Complex knowledge base question answering: A survey
Knowledge base question answering (KBQA) aims to answer a question over a knowledge
base (KB). Early studies mainly focused on answering simple questions over KBs and …
base (KB). Early studies mainly focused on answering simple questions over KBs and …
Cross-lingual few-shot learning on unseen languages
Large pre-trained language models (LMs) have demonstrated the ability to obtain good
performance on downstream tasks with limited examples in cross-lingual settings. However …
performance on downstream tasks with limited examples in cross-lingual settings. However …
Generating Artistic Portraits from Face Photos with Feature Disentanglement and Reconstruction
Generating artistic portraits from face photos presents a complex challenge that requires
high-quality image synthesis and a deep understanding of artistic style and facial features …
high-quality image synthesis and a deep understanding of artistic style and facial features …
Can Machine Translation be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs?
Providing access to information is the main and most important purpose of the Web.
However, despite available easy-to-use tools (eg, search engines, chatbots, question …
However, despite available easy-to-use tools (eg, search engines, chatbots, question …
From good to best: Two-stage training for cross-lingual machine reading comprehension
Abstract Cross-lingual Machine Reading Comprehension (xMRC) is a challenging task due
to the lack of training data in low-resource languages. Recent approaches use training data …
to the lack of training data in low-resource languages. Recent approaches use training data …
Dureader_retrieval: A large-scale chinese benchmark for passage retrieval from web search engine
In this paper, we present DuReader_retrieval, a large-scale Chinese dataset for passage
retrieval. DuReader_retrieval contains more than 90K queries and over 8M unique …
retrieval. DuReader_retrieval contains more than 90K queries and over 8M unique …
Lingua Franca–Entity-Aware Machine Translation Approach for Question Answering over Knowledge Graphs
N Srivastava, A Perevalov, D Kuchelev… - Proceedings of the 12th …, 2023 - dl.acm.org
This research paper proposes an approach called Lingua Franca that improves machine
translation quality by utilizing information from a knowledge graph to translate named …
translation quality by utilizing information from a knowledge graph to translate named …
A system for answering simple questions in multiple languages
Our research focuses on the most prevalent type of queries—simple questions—exemplified
by questions like “What is the capital of France?”. These questions reference an entity such …
by questions like “What is the capital of France?”. These questions reference an entity such …
Prompt-WNQA: A prompt-based complex question answering for wireless network over knowledge graph
P Liu, B Qian, Q Sun, L Zhao - Computer Networks, 2023 - Elsevier
With the rapid development of wireless networks, the scale of network devices is constantly
expanding. Experts spend vast amounts of time consulting and dealing with various network …
expanding. Experts spend vast amounts of time consulting and dealing with various network …
Optimizing search advertising strategies: Integrating reinforcement learning with generalized second-price auctions for enhanced ad ranking and bidding
This paper explores the integration of strategic optimization methods in search advertising,
focusing on ad ranking and bidding mechanisms within E-commerce platforms. By …
focusing on ad ranking and bidding mechanisms within E-commerce platforms. By …