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Abigail See
Researcher at Stanford University
Publications - 16
Citations - 4805
Abigail See is an academic researcher from Stanford University. The author has contributed to research in topics: Conversation & Computer science. The author has an hindex of 10, co-authored 14 publications receiving 3360 citations. Previous affiliations of Abigail See include University of Cambridge.
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Proceedings ArticleDOI
Get To The Point: Summarization with Pointer-Generator Networks
TL;DR: A novel architecture that augments the standard sequence-to-sequence attentional model in two orthogonal ways, using a hybrid pointer-generator network that can copy words from the source text via pointing, which aids accurate reproduction of information, while retaining the ability to produce novel words through the generator.
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Get To The Point: Summarization with Pointer-Generator Networks
TL;DR: This paper proposed a hybrid pointer-generator network that can copy words from the source text via pointing, which aids accurate reproduction of information, while retaining the ability to produce novel words through the generator.
Proceedings ArticleDOI
What makes a good conversation? How controllable attributes affect human judgments
TL;DR: This work examines two controllable neural text generation methods, conditional training and weighted decoding, in order to control four important attributes for chit-chat dialogue: repetition, specificity, response-relatedness and question-asking, and shows that by controlling combinations of these variables their models obtain clear improvements in human quality judgments.
Proceedings ArticleDOI
Compression of Neural Machine Translation Models via Pruning
TL;DR: It is shown that an NMT model with over 200 million parameters can be pruned by 40% with very little performance loss as measured on the WMT'14 English-German translation task.
Journal ArticleDOI
Improving alignment of dialogue agents via targeted human judgements
A. Glaese,Nathan McAleese,Maja Trkebacz,John Aslanides,Vlad Firoiu,Timo Ewalds,Maribeth Rauh,Laura Weidinger,Martin Chadwick,Phoebe Thacker,Lucy Campbell-Gillingham,Jonathan Uesato,Po-Sen Huang,Ramona Comanescu,Fan Yang,Abigail See,Sumanth Dathathri,Rory Greig,Charlie Chen,Doug Fritz,Jaume Sanchez Elias,Richard Green,Sona Mokra,Nicholas Fernando,Boxi Wu,Rachel Foley,Susannah Young,Iason Gabriel,William S. Isaac,John F. J. Mellor,Demis Hassabis,Koray Kavukcuoglu,Lisa Anne Hendricks,Geoffrey Irving +33 more
TL;DR: This research presents a state-of-the-art knowledge graph depicting the architecture of the connective tissue of the autonomic nervous system and some of the mechanisms responsible for seizure and depression are described.