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2020 – today
- 2024
[j5]Sean MacAvaney, Adam Roegiest, Aldo Lipani, Andrew Parry, Björn Engelmann, Christin Katharina Kreutz, Chuan Meng, Erlend Frayling, Eugene Yang, Ferdinand Schlatt, Guglielmo Faggioli, Harrisen Scells, Iana Atanassova, Jana Friese, Janek Bevendorff, Javier Sanz-Cruzado, Johanne Trippas, Kanaad Pathak, Kaustubh D. Dhole, Leif Azzopardi, Maik Fröbe, Marc Bertin, Nishchal Prasad, Saber Zerhoudi, Shuai Wang, Shubham Chatterjee, Thomas Jänich, Udo Kruschwitz, Xi Wang, Zijun Long:
Report on the Collab-a-Thon at ECIR 2024. SIGIR Forum 58(1): 1-11 (2024)- [j4]Canjia Li
, Andrew Yates, Sean MacAvaney, Ben He, Yingfei Sun:
PARADE: Passage Representation Aggregation forDocument Reranking. ACM Trans. Inf. Syst. 42(2): 36:1-36:26 (2024) - [c68]Andrew Parry, Sean MacAvaney, Debasis Ganguly:
Exploiting Positional Bias for Query-Agnostic Generative Content in Search. ACL (Findings) 2024: 11030-11047 - [c67]Hrishikesh Kulkarni, Nazli Goharian, Ophir Frieder, Sean MacAvaney:
LexBoost: Improving Lexical Document Retrieval with Nearest Neighbors. DocEng 2024: 16:1-16:10 - [c66]Erlend Frayling, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Effective Adhoc Retrieval Through Traversal of a Query-Document Graph. ECIR (3) 2024: 89-104 - [c65]Aleksandr V. Petrov, Sean MacAvaney, Craig Macdonald:
Shallow Cross-Encoders for Low-Latency Retrieval. ECIR (3) 2024: 151-166 - [c64]Suchana Datta, Debasis Ganguly, Sean MacAvaney, Derek Greene:
A Deep Learning Approach for Selective Relevance Feedback. ECIR (2) 2024: 189-204 - [c63]Andrew Parry, Maik Fröbe, Sean MacAvaney, Martin Potthast, Matthias Hagen:
Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models. ECIR (2) 2024: 286-302 - [c62]Saran Pandian, Debasis Ganguly, Sean MacAvaney:
Evaluating the Explainability of Neural Rankers. ECIR (4) 2024: 369-383 - [c61]Thong Nguyen, Shubham Chatterjee, Sean MacAvaney, Iain Mackie, Jeff Dalton, Andrew Yates:
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities. EMNLP 2024: 767-783 - [c60]Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast:
The Information Retrieval Experiment Platform (Extended Abstract). IJCAI 2024: 8405-8410 - [c59]Xuejun Chang, Debabrata Mishra, Craig Macdonald, Sean MacAvaney:
Neural Passage Quality Estimation for Static Pruning. SIGIR 2024: 174-185 - [c58]Maik Fröbe, Harrisen Scells, Theresa Elstner, Christopher Akiki, Lukas Gienapp, Jan Heinrich Reimer, Sean MacAvaney, Benno Stein, Matthias Hagen, Martin Potthast:
Resources for Combining Teaching and Research in Information Retrieval Coursework. SIGIR 2024: 1115-1125 - [c57]Sean MacAvaney, Nicola Tonellotto:
A Reproducibility Study of PLAID. SIGIR 2024: 1411-1419 - [c56]James Mayfield, Eugene Yang, Dawn J. Lawrie, Sean MacAvaney, Paul McNamee, Douglas W. Oard, Luca Soldaini, Ian Soboroff, Orion Weller, Efsun Selin Kayi, Kate Sanders, Marc Mason, Noah Hibbler:
On the Evaluation of Machine-Generated Reports. SIGIR 2024: 1904-1915 - [i55]Suchana Datta, Debasis Ganguly, Sean MacAvaney, Derek Greene:
A Deep Learning Approach for Selective Relevance Feedback. CoRR abs/2401.11198 (2024) - [i54]Saran Pandian, Debasis Ganguly, Sean MacAvaney:
Evaluating the Explainability of Neural Rankers. CoRR abs/2403.01981 (2024) - [i53]Andrew Parry, Maik Fröbe, Sean MacAvaney, Martin Potthast, Matthias Hagen:
Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models. CoRR abs/2403.07654 (2024) - [i52]Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn J. Lawrie, Luca Soldaini:
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions. CoRR abs/2403.15246 (2024) - [i51]Aleksandr V. Petrov, Sean MacAvaney, Craig Macdonald:
Shallow Cross-Encoders for Low-Latency Retrieval. CoRR abs/2403.20222 (2024) - [i50]Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Paul McNamee, Douglas W. Oard, Luca Soldaini, Eugene Yang:
Overview of the TREC 2023 NeuCLIR Track. CoRR abs/2404.08071 (2024) - [i49]Sean MacAvaney, Nicola Tonellotto:
A Reproducibility Study of PLAID. CoRR abs/2404.14989 (2024) - [i48]Andrew Parry, Sean MacAvaney, Debasis Ganguly:
Exploiting Positional Bias for Query-Agnostic Generative Content in Search. CoRR abs/2405.00469 (2024) - [i47]James Mayfield, Eugene Yang, Dawn J. Lawrie, Sean MacAvaney, Paul McNamee, Douglas W. Oard, Luca Soldaini, Ian Soboroff, Orion Weller, Efsun Selin Kayi, Kate Sanders, Marc Mason, Noah Hibbler:
On the Evaluation of Machine-Generated Reports. CoRR abs/2405.00982 (2024) - [i46]Andrew Parry, Thomas Jänich, Sean MacAvaney, Iadh Ounis:
Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023. CoRR abs/2405.01122 (2024) - [i45]Andrew Parry, Sean MacAvaney, Debasis Ganguly:
Top-Down Partitioning for Efficient List-Wise Ranking. CoRR abs/2405.14589 (2024) - [i44]Xuejun Chang, Debabrata Mishra, Craig Macdonald, Sean MacAvaney:
Neural Passage Quality Estimation for Static Pruning. CoRR abs/2407.12170 (2024) - [i43]Hrishikesh Kulkarni, Nazli Goharian, Ophir Frieder, Sean MacAvaney:
Genetic Approach to Mitigate Hallucination in Generative IR. CoRR abs/2409.00085 (2024) - [i42]Hrishikesh Kulkarni, Nazli Goharian, Ophir Frieder, Sean MacAvaney:
LexBoost: Improving Lexical Document Retrieval with Nearest Neighbors. CoRR abs/2409.05882 (2024) - 2023
- [c55]Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Effective Contrastive Weighting for Dense Query Expansion. ACL (1) 2023: 12688-12704 - [c54]Hrishikesh Kulkarni, Zachary Young, Nazli Goharian, Ophir Frieder, Sean MacAvaney:
Genetic Generative Information Retrieval. DocEng 2023: 8:1-8:4 - [c53]Thong Nguyen, Sean MacAvaney, Andrew Yates:
A Unified Framework for Learned Sparse Retrieval. ECIR (3) 2023: 101-116 - [c52]Mitko Gospodinov, Sean MacAvaney, Craig Macdonald:
Doc2Query-: When Less is More. ECIR (2) 2023: 414-422 - [c51]Sean MacAvaney:
Re-Thinking Re-Ranking. IIR 2023: 1 - [c50]Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast:
The Information Retrieval Experiment Platform. LWDA 2023: 175-178 - [c49]Hrishikesh Kulkarni, Sean MacAvaney, Nazli Goharian, Ophir Frieder:
Lexically-Accelerated Dense Retrieval. SIGIR 2023: 152-162 - [c48]Thong Nguyen, Sean MacAvaney, Andrew Yates:
Adapting Learned Sparse Retrieval for Long Documents. SIGIR 2023: 1781-1785 - [c47]Andreas Chari, Sean MacAvaney, Iadh Ounis:
On the Effects of Regional Spelling Conventions in Retrieval Models. SIGIR 2023: 2220-2224 - [c46]Sean MacAvaney, Luca Soldaini:
One-Shot Labeling for Automatic Relevance Estimation. SIGIR 2023: 2230-2235 - [c45]Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast:
The Information Retrieval Experiment Platform. SIGIR 2023: 2826-2836 - [i41]Mitko Gospodinov, Sean MacAvaney, Craig Macdonald:
Doc2Query-: When Less is More. CoRR abs/2301.03266 (2023) - [i40]Sean MacAvaney, Luca Soldaini:
One-Shot Labeling for Automatic Relevance Estimation. CoRR abs/2302.11266 (2023) - [i39]Thong Nguyen, Sean MacAvaney, Andrew Yates:
A Unified Framework for Learned Sparse Retrieval. CoRR abs/2303.13416 (2023) - [i38]Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Paul McNamee, Douglas W. Oard, Luca Soldaini, Eugene Yang:
Overview of the TREC 2022 NeuCLIR Track. CoRR abs/2304.12367 (2023) - [i37]Thong Nguyen, Sean MacAvaney, Andrew Yates:
Adapting Learned Sparse Retrieval for Long Documents. CoRR abs/2305.18494 (2023) - [i36]Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast:
The Information Retrieval Experiment Platform. CoRR abs/2305.18932 (2023) - [i35]Sean MacAvaney, Xi Wang:
Online Distillation for Pseudo-Relevance Feedback. CoRR abs/2306.09657 (2023) - [i34]Iain Mackie, Shubham Chatterjee, Sean MacAvaney, Jeffrey Dalton:
Re-Rank - Expand - Repeat: Adaptive Query Expansion for Document Retrieval Using Words and Entities. CoRR abs/2306.17082 (2023) - [i33]Hrishikesh Kulkarni, Sean MacAvaney, Nazli Goharian, Ophir Frieder:
