Semeval-2017 task 1: Semantic textual similarity-multilingual and cross-lingual focused evaluation
Semantic Textual Similarity (STS) measures the meaning similarity of sentences.
Applications include machine translation (MT), summarization, generation, question …
Applications include machine translation (MT), summarization, generation, question …
Neural data-to-text generation with LM-based text augmentation
For many new application domains for data-to-text generation, the main obstacle in training
neural models consists of a lack of training data. While usually large numbers of instances …
neural models consists of a lack of training data. While usually large numbers of instances …
Does the order of training samples matter? improving neural data-to-text generation with curriculum learning
Recent advancements in data-to-text generation largely take on the form of neural end-to-
end systems. Efforts have been dedicated to improving text generation systems by changing …
end systems. Efforts have been dedicated to improving text generation systems by changing …
Jointly improving language understanding and generation with quality-weighted weak supervision of automatic labeling
Neural natural language generation (NLG) and understanding (NLU) models are data-
hungry and require massive amounts of annotated data to be competitive. Recent …
hungry and require massive amounts of annotated data to be competitive. Recent …
Unsupervised pidgin text generation by pivoting english data and self-training
West African Pidgin English is a language that is significantly spoken in West Africa,
consisting of at least 75 million speakers. Nevertheless, proper machine translation systems …
consisting of at least 75 million speakers. Nevertheless, proper machine translation systems …
Deep latent-variable models for text generation
X Shen - arXiv preprint arXiv:2203.02055, 2022 - arxiv.org
Text generation aims to produce human-like natural language output for down-stream tasks.
It covers a wide range of applications like machine translation, document summarization …
It covers a wide range of applications like machine translation, document summarization …
Leveraging grammatical roles for measuring semantic similarity between texts
Semantic similarity between texts can be defined based on their meaning. Assessing the
textual similarity is a prerequisite in almost all applications in the field of language …
textual similarity is a prerequisite in almost all applications in the field of language …
Disease prediction and early intervention system based on symptom similarity analysis
With the development of computer technology, the electronic of medical data has become a
reality. Now, how to analyze the data sufficiently to predict patient's disease and conduct …
reality. Now, how to analyze the data sufficiently to predict patient's disease and conduct …
Design of judicial public opinion supervision and intelligent decision-making model based on Bi-LSTM
H Guo - PeerJ Computer Science, 2024 - peerj.com
Fuzzy preference modeling in intelligent decision support systems aims to improve the
efficiency and accuracy of decision-making processes by incorporating fuzzy logic and …
efficiency and accuracy of decision-making processes by incorporating fuzzy logic and …
Hybridization between neural computing and nature-inspired algorithms for a sentence similarity model based on the attention mechanism
Sentence similarity analysis has been applied in many fields, such as machine translation,
the question answering system, and voice customer service. As a basic task of natural …
the question answering system, and voice customer service. As a basic task of natural …