Hongfei Lin
6 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
-
Globality‐Locality Preserving Maximum Variance Extreme Learning Machine
2019 · Complexity
An extreme learning machine (ELM) is a useful technique for machine learning; however, the existing extreme learning machine methods cannot exploit the geometric structure information or discriminate information of the data space well. Therefore, we …
-
Joint Entity and Relation Extraction for Legal Documents with Legal Feature Enhancement
2020
In recent years, the plentiful information contained in Chinese legal documents has attracted a great deal of attention because of the large-scale release of the judgment documents on China Judgments Online. It is in great …
-
Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction
2023
Sarcasm, as a form of irony conveying mockery and contempt, has been widespread in social media such as Twitter and Weibo, where the sarcastic text is commonly characterized as an incongruity between the surface positive …
-
Disentangling ID and Modality Effects for Session-based Recommendation
2024
Session-based recommendation aims to predict intents of anonymous users based on their limited behaviors. Modeling user behaviors involves two distinct rationales: co-occurrence patterns reflected by item IDs, and fine-grained preferences represented by item modalities (e.g., …
-
FocusMed: A Large Language Model-based Framework for Enhancing Medical Question Summarization with Focus Identification
2025 · arXiv (Cornell University)
With the rapid development of online medical platforms, consumer health questions (CHQs) are inefficient in diagnosis due to redundant information and frequent non-professional terms. The medical question summary (MQS) task aims to transform CHQs into …
-
An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition
2017 · Bioinformatics
Motivation: In biomedical research, chemical is an important class of entities, and chemical named entity recognition (NER) is an important task in the field of biomedical information extraction. However, most popular chemical NER methods are …