Few-shot NLG with pre-trained language model

Z Chen, H Eavani, W Chen, Y Liu, WY Wang - arXiv preprint arXiv …, 2019 - arxiv.org
Neural-based end-to-end approaches to natural language generation (NLG) from structured
data or knowledge are data-hungry, making their adoption for real-world applications difficult …

Phraseological Expressions in the Turkic Language:‎ Comparative Analysis

N Bekeyeva, A Bissengali, Z Mankeyeva… - International Journal of …, 2021 - ijscl.com
Turkic languages are based on the study of common spiritual foundations as well as proving
the valuable works of the ancient Turkish era. Modern linguistics proves in accordance with …

A dynamic parameter enhanced network for distant supervised relation extraction

Y Gou, Y Lei, L Liu, P Zhang, X Peng - Knowledge-Based Systems, 2020 - Elsevier
Abstract Distant Supervised Relation Extraction (DSRE) is usually formulated as a problem
about classifying a bag of sentences that contains two query entities into the predefined …

文本特征提取的研究进展.

曾明睿, 袁梦奇, 邵曦, 鲍秉坤… - Journal of Nanjing …, 2019 - search.ebscohost.com
摘要文本理解是人工智能的一个重要分支, 其技术推动了人与计算机之间在自然语言上的有效
交互. 为了让计算机准确地理解和感知文本数据, 文本特征提取是最为基础和关键的步骤之一 …

Improving distant supervised relation extraction by dynamic neural network

Y Gou, Y Lei, L Liu, P Zhang, X Peng - arXiv preprint arXiv:1911.06489, 2019 - arxiv.org
Distant Supervised Relation Extraction (DSRE) is usually formulated as a problem of
classifying a bag of sentences that contain two query entities, into the predefined relation …

Research progress on text feature extraction

M Zeng, M Yuan, X Shao, B Bao… - Nanjing Xinxi Gongcheng …, 2019 - search.proquest.com
Text understanding is an important research branch in artificial intelligence, which avails the
effective interaction between human and computer with natural language. Text feature …