Lora Aroyo

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 91

Top Venues

CoRR

WWW (Companion Volume)

LREC

AI Mag.

Publications

Nitisha Jain, Mubashara Akhtar, Joan Giner-Miguelez, Rajat Shinde, Joaquin Vanschoren, Steffen Vogler, Subhra S. Goswami, Yuhan Rao, Tim Santos, Luis Oala, Michalis Karamousadakis, Manil Maskey, Pierre Marcenac, Costanza Conforti, Michael Kuchnik, Lora Aroyo, Omar Benjelloun, Elena Simperl
A Standardized Machine-readable Dataset Documentation Format for Responsible AI. CoRR (2024)
Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Aida Mostafazadeh Davani, Alicia Parrish, Alex S. Taylor, Mark Diaz, Ding Wang, Gregory Serapio-García
GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives. NAACL-HLT (2024)
Jessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin Van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. CoRR (2024)
Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR (2024)
Jessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin Van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. FAccT (2024)
Lora Aroyo, Mark Diaz, Christopher Homan, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang
The Reasonable Effectiveness of Diverse Evaluation Data. CoRR (2023)
Mohammad Tahaei, Marios Constantinides, Daniele Quercia, Sean Kennedy, Michael J. Muller, Simone Stumpf, Q. Vera Liao, Ricardo Baeza-Yates, Lora Aroyo, Jess Holbrook, Ewa Luger, Michael Madaio, Ilana Golbin Blumenfeld, Maria De-Arteaga, Jessica Vitak, Alexandra Olteanu
Human-Centered Responsible Artificial Intelligence: Current & Future Trends. CoRR (2023)
Lora Aroyo, Alex S. Taylor, Mark Diaz, Christopher M. Homan, Alicia Parrish, Greg Serapio-Garcia, Vinodkumar Prabhakaran, Ding Wang
DICES Dataset: Diversity in Conversational AI Evaluation for Safety. CoRR (2023)
Mohammad Tahaei, Marios Constantinides, Daniele Quercia, Sean Kennedy, Michael J. Muller, Simone Stumpf, Q. Vera Liao, Ricardo Baeza-Yates, Lora Aroyo, Jess Holbrook, Ewa Luger, Michael Madaio, Ilana Golbin Blumenfeld, Maria De-Arteaga, Jessica Vitak, Alexandra Olteanu
Human-Centered Responsible Artificial Intelligence: Current & Future Trends. CHI Extended Abstracts (2023)
Christopher M. Homan, Greg Serapio-Garcia, Lora Aroyo, Mark Diaz, Alicia Parrish, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang
Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety. CoRR (2023)
Bhaktipriya Radharapu, Kevin Robinson, Lora Aroyo, Preethi Lahoti
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications. EMNLP (Industry Track) (2023)
Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS (2023)
Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm, Lora Aroyo, Michael Collins, Dipanjan Das, Slav Petrov, Gaurav Singh Tomar, Iulia Turc, David Reitter
Measuring Attribution in Natural Language Generation Models. Comput. Linguistics 49 (4) (2023)
Bhaktipriya Radharapu, Kevin Robinson, Lora Aroyo, Preethi Lahoti
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications. CoRR (2023)
Shira Wein, Christopher Homan, Lora Aroyo, Chris Welty
Follow the leader(board) with confidence: Estimating p-values from a single test set with item and response variance. ACL (Findings) (2023)
Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Alicia Parrish, Alex S. Taylor, Mark Díaz, Ding Wang
A Framework to Assess (Dis)agreement Among Diverse Rater Groups. CoRR (2023)
Lora Aroyo, Alex S. Taylor, Mark Díaz, Christopher Homan, Alicia Parrish, Gregory Serapio-García, Vinodkumar Prabhakaran, Ding Wang
