Results 191 to 200 of about 304,629 (283)

Development of Amazighe Named Entity Recognition System Using Hybrid Method

, 2015
Meryem Talha, Siham Boulaknadel, Driss Aboutajdine   +2 more
openalex   +1 more source

The Tower of Babel in science communication on social media: An analysis of linguistic diversity in Twitter mentions of scientific publications

Journal of the Association for Information Science and Technology, EarlyView.
Abstract To unravel the linguistic dynamics of science communication on social media, this study presents a large‐scale, cross‐disciplinary analysis of language use in over 21 million Twitter mentions of 6.7 million scientific publications. While English dominates—accounting for 90.8% of all mentions and serving as a bridging language for the ...
Yanqing Zhang, Zhichao Fang
wiley   +1 more source

Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition

, 2015
Timothy Baldwin, Marie-Catherine de Marneffe, Bo Han, Young-Bum Kim, Alan Ritter, Wei Xu   +5 more
openalex   +1 more source

A study of search result aggregation approaches for the digital humanities

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Searching across diverse information platforms, such as digital humanities archives, academic digital libraries, and encyclopedias, poses challenges in managing the queries issued to each platform and synthesizing the resources discovered. While search result aggregation interfaces address this problem, how best to present the search results ...
Milad Momeni, Orland Hoeber
wiley   +1 more source

Chinese Named Entity Recognition for Automobile Fault Texts Based on External Context Retrieving and Adversarial Training. [PDF]

Entropy (Basel)
Wang S, Sun L.
europepmc   +1 more source

Annotation guidelines for machine learning-based named entity recognition in microbiology

, 2006
Claire Nédellec, Philippe Bessières, Robert Bossy, Alain Kotoujansky, Alain-Pierre Manine   +4 more
openalex   +1 more source

Right answers to wrong questions: The dysfunctional nature of information needs

Journal of the Association for Information Science and Technology, EarlyView.
Abstract People frequently experience difficulties when seeking information to complete tasks. To overcome these difficulties, people require help. Regarding struggles with information needs, past research focuses on unclear information requests, such as ambiguous, under‐specified, and ill‐defined queries, and repairing these by user‐led strategies (e ...
Melanie A. Kilian, David Elsweiler, Ian Ruthven   +2 more
wiley   +1 more source

Improving dictionary-based named entity recognition with deep learning. [PDF]

Bioinformatics
Nastou K, Koutrouli M, Pyysalo S, Jensen LJ.   +3 more
europepmc   +1 more source

A Smart Algorithm for USE-Cases Production Based on Name Entity Recognition

, 2015
Rafeeq Al Hashemi, Moha'med Al‐Jaafreh, Tahseen Al-Ramadin, Ayman Al-Dmour   +3 more
openalex   +1 more source

Semantic primitives and compositionality: An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The term semantic primitives refers to a set of basic, atomic concepts from which all other (compound) concepts are constructed. It presupposes the principle of compositionality—the idea that complex items or expressions can be formed by combining simpler constituents.
Birger Hjørland
wiley   +1 more source