Lexically-Accelerated Dense Retrieval. CoRR abs/2307.16779 (2023) - [i32]Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Generative Query Reformulation for Effective Adhoc Search. CoRR abs/2308.00415 (2023) - [i31]Andreas Chari, Sean MacAvaney, Iadh Ounis:
On the Effects of Regional Spelling Conventions in Retrieval Models. CoRR abs/2308.00480 (2023) - 2022
- [j3]Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan:
ABNIRML: Analyzing the Behavior of Neural IR Models. Trans. Assoc. Comput. Linguistics 10: 224-239 (2022) - [c44]Sean MacAvaney, Nicola Tonellotto, Craig Macdonald:
Adaptive Re-Ranking with a Corpus Graph. CIKM 2022: 1491-1500 - [c43]Sean MacAvaney, Nicola Tonellotto, Craig Macdonald:
Adaptive Re-Ranking as an Information-Seeking Agent. CIKM Workshops 2022 - [c42]Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Streamlining Evaluation with ir-measures. ECIR (2) 2022: 305-310 - [c41]Eugene Yang, Sean MacAvaney, David D. Lewis, Ophir Frieder:
Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review. ECIR (1) 2022: 502-517 - [c40]Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Reproducing Personalised Session Search Over the AOL Query Log. ECIR (1) 2022: 627-640 - [c39]Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract). IIR 2022 - [c38]Hrishikesh Kulkarni, Sean MacAvaney, Nazli Goharian, Ophir Frieder:
TBD3: A Thresholding-Based Dynamic Depression Detection from Social Media for Low-Resource Users. LREC 2022: 2157-2165 - [c37]Suchana Datta, Sean MacAvaney, Debasis Ganguly, Derek Greene:
A 'Pointwise-Query, Listwise-Document' based Query Performance Prediction Approach. SIGIR 2022: 2148-2153 - [c36]Prashansa Gupta, Sean MacAvaney:
On Survivorship Bias in MS MARCO. SIGIR 2022: 2214-2219 - [c35]Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
An Inspection of the Reproducibility and Replicability of TCT-ColBERT. SIGIR 2022: 2790-2800 - [c34]Iain Mackie, Paul Owoicho, Carlos Gemmell, Sophie Fischer, Sean MacAvaney, Jeffrey Dalton:
CODEC: Complex Document and Entity Collection. SIGIR 2022: 3067-3077 - [c33]Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation. SIGIR 2022: 3099-3107 - [c32]Sean MacAvaney, Craig Macdonald:
A Python Interface to PISA! SIGIR 2022: 3339-3344 - [c31]Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Paul McNamee, Douglas W. Oard, Luca Soldaini, Eugene Yang:
Overview of the TREC 2022 NeuCLIR Track. TREC 2022 - [c30]Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Experiments with Adaptive ReRanking and ColBERT-PRF: University of Glasgow Terrier Team at TREC DL 2022. TREC 2022 - [i30]Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Reproducing Personalised Session Search over the AOL Query Log. CoRR abs/2201.08622 (2022) - [i29]Prashansa Gupta, Sean MacAvaney:
On Survivorship Bias in MS MARCO. CoRR abs/2204.12852 (2022) - [i28]Iain Mackie, Paul Owoicho, Carlos Gemmell, Sophie Fischer, Sean MacAvaney, Jeffrey Dalton:
CODEC: Complex Document and Entity Collection. CoRR abs/2205.04546 (2022) - [i27]Sean MacAvaney, Nicola Tonellotto, Craig Macdonald:
Adaptive Re-Ranking with a Corpus Graph. CoRR abs/2208.08942 (2022) - 2021
- [j2]Sean MacAvaney:
Effective and practical neural ranking. SIGIR Forum 55(1): 17:1-17:2 (2021) - [c29]Sean MacAvaney, Franck Dernoncourt, Walter Chang, Nazli Goharian, Ophir Frieder:
Interaction Matching for Long-Tail Multi-Label Classification. SDU@AAAI 2021 - [c28]Shameem A. Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith, Sean MacAvaney, Evangelos Zervas:
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations. ACML 2021: 564-579 - [c27]Craig Macdonald, Nicola Tonellotto, Sean MacAvaney, Iadh Ounis:
PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. CIKM 2021: 4526-4533 - [c26]Craig Macdonald, Nicola Tonellotto, Sean MacAvaney:
IR From Bag-of-words to BERT and Beyond through Practical Experiments. CIKM 2021: 4861 - [c25]Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian:
