Andrew Yates

Orcid: 0000-0002-5970-880X

Affiliations:
  • University of Amsterdam, The Netherlands


According to our database1, Andrew Yates authored at least 115 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Contextualizing and Expanding Conversational Queries without Supervision.
ACM Trans. Inf. Syst., May, 2024

PARADE: Passage Representation Aggregation forDocument Reranking.
ACM Trans. Inf. Syst., March, 2024

Corpus-informed Retrieval Augmented Generation of Clarifying Questions.
CoRR, 2024

Meta-Task Prompting Elicits Embedding from Large Language Models.
CoRR, 2024

Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning.
CoRR, 2024

Multimodal Learned Sparse Retrieval for Image Suggestion.
CoRR, 2024

Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Distillation vs. Sampling for Efficient Training of Learning to Rank Models.
Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, 2024

Representational Isomorphism and Alignment of Multilingual Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Table Question Answering for Low-resourced Indic Languages.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Conversational Search with Tail Entities.
Proceedings of the Advances in Information Retrieval, 2024

A Study of Pre-processing Fairness Intervention Methods for Ranking People.
Proceedings of the Advances in Information Retrieval, 2024

Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control.
Proceedings of the Advances in Information Retrieval, 2024

Corpus-Steered Query Expansion with Large Language Models.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

STAR: Sparse Text Approach for Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

AnnoRank: A Comprehensive Web-Based Framework for Collecting Annotations and Assessing Rankings.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Meta-Task Prompting Elicits Embeddings from Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023.
SIGIR Forum, December, 2023

Who Will Purchase This Item Next? Reverse Next Period Recommendation in Grocery Shopping.
Trans. Recomm. Syst., June, 2023

Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval.
Trans. Mach. Learn. Res., 2023

Recommendations by Concise User Profiles from Review Text.
CoRR, 2023

Generative Retrieval as Dense Retrieval.
CoRR, 2023

Search-based Recommendation: the Case for Difficult Predictions.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Adapting Learned Sparse Retrieval for Long Documents.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Repetition and Exploration in Sequential Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Counterfactual Representations for Intersectional Fair Ranking in Recruitment.
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), 2023

MassiveClicks: A Massively-Parallel Framework for Efficient Click Models Training.
Proceedings of the Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28, 2023

A Unified Framework for Learned Sparse Retrieval.
Proceedings of the Advances in Information Retrieval, 2023

A Study of Term-Topic Embeddings for Ranking.
Proceedings of the Advances in Information Retrieval, 2023

MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
CEQE to SQET: A study of contextualized embeddings for query expansion.
Inf. Retr. J., 2022

Keep the Caption Information: Preventing Shortcut Learning in Contrastive Image-Caption Retrieval.
CoRR, 2022

ParClick: A Scalable Algorithm for EM-based Click Models.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Zero-shot Query Contextualization for Conversational Search.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking.
Proceedings of the Advances in Information Retrieval, 2022

Dense Retrieval with Entity Views.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Pretrained Transformers for Text Ranking: BERT and Beyond
Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers, ISBN: 978-3-031-02181-7, 2021

Contextualized query expansion via unsupervised chunk selection for text retrieval.
Inf. Process. Manag., 2021

Exploring Personal Knowledge Extraction from Conversations with CHARM.
Proceedings of the WSDM '21, 2021

Pretrained Transformers for Text Ranking: BERT and Beyond.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Simplified Data Wrangling with ir_datasets.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

DiffIR: Exploring Differences in Ranking Models' Behavior.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

PRIDE: Predicting Relationships in Conversations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Comparing Score Aggregation Approaches for Document Retrieval with Pretrained Transformers.
Proceedings of the Advances in Information Retrieval, 2021

You Get What You Chat: Using Conversations to Personalize Search-Based Recommendations.
Proceedings of the Advances in Information Retrieval, 2021

CEQE: Contextualized Embeddings for Query Expansion.
Proceedings of the Advances in Information Retrieval, 2021

Language Models As or For Knowledge Bases.
Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2021) co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021

2020
PARADE: Passage Representation Aggregation for Document Reranking.
CoRR, 2020

Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

MPII at the TREC 2020 Deep Learning Track.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

RedDust: a Large Reusable Dataset of Reddit User Traits.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

BERT-QE: Contextualized Query Expansion for Document Re-ranking.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

A Little Bit Is Worse Than None: Ranking with Limited Training Data.
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

CHARM: Inferring Personal Attributes from Conversations.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Flexible IR Pipelines with Capreolus.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Personalized Entity Search by Sparse and Scrutable User Profiles.
Proceedings of the CHIIR '20: Conference on Human Information Interaction and Retrieval, 2020

