Papers with SNACS
Multilingual Supervision Improves Semantic Disambiguation of Adpositions (2025.coling-main)
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| Challenge: | a corpus-based cross-linguistic investigation into the lexical semantics of adpositions is conducted . a significant amount of ambiguity and flexibility in their meanings are present in a variety of languages . |
| Approach: | They conduct a corpus-based corpus analysis of adpositions using SNACS . they find distributional differences in a language's adequacy and disambiguation performance . |
| Outcome: | The proposed framework is suited for analyzing adpositions across languages . it provides a framework for a wide-coverage corpus annotation of high-level senses . |
My Case, For an Adposition: Lexical Polysemy of Adpositions and Case Markers in Finnish and Latin (2022.lrec-1)
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| Challenge: | Polysemy between adpositions and case markers is high in casemarked languages . a singular adeposition can cover a wide range of semantic fields while occupying the same syntactic context. |
| Approach: | They propose to manually annotate adposition and case marker tokens in Finnish and Latin translations of Le Petit Prince. |
| Outcome: | The proposed method can be applied to Finnish and Latin translations of Le Petit Prince . it uses k-means clustering to group raw, contextualized BERT embeddings . |
Prepositions Matter in Quantifier Scope Disambiguation (2022.coling-1)
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Aleksander Leczkowski, Justyna Grudzińska, Manuel Vargas Guzmán, Aleksander Wawer, Aleksandra Siemieniuk
| Challenge: | Existing work on how to integrate world knowledge into a QSD model has been limited . |
| Approach: | They use a scope-disambiguated corpus annotated with prepositional senses to integrate our knowledge into a machine learning model. |
| Outcome: | The proposed model is based on a scope-disambiguated corpus annotated with prepositional senses . Statistical analysis shows that prepositions have a positive impact on the learnability of automatic QSD systems. |
MASALA: Modelling and Analysing the Semantics of Adpositions in Linguistic Annotation of Hindi (2022.lrec-1)
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| Challenge: | Existing work on SNACS annotation for a variety of typologically diverse languages focuses on semantic role labelling and upstream applications in related languages. |
| Approach: | They propose to use the multilingual SNACS annotation scheme to attempt automatic labelling of SNAC supersenses in Hindi. |
| Outcome: | The proposed method is competitive with previous work on English and Gujarati. |
J-SNACS: Adposition and Case Supersenses for Japanese Joshi (2024.lrec-main)
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| Challenge: | adpositions are used to mark a variety of semantic relations in languages such as English and Korean. |
| Approach: | They propose a Japanese extension of the SNACS framework for annotating adpositions in corpora from several languages. |
| Outcome: | The proposed framework captures similarities not seen in multilingual embedding space. |