Simplified Data Wrangling with ir_datasets. SIGIR 2021: 2429-2436 - [c24]Kevin Martin Jose, Thong Nguyen, Sean MacAvaney, Jeffrey Dalton, Andrew Yates:
DiffIR: Exploring Differences in Ranking Models' Behavior. SIGIR 2021: 2595-2599 - [c23]Tong Xiang, Sean MacAvaney, Eugene Yang, Nazli Goharian:
ToxCCIn: Toxic Content Classification with Interpretability. WASSA@EACL 2021: 1-12 - [c22]Cristopher Flagg, Ophir Frieder, Sean MacAvaney, Gholam Motamedi:
Real-time Streaming of Gait Assessment for Parkinson's Disease. WSDM 2021: 1081-1084 - [i26]Tong Xiang, Sean MacAvaney, Eugene Yang, Nazli Goharian:
ToxCCIn: Toxic Content Classification with Interpretability. CoRR abs/2103.01328 (2021) - [i25]Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian:
Simplified Data Wrangling with ir_datasets. CoRR abs/2103.02280 (2021) - [i24]Eugene Yang, Sean MacAvaney, David D. Lewis, Ophir Frieder:
Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review. CoRR abs/2105.01044 (2021) - [i23]Sean MacAvaney, Craig Macdonald, Roderick Murray-Smith, Iadh Ounis:
IntenT5: Search Result Diversification using Causal Language Models. CoRR abs/2108.04026 (2021) - [i22]Shameem A. Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith, Sean MacAvaney, Evangelos Zervas:
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations. CoRR abs/2108.13810 (2021) - [i21]Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Streamlining Evaluation with ir-measures. CoRR abs/2111.13466 (2021) - 2020
- [c21]Sean MacAvaney, Arman Cohan, Nazli Goharian, Ross W. Filice:
Ranking Significant Discrepancies in Clinical Reports. ECIR (2) 2020: 238-245 - [c20]Sean MacAvaney, Luca Soldaini, Nazli Goharian:
Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-Shot Learning. ECIR (2) 2020: 246-254 - [c19]Sean MacAvaney, Arman Cohan, Nazli Goharian:
SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search. EMNLP (1) 2020: 4171-4179 - [c18]Sajad Sotudeh, Tong Xiang, Hao-Ren Yao, Sean MacAvaney, Eugene Yang, Nazli Goharian, Ophir Frieder:
GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection. SemEval@COLING 2020: 1555-1561 - [c17]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. SIGIR 2020: 49-58 - [c16]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Training Curricula for Open Domain Answer Re-Ranking. SIGIR 2020: 529-538 - [c15]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Expansion via Prediction of Importance with Contextualization. SIGIR 2020: 1573-1576 - [c14]Cristopher Flagg, Ophir Frieder, Sean MacAvaney, Gholam Motamedi:
Streaming Gait Assessment for Parkinson's Disease. HSDM@WSDM 2020: 34-42 - [c13]Sean MacAvaney:
OpenNIR: A Complete Neural Ad-Hoc Ranking Pipeline. WSDM 2020: 845-848 - [i20]Sean MacAvaney, Arman Cohan, Nazli Goharian, Ross W. Filice:
Ranking Significant Discrepancies in Clinical Reports. CoRR abs/2001.06674 (2020) - [i19]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Expansion via Prediction of Importance with Contextualization. CoRR abs/2004.14245 (2020) - [i18]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. CoRR abs/2004.14255 (2020) - [i17]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Training Curricula for Open Domain Answer Re-Ranking. CoRR abs/2004.14269 (2020) - [i16]Sean MacAvaney, Arman Cohan, Nazli Goharian:
SLEDGE: A Simple Yet Effective Baseline for Coronavirus Scientific Knowledge Search. CoRR abs/2005.02365 (2020) - [i15]Sean MacAvaney, Franck Dernoncourt, Walter Chang, Nazli Goharian, Ophir Frieder:
Interaction Matching for Long-Tail Multi-Label Classification. CoRR abs/2005.08805 (2020) - [i14]Sajad Sotudeh, Tong Xiang, Hao-Ren Yao, Sean MacAvaney, Eugene Yang, Nazli Goharian, Ophir Frieder:
GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection. CoRR abs/2007.14477 (2020) - [i13]Canjia Li, Andrew Yates, Sean MacAvaney, Ben He, Yingfei Sun:
PARADE: Passage Representation Aggregation for Document Reranking. CoRR abs/2008.09093 (2020) - [i12]Sean MacAvaney, Arman Cohan, Nazli Goharian:
SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search. CoRR abs/2010.05987 (2020) - [i11]Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan:
ABNIRML: Analyzing the Behavior of Neural IR Models. CoRR abs/2011.00696 (2020)
2010 – 2019
- 2019
- [j1]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Overcoming low-utility facets for complex answer retrieval. Inf. Retr. J. 22(3-4): 395-418 (2019) - [c12]Sean MacAvaney, Andrew Yates, Kai Hui, Ophir Frieder:
Content-Based Weak Supervision for Ad-Hoc Re-Ranking. SIGIR 2019: 993-996 - [c11]Sean MacAvaney, Sajad Sotudeh, Arman Cohan, Nazli Goharian, Ish A. Talati, Ross W. Filice:
Ontology-Aware Clinical Abstractive Summarization. SIGIR 2019: 1013-1016 - [c10]Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian:
CEDR: Contextualized Embeddings for Document Ranking. SIGIR 2019: 1101-1104 - [i10]Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian:
CEDR: Contextualized Embeddings for Document Ranking. CoRR abs/1904.07094 (2019) - [i9]Sean MacAvaney, Sajad Sotudeh, Arman Cohan, Nazli Goharian, Ish A. Talati, Ross W. Filice:
Ontology-Aware Clinical Abstractive Summarization. CoRR abs/1905.05818 (2019) - [i8]Sean MacAvaney, Luca Soldaini, Nazli Goharian:
Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning. CoRR abs/1912.13080 (2019) - 2018
- [c9]Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly, Nazli Goharian:
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses. CLPsych@NAACL-HTL 2018: 168-173 - [c8]Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian:
SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions. COLING 2018: 1485-1497 - [c7]Sean MacAvaney, Amir Zeldes:
A Deeper Look into Dependency-Based Word Embeddings. NAACL-HLT (Student Research Workshop) 2018: 40-45 - [c6]Sean MacAvaney, Luca Soldaini, Arman Cohan, Nazli Goharian:
GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification. SemEval@NAACL-HLT 2018: 831-835 - [c5]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Overcoming Low-Utility Facets for Complex Answer Retrieval. ProfS/KG4IR/Data:Search@SIGIR 2018: 46-47 - [c4]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Characterizing Question Facets for Complex Answer Retrieval. SIGIR 2018: 1205-1208 - [c3]Sean MacAvaney, Nazli Goharian, Ophir Frieder, Andrew Yates:
PACRR Gated Expansion for TREC CAR 2018. TREC 2018 - [i7]Sean MacAvaney, Luca Soldaini, Arman Cohan, Nazli Goharian:
GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification. CoRR abs/1804.05408 (2018) - [i6]Sean MacAvaney, Amir Zeldes:
A Deeper Look into Dependency-Based Word Embeddings. CoRR abs/1804.05972 (2018) - [i5]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Characterizing Question Facets for Complex Answer Retrieval. CoRR abs/1805.00791 (2018) - [i4]Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian:
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions. CoRR abs/1806.05258 (2018) - [i3]Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly, Nazli Goharian:
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses. CoRR abs/1806.07916 (2018) - [i2]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Overcoming low-utility facets for complex answer retrieval. CoRR abs/1811.08772 (2018) - 2017
- [c2]Sean MacAvaney, Arman Cohan, Nazli Goharian:
GUIR at SemEval-2017 Task 12: A Framework for Cross-Domain Clinical Temporal Information Extraction. SemEval@ACL 2017: 1024-1029 - [c1]Sean MacAvaney, Andrew Yates, Kai Hui:
Contextualized PACRR for Complex Answer Retrieval. TREC 2017 - [i1]Sean MacAvaney, Kai Hui, Andrew Yates:
An Approach for Weakly-Supervised Deep Information Retrieval. CoRR abs/1707.00189 (2017)
Coauthor Index
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last updated on 2024-11-15 20:40 CET by the dblp team
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