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Sam Thomson
Sam Thomson
Microsoft
Подтвержден адрес электронной почты в домене microsoft.com - Главная страница
Название
Процитировано
Процитировано
Год
Neural Motifs: Scene Graph Parsing with Global Context
R Zellers, M Yatskar, S Thomson, Y Choi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
10862018
A Discriminative Graph-Based Parser for the Abstract Meaning Representation
J Flanigan, S Thomson, J Carbonell, C Dyer, NA Smith
ACL, 2014
4022014
Toward Abstractive Summarization Using Semantic Representations
F Liu, J Flanigan, S Thomson, N Sadeh, NA Smith
3622015
Constrained Language Models Yield Few-Shot Semantic Parsers
R Shin, C Lin, S Thomson, C Chen, S Roy, EA Platanios, A Pauls, D Klein, ...
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
182*2021
Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold
S Swayamdipta, S Thomson, C Dyer, NA Smith
arXiv preprint arXiv:1706.09528, 2017
1502017
Deep Multitask Learning for Semantic Dependency Parsing
H Peng, S Thomson, NA Smith
arXiv preprint arXiv:1704.06855, 2017
1502017
Task-Oriented Dialogue as Dataflow Synthesis
J Andreas, J Bufe, D Burkett, C Chen, J Clausman, J Crawford, K Crim, ...
Transactions of the Association for Computational Linguistics 8, 556-571, 2020
145*2020
Syntactic Scaffolds for Semantic Structures
S Swayamdipta, S Thomson, K Lee, L Zettlemoyer, C Dyer, NA Smith
arXiv preprint arXiv:1808.10485, 2018
1192018
Frame-Semantic Role Labeling with Heterogeneous Annotations
M Kshirsagar, S Thomson, N Schneider, J Carbonell, NA Smith, C Dyer
people 3, A0, 2015
852015
Learning Joint Semantic Parsers from Disjoint Data
H Peng, S Thomson, S Swayamdipta, NA Smith
arXiv preprint arXiv:1804.05990, 2018
712018
Compositional Generalization for Neural Semantic Parsing via Span-Level Supervised Attention
P Yin, H Fang, G Neubig, A Pauls, EA Platanios, Y Su, S Thomson, ...
Association for Computational Linguistics (ACL), 2021
552021
Backpropagating through Structured Argmax using a SPIGOT
H Peng, S Thomson, NA Smith
arXiv preprint arXiv:1805.04658, 2018
482018
Rational Recurrences
H Peng, R Schwartz, S Thomson, NA Smith
arXiv preprint arXiv:1808.09357, 2018
462018
SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines
R Schwartz, S Thomson, NA Smith
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
412018
Value-Agnostic Conversational Semantic Parsing
EA Platanios, A Pauls, S Roy, Y Zhang, A Kyte, A Guo, S Thomson, ...
Association for Computational Linguistics, 2021
18*2021
Benchclamp: A benchmark for evaluating language models on syntactic and semantic parsing
S Roy, S Thomson, T Chen, R Shin, A Pauls, J Eisner, B Van Durme
Advances in Neural Information Processing Systems 36, 2024
15*2024
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing
S Thomson, B O’Connor, J Flanigan, D Bamman, J Dodge, ...
SemEval 2014, 176, 2014
132014
Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue
J Zhou, J Eisner, M Newman, EA Platanios, S Thomson
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
62022
When More Data Hurts: A Troubling Quirk in Developing Broad-coverage Natural Language Understanding Systems
E Stengel-Eskin, EA Platanios, A Pauls, S Thomson, H Fang, ...
arXiv preprint arXiv:2205.12228, 2022
32022
Encoding and Decoding Graph Representations of Natural Language
S Thomson
Carnegie Mellon University, 2019
32019
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Статьи 1–20