Hi, I am Sebastian and I am a Ph.D. candidate in Computer Science. I am working on methods that allow humans and machine learning models to collaborate in semantically meaningful ways. My academic advisors are Barbara Grosz and Sasha Rush. I am primarily working with the Harvard NLP Group, and sometimes the Intelligent Interactive Systems Group.
I am supported by an Adobe Research Fellowship and have previsously interned at the Bruno Kessler Foundation, at IBM Research, and at Adobe Research. For more information about me, you can have a look at my CV (last updated March '19). For an up-to-date list of publications, check out my google scholar.
Feel free to contact me with requests for discussions, questions about my research or whatever you feel the need of talking to me about. My email-address is my_last_name (at) seas.harvard.edu or you can follow me on twitter @SebGehr.
- End-to-End Content and Plan Selection for Data-to-Text Generation
- Bottom-up abstractive summarization
- Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
- End-to-End Content and Plan Selection for Natural Language Generation
- LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
- Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives