Results 91 to 100 of about 2,690,170 (252)

Extension Economists: Valued in Mission, Penalized in Practice

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT As the public engagement arm of the land‐grant mission, we argue that Extension faculty in US agricultural economics departments face an identity crossroads as they struggle for institutional support. Specifically, we argue that Extension economists function as boundary‐spanning professionals within academic structures that often devalue ...
Trey Malone, Craig W. Carpenter, Courtney Bir, Andrew J. Van Leuven, Rebecca Wasserman‐Olin, Wendong Zhang   +5 more
wiley   +1 more source

Precursor-induced conditional random fields: connecting separate entities by induction for improved clinical named entity recognition

BMC Medical Informatics and Decision Making, 2019
Background This paper presents a conditional random fields (CRF) method that enables the capture of specific high-order label transition factors to improve clinical named entity recognition performance.
Wangjin Lee, Jinwook Choi
doaj   +1 more source

Zero-shot named entity recognition

ZERO-SHOT NAMED ENTITY RECOGNITION Zero-shot named entity recognition ...
Polleres, Axel, Gahleitner, Linda Maria, Wirtschaftsuniversität Wien   +2 more
core   +1 more source

Named Entity Recognition

, 2014
In this master thesis are described the history and theoretical background of named-entity recognition and implementation of the system in C++ for named entity recognition and disambiguation.
Rylko, Vojtěch
core  

Features that are generally used for SVM named entity recognition.

, 2013
Features that are generally used for SVM named entity recognition.
Bairong Shen (166580), Fei Zhu (196714)
core   +1 more source

Value of Information of Improved Traceability in Fresh Produce Markets

Agribusiness, EarlyView.
ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris, Mark R. Manfredo, Michael N. Kozicki   +2 more
wiley   +1 more source

Named Entity Recognition with Bidirectional LSTM-CNNs

Transactions of the Association for Computational Linguistics, 2021
Jason P.C. Chiu, Eric Nichols
doaj   +1 more source

Drug named entity recognition

<p>This is a lightweight Python library for finding drug names in a string, otherwise known as <a href="https://fastdatascience.com/named-entity-recognition/" rel="nofollow">named entity recognition (NER)</a> and named entity ...
Wood, Thomas A
core   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

CodeNER: Code Prompting for Named Entity Recognition

IEEE Access
Recent studies have explored various approaches for treating candidate named entity spans as both source and target sequences in named entity recognition (NER) by leveraging large language models (LLMs).
Sungwoo Han, Hyeyeon Kim, Jingun Kwon, Hidetaka Kamigaito, Manabu Okumura   +4 more
doaj   +1 more source