Nick Craswell

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 116

Top Venues

Publications

Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. WWW (Companion Volume) (2024)
Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos
Synthetic Test Collections for Retrieval Evaluation. SIGIR (2024)
Paul Thomas, Gabriella Kazai, Nick Craswell, Seth Spielman
What Matters in a Measure? A Perspective from Large-Scale Search Evaluation. SIGIR (2024)
Haolun Wu, Bhaskar Mitra, Nick Craswell
Towards Group-aware Search Success. ICTIR (2024)
Ronak Pradeep, Nandan Thakur, Sahel Sharifymoghaddam, Eric Zhang, Ryan Nguyen, Daniel Campos, Nick Craswell, Jimmy Lin
Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track. CoRR (2024)
Shivani Upadhyay, Ronak Pradeep, Nandan Thakur, Nick Craswell, Jimmy Lin
UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor. CoRR (2024)
Haolun Wu, Bhaskar Mitra, Nick Craswell
Towards Group-aware Search Success. CoRR (2024)
Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
LLM4Eval: Large Language Model for Evaluation in IR. SIGIR (2024)
Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos
Synthetic Test Collections for Retrieval Evaluation. CoRR (2024)
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels. CoRR (2024)
Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra
Large Language Models can Accurately Predict Searcher Preferences. SIGIR (2024)
Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra
Large language models can accurately predict searcher preferences. CoRR (2023)
Zhenduo Wang, Yuancheng Tu, Corby Rosset, Nick Craswell, Ming Wu, Qingyao Ai
Zero-shot Clarifying Question Generation for Conversational Search. CoRR (2023)
Ali Montazeralghaem, Nick Craswell, Ryen W. White, Ahmed Hassan Awadallah, Byungki Byun
Algorithmic Vibe in Information Retrieval. WWW (2023)
Zhenduo Wang, Yuancheng Tu, Corby Rosset, Nick Craswell, Ming Wu, Qingyao Ai
Zero-shot Clarifying Question Generation for Conversational Search. WWW (2023)
Amifa Raj, Bhaskar Mitra, Nick Craswell, Michael D. Ekstrand
Patterns of Gender-Specializing Query Reformulation. SIGIR (2023)
Amifa Raj, Bhaskar Mitra, Nick Craswell, Michael D. Ekstrand
Patterns of gender-specializing query reformulation. CoRR (2023)
Paul Thomas, Gabriella Kazai, Ryen White, Nick Craswell
The Crowd is Made of People: Observations from Large-Scale Crowd Labelling. CHIIR (2022)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff
Overview of the TREC 2022 Deep Learning Track. TREC (2022)
Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz
Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards. SIGIR (2022)
Xinyi Yan, Chengxi Luo, Charles L. A. Clarke, Nick Craswell, Ellen M. Voorhees, Pablo Castells
Human Preferences as Dueling Bandits. CoRR (2022)
Gabriella Kazai, Bhaskar Mitra, Anlei Dong, Nick Craswell, Linjun Yang
Less is Less: When Are Snippets Insufficient for Human vs Machine Relevance Estimation? CoRR (2022)
Gabriella Kazai, Bhaskar Mitra, Anlei Dong, Nick Craswell, Linjun Yang
Less is Less: When are Snippets Insufficient for Human vs Machine Relevance Estimation? ECIR (2) (2022)
Ellen M. Voorhees, Nick Craswell, Jimmy Lin
Too Many Relevants: Whither Cranfield Test Collections? SIGIR (2022)
Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell
Neural Approaches to Conversational Information Retrieval. CoRR (2022)
Sebastian Hofstätter, Nick Craswell, Bhaskar Mitra, Hamed Zamani, Allan Hanbury
Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems. CoRR (2022)
Xinyi Yan, Chengxi Luo, Charles L. A. Clarke, Nick Craswell, Ellen M. Voorhees, Pablo Castells
Human Preferences as Dueling Bandits. SIGIR (2022)
Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. CoRR (2021)
Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. CoRR (2021)
Damiano Spina, Johanne R. Trippas, Paul Thomas, Hideo Joho, Katriina Byström, Leigh Clark, Nick Craswell, Mary Czerwinski, David Elsweiler, Alexander Frummet, Souvick Ghosh, Johannes Kiesel, Irene Lopatovska, Daniel McDuff, Selina Meyer, Ahmed Mourad, Paul Owoicho, Sachin Pathiyan Cherumanal, Daniel Russell, Laurianne Sitbon
Report on the future conversations workshop at CHIIR 2021. SIGIR Forum 55 (1) (2021)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. SIGIR (2021)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos
Overview of the TREC 2020 deep learning track. CoRR (2021)
Daniel McDuff, Paul Thomas, Nick Craswell, Kael Rowan, Mary Czerwinski
Do Affective Cues Validate Behavioural Metrics for Search? SIGIR (2021)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. SIGIR (2021)
Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. SIGIR (2021)
Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. CoRR (2021)
Mohammad Aliannejadi, Leif Azzopardi, Hamed Zamani, Evangelos Kanoulas, Paul Thomas, Nick Craswell
Analysing Mixed Initiatives and Search Strategies during Conversational Search. CIKM (2021)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. CoRR (2021)
Alex Okeson, Rich Caruana, Nick Craswell, Kori Inkpen, Scott M. Lundberg, Harsha Nori, Hanna M. Wallach, Jennifer Wortman Vaughan
Summarize with Caution: Comparing Global Feature Attributions. IEEE Data Eng. Bull. 44 (4) (2021)
Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. SIGIR (2021)
Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. SIGIR (2021)
Paul Thomas, Mary Czerwinksi, Daniel McDuff, Nick Craswell
Theories of Conversation for Conversational IR. ACM Trans. Inf. Syst. 39 (4) (2021)
Mohammad Aliannejadi, Leif Azzopardi, Hamed Zamani, Evangelos Kanoulas, Paul Thomas, Nick Craswell
Analysing Mixed Initiatives and Search Strategies during Conversational Search. CoRR (2021)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. CoRR (2021)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin
Overview of the TREC 2021 Deep Learning Track. TREC (2021)
Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck
ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search. CIKM (2020)
Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos
On the Reliability of Test Collections for Evaluating Systems of Different Types. CoRR (2020)
Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
Conformer-Kernel with Query Term Independence for Document Retrieval. CoRR (2020)
Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos
On the Reliability of Test Collections for Evaluating Systems of Different Types. SIGIR (2020)
Hamed Zamani, Gord Lueck, Everest Chen, Rodolfo Quispe, Flint Luu, Nick Craswell
MIMICS: A Large-Scale Data Collection for Search Clarification. CIKM (2020)
Paul Thomas, Daniel J. McDuff, Mary Czerwinski, Nick Craswell
Expressions of Style in Information Seeking Conversation with an Agent. SIGIR (2020)
Hamed Zamani, Nick Craswell
Macaw: An Extensible Conversational Information Seeking Platform. SIGIR (2020)
Hamed Zamani, Gord Lueck, Everest Chen, Rodolfo Quispe, Flint Luu, Nick Craswell
MIMICS: A Large-Scale Data Collection for Search Clarification. CoRR (2020)
Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. TREC (2020)
Corbin Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul N. Bennett
Leading Conversational Search by Suggesting Useful Questions. WWW (2020)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos
Overview of the TREC 2020 Deep Learning Track. TREC (2020)
Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury
Local Self-Attention over Long Text for Efficient Document Retrieval. CoRR (2020)
Bodo Billerbeck, Justin Zobel, Nicholas Lester, Nick Craswell
Scalable Methods for Calculating Term Co-Occurrence Frequencies. CoRR (2020)
Hamed Zamani, Susan T. Dumais, Nick Craswell, Paul N. Bennett, Gord Lueck
Generating Clarifying Questions for Information Retrieval. WWW (2020)
Leif Azzopardi, Ryen W. White, Paul Thomas, Nick Craswell
Data-Driven Evaluation Metrics for Heterogeneous Search Engine Result Pages. CHIIR (2020)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees
Overview of the TREC 2019 deep learning track. CoRR (2020)
Paul Thomas, Bodo Billerbeck, Nick Craswell, Ryen W. White
Investigating Searchers' Mental Models to Inform Search Explanations. ACM Trans. Inf. Syst. 38 (1) (2020)
Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. CoRR (2020)
Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais
Analyzing and Learning from User Interactions for Search Clarification. CoRR (2020)
Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais
Analyzing and Learning from User Interactions for Search Clarification. SIGIR (2020)
Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck
ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search. CoRR (2020)
Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury
Local Self-Attention over Long Text for Efficient Document Retrieval. SIGIR (2020)
Xiaolu Lu, Oren Kurland, J. Shane Culpepper, Nick Craswell, Ofri Rom
Relevance Modeling with Multiple Query Variations. ICTIR (2019)
Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary
Generic Intent Representation in Web Search. CoRR (2019)
Bhaskar Mitra, Nick Craswell
An Updated Duet Model for Passage Re-ranking. CoRR (2019)
Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary
Generic Intent Representation in Web Search. SIGIR (2019)
Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, Emine Yilmaz
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks. CoRR (2019)
Gabriella Kazai, Paul Thomas, Nick Craswell
The Emotion Profile of Web Search. SIGIR (2019)
Bhaskar Mitra, Nick Craswell
DUET AT TREC 2019 DEEP LEARNING TRACK. TREC (2019)
Hamed Zamani, Nick Craswell
Macaw: An Extensible Conversational Information Seeking Platform. CoRR (2019)
Binsheng Liu, Nick Craswell, Xiaolu Lu, Oren Kurland, J. Shane Culpepper
A Comparative Analysis of Human and Automatic Query Variants. ICTIR (2019)
Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary
An Axiomatic Approach to Regularizing Neural Ranking Models. CoRR (2019)
Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary
An Axiomatic Approach to Regularizing Neural Ranking Models. SIGIR (2019)
Bhaskar Mitra, Nick Craswell
Duet at TREC 2019 Deep Learning Track. CoRR (2019)
Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra
Neural information retrieval: introduction to the special issue. Inf. Retr. J. 21 (2-3) (2018)
Bhaskar Mitra, Nick Craswell
An Introduction to Neural Information Retrieval. Found. Trends Inf. Retr. 13 (1) (2018)
Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary
Neural Ranking Models with Multiple Document Fields. WSDM (2018)
Paul Thomas, Mary Czerwinski, Daniel J. McDuff, Nick Craswell, Gloria Mark
Style and Alignment in Information-Seeking Conversation. CHIIR (2018)
Hamed Zamani, Mostafa Dehghani, Fernando Diaz, Hang Li, Nick Craswell
SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval. SIGIR (2018)
Laura Dietz, Ben Gamari, Jeff Dalton, Nick Craswell
TREC Complex Answer Retrieval Overview. TREC (2018)
Manisha Verma, Emine Yilmaz, Nick Craswell
Study of Relevance and Effort across Devices. CHIIR (2018)
Leif Azzopardi, Paul Thomas, Nick Craswell
Measuring the Utility of Search Engine Result Pages: An Information Foraging Based Measure. SIGIR (2018)
Paul Thomas, Alistair Moffat, Peter Bailey, Falk Scholer, Nick Craswell
Better Effectiveness Metrics for SERPs, Cards, and Rankings. ADCS (2018)
Laura Dietz, Manisha Verma, Filip Radlinski, Nick Craswell
TREC Complex Answer Retrieval Overview. TREC (2017)
Jin Young Kim, Nick Craswell, Susan T. Dumais, Filip Radlinski, Fang Liu
Understanding and Modeling Success in Email Search. SIGIR (2017)
Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra
SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17). SIGIR (2017)
Bhaskar Mitra, Nick Craswell
Neural Models for Information Retrieval. CoRR (2017)
Filip Radlinski, Nick Craswell
A Theoretical Framework for Conversational Search. CHIIR (2017)
Bhaskar Mitra, Fernando Diaz, Nick Craswell
Luandri: A Clean Lua Interface to the Indri Search Engine. SIGIR (2017)
Bhaskar Mitra, Fernando Diaz, Nick Craswell
Learning to Match using Local and Distributed Representations of Text for Web Search. WWW (2017)
Daniel J. McDuff, Paul Thomas, Mary Czerwinski, Nick Craswell
Multimodal analysis of vocal collaborative search: a public corpus and results. ICMI (2017)
Evangelos Kanoulas, Emine Yilmaz, Rishabh Mehrotra, Ben Carterette, Nick Craswell, Peter Bailey
TREC 2017 Tasks Track Overview. TREC (2017)
Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra
Report on the Second SIGIR Workshop on Neural Information Retrieval (Neu-IR'17). SIGIR Forum 51 (3) (2017)
Nick Craswell
Neural Models for Full Text Search. WSDM (2017)
Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary
Neural Ranking Models with Multiple Document Fields. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nick Craswell