Papers by Tim Schopf
A Decade of Knowledge Graphs in Natural Language Processing: A Survey (2022.aacl-main)
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| Challenge: | Knowledge graphs (KGs) are a representation of semantic relations between entities . despite their popularity, there is still no general understanding of what exactly a KG is or for what tasks it is applicable. |
| Approach: | They analyze 507 papers on knowledge graphs in natural language processing (NLP) they provide a taxonomy of tasks and review the maturity of individual research streams . |
| Outcome: | The findings summarize the literature and highlight directions for future work. |
NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processing (2024.acl-demos)
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| Challenge: | Existing systems for scientific literature search are typically tailored to keyword-based lookup searches, limiting possibilities for exploration. |
| Approach: | They propose a feature-rich system that supports the exploration of research literature in unfamiliar natural language processing fields. |
| Outcome: | The proposed system supports the exploration of research literature in unfamiliar natural language processing fields. |
Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models (2026.acl-long)
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| Challenge: | Recent advances in large language models have raised concerns about reliability and trustworthiness of the models. |
| Approach: | They analyze 134 papers and introduce a taxonomy of evidence-based text generation with LLMs. |
| Outcome: | The proposed methods highlight open challenges and outline promising directions for future work. |