Dr. Lucie Flekova

Welcome to my homepage! On this site you will find information on my research, publications and current activities. For any related requests, such as invited talks or academic service, please feel free to contact me. Enjoy your visit!

News / current activities

July 2019 Invited talk at the L3S Research Center at Leibniz University Hannover

June 2019 Member of the Program Committee of EMNLP 2019 for the Social Media and Computational Social Science track

April 2019 Invited talk at the Computational Social Sciences group at RWTH

April 2019 Speaking about cross-lingual transfer learning on Alexa at the Women in Data Science conference

Jan 2019 Member of the Program Committee of the 4th Workshop on Representation Learning for NLP at ACL 2019

Jan 2019 Member of the Program Committee of Narrative Understanding workshop at NAACL 2019

Jan 2019 Member of the Program Committee of Gender Bias in NLP workshop at ACL 2019

Dec 2018 Member of the Program Committee of NAACL-HLT 2019 for Bias/Fairness/Ethics track

Dec 2018 Our paper Impact of Actively Open-minded Thinking on Social Media Communication" with UPenn Positive Psychology Center is published in the Judgement and Decision Making journal! Actively Open-Minded Thinking associated with benefits both in responding to and at creating social media content.

Nov 2018 Presenting our UCL paper Changes in Psycholinguistic Attributes of Social Media Users Before, During, and After Self-Reported Influenza Symptoms" at EMNLP 2018 SMM4H Workshop in Brussels, Belgium.

Sep 2018 Member of the Program Committee of AAAI 2019. Taking place in Honolulu this year, the conference received 7745 submissions, twice as many as AAAI 2018. Will be fun reviewing.

Jul 2018 Invited talk "Stylistic variation: Applications, limitations and risks" at the Knowledge Media Institute in Milton Keynes, UK.

Jun 2018 Presenting our Alexa paper Selecting Machine-Translated Data for Quick Bootstrapping of a Natural Language Understanding System at NAACL 2018 in New Orleans, USA.

Jun 2018 Main organizer of the 2nd Workshop on Stylistic Variation at NAACL 2018 in New Orleans. Enabling a discussion of shared issues across the many instantiations of stylistic difference across research fields. Featuring fascinating speakers such as Prof. Jamie Pennebaker, Prof. Rada Mihalcea or Prof. Barbara Plank. Pass by!

May 2018 Member of the Program Committee of the 3rd Workshop on Representation Learning for NLP

May 2018 Time for a bit of work-life balance! Completed the 800 km Camino de Santiago in 23 days, on a mindblowing spiritual journey.

Apr 2018 Our book chapter Content-based Analysis and Visualization of Story Complexity with UKP Lab in Darmstadt and University of Konstanz has been published in Visualisierung sprachlicher Daten

Apr 2018 Organized a workshop on bootstrapping machine learning systems for new languages and domains at the Amazon Machine Learning Conference in Seattle. The conference attracted thousands of tech employees, with three digit participation in the workshop.

Mar 2018 Member of the Program Committee of ACL 2018.

Dec 2017 Member of the Program Committee of NAACL-HLT 2018

Nov 2017 Member of the Program Committee of NIPS 2017 Learning from Limited Data workshop.

Oct 2017 Honored to be selected to the Organization Board of the Widening NLP diversity event at NAACL 2018 in New Orleans. We are looking for travel grant sponsors and student mentors! Get in touch if you are interested! Read more at the Alexa blog

Sep 2017 Opened a 'Deep Learning for NLP' evening class at the Amazon Machine Learning University for tech employees.

Jul 2017 Presenting our poster "Annotator Traits Impact Crowdsourced Assessment of other Users" at the International Conference on Computational Social Science (IC2S2) in Cologne, Germany. Looking forward to catching up with the Computational Social Sciences community!

(Older news are archived)

 

Selected publications

2018

J. Carpenter, D. Preotiuc-Pietro, L. Flekova, J. Clark, L. Smith, M. L. Kern, A. Buffone, L. Ungar, M. Seligman: The impact of actively open-minded thinking on social media communication, Judgment and Decision Making. Vol. 13/6, p. 562-574, November 2018

L. Flekova, V. Lampos, I. J. Cox: Changes in psycholinguistic attributes of social media users before, during, and after self-reported influenza symptoms, Proceedings of the 3rd Social Media Mining for Health Applications Workshop, p. 17-21, Association for Computational Linguistics, 2018.

J. Brooke, L. Flekova, M. Koppel, T. Solorio : Proceedings of the Second Workshop on Stylistic Variation, ISBN 978- 1-948087-24-7, Association for Computational Linguistics, 2018.

L. Flekova, F. Stoffel, I. Gurevych, D. A. Keim: Content-based Analysis and Visualization of Story Complexity, . In: N. Bubenhofer (Ed.): Visual Linguistics. Heidelberg University Publishing, p. 185--223, DOI: 10.17885/heiup.345.474 , 2018.

X. S. Vu, L. Flekova, L. Jiang, I. Gurevych: Lexical-semantic resources: yet powerful resources for automatic personality classification, Proceedings of the 9th Global WordNet Conference (GWC 2018), p 173–182, Singapore, ISBN 978-981-11-7087-4, January 2018.

2017

L. Flekova, M. Schott: Fast Precision Reconstruction of Micropattern Detector Signals via Convolutional Neural Networks. Journal of Physics: Conference Series, Vol. 898, No. 3, p. 032054. IOP Publishing. 2017

L. Flekova: Leveraging Lexical-Semantic Knowledge for Text Classification Tasks, PhD Thesis, 2017, Technische Universität Darmstadt

J. Carpenter, D. Preotiuc-Pietro, L. Flekova, S. Giorgi, C. Hagan, M. L. Kern, A. Buffone, L. Ungar, M. Seligman: Real men don’t say “cute”: Using automatic language analysis to isolate inaccurate aspects of stereotypes. Social Psychological and Personality Science, SPPS. Vol. 8/3, p. 310-322, April 2017

2016

L. Flekova, I. Gurevych: Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction and Utilization In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), vol.1, 2016, p. 2029-2041

L. Flekova, D. P. Pietro, L. Ungar: Exploring Stylistic Variation with Age and Income on Twitter. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), vol.2, 2016, p.313-319

L. Flekova, S. Giorgi, J. Carpenter, D. P. Pietro, L. Ungar: Analyzing Biases in Human Perception of User Age and Gender from Text. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), vol.1, 2016, p. 843-854

P. Lerner, A. Csanadi, J.Daxenberger, L. Flekova, C. Ghanem, I. Kollar, F. Fischer and I. Gurevych: A User Interface for the Exploration of Manually and Automatically Coded Scientific Reasoning and Argumentation. In: Proceedings of the 12th International Conference of the Learning Sciences, 2016

2015

L. Flekova, T. Sousa, M. Mieskes, I.Gurevych. Document-level School Lesson Quality Classification Based on German Transcripts. Journal for Language Technology and Computational Linguistics, vol. 30, no. 1, p. 99-124, ISSN 2190-6858. 2015

F. Stoffel, L. Flekova, D. Oelke, I. Gurevych, and D. A. Keim: Feature-Based Visual Exploration of Text Classification. In: Proceedings of the Symposium on Visualization in Data Science (VDS) at IEEE VIS 2015

L. Flekova, S. Giorgi, J. Carpenter, D. P. Pietro, L. Ungar: Analyzing Crowdsourced Assessment of User Traits through Twitter Posts In: Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing. HCOMP, November 2015

L. Flekova, E. Ruppert, D. P. Pietro: Analysing Domain Suitability of a Sentiment Lexicon by Identifying Distributionally Bipolar Words In: Association for Computational Linguistics: Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, p. 77-84, Association for Computational Linguistics, 2015.

L. Flekova, I. Gurevych: Personality Profiling of Fictional Characters using Sense-Level Links between Lexical Resources. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), p. 1805-1816, Association for Computational Linguistics, 2015.

T. Sousa, L. Flekova, M. Mieskes, I.Gurevych: Constructive Feedback, Thinking Process and Cooperation: Assessing the Quality of Classroom Interaction In: Interspeech 2015 - Towards a better understanding of the most important biosignal, Dresden, Sep. 2015

R. Ballou, G. Deferne, M. Finger Jr, M. Finger, L. Flekova, J. Hosek, S. Kunc, K. Macuchova, K.A. Meissner, P. Pugnat: New exclusion limits on scalar and pseudoscalar axionlike particles from light shining through a wall. Physical Review D, vol. 92 (9), p. 092002-1 – 6, American Physical Society, 2015

2014 and earlier

L. Flekova, O. Ferschke, I. Gurevych: What Makes a Good Biography? Multidimensional Quality Analysis Based on Wikipedia Article Feedback Data. In: Proceedings of the 23rd International World Wide Web Conference (WWW 2014), p. 855-866, International World Wide Web Conferences Steering Committee, April 2014.

