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Question-Answering with Grammatically-Interpretable Representations

Question-Answering with Grammatically-Interpretable Representations

23 May 2017
Hamid Palangi
P. Smolensky
Xiaodong He
Li Deng
ArXivPDFHTML

Papers citing "Question-Answering with Grammatically-Interpretable Representations"

6 / 6 papers shown
Title
From Frege to chatGPT: Compositionality in language, cognition, and deep
  neural networks
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
Jacob Russin
Sam Whitman McGrath
Danielle J. Williams
Lotem Elber-Dorozko
AI4CE
73
3
0
24 May 2024
MRRC: Multiple Role Representation Crossover Interpretation for Image
  Captioning With R-CNN Feature Distribution Composition (FDC)
MRRC: Multiple Role Representation Crossover Interpretation for Image Captioning With R-CNN Feature Distribution Composition (FDC)
C. Sur
25
16
0
15 Feb 2020
HUBERT Untangles BERT to Improve Transfer across NLP Tasks
HUBERT Untangles BERT to Improve Transfer across NLP Tasks
M. Moradshahi
Hamid Palangi
M. Lam
P. Smolensky
Jianfeng Gao
21
16
0
25 Oct 2019
Discovering the Compositional Structure of Vector Representations with
  Role Learning Networks
Discovering the Compositional Structure of Vector Representations with Role Learning Networks
Paul Soulos
R. Thomas McCoy
Tal Linzen
P. Smolensky
CoGe
29
43
0
21 Oct 2019
RNNs Implicitly Implement Tensor Product Representations
RNNs Implicitly Implement Tensor Product Representations
R. Thomas McCoy
Tal Linzen
Ewan Dunbar
P. Smolensky
46
54
0
20 Dec 2018
emrQA: A Large Corpus for Question Answering on Electronic Medical
  Records
emrQA: A Large Corpus for Question Answering on Electronic Medical Records
Anusri Pampari
Preethi Raghavan
Jennifer J. Liang
Jian-wei Peng
11
201
0
03 Sep 2018
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