Review Generation

17 papers with code • 0 benchmarks • 3 datasets

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Use these libraries to find Review Generation models and implementations

Most implemented papers

DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text

lancopku/DPGAN 5 Feb 2018

Existing text generation methods tend to produce repeated and "boring" expressions.

Unsupervised Opinion Summarization as Copycat-Review Generation

ixlan/CopyCat-abstractive-opinion-summarizer ACL 2020

At test time, when generating summaries, we force the novelty to be minimal, and produce a text reflecting consensus opinions.

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

jeykigung/P5 24 Mar 2022

For a long time, different recommendation tasks typically require designing task-specific architectures and training objectives.

Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations

nijianmo/textExpansion ACL 2018

In this paper, we focus on the problem of building assistive systems that can help users to write reviews.

Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation

Crista23/JudgeTheJudges IJCNLP 2019

We conduct a large-scale, systematic study to evaluate the existing evaluation methods for natural language generation in the context of generating online product reviews.

Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding

turboLJY/Coarse-to-Fine-Review-Generation ACL 2019

In this paper, we propose a novel review generation model by characterizing an elaborately designed aspect-aware coarse-to-fine generation process.

Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network

turboLJY/CapsGNN-Review-Generation 4 Oct 2020

First, based on graph capsules, we adaptively learn aspect capsules for inferring the aspect sequence.

ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis

EagleW/ReviewRobot INLG (ACL) 2020

To assist human review process, we build a novel ReviewRobot to automatically assign a review score and write comments for multiple categories such as novelty and meaningful comparison.

Multimodal Review Generation with Privacy and Fairness Awareness

reml-ai/mg-prifair COLING 2020

Users express their opinions towards entities (e. g., restaurants) via online reviews which can be in diverse forms such as text, ratings, and images.