Results 1 to 10 of about 565,012 (288)
Location Mention Detection in Tweets and Microblogs
The automatic identification of location expressions in social media text is an actively researched task. We present a novel approach to detection mentions of locations in the texts of microblogs and social media. We propose an approach based on Noun Phrase extraction and n-gram based matching instead of the traditional methods using Named Entity ...
Shervin Malmasi, Mark Dras
doaj +2 more sources
Mention Detection Using Pointer Networks for Coreference Resolution [PDF]
A mention has a noun or noun phrase as its head and constructs a chunk that defines any meaning, including a modifier. Mention detection refers to the extraction of mentions from a document.
Cheoneum Park, Changki Lee, Soojong Lim
doaj +3 more sources
Open-domain Anatomical Entity Mention Detection [PDF]
Ananiadou, S +3 more
core +3 more sources
Identifying COVID-19 Personal Health Mentions From Tweets Using Masked Attention Model
Twitter has been an important platform for people to discuss and share health-related information. It provides a massive amount of data for real-time monitoring of infectious diseases (such as COVID-19) and freeing disease-prevention organizations from ...
Linkai Luo, Yue Wang, Daniel Y. Mo
doaj +1 more source
Distinguished representation of identical mentions in bio-entity coreference resolution
Background Bio-entity Coreference Resolution (CR) is a vital task in biomedical text mining. An important issue in CR is the differential representation of identical mentions as their similar representations may make the coreference more puzzling ...
Yufei Li +6 more
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Recent Trends in Biosensors for Environmental Quality Monitoring
The monitoring of environmental pollution requires fast, reliable, cost-effective and small devices. This need explains the recent trends in the development of biosensing devices for pollutant detection.
Simona Gavrilaș +3 more
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A mention-based system for revision requirements detection [PDF]
Exploring aspects of sentential meaning that are implicit or underspecified in context is important for sentence understanding. In this paper, we propose a novel architecture based on mentions for revision requirements detection. The goal is to improve understandability, addressing some types of revisions, especially for the Replaced Pronoun type.
Ruby, Ahmed +2 more
openaire +3 more sources
Responsive Fluorescent Coumarin–Cinnamic Acid Conjugates for α-Glucosidase Detection
α-Glucosidase is a potent drug target for treating type II diabetes mellitus. A great number of α-glucosidase inhibitors have been developed based on the molecular skeletons of bioactive natural products.
Dong Luo +9 more
doaj +1 more source
Adaptive Threshold-Based Tumor Detection Algorithm For Mammograms Images
Breast cancer is without doubt the leading cancer among women, and it is one of the most damaging illnesses to females that should be periodically checked. Early detection of breast cancer can reduce the mortality caused by this disease by 95%.
Taha Basheer Taha
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BackgroundThe prognosis, diagnosis, and treatment of many genetic disorders and familial diseases significantly improve if the family history (FH) of a patient is known.
Rybinski, Maciej +4 more
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