Results 91 to 100 of about 179,841 (273)
Named Entity Recognition, Linking and Generation for Greek Legislation
We investigate named entity recognition in Greek legislation using state-of-the-art deep neural network architectures. The recognized entities are used to enrich the Greek legislation knowledge graph with more detailed information about persons, organizations, geopolitical entities, legislation references, geographical landmarks and public document ...
Angelidis, I. +2 more
openaire +2 more sources
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin +5 more
wiley +1 more source
Key technologies and research progress of medical knowledge graph construction
With the continuous iterative updating of Internet technology, the semantic understanding of massive data is becoming more and more important.Knowledge graph is a kind of semantic network that reveals the relationship between entities.Medicine is one of ...
Ling TAN +10 more
doaj
Abstract This paper derives a firm‐level threshold, the Herfindahl Neutral Point, from the standard concentration index used in merger review. At this threshold, a marginal expansion leaves the index unchanged. Firms below the threshold reduce concentration when they expand; firms above it increase concentration.
Andrew J. Keller, Krishna P. Paudel
wiley +1 more source
Knowledge Base Question Answering With Attentive Pooling for Question Representation
This paper presents a neural network model for a knowledge base (KB)-based single-relation question answering (SR-QA). This model is composed of two main modules, i.e., entity linking and relation detection.
Run-Ze Wang, Zhen-Hua Ling, Yu Hu
doaj +1 more source
Abstract Substance use, specifically opioid and methamphetamine use, is of increasing concern among American Indian (AI) populations in the Great Plains. This community‐driven participatory study investigated the impacts of substance use and community‐defined needs in treating addiction.
Brynn Luger +8 more
wiley +1 more source
Modular Bibliographical Profiling of Historic Book Reviews
This paper examines different methods of predicting bibliographical details (e.g. author, title, and publisher) of books under review in a corpus of approximately 1,100 historical book reviews.
Matthew J. Lavin
doaj +1 more source
Bio-YODIE: A Named Entity Linking System for Biomedical Text [PDF]
Ever-expanding volumes of biomedical text require automated semantic annotation techniques to curate and put to best use. An established field of research seeks to link mentions in text to knowledge bases such as those included in the UMLS (Unified Medical Language System), in order to enable a more sophisticated understanding.
Gorrell, G., Song, X., Roberts, A.
openaire +3 more sources
ABSTRACT The rare X‐linked female‐restricted Hardikar syndrome (HDKR, OMIM # 301068) is characterized by multiple congenital anomalies including orofacial clefts, gastrointestinal, genitourinary, and cardiac anomalies, but cognitive and neurobehavioral development is rarely impaired.
Tinne Warmoeskerken +4 more
wiley +1 more source
UNIMIB@NEEL-IT : Named Entity Recognition and Linking of Italian Tweets [PDF]
This paper describes the framework proposed by the UNIMIB Team for the task of Named Entity Recognition and Linking of Italian tweets (NEEL-IT). The proposed pipeline, which represents an entry level system, is composed of three main steps: (1) Named Entity Recognition using Conditional Random Fields, (2) Named Entity Linking by considering both ...
Cecchini, F +6 more
openaire +5 more sources

