Abigail See
Abigail See
PhD student, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Get to the point: Summarization with pointer-generator networks
A See, PJ Liu, CD Manning
Association for Computational Linguistics (ACL), 2017
14282017
Compression of neural machine translation models via pruning
A See, MT Luong, CD Manning
Computational Natural Language Learning (CoNLL), 2016
1222016
Ramsey vs. lexicographic termination proving
B Cook, A See, F Zuleger
International Conference on Tools and Algorithms for the Construction and …, 2013
1072013
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
782019
Do Massively Pretrained Language Models Make Better Storytellers?
A See, A Pappu, R Saxena, A Yerukola, CD Manning
Computational Natural Language Learning (CoNLL), 2019
412019
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction.
M Al-Badrashiny, J Bolton, AT Chaganty, K Clark, C Harman, L Huang, ...
TAC, 2017
132017
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
112014
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
32020
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
32017
Transformers and Pointer-Generator Networks for Abstractive Summarization
J Deaton, A Jacobs, K Kenealy, A See
12019
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Articles 1–10