Papers with review generation
IFlyEA: A Chinese Essay Assessment System with Automated Rating, Review Generation, and Recommendation (2021.acl-demo)
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| Challenge: | Automated Essay Assessment (AEA) aims to judge students’ writing proficiency in an automatic way. |
| Approach: | They propose to use Chinese AEA system IFlyEssayAssess to evaluate essays written by native Chinese students from primary and junior schools. |
| Outcome: | The proposed system provides application services for essay scoring, review generation, recommendation, and explainable analytical visualization. |
Multimodal Review Generation with Privacy and Fairness Awareness (2020.coling-main)
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| Challenge: | Existing frameworks for generating personalized reviews take privacy and fairness into account . users generate digital footprints when "traveling" on the internet . |
| Approach: | They propose a neural-based framework that generates personalized reviews with privacy and fairness in mind. |
| Outcome: | The proposed framework generates plausibly long reviews while controlling the amount of exploited user data and using the least sentiment biased embeddings. |
Retrieval-Augmented Controllable Review Generation (2020.coling-main)
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| Challenge: | Existing approaches to generate reviews using attribute identifiers are limited and dependent on how well they can capture vector representations of attributes. |
| Approach: | They propose to leverage attributes as inputs for review generation by using reference sets . they propose to use these references to enrich inductive biases of given attributes . |
| Outcome: | The proposed model improves over previous approaches on automatic and human evaluation metrics. |
Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation (D18-1)
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| Challenge: | Existing text generation methods tend to produce repeated and ”boring” expressions. |
| Approach: | They propose a model that assigns low reward for repeatedly generated text and high reward for ”novel” and fluent text, and a novel language-model based discriminator which can distinguish novel text from repeated text without the saturation problem. |
| Outcome: | The proposed model generates more diverse and informative text than existing baselines on review generation and dialogue generation tasks. |
Hierarchical Catalogue Generation for Literature Review: A Benchmark (2023.findings-emnlp)
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| Challenge: | Scientific literature review generation aims to extract and organize important information from an abundant collection of reference papers and produces corresponding reviews while lacking a clear and logical hierarchy. |
| Approach: | They propose a task to generate a hierarchical catalogue of a review paper given various references by using a database of 7.6k literature review catalogues and 389k reference papers. |
| Outcome: | The proposed method produces a hierarchical catalogue of a review paper given various references. |