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ORCIDThomas Kober 0001
Person information
- affiliation: Rasa, Berlin, Germany
- affiliation (former): University of Edinburgh, UK
- affiliation (PhD 2018): University of Sussex, UK
Other persons with the same name
- Thomas Kober 0002 — TU Munich, Germany
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2020 – today
- 2022
[i10]Malihe Alikhani, Thomas Kober, Bashar Alhafni, Yue Chen, Mert Inan, Elizabeth Nielsen, Shahab Raji, Mark Steedman, Matthew Stone:
Zero-shot Cross-Linguistic Learning of Event Semantics. CoRR abs/2207.02356 (2022)- 2021
- [c8]Thomas Kober, Julie Weeds
, Lorenzo Bertolini, David J. Weir:
Data Augmentation for Hypernymy Detection. EACL 2021: 1034-1048 - 2020
- [c7]Thomas Kober, Malihe Alikhani, Matthew Stone, Mark Steedman:
Aspectuality Across Genre: A Distributional Semantics Approach. COLING 2020: 4546-4562 - [i9]Thomas Kober, Julie Weeds, Lorenzo Bertolini, David J. Weir:
Data Augmentation for Hypernymy Detection. CoRR abs/2005.01854 (2020) - [i8]Vincent D. Warmerdam, Thomas Kober, Rachael Tatman:
Going Beyond T-SNE: Exposing whatlies in Text Embeddings. CoRR abs/2009.02113 (2020) - [i7]Johannes E. M. Mosig, Shikib Mehri, Thomas Kober:
STAR: A Schema-Guided Dialog Dataset for Transfer Learning. CoRR abs/2010.11853 (2020) - [i6]Thomas Kober, Malihe Alikhani, Matthew Stone, Mark Steedman:
Aspectuality Across Genre: A Distributional Semantics Approach. CoRR abs/2011.00345 (2020)
2010 – 2019
- 2019
- [c6]Thomas Kober, Sander Bijl de Vroe, Mark Steedman:
Temporal and Aspectual Entailment. IWCS (1) 2019: 103-119 - [i5]Thomas Kober, Sander Bijl de Vroe, Mark Steedman:
Temporal and Aspectual Entailment. CoRR abs/1904.01297 (2019) - 2018
- [b1]Thomas Kober:
Inferring unobserved co-occurrence events in Anchored Packed Trees. University of Sussex, Falmer, East Sussex, UK, 2018 - 2017
- [c5]Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir:
Improving Semantic Composition with Offset Inference. ACL (2) 2017: 433-440 - [c4]Julie Weeds, Thomas Kober, Jeremy Reffin, David J. Weir:
When a Red Herring in Not a Red Herring: Using Compositional Methods to Detect Non-Compositional Phrases. EACL (2) 2017: 529-534 - [i4]Thomas Kober, Julie Weeds, John Wilkie, Jeremy Reffin, David J. Weir:
One Representation per Word - Does it make Sense for Composition? CoRR abs/1702.06696 (2017) - [i3]Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir:
Improving Semantic Composition with Offset Inference. CoRR abs/1704.06692 (2017) - 2016
- [j1]David J. Weir, Julie Weeds, Jeremy Reffin, Thomas Kober:
Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics. Comput. Linguistics 42(4): 727-761 (2016) - [c3]Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir:
Improving Sparse Word Representations with Distributional Inference for Semantic Composition. EMNLP 2016: 1691-1702 - [c2]Miroslav Batchkarov, Thomas Kober, Jeremy Reffin, Julie Weeds, David J. Weir:
A critique of word similarity as a method for evaluating distributional semantic models. RepEval@ACL 2016: 7-12 - [i2]Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir:
Improving Sparse Word Representations with Distributional Inference for Semantic Composition. CoRR abs/1608.06794 (2016) - [i1]David J. Weir, Julie Weeds, Jeremy Reffin, Thomas Kober:
Aligning Packed Dependency Trees: a theory of composition for distributional semantics. CoRR abs/1608.07115 (2016) - 2015
- [c1]Thomas Kober, David J. Weir:
Optimising Agile Social Media Analysis. WASSA@EMNLP 2015: 31-40
Coauthor Index
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