L. Flekova, O. Ferschke, I. Gurevych: UKPDIPF: A Lexical Semantic Approach to Sentiment Polarity Prediction on Twitter Data. In: Preslav Nakov and Torsten Zesch: SemEval-2014 Task 9: Sentiment Analysis in Twitter, Proceedings of the 8th International Workshop on Semantic Evaluation, p.704-710, Dublin City University, 2014

L. Flekova, I. Gurevych: Can We Hide in the Web? Large Scale Simultaneous Age and Gender Author Profiling in Social Media, CLEF 2013 Labs and Workshop Papers, 2013.

P. Pugnat, R. Ballou, M. Schott, T. Husek, M. Sulc, G. Deferne, L. Duvillaret, M. Finger, L. Flekova, J. Hosek: Search for weakly interacting sub-eV particles with the OSQAR laser-based experiment: results and perspectives, The European Physics Journal C, Vol. 74 (8), Springer, 2014, ISSN 1434-6044. p 1-7.

M. Sulc, P. Pugnat, R. Ballou, M. Schott, T. Husek, G. Deferne, L. Duvillaret, M. Finger, L. Flekova, J. Hosek, T. Husek: Axion search by laser-based experiment OSQAR. Nuclear Instruments and Methods in Physics Research Sec. A: Accelerators, Spectrometers, Detectors and Associated Equipment, 718, p. 530-532, 2013

M. Schott, P. Pugnat, R. Ballou, G. Deferne, L. Duvillaret, M. Finger, L. Flekova, J. Hosek, T. Husek, R. Jost: First Results of the Full-Scale OSQAR Photon Regeneration Experiment,arXiv preprint arXiv:1110.0774, 2011.

L. Flekova, V. Jary, T. Liska: Mass Data Processing Optimization on High Energy Physics Experiments, International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011),2011, ASME Press.

 

Short Bio

My research interests lie in machine learning applications in the field of Natural Language Processing (NLP), with a core expertise in the area of stylistic variation. I have been investigating how various individuals and sociodemographic groups differ in their language usage, and how this variation can be in return used in machine learning tasks to predict in-group behavior of interest. This also led me to a broader interest in the bias that the NLP field is subject to, in stereotype exaggeration, ethics issues, performance of machine learning models on underrepresented groups, and subsequently domain adaptation of the machine learning models.

On the methodological level, I have been focusing on lexical semantics - examining to which extent word ambiguity and context plays a role in document classification tasks. When is the provided context sufficient for the task at hand, following distributional hypothesis, and when does explicit word sense disambiguation, concept graphs or semantic ontologies become beneficial? Do these findings hold with the rise of deep learning architectures? Does explicitly supplied lexical semantic information still improve classification tasks in scenarios with limited training data?

I have been further pursuing the limited training data paradigm in industry, leading projects related to multilingual and multitask learning, as well as various other bootstrapping efforts for limited in-domain labeled data. I am a big fan of cross-disciplinary collaborations, publishing together with educational researchers, psychologists, sociologists, physicists, and visual analysts, among others.

Career history

2017 - present Research & Development Program Manager at Amazon Alexa AI

2017 Research Fellow at the University College London (UCL), Department of Computer Science

2015 Visiting Researcher at the University of Pennsylvania, USA

2012 - 2016 Doctoral Researcher at Ubiquitous Knowledge Processing Lab, Technische Universität Darmstadt. Thesis: Leveraging Lexical-Semantic Knowledge for Text Classification Tasks (magna cum laude)

2011 - 2012 Digital Commerce Strategist at Google EMEA Headquarters, Dublin, Ireland

2013 Master of Economics (Ing.) from the University of Economics in Prague. Thesis: Legal aspects of international e-commerce on web search. (graded B)

2011 Master of Science (Ing.) from the Czech Technical University in Prague. Thesis: Big data processing optimization in high energy physics. (graded A)

2010 - 2011 Technical Fellow at the European Center for Nuclear Research (CERN)

2008 Summer Student at the European Center for Nuclear Research (CERN)

2007 - 2008 Exchange studies of Business Informatics at the University of Applied Sciences in Oulu, Finland

 

Miscellaneous

Datasets, source codes and pre-trained models from some of my PhD projects: UKP, Old GitHub (UKP Lab)

 

Contact

L (dot) mylastname (at) gmail (dot) com