DICES Dataset: Diversity in Conversational AI Evaluation for Safety. NeurIPS (2023)
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 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 (2023)
Oana Inel, Tim Draws, Lora Aroyo
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection. CoRR (2023)
Alicia Parrish, Sarah Laszlo, Lora Aroyo
"Is a picture of a bird a bird": Policy recommendations for dealing with ambiguity in machine vision models. CoRR (2023)
Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Max Bartolo, Oana Inel, Juan Ciro, Rafael Mosquera, Addison Howard, Will Cukierski, D. Sculley, Vijay Janapa Reddi, Lora Aroyo
Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models. CoRR (2023)
Oana Inel, Lora Aroyo
Fine-tuning machine confidence with human relevance for video discovery. Interactions 29 (4) (2022)
Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, YaGuang Li, Hongrae Lee, Huaixiu Steven Zheng, Amin Ghafouri, Marcelo Menegali, Yanping Huang, Maxim Krikun, Dmitry Lepikhin, James Qin, Dehao Chen, Yuanzhong Xu, Zhifeng Chen, Adam Roberts, Maarten Bosma, Yanqi Zhou, Chung-Ching Chang, Igor Krivokon, Will Rusch, Marc Pickett, Kathleen S. Meier-Hellstern, Meredith Ringel Morris, Tulsee Doshi, Renelito Delos Santos, Toju Duke, Johnny Soraker, Ben Zevenbergen, Vinodkumar Prabhakaran, Mark Diaz, Ben Hutchinson, Kristen Olson, Alejandra Molina, Erin Hoffman-John, Josh Lee, Lora Aroyo, Ravi Rajakumar, Alena Butryna, Matthew Lamm, Viktoriya Kuzmina, Joe Fenton, Aaron Cohen, Rachel Bernstein, Ray Kurzweil, Blaise Aguera-Arcas, Claire Cui, Marian Croak, Ed Chi, Quoc Le
LaMDA: Language Models for Dialog Applications. CoRR (2022)
Chris Welty, Lora Aroyo, Flip Korn, Sara M. McCarthy, Shubin Zhao
Addressing Label Sparsity With Class-Level Common Sense for Google Maps. Frontiers Artif. Intell. 5 (2022)
Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
DataPerf: Benchmarks for Data-Centric AI Development. CoRR (2022)
Lora Aroyo, Matthew Lease, Praveen K. Paritosh, Mike Schaekermann
Data excellence for AI: why should you care? Interactions 29 (2) (2022)
Christopher Homan, Tharindu Cyril Weerasooriya, Lora Aroyo, Chris Welty
Annotator Response Distributions as a Sampling Frame. NLPerspectives@LREC (2022)
Ka Wong, Praveen K. Paritosh, Lora Aroyo
Cross-replication Reliability - An Empirical Approach to Interpreting Inter-rater Reliability. ACL/IJCNLP (1) (2021)
Chris Welty, Lora Aroyo, Flip Korn, Sara M. McCarthy, Shubin Zhao
Rapid Instance-Level Knowledge Acquisition for Google Maps from Class-Level Common Sense. HCOMP (2021)
Ka Wong, Praveen K. Paritosh, Lora Aroyo
Cross-replication Reliability - An Empirical Approach to Interpreting Inter-rater Reliability. CoRR (2021)
Lora Aroyo, Matthew Lease, Praveen K. Paritosh, Mike Schaekermann
Data Excellence for AI: Why Should You Care. CoRR (2021)
Nithya Sambasivan, Shivani Kapania, Hannah Highfill, Diana Akrong, Praveen K. Paritosh, Lora Aroyo
"Everyone wants to do the model work, not the data work": Data Cascades in High-Stakes AI. CHI (2021)
Anca Dumitrache, Oana Inel, Benjamin Timmermans, Carlos Martinez-Ortiz, Robert-Jan Sips, Lora Aroyo, Chris Welty
Empirical methodology for crowdsourcing ground truth. Semantic Web 12 (3) (2021)
Oana Inel, Nava Tintarev, Lora Aroyo
Eliciting User Preferences for Personalized Explanations for Video Summaries. CoRR (2020)
Lora Aroyo, Franciska de Jong, Eero Hyvönen, Sara Tonelli
