Texts

Resume NER

Introduced in Chinese NER Using Lattice LSTM2017

About this Dataset

Resume contains eight fine-grained entity categories -score from 74.5% to 86.88%.

Source: Query-Based Named Entity Recognition Image Source: https://arxiv.org/pdf/1805.02023.pdf

Source: Chinese NER Using Lattice LSTM

Dataset Variants

Resume NER

Papers1

Chinese NER Using Lattice LSTM

A lattice-structured LSTM model for Chinese NER, which encodes a sequence of input characters as well as all potential words that match a lexicon, is investigated, which outperforms both word-based and character-based L STM baselines.

Tasks

EDIT

Chinese Named Entity Recognition

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Statistics

Papers

1

Tasks

0

Introduced

2017

Modalities

Texts

Languages

EnglishChinese