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Eye-tracking data enhances keyphrase extraction from academic abstracts

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a novel approach to keyphrase extraction by incorporating human reading behavior, specifically eye-tracking data. Using a lightweight, webcam-based system and the open-source SearchGazer library, they created the Chinese LIS Eye-Tracking Corpus (CLIS-ET). This corpus includes features like first fixation duration, fixation number, and total fixation duration, which were integrated into an Att-BiLSTM+CRF model. The study found that these eye-tracking features significantly improved keyphrase extraction performance, with the combination of fixation number and total fixation duration yielding the best results. AI

IMPACT This research could lead to more accurate and context-aware keyphrase extraction tools by integrating human cognitive signals.

RANK_REASON The cluster describes an academic paper presenting a new methodology and dataset for keyphrase extraction.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Eye-tracking data enhances keyphrase extraction from academic abstracts

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The cluster describes an academic paper presenting a new methodology and dataset for keyphrase extraction.
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46 days old
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Chengzhi Zhang, Xinyi Yan, Wenqi Yu ·

    Leveraging Human Reading Behavior for Keyphrase Extraction: A Webcam-based Eye-tracking Corpus

    arXiv:2608.10688v1 Announce Type: new Abstract: Purpose: Keyphrases are statistically and semantically important textual units that can also attract readers' attention during comprehension. However, existing keyphrase extraction (KPE) studies mainly focus on improving textual rep…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Wenqi Yu ·

    Leveraging Human Reading Behavior for Keyphrase Extraction: A Webcam-based Eye-tracking Corpus

    Purpose: Keyphrases are statistically and semantically important textual units that can also attract readers' attention during comprehension. However, existing keyphrase extraction (KPE) studies mainly focus on improving textual representation while largely overlooking human read…

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