Few-shot NLG with pre-trained language model
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 …
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 …
the valuable works of the ancient Turkish era. Modern linguistics proves in accordance with …
A dynamic parameter enhanced network for distant supervised relation extraction
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 …
about classifying a bag of sentences that contains two query entities into the predefined …
Improving distant supervised relation extraction by dynamic neural network
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 …
classifying a bag of sentences that contain two query entities, into the predefined relation …
Research progress on text feature extraction
Text understanding is an important research branch in artificial intelligence, which avails the
effective interaction between human and computer with natural language. Text feature …
effective interaction between human and computer with natural language. Text feature …
[PDF][PDF] Faculty of Science and Engineering Department of Computer Science and Technology
AM Schoene - 2021 - hull-repository.worktribe.com
文本特征提取的研究进展.
曾明睿， 袁梦奇， 邵曦， 鲍秉坤… - Journal of Nan**g …, 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 …
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 …