Papers with semantic framework
ESG-KG: A Multi-modal Knowledge Graph System for Automated Compliance Assessment (2026.eacl-demo)
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| Challenge: | Existing methods for ESG compliance assessment rely on fact-based retrieval methods. |
| Approach: | They propose a multi-modal information extraction pipeline to extract, structure, and evaluate sustainability reports. |
| Outcome: | The proposed system extracts, structures, and evaluates ESG-related content from text, tables, figures, and infographics. |
LGPSolver - Solving Logic Grid Puzzles Automatically (2020.findings-emnlp)
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| Challenge: | Logic grid puzzle solvers can solve word algebra and logic puzzles in any domain with 100% accuracy. |
| Approach: | They propose a method that uses a DistilBERT-based classifier to classify a clue into one of the predefined predicate types for logic grid puzzles. |
| Outcome: | The proposed solution outperforms state-of-the-art solutions by a large margin on a given dataset. |
Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs (2022.emnlp-main)
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| Challenge: | Existing methods for temporal question answering ignore intrinsic connections between events that can make them temporally related. |
| Approach: | They propose a temporal question answering method that generates query graphs by exploring relevant facts of mentioned entities. |
| Outcome: | The proposed method outperforms existing methods on two benchmarks over different knowledge graphs. |
Fine-Grained Temporal Relation Extraction (P19-1)
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| Challenge: | Existing methods for temporal relations and event durations are insufficient for determining the fine-grained temporal structure of complex events. |
| Approach: | They propose a semantic framework for temporal relations and event durations that maps pairs of events to real-valued scales. |
| Outcome: | The proposed framework can predict fine-grained temporal relations and event durations . it can be applied to the entire English Web Treebank dataset . |
Generics are puzzling. Can language models find the missing piece? (2025.coling-main)
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| Challenge: | Generic sentences express generalisations about the world without explicit quantification . human biases in stereotypes can be observed in language models, authors say . |
| Approach: | They analyze generic sentences to determine their quantification and quantify their implicit quantifications using language models. |
| Outcome: | The proposed model shows that generics are more context-sensitive than determiner quantifiers and express weak generalisations. |