Aspect-based sentiment analysis deals with capturing sentiments expressed towards each aspect of entities. I have tried to collect and curate some publications form Arxiv that related to the aspect-based sentiment analysis, and the results were listed here. Please enjoy it!
Machine Translation ( MT) is the task of automatically converting one natural language to another, preserving the meaning of the input text, and producing fluent text in the output language. I have tried to collect and curate some publications form Arxiv that related to the machine translation for low resource language, and the results were listed here. Please enjoy it!
The main objective of extractive summarization can be concisely formulated as extracting text inputs containing information on the most important concepts described in the input text or texts. I have tried to collect and curate some publications form Arxiv that related to the extractive summarization, and the results were listed here. Please enjoy it!
Information Extraction refers to the automatic extraction of structured information such as entities, relationships between entities, and attributes that describe entities from unstructured sources. I have tried to collect and curate some publications form bioRxiv that related to the information extraction in biology, such as relation extraction and feature extraction. The results were listed here. Please enjoy it!
Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems, such as humans, learn in the presence of both labeled and unmarked data. I have tried to collect and curate some publications form Arxiv that related to the semi-supervised learning, and the results were listed here. Please enjoy it!