Maihemuti Maimaiti
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View article: Genre: generative multi-turn question answering with contrastive learning for entity–relation extraction
Genre: generative multi-turn question answering with contrastive learning for entity–relation extraction Open
Extractive approaches have been the mainstream paradigm for identifying overlapping entity–relation extraction. However, limited by their inherently methodological flaws, which hardly deal with three issues: hierarchical dependent entity–r…
View article: An Adaptive Mixup Hard Negative Sampling for Zero-Shot Entity Linking
An Adaptive Mixup Hard Negative Sampling for Zero-Shot Entity Linking Open
Recently, the focus of entity linking research has centered on the zero-shot scenario, where the entity purposed to be labeled at the time of testing was never observed during the training phase, or it may belong to a different domain than…
View article: An Adaptive Mixup Hard Negative Sampling for Zero-Shot Entity Linking
An Adaptive Mixup Hard Negative Sampling for Zero-Shot Entity Linking Open
Recently, the focus of entity linking research has centered on the zero-shot scenario, where the entity mention to be labeled at the time of testing was never observed during the training phase or may belong to a different domain than the …
View article: A Neural-Network-Based Approach to Chinese–Uyghur Organization Name Translation
A Neural-Network-Based Approach to Chinese–Uyghur Organization Name Translation Open
The recognition and translation of organization names (ONs) is challenging due to the complex structures and high variability involved. ONs consist not only of common generic words but also names, rare words, abbreviations and business and…
View article: Research on Uyghur Pattern Matching Based on Syllable Features
Research on Uyghur Pattern Matching Based on Syllable Features Open
Pattern matching is widely used in various fields such as information retrieval, natural language processing (NLP), data mining and network security. In Uyghur (a typical agglutinative, low-resource language with complex morphology, spoken…
View article: A Syllable-Based Technique for Uyghur Text Compression
A Syllable-Based Technique for Uyghur Text Compression Open
To improve utilization of text storage resources and efficiency of data transmission, we proposed two syllable-based Uyghur text compression coding schemes. First, according to the statistics of syllable coverage of the corpus text, we con…
View article: Bidirectional Long Short-Term Memory Network with a Conditional Random Field Layer for Uyghur Part-Of-Speech Tagging
Bidirectional Long Short-Term Memory Network with a Conditional Random Field Layer for Uyghur Part-Of-Speech Tagging Open
Uyghur is an agglutinative and a morphologically rich language; natural language processing tasks in Uyghur can be a challenge. Word morphology is important in Uyghur part-of-speech (POS) tagging. However, POS tagging performance suffers f…