean MacAvaney; Nazli Goharian (Proceedings of the 27th International Conference on Computational Linguistics, COLING 2018, Santa Fe, New Mexico, USA, August 20-26, 2018, 2018)

DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning - Kashyap Popat; Subhabrata Mukherjee; Andrew Yates; Gerhard Weikum (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, 2018)

NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval - Canjia Li; Yingfei Sun; Ben He; Le Wang; Kai Hui; Andrew Yates; Le Sun; Jungang Xu (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, 2018)

Overcoming Low-Utility Facets for Complex Answer Retrieval - Sean MacAvaney; Andrew Yates; Arman Cohan; Luca Soldaini; Kai Hui; Nazli Goharian; Ophir Frieder (Joint Proceedings of the First International Workshop on Professional Search (ProfS2018); the Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR); and the International Workshop on Data Search (DATA:SEARCH'18) Co-located with (ACM SIGIR 2018), Ann Arbor, Michigan, USA, July 12, 2018, 2018)

Characterizing Question Facets for Complex Answer Retrieval - Sean MacAvaney; Andrew Yates; Arman Cohan; Luca Soldaini; Kai Hui; Nazli Goharian; Ophir Frieder (The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018, 2018)

PACRR Gated Expansion for TREC CAR 2018 - Sean MacAvaney; Nazli Goharian; Ophir Frieder; Andrew Yates (Proceedings of the Twenty-Seventh Text REtrieval Conference, TREC 2018, Gaithersburg, Maryland, USA, November 14-16, 2018, 2018)

Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval - Kai Hui; Andrew Yates; Klaus Berberich; Gerard de Melo (Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018, 2018)

Characterizing Question Facets for Complex Answer Retrieval - Sean MacAvaney; Andrew Yates; Arman Cohan; Luca Soldaini; Kai Hui; Nazli Goharian; Ophir Frieder (CoRR, 2018)

SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions - Arman Cohan; Bart Desmet; Andrew Yates; Luca Soldaini; Sean MacAvaney; Nazli Goharian (CoRR, 2018)

RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses - Sean MacAvaney; Bart Desmet; Arman Cohan; Luca Soldaini; Andrew Yates; Ayah Zirikly; Nazli Goharian (CoRR, 2018)

DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning - Kashyap Popat; Subhabrata Mukherjee; Andrew Yates; Gerhard Weikum (CoRR, 2018)

NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval - Canjia Li; Yingfei Sun; Ben He; Le Wang; Kai Hui; Andrew Yates; Le Sun; Jungang Xu (CoRR, 2018)

Overcoming low-utility facets for complex answer retrieval - Sean MacAvaney; Andrew Yates; Arman Cohan; Luca Soldaini; Kai Hui; Nazli Goharian; Ophir Frieder (CoRR, 2018)

Learning to reformulate long queries for clinical decision support - Luca Soldaini; Andrew Yates; Nazli Goharian (J. Assoc. Inf. Sci. Technol., 2017)

Triaging content severity in online mental health forums - Arman Cohan; Sydney Young; Andrew Yates; Nazli Goharian (J. Assoc. Inf. Sci. Technol., 2017)

Denoising Clinical Notes for Medical Literature Retrieval with Convolutional Neural Model - Luca Soldaini; Andrew Yates; Nazli Goharian (Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017, 2017)

PACRR: A Position-Aware Neural IR Model for Relevance Matching - Kai Hui; Andrew Yates; Klaus Berberich; Gerard de Melo (Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017, 2017)

Depression and Self-Harm Risk Assessment in Online Forums - Andrew Yates; Arman Cohan; Nazli Goharian (Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017, 2017)

Contextualized PACRR for Complex Answer Retrieval - Sean MacAvaney; Andrew Yates; Kai Hui (Proceedings of The Twenty-Sixth Text REtrieval Conference, TREC 2017, Gaithersburg, Maryland, USA, November 15-17, 2017, 2017)

Position-Aware Representations for Relevance Matching in Neural Information Retrieval - Kai Hui; Andrew Yates; Klaus Berberich; Gerard de Melo (Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017, 2017)

Triaging Content Severity in Online Mental Health Forums - Arman Cohan; Sydney Young; Andrew Yates; Nazli Goharian (CoRR, 2017)

A Position-Aware Deep Model for Relevance Matching in Information Retrieval - Kai Hui; Andrew Yates; Klaus Berberich; Gerard de Melo (CoRR, 2017)

DE-PACRR: Exploring Layers Inside the PACRR Model - Andrew Yates; Kai Hui (CoRR, 2017)

RE-PACRR: A Context and Density-Aware Neural Information Retrieval Model - Kai Hui; Andrew Yates; Klaus Berberich; Gerard de Melo (CoRR, 2017)

An Approach for Weakly-Supervised Deep Information Retrieval - Sean MacAvaney; Kai Hui; Andrew Yates (CoRR, 2017)

Depression and Self-Harm Risk Assessment in Online Forums - Andrew Yates; Arman Cohan; Nazli Goharian (CoRR, 2017)

Enhancing web search in the medical domain via query clarification - Luca Soldaini; Andrew Yates; Elad Yom-Tov; Ophir Frieder; Nazli Goharian (Inf. Retr. J., 2016)

The News Cycle's Influence on Social Media Activity - Andrew Yates; Jonah Joselow; Nazli Goharian (Proceedings of the Tenth International Conference on Web and Social Media, Cologne, Germany, May 17-20, 2016, 2016)

