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2020 – today
- 2024
[c95]Alexander Braylan, Madalyn Marabella, Omar Alonso, Matthew Lease:
A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint). AAAI 2024: 22693- [c94]Alex C. Williams
, Min Bai, Jonathan Buck, Tristan J. McKinney, Amy Rechkemmer, Koushik Kalyanaraman, Matthew Lease, Patrick Haffner, Xiong Zhou, Li Erran Li:
Snapper: Accelerating Bounding Box Annotation in Object Detection Tasks with Find-and-Snap Tooling. IUI 2024: 471-488 - [c93]Venelin Kovatchev, Matthew Lease:
Benchmark Transparency: Measuring the Impact of Data on Evaluation. NAACL-HLT 2024: 1536-1551 - [i56]Terrence Neumann, Sooyong Lee, Maria De-Arteaga, Sina Fazelpour, Matthew Lease:
Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation. CoRR abs/2401.16558 (2024) - [i55]Venelin Kovatchev, Matthew Lease:
Benchmark Transparency: Measuring the Impact of Data on Evaluation. CoRR abs/2404.00748 (2024) - [i54]Gauri Kambhatla, Matthew Lease, Ashwin Rajadesingan:
Promoting Constructive Deliberation: Reframing for Receptiveness. CoRR abs/2405.15067 (2024) - [i53]Soumyajit Gupta, Venelin Kovatchev, Maria De-Arteaga, Matthew Lease:
Fairly Accurate: Optimizing Accuracy Parity in Fair Target-Group Detection. CoRR abs/2407.11933 (2024) - 2023
- [j17]Jie Yang, Alessandro Bozzon, Ujwal Gadiraju, Matthew Lease:
Editorial: Human-centered AI: Crowd computing. Frontiers Artif. Intell. 6 (2023) - [j16]Anubrata Das, Houjiang Liu, Venelin Kovatchev, Matthew Lease:
The state of human-centered NLP technology for fact-checking. Inf. Process. Manag. 60(2): 103219 (2023) - [j15]Alexander Braylan, Madalyn Marabella, Omar Alonso, Matthew Lease:
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks. J. Artif. Intell. Res. 78: 901-973 (2023) - [c92]Mehmet Deniz Türkmen, Matthew Lease, Mücahid Kutlu:
New Metrics to Encourage Innovation and Diversity in Information Retrieval Approaches. ECIR (2) 2023: 239-254 - [c91]Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi, Matthew Lease:
Designing Closed-Loop Models for Task Allocation. HHAI 2023: 17-32 - [c90]Soumyajit Gupta, Sooyong Lee, Maria De-Arteaga, Matthew Lease:
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection. WWW 2023: 3689-3700 - [i52]Anubrata Das, Houjiang Liu, Venelin Kovatchev, Matthew Lease:
The State of Human-centered NLP Technology for Fact-checking. CoRR abs/2301.03056 (2023) - [i51]Mehmet Deniz Türkmen, Matthew Lease, Mücahid Kutlu:
New Metrics to Encourage Innovation and Diversity in Information Retrieval Approaches. CoRR abs/2301.08062 (2023) - [i50]Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Wei Sun, Min Kyung Lee, Matthew Lease:
Learning Complementary Policies for Human-AI Teams. CoRR abs/2302.02944 (2023) - [i49]Soumyajit Gupta, Sooyong Lee, Maria De-Arteaga, Matthew Lease:
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection. CoRR abs/2302.07372 (2023) - [i48]Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi, Matthew Lease:
Designing Closed-Loop Models for Task Allocation. CoRR abs/2305.19864 (2023) - [i47]Houjiang Liu, Anubrata Das, Alexander Boltz, Didi Zhou, Daisy Pinaroc, Matthew Lease, Min Kyung Lee:
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI. CoRR abs/2308.07213 (2023) - [i46]Danula Hettiachchi, Indigo Holcombe-James, Stephanie Livingstone, Anjalee de Silva, Matthew Lease, Flora D. Salim, Mark Sanderson:
How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets. CoRR abs/2309.01288 (2023) - [i45]Yiheng Su, Junyi Jessy Li, Matthew Lease:
Interpretable by Design: Wrapper Boxes Combine Neural Performance with Faithful Explanations. CoRR abs/2311.08644 (2023) - [i44]Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson:
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR abs/2311.13028 (2023) - [i43]Alexander Braylan, Madalyn Marabella, Omar Alonso, Matthew Lease:
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks. CoRR abs/2312.13437 (2023) - 2022
- [j14]Vivek Krishna Pradhan, Mike Schaekermann, Matthew Lease:
In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd Workers. Frontiers Artif. Intell. 5: 828187 (2022) - [j13]Lora Aroyo, Matthew Lease, Praveen K. Paritosh, Mike Schaekermann:
Data excellence for AI: why should you care? Interactions 29(2): 66-69 (2022) - [c89]Anubrata Das, Chitrank Gupta, Venelin Kovatchev, Matthew Lease, Junyi Jessy Li:
ProtoTEx: Explaining Model Decisions with Prototype Tensors. ACL (1) 2022: 2986-2997 - [c88]Li Shi, Nilavra Bhattacharya, Anubrata Das, Matt Lease, Jacek Gwizdka:
The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims. CHIIR 2022: 315-320 - [c87]Md. Mustafizur Rahman, Mücahid Kutlu, Matthew Lease:
Understanding and Predicting Characteristics of Test Collections in Information Retrieval. iConference (2) 2022: 136-148 - [c86]Prateek Chaudhry, Matthew Lease:
You Are What You Tweet: Profiling Users by Past Tweets to Improve Hate Speech Detection. iConference (2) 2022: 195-203 - [c85]Soumyajit Gupta, Gurpreet Singh, Raghu Bollapragada, Matthew Lease:
Learning a neural Pareto manifold extractor with constraints. UAI 2022: 749-758 - [c84]Alexander Braylan, Omar Alonso, Matthew Lease:
Measuring Annotator Agreement Generally across Complex Structured, Multi-object, and Free-text Annotation Tasks. WWW 2022: 1720-1730 - [i42]Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi:
Designing Closed Human-in-the-loop Deferral Pipelines. CoRR abs/2202.04718 (2022) - [i41]Li Shi, Nilavra Bhattacharya, Anubrata Das, Matthew Lease, Jacek Gwizdka:
The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims. CoRR abs/2202.08901 (2022) - [i40]Anubrata Das, Chitrank Gupta, Venelin Kovatchev, Matthew Lease, Junyi Jessy Li:
ProtoTEx: Explaining Model Decisions with Prototype Tensors. CoRR abs/2204.05426 (2022) - [i39]Venelin Kovatchev, Soumyajit Gupta, Matthew Lease:
Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection. CoRR abs/2204.07661 (2022) - [i38]Venelin Kovatchev, Trina Chatterjee, Venkata Subrahmanyan Govindarajan, Jifan Chen, Eunsol Choi, Gabriella Chronis, Anubrata Das, Katrin Erk, Matthew Lease, Junyi Jessy Li, Yating Wu, Kyle Mahowald:
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks. CoRR abs/2206.14729 (2022) - [i37]Alexander Braylan, Omar Alonso, Matthew Lease:
Measuring Annotator Agreement Generally across Complex Structured, Multi-object, and Free-text Annotation Tasks. CoRR abs/2212.09503 (2022) - [i36]Caifan Du, Matthew Lease:
Voices of Workers: Why a Worker-Centered Approach to Crowd Work Is Challenging. CoRR abs/2212.14471 (2022) - 2021
- [j12]Danula Hettiachchi, Mike Schaekermann, Tristan McKinney, Matthew Lease:
The Challenge of Variable Effort Crowdsourcing and How Visible Gold Can Help. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 332:1-332:26 (2021) - [c83]Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi:
