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Research on Cross-Language Cultural Communication Under “Internet Plus”
The rapid development of Internet technology is changing people's lives imperceptibly. It is of great significance to explore the use of new...
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CLF-Net: A Few-Shot Cross-Language Font Generation Method
Designing a font library takes a lot of time and effort. Few-shot font generation aims to generate a new font library by referring to only a few...
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Unsupervised Deep Cross-Language Entity Alignment
Cross-lingual entity alignment is the task of finding the same semantic entities from different language knowledge graphs. In this paper, we propose...
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Cross-Language Text Search Algorithm Based on Context-Compatible Algorithms
In this era of knowledge explosion, the Internet is filled with a flood of information; however, complex and various. With the increasing close...
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Cross-Lingual Name Entity Recognition from Clinical Text Using Mixed Language Query
Cross-lingual Named Entity Recognition (Cross-Lingual NER) addresses the challenge of NER with limited annotated data in low-resource languages by...
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Cross-Domain and Cross-Language Irony Detection: The Impact of Bias on Models’ Generalization
Irony is a complex linguistic phenomenon that has been extensively studied in computational linguistics across many languages. Existing research has...
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Translate-Distill: Learning Cross-Language Dense Retrieval by Translation and Distillation
Prior work on English monolingual retrieval has shown that a cross-encoder trained using a large number of relevance judgments for query-document...
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Building Cross-language Corpora for Human Understanding of Privacy Policies
Making sure that users understand privacy policies that impact them is a key challenge for a real GDPR deployment. Research studies are mostly...
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Recommendation Method of Cross-language Computer Courses
In traditional course recommendation methods, courses are usually recommended through a single language content. However, learners can not be...
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Research on Language Learning and Cross-Cultural Function Based on Mobile Digital Platform
From the perspective of linguistics and cross-cultural communication, this paper analyzes three theoretical problems about confusion and anxiety in...
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One True Pairing: Evaluating Effective Language Pairings for Fake News Detection Employing Zero-Shot Cross-Lingual Transfer
Fake news poses a great threat to democracy, human rights, health and more. Its viral proliferation, especially in low-resource languages,...
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Can cross-domain term extraction benefit from cross-lingual transfer and nested term labeling?
Automatic term extraction (ATE) is a natural language processing task that eases the effort of manually identifying terms from domain-specific...
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Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models
The advent of transformer-based models such as BERT has led to the rise of neural ranking models. These models have improved the effectiveness of...
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Multilingual mixture attention interaction framework with adversarial training for cross-lingual SLU
Cross-lingual spoken language understanding (cross-lingual SLU), as a key component of task-oriented dialogue systems, is widely used in various...
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Phrase based code-switching for cross-lingual question understanding
Cross-lingual question understanding involves identifying named entities and question intent in the target language based on corresponding texts from...
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Enhancing low-resource cross-lingual summarization from noisy data with fine-grained reinforcement learning
Cross-lingual summarization (CLS) is the task of generating a summary in a target language from a document in a source language. Recently, end-to-end...
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Detecting Cross-language Memory Management Issues in Rust
Rust is a promising system-level programming language that can prevent memory corruption bugs using its strong type system and ownership-based memory...
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Improving Cross-Modal Visual Answer Localization in Chinese Medical Instructional Video Using Language Prompts
The growing popularity of video content for acquiring knowledge highlights the need for efficient methods to extract relevant information from...
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Multi-step Review Generation Based on Masked Language Model for Cross-Domain Aspect-Based Sentiment Analysis
It has been proved that supervised learning methods are effective for Aspect-Based Sentiment Analysis (ABSA). However, the supervised learning...
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Patapasco: A Python Framework for Cross-Language Information Retrieval Experiments
While there are high-quality software frameworks for information retrieval experimentation, they do not explicitly support cross-language information...