Papers with compositional model
LexSym: Compositionality as Lexical Symmetry (2023.acl-long)
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| Challenge: | Existing approaches to generalize compositional models fail to generalise from small datasets. |
| Approach: | They propose a domain-general and model-agnostic formulation of compositionality as a constraint on symmetries of data distributions rather than models. |
| Outcome: | The proposed procedure matches or surpasses state-of-the-art, task-specific models on COGS semantic parsing, SCAN and Alchemy instruction following, and CLEVR-CoGenT visual question answering datasets. |
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs (D18-1)
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| Challenge: | a paper addresses the problem of mapping natural language text to knowledge base entities. |
| Approach: | They propose a model for mapping natural language text to knowledge base entities using a multi-dimensional entity space obtained from a knowledge graph. |
| Outcome: | The proposed model is applied to large-scale text-to-entity mapping and entity classification tasks with state-of-the-art results. |
Multi-Step Inference for Reasoning Over Paragraphs (2020.emnlp-main)
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| Challenge: | Existing models for complex reasoning use symbols or black-box transformers . a compositional model can chain together free-form predicates and logical connectives . |
| Approach: | They propose a compositional model that finds relevant sentences and then chains them together using neural modules. |
| Outcome: | The proposed model improves performance on a recently-introduced dataset. |