What year was the author who became a co-founder of ALANA AI born?
1979
Verena Rieser is the author of "From the Virtual to the RealWorld: A Crowd-Sourced Corpus of Human Generated and Evaluated Spatial References to Real-World Urban Scenes.". (2020). Mavina Nikandrou et al.: Task Formulation Matters When Learning Continually: A Case Study in Visual Question Answering. (2020). Verena Rieser et al.: A Corpus Collection and Annotation Framework for Learning Multimodal Clarification Strategies. (2005) authored by Verena Rieser. Emanuele Bastianelli et al.: SLURP: A Spoken Language Understanding Resource Package. (2020) authored by Verena Rieser. Marta Vallejo et al.: Evolving Optimal Spatial Allocation Policies for Complex and Uncertain Environments. (2013) authored by Verena Rieser is the author of Lu Yu et al.: Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment. (1923) and Gavin Abercrombie et al.: Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement.
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Question: What year was the author who became a co-founder of ALANA AI born?
Context: Verena Rieser is the author of "From the Virtual to the RealWorld: A Crowd-Sourced Corpus of Human Generated and Evaluated Spatial References to Real-World Urban Scenes.". (2020). Mavina Nikandrou et al.: Task Formulation Matters When Learning Continually: A Case Study in Visual Question Answering. (2020). Verena Rieser et al.: A Corpus Collection and Annotation Framework for Learning Multimodal Clarification Strategies. (2005) authored by Verena Rieser. Emanuele Bastianelli et al.: SLURP: A Spoken Language Understanding Resource Package. (2020) authored by Verena Rieser. Marta Vallejo et al.: Evolving Optimal Spatial Allocation Policies for Complex and Uncertain Environments. (2013) authored by Verena Rieser is the author of Lu Yu et al.: Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment. (1923) and Gavin Abercrombie et al.: Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement.
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