Web Semantics for Digital Humanities. J. Web Semant. (2020)
Mike Schaekermann, Christopher Homan, Lora Aroyo, Praveen K. Paritosh, Kurt D. Bollacker, Chris Welty
The AI Bookie - Place Your Bets: Will Machine Learning Outgrow Human Labeling? AI Mag. 41 (4) (2020)
Oana Inel, Nava Tintarev, Lora Aroyo
Eliciting User Preferences for Personalized Explanations for Video Summaries. UMAP (2020)
Anca Dumitrache, Lora Aroyo, Chris Welty
A Crowdsourced Frame Disambiguation Corpus with Ambiguity. NAACL-HLT (1) (2019)
Lora Aroyo, Anca Dumitrache, Oana Inel, Zoltán Szlávik, Benjamin Timmermans, Chris Welty
Crowdsourcing Inclusivity: Dealing with Diversity of Opinions, Perspectives and Ambiguity in Annotated Data. WWW (Companion Volume) (2019)
Chris Welty, Lora Aroyo, Eric Horvitz
The AI Bookie The Future of Voice Interfaces to Intelligent Assistants. AI Mag. 40 (1) (2019)
Lora Aroyo, Lucas Dixon, Nithum Thain, Olivia Redfield, Rachel Rosen
Crowdsourcing Subjective Tasks: The Case Study of Understanding Toxicity in Online Discussions. WWW (Companion Volume) (2019)
Oana Inel, Lora Aroyo
Validation Methodology for Expert-Annotated Datasets: Event Annotation Case Study. LDK (2019)
Chris Dijkshoorn, Victor de Boer, Lora Aroyo, Guus Schreiber
Accurator: Nichesourcing for Cultural Heritage. Hum. Comput. 6 (2019)
Anca Dumitrache, Lora Aroyo, Chris Welty
A Crowdsourced Frame Disambiguation Corpus with Ambiguity. CoRR (2019)
Chris Welty, Praveen K. Paritosh, Lora Aroyo
Metrology for AI: From Benchmarks to Instruments. CoRR (2019)
Chris Dijkshoorn, Lizzy Jongma, Lora Aroyo, Jacco van Ossenbruggen, Guus Schreiber, Wesley ter Weele, Jan Wielemaker
The Rijksmuseum collection as Linked Data. Semantic Web 9 (2) (2018)
Oana Inel, Giannis Haralabopoulos, Dan Li, Christophe Van Gysel, Zoltán Szlávik, Elena Simperl, Evangelos Kanoulas, Lora Aroyo
Studying Topical Relevance with Evidence-based Crowdsourcing. CIKM (2018)
Sven van den Beukel, Lora Aroyo
Homonym Detection For Humor Recognition In Short Text. WASSA@EMNLP (2018)
Anca Dumitrache, Oana Inel, Lora Aroyo, Benjamin Timmermans, Chris Welty
CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement. CoRR (2018)
Chantal van Son, Oana Inel, Roser Morante, Lora Aroyo, Piek Vossen
Resource Interoperability for Sustainable Benchmarking: The Case of Events. LREC (2018)
Anca Dumitrache, Oana Inel, Benjamin Timmermans, Carlos Martinez-Ortiz, Robert-Jan Sips, Lora Aroyo, Chris Welty
Empirical Methodology for Crowdsourcing Ground Truth. CoRR (2018)
Anca Dumitrache, Oana Inel, Lora Aroyo, Benjamin Timmermans, Chris Welty
CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement (short paper). SAD/CrowdBias@HCOMP (2018)
Oana Inel, Sabrina Sauer, Lora Aroyo
A Study of Narrative Creation by Means of Crowds and Niches. HCOMP (WIP&Demo) (2018)
Chris Dijkshoorn, Lora Aroyo, Jacco van Ossenbruggen, Guus Schreiber
Modeling cultural heritage data for online publication. Appl. Ontology 13 (4) (2018)
Lora Aroyo, Gianluca Demartini, Anna Lisa Gentile, Chris Welty
Augmenting Intelligence with Humans-in-the-Loop (HumL@WWW2018) Chairs' Welcome & Organization. WWW (Companion Volume) (2018)
Anca Dumitrache, Lora Aroyo, Chris Welty
Crowdsourcing Ground Truth for Medical Relation Extraction. ACM Trans. Interact. Intell. Syst. 8 (2) (2018)
Anca Dumitrache, Lora Aroyo, Chris Welty
Crowdsourcing Semantic Label Propagation in Relation Classification. CoRR (2018)
