Results 41 to 50 of about 321,295 (333)
Neural Reranking for Named Entity Recognition
We propose a neural reranking system for named entity recognition (NER). The basic idea is to leverage recurrent neural network models to learn sentence-level patterns that involve named entity mentions.
Dong, Fei, Yang, Jie, Zhang, Yue
core +1 more source
Bipartite Flat-Graph Network for Nested Named Entity Recognition
In this paper, we propose a novel bipartite flat-graph network (BiFlaG) for nested named entity recognition (NER), which contains two subgraph modules: a flat NER module for outermost entities and a graph module for all the entities located in inner ...
Luo, Ying, Zhao, Hai
core +1 more source
Neural Named Entity Recognition for Kazakh
We present several neural networks to address the task of named entity recognition for morphologically complex languages (MCL). Kazakh is a morphologically complex language in which each root/stem can produce hundreds or thousands of variant word forms.
Tolegen, Gulmira +3 more
openaire +2 more sources
OWNER — Toward Unsupervised Open-World Named Entity Recognition
Named Entity Recognition (NER) is a crucial task in Natural Language Processing (NLP), traditionally addressed through supervised learning, which requires extensive annotated corpora. This requirement poses challenges, particularly in specialized domains
Pierre-Yves Genest +3 more
doaj +1 more source
Named Entity Recognition Using Web Document Corpus
This paper introduces a named entity recognition approach in textual corpus. This Named Entity (NE) can be a named: location, person, organization, date, time, etc., characterized by instances.
Karaa, Wahiba Ben Abdessalem
core +2 more sources
Named Entity recognition without gazetteers [PDF]
It is often claimed that Named Entity recognition systems need extensive gazetteers---lists of names of people, organisations, locations, and other named entities. Indeed, the compilation of such gazetteers is sometimes mentioned as a bottleneck in the design of Named Entity recognition systems.We report on a Named Entity recognition system which ...
Andrei Mikheev +2 more
openaire +3 more sources
Social media is widely used to share real-time information and report accidents during natural disasters. Named entity recognition (NER) is a fundamental task of geospatial information applications that aims to extract location names from natural ...
Wei Zhang +7 more
doaj +1 more source
Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity [PDF]
In this paper, we propose a named-entity recognition (NER) system that addresses two major limitations frequently discussed in the field. First, the system requires no human intervention such as manually labeling training data or creating gazetteers ...
Matwin, Stan +2 more
core +2 more sources
Deep learning-based methods for natural hazard named entity recognition
Natural hazard named entity recognition is a technique used to recognize natural hazard entities from a large number of texts. The method of natural hazard named entity recognition can facilitate acquisition of natural hazards information and provide ...
Junlin Sun +3 more
doaj +1 more source
HMM based Korean Named Entity Recognition [PDF]
In this paper, we present a named entity recognition model for Korean Language. Named entity recognition is an essential and important process of Question Answering and Information Extraction system.
Yi-Gyu Hwang +2 more
doaj

