All Outputs (7)

Food safety news events classification via a hierarchical transformer model (2023)
Journal Article

In light of the significance of regulatory authorities and the rising demand for information disclosure, a vast amount of information on food safety news reports is readily accessible on the Internet. The extraction of such information for precise cl... Read More about Food safety news events classification via a hierarchical transformer model.

An Entropy-Based Method with a New Benchmark Dataset for Chinese Textual Affective Structure Analysis (2023)
Journal Article

Affective understanding of language is an important research focus in artificial intelligence. The large-scale annotated datasets of Chinese textual affective structure (CTAS) are the foundation for subsequent higher-level analysis of documents. Howe... Read More about An Entropy-Based Method with a New Benchmark Dataset for Chinese Textual Affective Structure Analysis.

TRIMOON: Two-Round Inconsistency-based Multi-modal fusion Network for fake news detection (2022)
Journal Article

Compared to ordinary news, fake news is characterized by faster dissemination and lower production cost and therefore causes a great social harm. For these reasons, the challenge to efficiently and accurately detect fake news has attracted a lot of a... Read More about TRIMOON: Two-Round Inconsistency-based Multi-modal fusion Network for fake news detection.

Detecting Personal Medication Intake in Twitter via Domain Attention-Based RNN with Multi-Level Features (2022)
Journal Article

Personal medication intake detection aims to automatically detect tweets that show clear evidence of personal medication consumption. It is a research topic that has attracted considerable attention to drug safety surveillance. This task is inevitabl... Read More about Detecting Personal Medication Intake in Twitter via Domain Attention-Based RNN with Multi-Level Features.

Aspect terms grouping via fusing concepts and context information (2020)
Journal Article

Variational Recurrent sequence to sequence retrieval for stepwise illustration (2020)
Journal Article

We address and formalise the task of sequence-to-sequence (seq2seq) cross-modal retrieval. Given a sequence of text passages as query, the goal is to retrieve a sequence of images that best describes and aligns with the query. This new task extends t... Read More about Variational Recurrent sequence to sequence retrieval for stepwise illustration.

Neural Caption Generation for News Images (2018)
Journal Article

Automatic caption generation of images has gained significant interest. It gives rise to a lot of interesting image-related applications. For example, it could help in image/video retrieval and management of vast amount of multimedia data available o... Read More about Neural Caption Generation for News Images.