52 citations · 57 across the 6 of their papers we have counts for
6 papers · 1 filter
Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks
Zae Myung Kim, Wanyu Du, Vipul Raheja +2
Iterative text revision improves text quality by fixing grammatical errors, rephrasing for better readability or contextual appropriateness, or reorganizing sentence structures thr…
GRS: Combining Generation and Revision in Unsupervised Sentence Simplification
Mohammad Dehghan, Dhruv Kumar, Lukasz Golab
We propose GRS: an unsupervised approach to sentence simplification that combines text generation and text revision. We start with an iterative framework in which an input sentence…
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal +53
We introduce GEM, a living benchmark for natural language Generation (NLG), its Evaluation, and Metrics. Measuring progress in NLG relies on a constantly evolving ecosystem of auto…
Optimizing Deeper Transformers on Small Datasets
Peng Xu, Dhruv Kumar, Wei Yang +6
It is a common belief that training deep transformers from scratch requires large datasets. Consequently, for small datasets, people usually use shallow and simple additional layer…
Generation of lyrics lines conditioned on music audio clips
Olga Vechtomova, Gaurav Sahu, Dhruv Kumar
We present a system for generating novel lyrics lines conditioned on music audio. A bimodal neural network model learns to generate lines conditioned on any given short audio clip.…
Iterative Edit-Based Unsupervised Sentence Simplification
Dhruv Kumar, Lili Mou, Lukasz Golab +1
We present a novel iterative, edit-based approach to unsupervised sentence simplification. Our model is guided by a scoring function involving fluency, simplicity, and meaning pres…