Papers with Readers
Plot Retrieval as an Assessment of Abstract Semantic Association (2024.acl-srw)
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| Challenge: | Existing information retrieval datasets cannot capture abstract semantic associations well. |
| Approach: | They propose a task that retrieves relevant plots from the book for a query using a labeled dataset. |
| Outcome: | The proposed task can be used to evaluate the performance of IR models on the novel task Plot Retrieval. |
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents (2021.acl-short)
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| Challenge: | Faceted summarization provides briefings of a document from different perspectives. |
| Approach: | They propose a faceted summarization benchmark built on Emerald journal articles . they propose faceted models that bring structure into faceted documents . |
| Outcome: | The proposed benchmark is based on Emerald journal articles and covers a diverse range of domains. |
Decoding Reading Goals from Eye Movements (2025.acl-long)
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| Challenge: | a study examines whether readers can distinguish between two types of reading goals: information seeking and ordinary reading for comprehension. |
| Approach: | They propose a method to distinguish between two types of reading goals: information seeking and ordinary reading for comprehension. |
| Outcome: | The proposed model solves the reading goal-oriented task with the most accurate predictions in real time, the authors say . |
A Genre-Aware Attention Model to Improve the Likability Prediction of Books (D18-1)
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| Challenge: | Existing methods for likability prediction are time-consuming and too rigid. |
| Approach: | They propose a novel neural architecture that incorporates genre supervision to assign weights to individual feature types based on the characteristics of each book. |
| Outcome: | The proposed method outperforms state-of-the-art methods and achieves competitive results. |