Ana Valeria González

PhD student in Natural Language Processing at CoAStal and Data Scientist at BotXO

ABOUT ME


I'm a first year PhD student working at the University of Copenhagen under the supervision of Anders Søgaard and Isabelle Augenstein. ​ My research project deals with improving the quality of dialogue systems, specifically focusing on detecting and responding appropriately to emotion. I am also interested in the use of multitask learning methods and data reflecting cognitive processing (such as eye tracking data, eeg, keystroke, prosody, etc) as a way to improve on the current NLP systems.

In addition, I am a data scientist at BotXO, where I work on integrating NLP methods into chatbots aimed for business services. I completed my master's degree at the University of Copenhagen where I was supervised by Anders Søgaard and worked with eye tracking data and multitask learning methods in order to detect text difficulty. Before that, I studied cognitive science with a focus on systems neuroscience and language cognition at UCSD.

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EDUCATION





PhD. in Natural Language Processing and Machine Learning

University of Copenhagen

2018-2021

Supervisor: Anders Søgaard and Isabelle Augenstein
Project: Building emotionally Intelligent dialogue systems

M.Sc. in IT and Cognition

University of Copenhagen

2015-2017

Supervisor: Anders Søgaard
Thesis: Using Gaze to Predict Text Readability: The effects of Cognitive Data and Multi­task learning on Automatic Readability Assessment

B.Sc. in Mathematics

Universidad Abierta y a Distancia de México

2016-2021


B.Sc. in Cognitive Science / Spec. in Neuroscience

University of California, San Diego (UCSD)

2011-2015

EXPERIENCE





Data Scientist

BotXO

2018-Current

Currently working on the integration of NLP methods into chatbots aimed for business services. Partnership with the University of Copenhagen

Research Assistant

University of Copenhagen

2017

Work on many projects involving the use of Machine learning/Deep Learning algorithms for Natural Language Processing research. Projects include:Unsupervised Learning, cross­lingual grammatical error detection and evaluation of cross­lingual word embeddings

Research Assistant

University of Copenhagen

2016-2017

Data analysis at Brain Rehabilitation, Advanced Technology and Learning lab, a Cognitive Neuroscience laboratory at KU. Primarily involved in the extraction algorithms and the analysis of eye tracking data with the focus on studying children’s reading disabilities.