Papers with representation scheme
Incorporating Dropped Pronouns into Coreference Resolution: The case for Turkish (2023.eacl-srw)
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| Challenge: | PD-MRLs are pro-drop and morphologically rich languages due to dropped pronouns . a representation & evaluation scheme is proposed to incorporate dropped pronomins into coreference resolution . |
| Approach: | They propose a representation & evaluation scheme to incorporate dropped pronouns into coreference resolution and validate it on the Turkish language. |
| Outcome: | The proposed representation & evaluation scheme extends on the Turkish coreference dataset . it includes pre and post processors to enhance the prominent CoNLL coreference scorer . |
Invertible Tree Embeddings using a Cryptographic Role Embedding Scheme (2020.coling-main)
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| Challenge: | Unlike previous attempts, this method does not come at the cost of intractable representation size; it works well when there is sufficient randomness in the representation scheme for simple data and providing an upper bound on its error. |
| Approach: | They propose a method for embedding trees in a vector space based on Tensor-Product Representations (TPRs) that allows for inversion: the retrieval of the original tree structure and nodes from the vectorial embeddment. |
| Outcome: | The proposed method can provide invertibility with error 1% that previous methods would require 8.6 1057 dimensions to represent. |
Annotating Temporal Dependency Graphs via Crowdsourcing (2020.emnlp-main)
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| Challenge: | Existing temporal annotation schemes have been limited due to the complexity of temporal relations between events. |
| Approach: | They propose to build a corpus of Wikinews articles annotated with temporal dependency graphs . they also propose a crowdsourcing strategy to annotate TDGs based on the corpus . |
| Outcome: | The proposed method achieves a good trade-off between completeness and practicality in temporal annotation. |
From Spatial Relations to Spatial Configurations (2020.lrec-1)
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| Challenge: | Existing spatial representations are not sufficient for describing complex spatial configurations. |
| Approach: | They propose to integrate existing spatial representation languages with an annotation schema to extend the capabilities of existing ones. |
| Outcome: | The proposed language can represent a large set of spatial concepts crucial for reasoning . it integrates with the Abstract Meaning Representation (AMR) annotation schema and annotates text from diverse datasets . |