Papers with Representation Theory
Towards an ISO Standard for the Annotation of Quantification (L18-1)
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| Challenge: | Quantification occurs in every sentence of written text or spoken discourse because application of a predicate to one or more sets of objects gives rise to questions of relative scope, of cardinality, and of distribution (or 'distributivity') of the predicacy over the sets of arguments. |
| Approach: | They propose an approach to the annotation of quantification that is being developed as part of an effort by the International Organisation for Standardisation ISO to define interoperable semantic annotation schemes. |
| Outcome: | The proposed scheme includes both count and mass NP quantifiers, as well as NPs with syntactically and semantically complex heads with internal quantification and scoping structures. |
Scope-enhanced Compositional Semantic Parsing for DRT (2024.emnlp-main)
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| Challenge: | Existing compositional semantic parsers for DRT struggle to produce well-formed representations due to the complexity of the sentence. |
| Approach: | They propose a compositional, neurosymbolic semantic parser for DRT that uses a novel mechanism for predicting quantifier scope. |
| Outcome: | The proposed model produces well-formed outputs and performs well on complex sentences. |
Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation (2025.emnlp-main)
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| Challenge: | ambiguities in natural language can lead to outputs that seem correct but fail to reflect the speaker’s intent. |
| Approach: | They propose to identify and then resolve ambiguities in natural language and propose metrics to quantify them. |
| Outcome: | The proposed metrics better correlate with human annotations than uncertainty baselines. |