Evaluating Language Models for Knowledge Base Completion

Lenat, D.B.: Cyc: A large-scale investment in knowledge infrastructure. CACM (1995)

1995

Earlier work this paper cites.

Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.G.: DBpedia: A nucleus for a web of open data. ISWC (2007)

2007

Earlier work this paper cites.

Suchanek, F.M., Kasneci, G., Weikum, G.: Yago: a core of semantic knowledge. In: WWW (2007)

2007

Earlier work this paper cites.

Carlson, A., Betteridge, J., Kisiel, B., Settles, B., Hruschka, E.R., Mitchell, T.M.: Toward an architecture for never-ending language learning. In: AAAI (2010)

2010

Earlier work this paper cites.

Nickel, M., Tresp, V., Kriegel, H.P.: A three-way model for collective learning on multi-relational data. In: ICML (2011)

2011

Earlier work this paper cites.

Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. neurIPS (2013)

2013

Earlier work this paper cites.

Vrandečić, D., Krötzsch, M.: Wikidata: A free collaborative knowledge base. CACM (2014)

2014

Earlier work this paper cites.

Dettmers, T., Minervini, P., Stenetorp, P., Riedel, S.: Convolutional 2d knowledge graph embeddings. In: AAAI (2018)

2018

Earlier work this paper cites.

Elsahar, H., Vougiouklis, P., Remaci, A., Gravier, C., Hare, J., Laforest, F., Simperl, E.: T-REx: A large scale alignment of natural language with knowledge base triples. In: LREC (2018)

2018

Earlier work this paper cites.

Paulheim, H.: How much is a triple? estimating the cost of knowledge graph creation. In: ISWC (2018)

2018

Cited alongside, same era.

Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: Pre-training of deep bidirectional transformers for language understanding. In: NAACL (2019)

2019

Cited alongside, same era.

Petroni, F., Rocktäschel, T., Riedel, S., Lewis, P., Bakhtin, A., Wu, Y., Miller, A.: Language models as knowledge bases? In: EMNLP (2019)

2019

Cited alongside, same era.

Petroni, F., Lewis, P., Piktus, A., Rocktäschel, T., Wu, Y., Miller, A.H., Riedel, S.: How context affects language models’ factual predictions. In: AKBC (2020)

2020

Cited alongside, same era.

Poerner, N., Waltinger, U., Schütze, H.: E-BERT: Efficient-yet-effective entity embeddings for BERT. In: Findings of EMNLP (2020)

2020

Cited alongside, same era.

Elazar, Y., Kassner, N., Ravfogel, S., Ravichander, A., Hovy, E., Schütze, H., Goldberg, Y.: Measuring and improving consistency in pretrained language models. TACL (2021)

2021

Later among the works it cites.

Heinzerling, B., Inui, K.: Language models as knowledge bases: On entity representations, storage capacity, and paraphrased queries. In: EACL (2021)

2021

Later among the works it cites.

Razniewski, S., Yates, A., Kassner, N., Weikum, G.: Language models as or for knowledge bases. DL4KG (2021)

2021

Later among the works it cites.

Shaik, Z., Ilievski, F., Morstatter, F.: Analyzing race and country of citizenship bias in wikidata (2021)

2021

Later among the works it cites.

Weikum, G., Dong, L., Razniewski, S., Suchanek, F.M.: Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases. In: FnT (2021)

2021

Later among the works it cites.