Markus de Jong, Panagiotis Mavridis, Lora Aroyo, Alessandro Bozzon, Jesse de Vos, Johan Oomen, Antoaneta Dimitrova, Alec Badenoch
CaptureBias: Supporting Media Scholars with Ambiguity-Aware Bias Representation for News Videos (short paper). SAD/CrowdBias@HCOMP (2018)
Roeland Ordelman, Carlos Martinez-Ortiz, Liliana M. Melgar Estrada, Marijn Koolen, Jaap Blom, Willem Melder, Jasmijn van Gorp, Victor de Boer, Themistoklis Karavellas, Lora Aroyo, Thomas Poell, Norah Karrouche, Eva Baaren, Johannes Wassenaar, Julia Noordegraaf, Oana Inel
Challenges in Enabling Mixed Media Scholarly Research with Multi-media Data in a Sustainable Infrastructure. DH (2018)
Marta Sabou, Lora Aroyo, Kalina Bontcheva, Alessandro Bozzon, Rehab K. Qarout
Semantic Web and Human Computation: The status of an emerging field. Semantic Web 9 (3) (2018)
Chantal van Son, Roser Morante, Lora Aroyo, Piek Vossen
Scoring and Classifying Implicit Positive Interpretations: A Challenge of Class Imbalance. COLING (2018)
Davide Ceolin, Jacco van Ossenbruggen, Lora Aroyo, Ozkan Sener, Robin Sharma, Lesia Tkacz, Julia Noordegraaf
Assessing and Visualising Online Information Quality. eScience (2018)
Panagiotis Mavridis, Markus de Jong, Lora Aroyo, Alessandro Bozzon, Jesse de Vos, Johan Oomen, Antoaneta Dimitrova, Alec Badenoch
A Human in the Loop Approach to Capture Bias and Support Media Scientists in News Video Analysis (short paper). SAD/CrowdBias@HCOMP (2018)
Anca Dumitrache, Lora Aroyo, Chris Welty
Capturing Ambiguity in Crowdsourcing Frame Disambiguation. HCOMP (2018)
Lora Aroyo, Chris Welty
The Quantum Collective. WWW (Companion Volume) (2018)
Anca Dumitrache, Lora Aroyo, Chris Welty
Capturing Ambiguity in Crowdsourcing Frame Disambiguation. CoRR (2018)
Anca Dumitrache, Lora Aroyo, Chris Welty
Crowdsourcing Semantic Label Propagation in Relation Classification. FEVER@EMNLP (2018)
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) (2018)
Benjamin Timmermans, Tobias Kuhn, Kaspar Beelen, Lora Aroyo
Computational Controversy. SocInfo (2) (2017)
Oana Inel, Lora Aroyo
Harnessing Diversity in Crowds and Machines for Better NER Performance. ESWC (1) (2017)
Anca Dumitrache, Lora Aroyo, Chris Welty
Crowdsourcing Ground Truth for Medical Relation Extraction. CoRR (2017)
Jessie Both, Didi de Hooge, Ramses IJff, Oana Inel, Victor de Boer, Lora Aroyo
Linking Dutch World War II Cultural Heritage Collections with Events Extracted by Machines and Crowds. SEMANTiCS Workshops (2017)
Valentina Maccatrozzo, Eveline van Everdingen, Lora Aroyo, Guus Schreiber
, likes Serendipity. UMAP (Adjunct Publication) (2017)
Valentina Maccatrozzo, Manon Terstall, Lora Aroyo, Guus Schreiber
SIRUP: Serendipity In Recommendations via User Perceptions. IUI (2017)
Anca Dumitrache, Lora Aroyo, Chris Welty
False Positive and Cross-relation Signals in Distant Supervision Data. CoRR (2017)
Chris Dijkshoorn, Victor de Boer, Lora Aroyo, Guus Schreiber
Accurator: Nichesourcing for Cultural Heritage. CoRR (2017)
Justin Verhulst, Oana Inel, Victor de Boer, Lora Aroyo
Optimizing Explorative Search for the Needs of Media Professionals: The DIVE+ Use Case. SEMANTiCS Workshops (2017)
Benjamin Timmermans, Tobias Kuhn, Kaspar Beelen, Lora Aroyo
Computational Controversy. CoRR (2017)
Anca Dumitrache, Lora Aroyo, Chris Welty
False Positive and Cross-relation Signals in Distant Supervision Data. AKBC@NIPS (2017)
Riste Gligorov, Michiel Hildebrand, Jacco van Ossenbruggen, Lora Aroyo, Guus Schreiber
