Papers with KPE

4 papers
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction (2022.findings-acl)

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Challenge: Keyphrase extraction (KPE) extracts phrases in a document that provide a concise summary of the core content.
Approach: They propose an unsupervised keyphrase extraction method that ranks candidates by similarity between embeddings of source document and masked document.
Outcome: The proposed method outperforms state-of-the-art methods on six benchmarks . it achieves average 3.53 improvement over the existing method .
Incorporating Multimodal Information in Open-Domain Web Keyphrase Extraction (2020.emnlp-main)

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Challenge: Open-domain Keyphrase extraction (KPE) is a fundamental yet complex NLP task . effective designs encode within layout and formatting signals that point to where the important information can be found.
Approach: They propose a multi-modal approach to open-domain keyphrase extraction (KPE) on the Web that leverages layout and formatting signals to aid in the task.
Outcome: The proposed model outperforms state-of-the-art models on the open-domain keyphrase extraction task.
Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering (2023.acl-long)

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Challenge: Existing commonsense question answering models incur prohibitive computation costs and poor interpretability .
Approach: They propose a parameter efficient tuning network to pair PLMs with external knowledge for commonsense question answering.
Outcome: The proposed adapter integrates entity- and query-related knowledge at a small cost.
Enhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extraction (2024.lrec-main)

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Challenge: Existing methods for keyphrase extraction lack the ability to utilize keyphrase information, which may result in biased results.
Approach: They propose a keyphrase extraction task that leverages the supervised Variational Information Bottleneck to guide the text diffusion process for generating enhanced keyphrase representations.
Outcome: The proposed keyphrase extraction model outperforms existing methods on open domain keyphrase extractor benchmark and scientific domain dataset.

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