Abigail See
Abigail See
Research Scientist, DeepMind
Verified email at - Homepage
Cited by
Cited by
Get to the point: Summarization with pointer-generator networks
A See, PJ Liu, CD Manning
Association for Computational Linguistics (ACL), 2017
Improving alignment of dialogue agents via targeted human judgements
A Glaese, N McAleese, M Trębacz, J Aslanides, V Firoiu, T Ewalds, ...
arXiv preprint arXiv:2209.14375, 2022
What makes a good conversation? how controllable attributes affect human judgments
A See, S Roller, D Kiela, J Weston
North American Chapter of the Association for Computational Linguistics (NAACL), 2019
Compression of neural machine translation models via pruning
A See, MT Luong, CD Manning
Computational Natural Language Learning (CoNLL), 2016
Do Massively Pretrained Language Models Make Better Storytellers?
A See, A Pappu, R Saxena, A Yerukola, CD Manning
Computational Natural Language Learning (CoNLL), 2019
Ramsey vs. lexicographic termination proving
B Cook, A See, F Zuleger
Tools and Algorithms for the Construction and Analysis of Systems: 19th …, 2013
Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations
A Paranjape, A See, K Kenealy, H Li, A Hardy, P Qi, KR Sadagopan, ...
3rd Proceedings of Alexa Prize (Alexa Prize 2019), 2020
Understanding and predicting user dissatisfaction in a neural generative chatbot
A See, CD Manning
Special Interest Group on Discourse and Dialogue (SIGDIAL), 2021
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction.
M Al-Badrashiny, J Bolton, AT Chaganty, K Clark, C Harman, L Huang, ...
TAC, 2017
The cost of principles: analyzing power in compatibility weighted voting games
A See, Y Bachrach, P Kohli
Proceedings of the 2014 international conference on Autonomous agents and …, 2014
Neural generation meets real people: Building a social, informative open-domain dialogue agent
EA Chi, A Paranjape, A See, C Chiam, T Chang, K Kenealy, SK Lim, ...
arXiv preprint arXiv:2207.12021, 2022
Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph.
AT Chaganty, A Paranjape, J Bolton, M Lamm, J Lei, A See, K Clark, ...
TAC, 2017
Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation
R Tanno, D Barrett, A Sellergren, S Ghaisas, S Dathathri, A See, J Welbl, ...
Neural Generation of Open-Ended Text and Dialogue
A See
Stanford University, 2021
The system can't perform the operation now. Try again later.
Articles 1–14