Generating Table Vector Representations

Webtables: exploring the power of tables on the web,

M. J. Cafarella, A. Y. Halevy, D. Z. Wang, E. Wu, Y. Zhang, · 2008

Earlier work this paper cites.

Tabeano: Table to knowledge graph entity annotation,

Original

P. Nguyen, N. Kertkeidkachorn, R. Ichise, H. Takeda, · 2010

Earlier work this paper cites.

Annotating and searching web tables using entities, types and relationships,

G. Limaye, S. Sarawagi, S. Chakrabarti, · 2010

Earlier work this paper cites.

Recovering semantics of tables on the web,

P. Venetis, A. Y. Halevy, J. Madhavan, M. Pasca, W. Shen, F. Wu, G. Miao, C. Wu, · 2011

Earlier work this paper cites.

Infogather+: semantic matching and annotation of numeric and time-varying attributes in web tables,

M. Zhang, K. Chakrabarti, · 2013

Earlier work this paper cites.

Matching HTML tables to dbpedia,

D. Ritze, O. Lehmberg, C. Bizer, · 2015

Earlier work this paper cites.

Table cell search for question answering,

H. Sun, H. Ma, X. He, W. Yih, Y. Su, X. Yan, · 2016

Earlier work this paper cites.

Matching web tables with knowledge base entities: From entity lookups to entity embeddings,

V. Efthymiou, O. Hassanzadeh, M. Rodriguez-Muro, V. Christophides, · 2017

Earlier work this paper cites.

Enriching word vectors with subword information,

Original

P. Bojanowski, E. Grave, A. Joulin, T. Mikolov, · 2017

Cited alongside, same era.

Learning semantic annotations for tabular data,

J. Chen, E. Jiménez-Ruiz, I. Horrocks, C. Sutton, · 2019

Cited alongside, same era.

BERT: pre-training of deep bidirectional transformers for language understanding,

J. Devlin, M. Chang, K. Lee, K. Toutanova, · 2019

Cited alongside, same era.

Table2vec: Neural word and entity embeddings for table population and retrieval,

L. Zhang, S. Zhang, K. Balog, · 2019

Cited alongside, same era.

Extracting novel facts from tables for knowledge graph completion,

B. Kruit, P. A. Boncz, J. Urbani, · 2019

Cited alongside, same era.

Novel entity discovery from web tables,

S. Zhang, E. Meij, K. Balog, R. Reinanda, · 2020

Semtab 2019: Resources to benchmark tabular data to knowledge graph matching systems,

E. Jiménez-Ruiz, O. Hassanzadeh, V. Efthymiou, J. Chen, K. Srinivas, · 2020

Later among the works it cites.

Linkingpark: An integrated approach for semantic table interpretation,

S. Chen, A. Karaoglu, C. Negreanu, T. Ma, J. Yao, J. Williams, A. Gordon, C. Lin, · 2020

Later among the works it cites.

Mtab4wikidata at semtab 2020: Tabular data annotation with wikidata,

P. Nguyen, I. Yamada, N. Kertkeidkachorn, R. Ichise, H. Takeda, · 2020

Later among the works it cites.

TURL: table understanding through representation learning,

X. Deng, H. Sun, A. Lees, Y. Wu, C. Yu, · 2020

Later among the works it cites.

How much knowledge can you pack into the parameters of a language model?,

A. Roberts, C. Raffel, N. Shazeer, · 2020

Later among the works it cites.

Tapas: Weakly supervised table parsing via pre-training,