Thomas Kober

23 papers A* 1A 1B 1Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation.
ECIR (1)
Kasra Hosseini, Thomas Kober, Josip Krapac, Roland Vollgraf, Weiwei Cheng, Ana Peleteiro-Ramallo
2024 J jnl
Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation.
CoRR
Kasra Hosseini, Thomas Kober, Josip Krapac, Roland Vollgraf, Weiwei Cheng, Ana Peleteiro-Ramallo
2024 J jnl
What should I wear to a party in a Greek taverna? Evaluation for Conversational Agents in the Fashion Domain.
CoRR
Antonis Maronikolakis, Ana Peleteiro-Ramallo, Weiwei Cheng, Thomas Kober
2022 J jnl
Zero-shot Cross-Linguistic Learning of Event Semantics.
CoRR
Malihe Alikhani, Thomas Kober, Bashar Alhafni, Yue Chen, Mert Inan, Elizabeth Nielsen, Shahab Raji, Mark Steedman, Matthew Stone
2021 A conf
Data Augmentation for Hypernymy Detection.
EACL
Thomas Kober, Julie Weeds, Lorenzo Bertolini, David J. Weir
2020 B conf
Aspectuality Across Genre: A Distributional Semantics Approach.
COLING
Thomas Kober, Malihe Alikhani, Matthew Stone, Mark Steedman
2020 J jnl
Aspectuality Across Genre: A Distributional Semantics Approach.
CoRR
Thomas Kober, Malihe Alikhani, Matthew Stone, Mark Steedman
2020 J jnl
Data Augmentation for Hypernymy Detection.
CoRR
Thomas Kober, Julie Weeds, Lorenzo Bertolini, David J. Weir
2020 J jnl
Going Beyond T-SNE: Exposing
CoRR
Vincent D. Warmerdam, Thomas Kober, Rachael Tatman
2020 J jnl
STAR: A Schema-Guided Dialog Dataset for Transfer Learning.
CoRR
Johannes E. M. Mosig, Shikib Mehri, Thomas Kober
2019 — conf
Temporal and Aspectual Entailment.
IWCS (1)
Thomas Kober, Sander Bijl de Vroe, Mark Steedman
2019 J jnl
Temporal and Aspectual Entailment.
CoRR
Thomas Kober, Sander Bijl de Vroe, Mark Steedman
2018 — —
Inferring unobserved co-occurrence events in Anchored Packed Trees.
Thomas Kober
2017 — conf
Improving Semantic Composition with Offset Inference.
ACL (2)
Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir
2017 J jnl
Improving Semantic Composition with Offset Inference.
CoRR
Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir
2017 J jnl
One Representation per Word - Does it make Sense for Composition?
CoRR
Thomas Kober, Julie Weeds, John Wilkie, Jeremy Reffin, David J. Weir
2017 — conf
When a Red Herring in Not a Red Herring: Using Compositional Methods to Detect Non-Compositional Phrases.
EACL (2)
Julie Weeds, Thomas Kober, Jeremy Reffin, David J. Weir
2016 — conf
A critique of word similarity as a method for evaluating distributional semantic models.
RepEval@ACL
Miroslav Batchkarov, Thomas Kober, Jeremy Reffin, Julie Weeds, David J. Weir
2016 J jnl
Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics.
Comput. Linguistics
David J. Weir, Julie Weeds, Jeremy Reffin, Thomas Kober
2016 J jnl
Aligning Packed Dependency Trees: a theory of composition for distributional semantics.
CoRR
David J. Weir, Julie Weeds, Jeremy Reffin, Thomas Kober
2016 A* conf
Improving Sparse Word Representations with Distributional Inference for Semantic Composition.
EMNLP
Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir
2016 J jnl
Improving Sparse Word Representations with Distributional Inference for Semantic Composition.
CoRR
Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir
2015 — conf
Optimising Agile Social Media Analysis.
WASSA@EMNLP
Thomas Kober, David J. Weir