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Papers |
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PropBank-Powered Data Creation: Utilizing Sense-Role Labelling to Generate Disaster Scenario Data
Mollie Frances Shichman, Claire Bonial, Taylor A. Hudson, Austin Blodgett, Francis Ferraro and Rachel Rudinger |
pp. 1‑10 |
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Aspect Variability and the Annotation of Aspect in the IMAGACT Ontology of Action
Massimo Moneglia and Rossella Varvara |
pp. 11‑19 |
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NoVRol: A semantic role lexicon of Norwegian verbs
Henrik Torgersen, Erlend Ø. Ravnanger, Lars Hellan and Dag Haug |
pp. 20‑29 |
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Expanding Russian PropBank: Challenges and Insights for Developing New SRL Resources
Skatje Myers, Roman Khamov, Adam Pollins, Rebekah Tozier, Olga Babko-Malaya and Martha Palmer |
pp. 30‑38 |
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Unveiling Semantic Information in Sentence Embeddings
Leixin Zhang, David Burian, Vojtěch John and Ondřej Bojar |
pp. 39‑47 |
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A Quantum Theory of Terms and New Challenges to Meaning Representation of Quanterms
Diego Burgos |
pp. 48‑53 |
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VOLARE - Visual Ontological LAnguage REpresentation
Werner Winiwarter |
pp. 54‑65 |
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YARN is All You Knit: Encoding Multiple Semantic Phenomena with Layers
Siyana Pavlova, Maxime Amblard and Bruno Guillaume |
pp. 66‑76 |
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Argument Sharing in Meaning Representation Parsing
Maja Buljan, Stephan Oepen and Lilja Øvrelid |
pp. 77‑87 |
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Mapping PropBank Argument Labels to Czech Verbal Valency
Jan Hajič, Eva Fučíková, Marketa Lopatkova and Zdeňka Urešová |
pp. 88‑100 |
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Lexicalized Meaning Representation (LMR)
Jorge Baptista, Sónia Reis, João Dias and Pedro Santos |
pp. 101‑111 |
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Adjudicating LLMs as PropBank Adjudicators
Julia Bonn, Harish Tayyar Madabushi, Jena D. Hwang and Claire Bonial |
pp. 112‑123 |
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Extending VerbNet’s Verb-Specific Features to Enhance Selectional Preferences of Semantic Roles
Susan Windisch Brown |
pp. 124‑130 |
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Chinese UMR annotation: Can LLMs help?
Haibo Sun, Nianwen Xue, Jin Zhao, Liulu Yue, Yao Sun, Keer Xu and Jiawei Wu |
pp. 131‑139 |
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Accelerating UMR Adoption: Neuro-Symbolic Conversion from AMR-to-UMR with Low Supervision
Claire Benet Post, Marie C. McGregor, Maria Leonor Pacheco and Alexis Palmer |
pp. 140‑150 |
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The Relative Clauses AMR Parsers Hate Most
Xiulin Yang and Nathan Schneider |
pp. 151‑161 |
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Gaining More Insight into Neural Semantic Parsing with Challenging Benchmarks
Xiao Zhang, Chunliu Wang, Rik van Noord and Johan Bos |
pp. 162‑175 |