Learning the Relationships between Drug, Symptom, and Medical Condition Mentions in Social Media - Andrew Yates; Nazli Goharian; Ophir Frieder (Proceedings of the Tenth International Conference on Web and Social Media, Cologne, Germany, May 17-20, 2016, 2016)

Effects of Sampling on Twitter Trend Detection - Andrew Yates; Alek Kolcz; Nazli Goharian; Ophir Frieder (Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, Portorož, Slovenia, May 23-28, 2016, 2016)

Health-related hypothesis generation using social media data - Jon Parker; Andrew Yates; Nazli Goharian; Ophir Frieder (Soc. Netw. Anal. Min., 2015)

Extracting Adverse Drug Reactions from Social Media - Andrew Yates; Nazli Goharian; Ophir Frieder (Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA, 2015)

Retrieving Medical Literature for Clinical Decision Support - Luca Soldaini; Arman Cohan; Andrew Yates; Nazli Goharian; Ophir Frieder (Advances in Information Retrieval - 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings, 2015)

On clinical decision support - Arman Cohan; Luca Soldaini; Andrew Yates; Nazli Goharian; Ophir Frieder (Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB '14, Newport Beach, California, USA, September 20-23, 2014, 2014)

Relevance-Ranked Domain-Specific Synonym Discovery - Andrew Yates; Nazli Goharian; Ophir Frieder (Advances in Information Retrieval - 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings, 2014)

SuperPUF: integrating heterogeneous physically unclonable functions - Michael Wang; Andrew Yates; Igor L. Markov (The IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2014, San Jose, CA, USA, November 3-6, 2014, 2014)

A Framework for Public Health Surveillance - Andrew Yates; Jon Parker; Nazli Goharian; Ophir Frieder (Proceedings of the Ninth International Conference on Language Resources and Evaluation, LREC 2014, Reykjavik, Iceland, May 26-31, 2014, 2014)

Query Reformulation for Clinical Decision Support Search - Luca Soldaini; Arman Cohan; Andrew Yates; Nazli Goharian; Ophir Frieder (Proceedings of The Twenty-Third Text REtrieval Conference, TREC 2014, Gaithersburg, Maryland, USA, November 19-21, 2014, 2014)

Validating web content with senser - Jordan Wilberding; Andrew Yates; Micah Sherr; Wenchao Zhou (Annual Computer Security Applications Conference, ACSAC '13, New Orleans, LA, USA, December 9-13, 2013, 2013)

Semi-supervised probabilistic sentiment analysis: Merging labeled sentences with unlabeled reviews to identify sentiment - Andrew Yates; Nazli Goharian; Wai Gen Yee (Beyond the Cloud: Rethinking Information Boundaries - Proceedings of the 76th ASIS&T Annual Meeting, ASIST 2013, Montreal, Canada, November 1-5, 2013, 2013)

A framework for detecting public health trends with Twitter - Jon Parker; Yifang Wei; Andrew Yates; Ophir Frieder; Nazli Goharian (Advances in Social Networks Analysis and Mining 2013, ASONAM '13, Niagara, ON, Canada - August 25 - 29, 2013, 2013)

ADRTrace: Detecting Expected and Unexpected Adverse Drug Reactions from User Reviews on Social Media Sites - Andrew Yates; Nazli Goharian (Advances in Information Retrieval - 35th European Conference on IR Research, ECIR 2013, Moscow, Russia, March 24-27, 2013. Proceedings, 2013)

Social media communications networks and pharmacovigilance: SequelAE-2.0 - Eric William Burger; Howard J. Federoff; Massimo S. Fiandaca; Ophir Frieder; Nazli Goharian; Andrew Yates (IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013, Lisbon, Portugal, October 9-12, 2013, 2013)

Graded relevance ranking for synonym discovery - Andrew Yates; Nazli Goharian; Ophir Frieder (22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013, Companion Volume, 2013)

Efficient estimation of aspect weights - Jon Parker; Andrew Yates; Nazli Goharian; Wai Gen Yee (The 35th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR '12, Portland, OR, USA, August 12-16, 2012, 2012)

(Not Too) Personalized Learning to Rank for Contextual Suggestion - Andrew Yates; Dave DeBoer; Hui Yang; Nazli Goharian; Steve Kunath; Ophir Frieder (Proceedings of The Twenty-First Text REtrieval Conference, TREC 2012, Gaithersburg, Maryland, USA, November 6-9, 2012, 2012)

eduKEN: a tool for fine-grained video comment collection and analysis - Wai Gen Yee; Andrew Yates; Ophir Frieder; Armin Moehrle (Proceedings of the 19th International Conference on World Wide Web, WWW 2010, Raleigh, North Carolina, USA, April 26-30, 2010, 2010)

Are Web User Comments Useful for Search? - Wai Gen Yee; Andrew Yates; Shizhu Liu; Ophir Frieder (Proceedings of the 7th Workshop on Large-Scale Distributed Systems for Information Retrieval, co-located with ACM SIGIR 2009, LSDS-IR@SIGIR 2009, Boston, USA, July 23, 2009, 2009)

Reconstruction of cell population dynamics using CFSE - Andrew Yates; Cliburn Chan; Jessica Strid; Simon Moon; Robin Callard; Andrew J. T. George; Jaroslav Stark (BMC Bioinform., 2007)

An Approach to Modelling in Immunology - Andrew Yates; C. C. W. Chan; R. E. Callard; Andrew J. T. George; Jaroslav Stark (Briefings Bioinform., 2001)