Results 61 to 70 of about 20,627 (210)
A Survey of Location Prediction on Twitter
, 2018 Locations, e.g., countries, states, cities, and point-of-interests, are central to news, emergency events, and people's daily lives. Automatic identification of locations associated with or mentioned in documents has been explored for decades.
Han, Jialong, Sun, Aixin, Zheng, Xin
core +1 more source
Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation
, 2019 We present a new local entity disambiguation system. The key to our system is a novel approach for learning entity representations. In our approach we learn an entity aware extension of Embedding for Language Model (ELMo) which we call Entity-ELMo (E-ELMo). Given a paragraph containing one or more named entity mentions, each mention is first defined as
Shahbazi, Hamed +4 more
openaire +2 more sources
Abortion restriction laws and mobility of scientists
Strategic Management Journal, EarlyView.Abstract Research Summary We track the enactment of targeted regulation of abortion providers (TRAP) laws in the United States and analyze 4.98 million person‐year mobility records for 535,568 biomedical scientists from 1990 to 2018. Our estimations reveal a 0.8–1.6 percentage‐point increase in scientists' relocation probability after states enacted ...
Beril Yalcinkaya, Waverly W. Ding
wiley +1 more source
Entity Linking for Queries by Searching Wikipedia Sentences
, 2017 We present a simple yet effective approach for linking entities in queries. The key idea is to search sentences similar to a query from Wikipedia articles and directly use the human-annotated entities in the similar sentences as candidate entities for ...
Lv, Weifeng +4 more
core +1 more source
Rulers on the road: Itinerant rule in the Holy Roman Empire, AD 919–1519
American Journal of Political Science, EarlyView.Abstract Itinerant rule, rule exercised through traveling, was a common yet insufficiently researched, premodern form of governance. Studying the determinants of ruler itineraries in the Holy Roman Empire, AD 919–1519, we argue that rulers' visits targeted “marginal” elites.
Carl Müller‐Crepon +3 more
wiley +1 more source
Entity Linking on Chinese Microblogs via Deep Neural Network
IEEE Access, 2018 Entity linking is the task of mapping mentions in text to target knowledge base, which is crucial to knowledge-base-related tasks such as knowledge fusion and knowledge base construction.
Weixin Zeng, Jiuyang Tang, Xiang Zhao
doaj +1 more source
IEEE Access, 2020 Entity linking (EL) is a task about natural language that links mentions of entities in text to corresponding entities that are in a knowledge base. Potential applications include question-answering systems, information extraction and knowledge base ...
Shuanghu Luo, Penglong Wang, Min Cao
doaj +1 more source
Adverse Drug Reaction Concept Normalization in Russian-Language Reviews of Internet Users
Big Data and Cognitive Computing, 2022 Mapping the pharmaceutically significant entities on natural language to standardized terms/concepts is a key task in the development of the systems for pharmacovigilance, marketing, and using drugs out of the application scope.
Alexander Sboev +6 more
doaj +1 more source
Unsupervised improvement of named entity extraction in short informal context using disambiguation clues [PDF]
, 2012 Short context messages (like tweets and SMS’s) are a potentially rich source of continuously and instantly updated information. Shortness and informality of such messages are challenges for Natural Language Processing tasks.
Habib, Mena B., Keulen, Maurice van
core +2 more sources
Digitizing Dignity: Analyzing Digital Twins Through the Lens of Multidimensional Human Dignity
Bioethics, EarlyView.ABSTRACT In precision medicine, digital twins—virtual models of patients created using personalized data and advanced machine learning—are potentially changing healthcare by predicting health outcomes and guiding medical decisions. However, their use raises complex ethical questions, particularly concerning their relationship to human dignity. Patients
Andrew J. Barnhart
wiley +1 more source