Papers with Discourse Representation Theory
Evaluating Scoped Meaning Representations (L18-1)
Copied to clipboard
| Challenge: | Semantic parsing offers many opportunities to improve natural language understanding . current research on open-domain semantic parsers focuses on supervised learning methods . |
| Approach: | They propose a semantically annotated parallel corpus for English, German, Italian, and Dutch . they use a matching tool to evaluate scoped meaning representations to match clauses . |
| Outcome: | The proposed method captures the semantics of negation, modals, quantification, and presupposition triggers . it compares scoped meaning representations to gold standard parsers and finds improvements . |
Transparent Semantic Parsing with Universal Dependencies Using Graph Transformations (2022.coling-1)
Copied to clipboard
| Challenge: | Existing semantic parsers are based on deep learning, but rule-based approaches offer advantages . a drawback of neural semantic parses is that their output lacks explainability . |
| Approach: | They propose a method that maps a syntactic dependency tree to a formal meaning representation using a series of graph transformations. |
| Outcome: | The proposed method outperforms neural parsers in English, German, Italian and Dutch. |
Discourse Representation Parsing for Sentences and Documents (P19-1)
Copied to clipboard
| Challenge: | Experimental results show that our model outperforms competitive baselines by a wide margin. |
| Approach: | They propose a neural model which parses discourse structures of arbitrary length and granularity. |
| Outcome: | The proposed model outperforms baseline models on sentence- and document-level benchmarks. |
ISO 24617-12: A New Standard for Semantic Annotation (2024.lrec-main)
Copied to clipboard
| Challenge: | ISO 24617-12 is a proposed new standard 1 for the annotation of quantification phenomena in natural language. |
| Approach: | This paper proposes an annotation scheme for quantification phenomena in natural language as part of the ISO Semantic Annotation Framework (ISO 24617) it combines ideas from the theory of generalised quantifiers, from neo-Davidsonian event semantics, and from Discourse Representation Theory. |
| Outcome: | The proposed standard 1 is an annotation scheme for quantification phenomena in natural language. |