A term-centric framework uses automatic term extraction to align heterogeneous document collections into a shared space and builds hierarchies by combining domain priors with clustering, outperforming document-level baselines on a 1M+ document English-German benchmark.
Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =
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The authors propose an evaluation framework for LLM-generated structured search summaries and describe plans for implementing and testing it.
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Term-Centric Hierarchy Induction from Heterogeneous Corpora
A term-centric framework uses automatic term extraction to align heterogeneous document collections into a shared space and builds hierarchies by combining domain priors with clustering, outperforming document-level baselines on a 1M+ document English-German benchmark.