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Posterior Control of Blackbox Generation
Text generation often requires high-precision output that obeys task-specific rules. This fine-grained control is difficult to enforce with off-the-shelf deep learning models. -
SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot
The SHROOM dataset is a collection of data points containing task, input text, target text, and generated text. The dataset is used for hallucination detection in natural... -
KiUT: Knowledge-injected U-Transformer for Radiology Report Generation
Radiology report generation aims to automatically generate a clinically accurate and coherent paragraph from the X-ray image, which could relieve radiologists from the heavy... -
WMT’17 metrics task
The dataset used in the paper for validation studies of automatic metrics in natural language generation evaluation -
Famous Keyword Twitter Replies
The Famous Keyword Twitter Replies dataset is a comprehensive collection of Twitter data that focuses on popular keywords and their associated replies. -
Text Summarization
The dataset used for the text summarization task, where a summarizer produces an utterance made up of one or multiple sentences to succinctly report the main content of a text. -
Reference Games
The dataset used for the reference games task, where participants produce descriptions that allow comprehenders to identify the correct referent out of a set of candidates. -
1-billion-word
1-billion-word dataset -
Chinese poetry generation
Chinese poetry generation dataset -
Contextual Description Evaluation
The dataset used in the paper to evaluate the effectiveness of referenceless metrics for image accessibility. -
ACE 2005, WebNLG, CoNLL, NYT, and FB15k-237
The dataset used in the paper is ACE 2005, WebNLG, CoNLL, NYT, and FB15k-237. The ACE 2005 dataset is a collection of news articles, while WebNLG is a corpus used for natural... -
Cross-modal Memory Networks for Radiology Report Generation
Radiology report generation using cross-modal memory networks -
Sentiment-oriented Transformer-based Variational Autoencoder Network for Live...
Sentiment-oriented Transformer-based Variational Autoencoder (So-TVAE) for Live Video Commenting -
Diffusion-LM Improves Controllable Text Generation
Controlling the behavior of language models (LMs) without re-training is a major open problem in natural language generation. We develop a new non-autoregressive language model... -
VOLTA: Improving Generative Diversity by Variational Mutual Information Maxim...
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used six datasets from three different NLG tasks.
