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An important challenge for human-like AI is compositional semantics.
Connectionism and cognitive architecture: A critical analysis
Fodor, J. A., & Pylyshyn, Z. W. (1988) · 1988
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The pascal recognising textual entailment challenge
Dagan, I., Glickman, O., & Magnini, B. (2006) · 2006
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Natural language inference
MacCartney, B. (2009) · 2009
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Dynamic pooling and unfolding recursive autoencoders for paraphrase detection
Socher, R., Huang, E. H., Pennin, J., Manning, C. D., & Ng, A. Y. (2011) · 2011
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A sick cure for the evaluation of compositional distributional semantic models
Marelli, M., Menini, S., Baroni, M., Bentivogli, L., Bernardi, R., Zamparelli, R., et al. (2014) · 2014
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Glove: Global vectors for word representation
Pennington, J., Socher, R., & Manning, C. (2014) · 2014
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A large annotated corpus for learning natural language inference
Bowman, S. R., Angeli, G., Potts, C., & Manning, C. D. (2015) · 2015
Cited alongside, same era.
Phrase similarity in humans and machines
Gershman, S., & Tenenbaum, J. B. (2015) · 2015
Cited alongside, same era.
Skip-thought vectors
Kiros, R., Zhu, Y., Salakhutdinov, R. R., Zemel, R., Urtasun, R., Torralba, A., & Fidler, S. (2015) · 2015
Cited alongside, same era.
Learning Distributed Representations of Sentences from Unlabelled Data
Hill, F., Cho, K., & Korhonen, A. (2016) · 2016
Cited alongside, same era.
Most” babies” are” little” and most” problems” are” huge”: Compositional entailment in adjective-nouns
Pavlick, E., & Callison-Burch, C. (2016) · 2016
Cited alongside, same era.
Why should i trust you?: Explaining the predictions of any classifier
Ribeiro, M. T., Singh, S., & Guestrin, C. (2016) · 2016
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Conneau, A., Kiela, D., Schwenk, H., Barrault, L., & Bordes, A. (2017) · 2017
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Lake, B. M., & Baroni, M. (2017) · 2017
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Cognitive psychology for deep neural networks: A shape bias case study
Ritter, S., Barrett, D. G., Santoro, A., & Botvinick, M. M. (2017) · 2017
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Inference is everything: Recasting semantic resources into a unified evaluation framework
White, A. S., Rastogi, P., Duh, K., & Van Durme, B. (2017) · 2017
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Building machines that learn and think like people
Lake, B. M., Ullman, T. D., Tenenbaum, J. B., & Gershman, S. J. (2018) · 2018
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Cited alongside, same era.