Results 31 to 40 of about 379,251 (377)
MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition [PDF]
International Conference on Computational Linguistics, 2022 We present AnonData, a large multilingual dataset for Named Entity Recognition that covers 3 domains (Wiki sentences, questions, and search queries) across 11 languages, as well as multilingual and code-mixing subsets.
S. Malmasi +4 more
semanticscholar +1 more source
Persian Named Entity Recognition [PDF]
2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2017 Named Entity Recognition (NER) is an important natural language processing (NLP) tool for information extraction and retrieval from unstructured texts such as newspapers, blogs and emails. NER involves processing unstructured text for classification of words or expressions into relevant categories.
Dashtipour, Kia +5 more
openaire +2 more sources
T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2022 Language model (LM) pretraining has led to consistent improvements in many NLP downstream tasks, including named entity recognition (NER). In this paper, we present T-NER (Transformer-based Named Entity Recognition), a Python library for NER LM ...
Asahi Ushio, José Camacho-Collados
semanticscholar +1 more source
Concept recognition as a machine translation problem
BMC Bioinformatics, 2021 Background Automated assignment of specific ontology concepts to mentions in text is a critical task in biomedical natural language processing, and the subject of many open shared tasks.
Mayla R. Boguslav +4 more
doaj +1 more source
Label Semantics for Few Shot Named Entity Recognition [PDF]
Findings, 2022 We study the problem of few shot learning for named entity recognition. Specifically, we leverage the semantic information in the names of the labels as a way of giving the model additional signal and enriched priors.
Jie Ma +6 more
semanticscholar +1 more source
Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition [PDF]
arXiv.org, 2022 Named entity recognition (NER) task aims at identifying entities from a piece of text that belong to predefined semantic types such as person, location, organization, etc.
Jianlin Su +7 more
semanticscholar +1 more source
ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer
IEEE Access, 2023 Named Entity Recognition is an information extraction task that serves as a pre-processing step for other natural language processing tasks, such as machine translation, information retrieval, and question answering.
Ebrahim Chekol Jibril, A. Cuneyd Tantug
doaj +1 more source
A Unified MRC Framework for Named Entity Recognition [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 The task of named entity recognition (NER) is normally divided into nested NER and flat NER depending on whether named entities are nested or not.Models are usually separately developed for the two tasks, since sequence labeling models, the most widely ...
Xiaoya Li +5 more
semanticscholar +1 more source
Named Entity Extraction for Knowledge Graphs: A Literature Overview
IEEE Access, 2020 An enormous amount of digital information is expressed as natural-language (NL) text that is not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for representing information in computer-processable form. Natural Language
Tareq Al-Moslmi +3 more
doaj +1 more source
Boundary Smoothing for Named Entity Recognition [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Neural named entity recognition (NER) models may easily encounter the over-confidence issue, which degrades the performance and calibration. Inspired by label smoothing and driven by the ambiguity of boundary annotation in NER engineering, we propose ...
Enwei Zhu, Jinpeng Li
semanticscholar +1 more source