%0 Journal Article %1 asaadi2023compositional %A Asaadi, Shima %A Giesbrecht, Eugenie %A Rudolph, Sebastian %D 2023 %I Cambridge University Press %J Natural Language Engineering %K topic_knowledge imported %N 1 %P 1--49 %R 10.1017/S1351324921000206 %T Compositional matrix-space models of language: Definitions, properties, and learning methods %V 29

@article{asaadi2023compositional, added-at = {2024-10-02T13:52:45.000+0200}, author = {Asaadi, Shima and Giesbrecht, Eugenie and Rudolph, Sebastian}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2cc962b1cb8d3d437f3e47b6e1a944875/scadsfct}, doi = {10.1017/S1351324921000206}, interhash = {a76fcaa23920ce36a344bba7c0f90a3d}, intrahash = {cc962b1cb8d3d437f3e47b6e1a944875}, journal = {Natural Language Engineering}, keywords = {topic_knowledge imported}, month = {January}, number = 1, pages = {1--49}, publisher = {Cambridge University Press}, timestamp = {2024-11-28T17:41:10.000+0100}, title = {Compositional matrix-space models of language: Definitions, properties, and learning methods}, volume = 29, year = 2023 }