Results 41 to 50 of about 254,529 (285)
A Gentle Introduction to Named Entity Processing for Historical Texts
, 2023 Slides of my invited talk A Gentle Introduction to Named Entity Processing for Historical Texts at the workshop "Digital Antiquity : Digital Perspectives for Ancient Texts", organised by Caroline Richard and Camille Denizot and held at Sorbonne University, Paris on June 16, 2023.
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FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristics [PDF]
Journal of Cheminformatics, 2015 The development of robust methods for chemical named entity recognition, a challenging natural language processing task, was previously hindered by the lack of publicly available, large-scale, gold standard corpora. The recent public release of a large chemical entity-annotated corpus as a resource for the CHEMDNER track of the Fourth BioCreative ...
Batista-Navarro, Riza +2 more
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Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity
Arthritis Care &Research, EarlyView.Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley +1 more source
DarNERcorp: An annotated named entity recognition dataset in the Moroccan dialect
Data in Brief, 2023 DarNERcorp is a manually annotated named entity recognition (NER) dataset in the Moroccan dialect, also called Darija. The dataset consists of 65,905 tokens and their corresponding tags according to BIO scheme.
Hanane Nour Moussa, Asmaa Mourhir
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Named Entity Recognition in Twitter using Images and Text
, 2017 Named Entity Recognition (NER) is an important subtask of information extraction that seeks to locate and recognise named entities. Despite recent achievements, we still face limitations with correctly detecting and classifying entities, prominently in ...
Esteves, Diego +3 more
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Mining Web Sites Using Wrapper Induction, Named Entities, and Post-processing
, 2004 This paper presents a new framework for extracting information from collections of Web pages across different sites. In the proposed framework, a standard wrapper induction algorithm is used that exploits named entity information that has been previously identified.
Sigletos, G. +3 more
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[Slides] HIPE 2022 Evaluation Lab - Named Entity Processing in Multilingual Historical Documents
, 2022 Slide from the Lab Overview presentation at CLEF 2022, Bologna, Italy.
Maud, Ehrmann +4 more
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What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Learning the Morphological and Syntactic Grammars for Named Entity Recognition
Information, 2022 In some languages, Named Entity Recognition (NER) is severely hindered by complex linguistic structures, such as inflection, that will confuse the data-driven models when perceiving the word’s actual meaning.
Mengtao Sun +4 more
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