Topical Video Search: Analysing Video Concept Annotation through Crowdsourcing Games. Hum. Comput. 4 (1) (2017)
Pasquale De Meo, Katarzyna Musial-Gabrys, Domenico Rosaci, Giuseppe M. L. Sarnè, Lora Aroyo
Using Centrality Measures to Predict Helpfulness-Based Reputation in Trust Networks. ACM Trans. Internet Techn. 17 (1) (2017)
Victor de Boer, Liliana Melgar, Oana Inel, Carlos Martinez-Ortiz, Lora Aroyo, Johan Oomen
Enriching Media Collections for Event-Based Exploration. MTSR (2017)
Kim van Putten, Oana Inel, Victor de Boer, Lora Aroyo
Event Extraction From Radio News Bulletins. SEMANTiCS Workshops (2017)
Chantal van Son, Tommaso Caselli, Antske Fokkens, Isa Maks, Roser Morante, Lora Aroyo, Piek Vossen
GRaSP: A Multilayered Annotation Scheme for Perspectives. LREC (2016)
Davide Ceolin, Julia Noordegraaf, Lora Aroyo
Capturing the Ineffable: Collecting, Analysing, and Automating Web Document Quality Assessments. EKAW (2016)
Oana Inel, Tommaso Caselli, Lora Aroyo
Crowdsourcing Salient Information from News and Tweets. LREC (2016)
Emiel van Miltenburg, Benjamin Timmermans, Lora Aroyo
The VU Sound Corpus: Adding More Fine-grained Annotations to the Freesound Database. LREC (2016)
Davide Ceolin, Julia Noordegraaf, Lora Aroyo, Chantal van Son
Towards web documents quality assessment for digital humanities scholars. WebSci (2016)
Davide Ceolin, Lora Aroyo, Julia Noordegraaf
Identifying and Classifying Uncertainty Layers in Web Document Quality Assessment. URSW@ISWC (2016)
Zhaochun Ren, Oana Inel, Lora Aroyo, Maarten de Rijke
Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams. CIKM (2016)
Chantal van Son, Tommaso Caselli, Antske Fokkens, Isa Maks, Roser Morante, Lora Aroyo, Piek Vossen
Unshared Task at the 3rd Workshop on Argument Mining: Perspective Based Local Agreement and Disagreement in Online Debate. ArgMining@ACL (2016)
Victor de Boer, Johan Oomen, Oana Inel, Lora Aroyo, Elco van Staveren, Werner Helmich, Dennis de Beurs
DIVE into the event-based browsing of linked historical media. J. Web Semant. 35 (2015)
Anca Dumitrache, Lora Aroyo, Chris Welty
CrowdTruth Measures for Language Ambiguity: The Case of Medical Relation Extraction. LD4IE@ISWC (2015)
Jasper Oosterman, Jie Yang, Alessandro Bozzon, Lora Aroyo, Geert-Jan Houben
On the impact of knowledge extraction and aggregation on crowdsourced annotation of visual artworks. Comput. Networks 90 (2015)
Anca Dumitrache, Lora Aroyo, Chris Welty
Achieving Expert-Level Annotation Quality with CrowdTruth: The Case of Medical Relation Extraction. BDM2I@ISWC (2015)
Liliana Ardissono, Cristina Gena, Lora Aroyo, Tsvika Kuflik, Alan J. Wecker, Johan Oomen, Oliviero Stock
PATCH 2015: Personalized Access to Cultural Heritage. IUI (2015)
Carlos Martinez-Ortiz, Lora Aroyo, Oana Inel, Stavros Champilomatis, Anca Dumitrache, Benjamin Timmermans
Provenance-driven Representation of Crowdsourcing Data for Efficient Data Analysis. e-Science (2015)
Lora Aroyo, Chris Welty
Truth Is a Lie: Crowd Truth and the Seven Myths of Human Annotation. AI Mag. 36 (1) (2015)
Benjamin Timmermans, Lora Aroyo, Chris Welty
Crowdsourcing ground truth for Question Answering using CrowdTruth. WebSci (2015)
Jasper Oosterman, Archana Nottamkandath, Chris Dijkshoorn, Alessandro Bozzon, Geert-Jan Houben, Lora Aroyo
Crowdsourcing knowledge-intensive tasks in cultural heritage. WebSci (2014)

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Publication Activity (10 Years)

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Lora Aroyo