Towards Unbiased and Accurate Deferral to Multiple Experts. AIES 2021: 154-165 - [c82]Miriah Steiger, Timir J. Bharucha, Sukrit Venkatagiri, Martin J. Riedl, Matthew Lease:
The Psychological Well-Being of Content Moderators: The Emotional Labor of Commercial Moderation and Avenues for Improving Support. CHI 2021: 341:1-341:14 - [c81]Danula Hettiachchi, Mark Sanderson, Jorge Gonçalves, Simo Hosio, Gabriella Kazai, Matthew Lease, Mike Schaekermann, Emine Yilmaz:
Investigating and Mitigating Biases in Crowdsourced Data. CSCW Companion 2021: 331-334 - [c80]Soumyajit Gupta, Gurpreet Singh, Anubrata Das, Matthew Lease:
Pareto Solutions vs Dataset Optima: Concepts and Methods for Optimizing Competing Objectives with Constraints in Retrieval. ICTIR 2021: 43-52 - [c79]Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease:
Human-AI Collaboration with Bandit Feedback. IJCAI 2021: 1722-1728 - [c78]Alexander Braylan, Matthew Lease:
Aggregating Complex Annotations via Merging and Matching. KDD 2021: 86-94 - [c77]Md. Mustafizur Rahman, Dinesh Balakrishnan, Dhiraj Murthy, Mücahid Kutlu, Matt Lease:
An Information Retrieval Approach to Building Datasets for Hate Speech Detection. NeurIPS Datasets and Benchmarks 2021 - [i35]Gurpreet Singh, Soumyajit Gupta, Matthew Lease, Clint Dawson:
A Hybrid 2-stage Neural Optimization for Pareto Front Extraction. CoRR abs/2101.11684 (2021) - [i34]Gurpreet Singh, Soumyajit Gupta, Matthew Lease, Clint Dawson:
SCA-Net: A Self-Correcting Two-Layer Autoencoder for Hyper-spectral Unmixing. CoRR abs/2102.05713 (2021) - [i33]Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi:
Towards Unbiased and Accurate Deferral to Multiple Experts. CoRR abs/2102.13004 (2021) - [i32]Danula Hettiachchi, Mike Schaekermann, Tristan McKinney, Matthew Lease:
The Challenge of Variable Effort Crowdsourcing and How Visible Gold Can Help. CoRR abs/2105.09457 (2021) - [i31]Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease:
Human-AI Collaboration with Bandit Feedback. CoRR abs/2105.10614 (2021) - [i30]Md. Mustafizur Rahman, Dinesh Balakrishnan, Dhiraj Murthy, Mücahid Kutlu, Matthew Lease:
An Information Retrieval Approach to Building Datasets for Hate Speech Detection. CoRR abs/2106.09775 (2021) - [i29]Prakhar Singh, Anubrata Das, Junyi Jessy Li, Matthew Lease:
The Case for Claim Difficulty Assessment in Automatic Fact Checking. CoRR abs/2109.09689 (2021) - [i28]Soumyajit Gupta, Gurpreet Singh, Matthew Lease:
Scalable Uni-directional Pareto Optimality for Multi-Task Learning with Constraints. CoRR abs/2110.15442 (2021) - [i27]Lora Aroyo, Matthew Lease, Praveen K. Paritosh, Mike Schaekermann:
Data Excellence for AI: Why Should You Care. CoRR abs/2111.10391 (2021) - [i26]Danula Hettiachchi, Mark Sanderson, Jorge Gonçalves, Simo Hosio, Gabriella Kazai, Matthew Lease, Mike Schaekermann, Emine Yilmaz:
Proceedings of the CSCW 2021 Workshop - Investigating and Mitigating Biases in Crowdsourced Data. CoRR abs/2111.14322 (2021) - [i25]Vivek Krishna Pradhan, Mike Schaekermann, Matthew Lease:
In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd Workers. CoRR abs/2112.02255 (2021) - 2020
- [j11]Mücahid Kutlu, Tyler McDonnell, Tamer Elsayed, Matthew Lease:
Annotator Rationales for Labeling Tasks in Crowdsourcing. J. Artif. Intell. Res. 69: 143-189 (2020) - [c76]Anubrata Das, Brandon Dang, Matthew Lease:
Fast, Accurate, and Healthier: Interactive Blurring Helps Moderators Reduce Exposure to Harmful Content. HCOMP 2020: 33-42 - [c75]Md. Mustafizur Rahman, Mücahid Kutlu, Tamer Elsayed, Matthew Lease:
Efficient Test Collection Construction via Active Learning. ICTIR 2020: 177-184 - [c74]Alexander Braylan, Matthew Lease:
Modeling and Aggregation of Complex Annotations via Annotation Distances. WWW 2020: 1807-1818 - [i24]Gurpreet Singh, Soumyajit Gupta, Matt Lease, Clint N. Dawson:
TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes. CoRR abs/2003.02426 (2020) - [i23]Gurpreet Singh, Soumyajit Gupta, Matthew Lease:
Extracting Optimal Solution Manifolds using Constrained Neural Optimization. CoRR abs/2009.06024 (2020) - [i22]Gurpreet Singh, Soumyajit Gupta, Matthew Lease, Clint Dawson:
Streaming Singular Value Decomposition for Big Data Applications. CoRR abs/2010.14226 (2020) - [i21]Prateek Chaudhry, Matthew Lease:
You Are What You Tweet: Profiling Users by Past Tweets to Improve Hate Speech Detection. CoRR abs/2012.09090 (2020) - [i20]Md. Mustafizur Rahman, Mücahid Kutlu, Matthew Lease:
Understanding and Predicting the Characteristics of Test Collections. CoRR abs/2012.13292 (2020)
2010 – 2019
- 2019
- [j10]Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David D. Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud F. Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima:
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. SIGIR Forum 53(2): 20-43 (2019) - [c73]Soumyajit Gupta, Mücahid Kutlu, Vivek Khetan, Matthew Lease:
Correlation, Prediction and Ranking of Evaluation Metrics in Information Retrieval. ECIR (1) 2019: 636-651 - [c72]An T. Nguyen, Matthew Lease, Byron C. Wallace:
Explainable modeling of annotations in crowdsourcing. IUI 2019: 575-579 - [c71]An Thanh Nguyen, Matt Lease, Byron C. Wallace:
Mash: software tools for developing interactive and transparent machine learning systems. IUI Workshops 2019 - [c70]Md. Mustafizur Rahman, Mücahid Kutlu, Matthew Lease:
Constructing Test Collections using Multi-armed Bandits and Active Learning. WWW 2019: 3158-3164 - [i19]Anubrata Das, Kunjan Mehta, Matthew Lease:
CobWeb: A Research Prototype for Exploring User Bias in Political Fact-Checking. CoRR abs/1907.03718 (2019) - [i18]Anubrata Das, Matthew Lease:
A Conceptual Framework for Evaluating Fairness in Search. CoRR abs/1907.09328 (2019) - 2018
- [j9]Lora Aroyo, Anca Dumitrache, Jeffrey V. Nickerson, Matthew Lease, Pietro Michelucci:
Reports of the Workshops Held at the Sixth AAAI Conference on Human Computation and Crowdsourcing. AI Mag. 39(4): 57-63 (2018) - [j8]Mücahid Kutlu, Tamer Elsayed, Matthew Lease:
Intelligent topic selection for low-cost information retrieval evaluation: A New perspective on deep vs. shallow judging. Inf. Process. Manag. 54(1): 37-59 (2018) - [j7]Kezban Dilek Onal, Ye Zhang, Ismail Sengor Altingovde, Md. Mustafizur Rahman, Pinar Karagoz, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Maarten de Rijke, Matthew Lease:
Neural information retrieval: at the end of the early years. Inf. Retr. J. 21(2-3): 111-182 (2018) - [c69]An T. Nguyen, Aditya Kharosekar, Matthew Lease, Byron C. Wallace:
An Interpretable Joint Graphical Model for Fact-Checking From Crowds. AAAI 2018: 1511-1518 - [c68]Mücahid Kutlu, Tamer Elsayed, Maram Hasanain, Matthew Lease:
When Rank Order Isn't Enough: New Statistical-Significance-Aware Correlation Measures. CIKM 2018: 397-406 - [c67]Mücahid Kutlu, Tyler McDonnell, Aashish Sheshadri, Tamer Elsayed, Matthew Lease:
Mix and Match: Collaborative Expert-Crowd Judging for Building Test Collections Accurately and Affordably. DESIRES 2018: 42-46 - [c66]Matthew Lease:
Fact Checking and Information Retrieval. DESIRES 2018: 97-98 - [c65]Tanya Goyal, Tyler McDonnell, Mücahid Kutlu, Tamer Elsayed, Matthew Lease:
Your Behavior Signals Your Reliability: Modeling Crowd Behavioral Traces to Ensure Quality Relevance Annotations. HCOMP 2018: 41-49 - [c64]Mücahid Kutlu, Tyler McDonnell, Yassmine Barkallah, Tamer Elsayed, Matthew Lease:
Crowd vs. Expert: What Can Relevance Judgment Rationales Teach Us About Assessor Disagreement? SIGIR 2018: 805-814 - [c63]An T. Nguyen, Aditya Kharosekar, Saumyaa Krishnan, Siddhesh Krishnan, Elizabeth Tate, Byron C. Wallace, Matthew Lease:
Believe it or not: Designing a Human-AI Partnership for Mixed-Initiative Fact-Checking. UIST 2018: 189-199 - [r2]Matthew Lease, Omar Alonso:
Crowdsourcing and Human Computation: Introduction. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i17]Md. Mustafizur Rahman, Mücahid Kutlu, Tamer Elsayed, Matthew Lease:
Efficient Test Collection Construction via Active Learning. CoRR abs/1801.05605 (2018) - [i16]Mücahid Kutlu, Vivek Khetan, Matthew Lease:
Correlation and Prediction of Evaluation Metrics in Information Retrieval. CoRR abs/1802.00323 (2018) - [i15]Brandon Dang, Martin J. Riedl, Matthew Lease:
Toward Safer Crowdsourced Content Moderation. CoRR abs/1804.10999 (2018) - [i14]Mücahid Kutlu, Tyler McDonnell, Aashish Sheshadri, Tamer Elsayed, Matthew Lease:
Mix and Match: Collaborative Expert-Crowd Judging for Building Test Collections Accurately and Affordably. CoRR abs/1806.00755 (2018) - 2017
- [c62]Ye Zhang, Matthew Lease, Byron C. Wallace:
Active Discriminative Text Representation Learning. AAAI 2017: 3386-3392 - [c61]Ye Zhang, Matthew Lease, Byron C. Wallace:
Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization. ACL (2) 2017: 155-160 - [c60]An Thanh Nguyen, Byron C. Wallace, Junyi Jessy Li, Ani Nenkova, Matthew Lease:
Aggregating and Predicting Sequence Labels from Crowd Annotations. ACL (1) 2017: 299-309 - [c59]Xi Zheng, Akanksha Bansal, Matthew Lease:
Bullseye: structured passage retrieval and document highlighting for scholarly search. ACSW 2017: 32:1-32:4 - [c58]Tyler McDonnell, Mücahid Kutlu, Tamer Elsayed, Matthew Lease:
The Many Benefits of Annotator Rationales for Relevance Judgments. IJCAI 2017: 4909-4913 - [i13]Mücahid Kutlu, Tamer Elsayed, Matthew Lease:
Learning to Effectively Select Topics For Information Retrieval Test Collections. CoRR abs/1701.07810 (2017) - [i12]Ye Zhang, Matthew Lease, Byron C. Wallace:
Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization. CoRR abs/1702.02535 (2017) - [i11]Akash Mankar, Riddhi J. Shah, Matthew Lease:
Design Activism for Minimum Wage Crowd Work. CoRR abs/1706.10097 (2017) - 2016
- [c57]Tyler McDonnell, Matthew Lease, Mücahid Kutlu, Tamer Elsayed:
Why Is That Relevant? Collecting Annotator Rationales for Relevance Judgments. HCOMP 2016: 139-148 - [c56]An Thanh Nguyen, Matthew Halpern, Byron C. Wallace, Matthew Lease:
Probabilistic Modeling for Crowdsourcing Partially-Subjective Ratings. HCOMP 2016: 149-158 - [c55]Reem Suwaileh, Mücahid Kutlu, Nihal Fathima, Tamer Elsayed, Matthew Lease:
ArabicWeb16: A New Crawl for Today's Arabic Web. SIGIR 2016: 673-676 - [c54]An T. Nguyen, Byron C. Wallace, Matthew Lease:
A Correlated Worker Model for Grouped, Imbalanced and Multitask Data. UAI 2016 - [e1]Arpita Ghosh, Matthew Lease:
Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2016, 30 October - 3 November, 2016, Austin, Texas, USA. AAAI Press 2016, ISBN 978-1-57735-774-2 [contents] - [i10]Brandon Dang, Miles Hutson, Matthew Lease:
MmmTurkey: A Crowdsourcing Framework for Deploying Tasks and Recording Worker Behavior on Amazon Mechanical Turk. CoRR abs/1609.00945 (2016) - [i9]Yalin Sun, Pengxiang Cheng, Shengwei Wang, Hao Lyu, Matthew Lease, Iain James Marshall, Byron C. Wallace:
Crowdsourcing Information Extraction for Biomedical Systematic Reviews. CoRR abs/1609.01017 (2016) - [i8]Ye Zhang, Md. Mustafizur Rahman, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Matthew Lease:
Neural Information Retrieval: A Literature Review. CoRR abs/1611.06792 (2016) - 2015
- [c53]Hyun Joon Jung, Matthew Lease:
A Discriminative Approach to Predicting Assessor Accuracy. ECIR 2015: 159-171 - [c52]Hyun Joon Jung, Matthew Lease:
Modeling Temporal Crowd Work Quality with Limited Supervision. HCOMP 2015: 83-91 - [c51]An Thanh Nguyen, Byron C. Wallace, Matthew Lease:
Combining Crowd and Expert Labels Using Decision Theoretic Active Learning. HCOMP 2015: 120-129 - 2014
- [j6]Tatiana Josephy, Matt Lease, Praveen K. Paritosh, Markus Krause, Mihai Georgescu, Michael Tjalve, Daniela Braga:
Workshops Held at the First AAAI Conference on Human Computation and Crowdsourcing: A Report. AI Mag. 35(2): 75-78 (2014) - [c50]Hyun Joon Jung, Yubin Park, Matthew Lease:
Predicting Next Label Quality: A Time-Series Model of Crowdwork. HCOMP 2014: 87-95 - [c49]Yinglong Zhang, Jin Zhang, Matthew Lease, Jacek Gwizdka:
Multidimensional relevance modeling via psychometrics and crowdsourcing. SIGIR 2014: 435-444 - [r1]Matthew Lease, Omar Alonso:
Crowdsourcing and Human Computation, Introduction. Encyclopedia of Social Network Analysis and Mining 2014: 304-315 - [i7]Ethan Petuchowski, Matthew Lease:
TurKPF: TurKontrol as a Particle Filter. CoRR abs/1404.5078 (2014) - [i6]Xi Zheng, Akanksha Bansal, Matthew Lease:
Bullseye: Structured Passage Retrieval and Document Highlighting for Scholarly Search. CoRR abs/1406.1875 (2014) - 2013
- [j5]Matthew Lease, Emine Yilmaz:
Crowdsourcing for information retrieval: introduction to the special issue. Inf. Retr. 16(2): 91-100 (2013) - [c48]Aniket Kittur, Jeffrey V. Nickerson, Michael S. Bernstein, Elizabeth Gerber, Aaron D. Shaw, John Zimmerman, Matt Lease, John J. Horton:
The future of crowd work. CSCW 2013: 1301-1318 - [c47]Aashish Sheshadri, Matthew Lease:
SQUARE: A Benchmark for Research on Computing Crowd Consensus. HCOMP 2013: 156-164 - [c46]Ripon K. Saha, Matthew Lease, Sarfraz Khurshid, Dewayne E. Perry:
Improving bug localization using structured information retrieval. ASE 2013: 345-355 - [c45]Aashish Sheshadri, Matthew Lease:
SQUARE: Benchmarking Crowd Consensus at MediaEval. MediaEval 2013 - [c44]Mark D. Smucker, Gabriella Kazai, Matthew Lease:
Overview of the TREC 2013 Crowdsourcing Track. TREC 2013 - [i5]Donna Vakharia, Matthew Lease:
Beyond AMT: An Analysis of Crowd Work Platforms. CoRR abs/1310.1672 (2013) - [i4]Hyun Joon Jung, Matthew Lease:
Crowdsourced Task Routing via Matrix Factorization. CoRR abs/1310.5142 (2013) - 2012
- [c43]