2019
Overcoming low-utility facets for complex answer retrieval.
Inf. Retr. J., 2019

Listening between the Lines: Learning Personal Attributes from Conversations.
Proceedings of the World Wide Web Conference, 2019

MPII at TREC CAsT 2019: Incoporating Query Context into a BERT Re-ranker.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

Content-Based Weak Supervision for Ad-Hoc Re-Ranking.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

CEDR: Contextualized Embeddings for Document Ranking.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Expert-sourcing Domain-specific Knowledge: The Case of Synonym Validation.
Proceedings of the Joint Proceedings of REFSQ-2019 Workshops, 2019

Using Multi-Sense Vector Embeddings for Reverse Dictionaries.
Proceedings of the 13th International Conference on Computational Semantics, 2019

STANCY: Stance Classification Based on Consistency Cues.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain.
Proceedings of the Advances in Information Retrieval, 2019

Investigating Retrieval Method Selection with Axiomatic Features.
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), 2019

2018
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

PACRR Gated Expansion for TREC CAR 2018.
Proceedings of the Twenty-Seventh Text REtrieval Conference, 2018

Characterizing Question Facets for Complex Answer Retrieval.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses.
Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, 2018

2017
Learning to reformulate long queries for clinical decision support.
J. Assoc. Inf. Sci. Technol., 2017

Triaging content severity in online mental health forums.
J. Assoc. Inf. Sci. Technol., 2017

DE-PACRR: Exploring Layers Inside the PACRR Model.
CoRR, 2017

An Approach for Weakly-Supervised Deep Information Retrieval.
CoRR, 2017

RE-PACRR: A Context and Density-Aware Neural Information Retrieval Model.
CoRR, 2017

A Position-Aware Deep Model for Relevance Matching in Information Retrieval.
CoRR, 2017

Position-Aware Representations for Relevance Matching in Neural Information Retrieval.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Contextualized PACRR for Complex Answer Retrieval.
Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

Depression and Self-Harm Risk Assessment in Online Forums.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

PACRR: A Position-Aware Neural IR Model for Relevance Matching.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Denoising Clinical Notes for Medical Literature Retrieval with Convolutional Neural Model.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Enhancing web search in the medical domain via query clarification.
Inf. Retr. J., 2016

Effects of Sampling on Twitter Trend Detection.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

The News Cycle's Influence on Social Media Activity.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Learning the Relationships between Drug, Symptom, and Medical Condition Mentions in Social Media.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

2015
Health-related hypothesis generation using social media data.
Soc. Netw. Anal. Min., 2015

Retrieving Medical Literature for Clinical Decision Support.
Proceedings of the Advances in Information Retrieval, 2015

Extracting Adverse Drug Reactions from Social Media.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Query Reformulation for Clinical Decision Support Search.
Proceedings of The Twenty-Third Text REtrieval Conference, 2014

A Framework for Public Health Surveillance.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

SuperPUF: integrating heterogeneous physically unclonable functions.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2014

Relevance-Ranked Domain-Specific Synonym Discovery.
Proceedings of the Advances in Information Retrieval, 2014

On clinical decision support.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
Graded relevance ranking for synonym discovery.
Proceedings of the 22nd International World Wide Web Conference, 2013

Social media communications networks and pharmacovigilance: SequelAE-2.0.
Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

ADRTrace: Detecting Expected and Unexpected Adverse Drug Reactions from User Reviews on Social Media Sites.
Proceedings of the Advances in Information Retrieval, 2013

A framework for detecting public health trends with Twitter.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Semi-supervised probabilistic sentiment analysis: Merging labeled sentences with unlabeled reviews to identify sentiment.
Proceedings of the Beyond the Cloud: Rethinking Information Boundaries, 2013

Validating web content with senser.
Proceedings of the Annual Computer Security Applications Conference, 2013

2012
(Not Too) Personalized Learning to Rank for Contextual Suggestion.
Proceedings of The Twenty-First Text REtrieval Conference, 2012

Efficient estimation of aspect weights.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

2010
eduKEN: a tool for fine-grained video comment collection and analysis.
Proceedings of the 19th International Conference on World Wide Web, 2010

2009
Are Web User Comments Useful for Search?
Proceedings of the 7th Workshop on Large-Scale Distributed Systems for Information Retrieval, 2009

2007
Reconstruction of cell population dynamics using CFSE.
BMC Bioinform., 2007

2001
An Approach to Modelling in Immunology.
Briefings Bioinform., 2001


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