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Hi, really like your work, have you considered using this framework for few-shot named entity recognition work? or do you have an example code for it, looking forward to the progress in few-shot named…
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ner4soft is a service that can be used to detect named entities in software (e.g., libraries, organizations, licenses...). We should include a branch for leveraging somef by invoking the service. Note…
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## 一言でいうと
言語固有の知識やリソースに依存しないような固有表現認識の手法を提案した話。具体的には2つのモデル(LSTM-CRFとS-LSTM)を提案している。ラベル付きコーパスから学習した文字ベースの単語表現とラベルなしコーパスから学習した単語表現を入力とすることで、4つの言語でSOTAとなった。
### 論文リンク
https://arxiv.org/abs/1603.0136…
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Since that gluon-nlp already has very good tools for BERT and also that it has basic data processing for named entity recognition ready from https://github.com/dmlc/gluon-nlp/pull/466 , I wanted to bu…
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Named entity recognitions technology helps to identify named objects inside texts.
**Strong**
- allows to identify objects inside text blobs
- could allow to support more named entities (identi…
ivbeg updated
2 years ago
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# Multi-grained Named Entity Recognition
- authors: Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip Yu
- link: https://www.aclweb.org/anthology/P19-11…
himkt updated
5 years ago
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# 💡 Summary #
Use NLP to extract executives from stakeholder web page
## Motivation and context ##
The process of gathering executives for a stakeholder is time consuming and error prone and …
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I tried using SciBERT for NER using the following command-
from transformers import *
tokenizer = AutoTokenizer.from_pretrained('allenai/scibert_scivocab_uncased')
model = AutoModel.from_pretra…
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Hi , In Named entity recognition, the text data has an&sign, and the page will report an error, as shown in the figure. The label studio version ^ 1.0.1 used in the project is installed through npm.…
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- [x] Section1: NER With Lookup Tables
- [x] Develop code for NER with lookup tables
`[FILL HERE WITH THE ANSWER TO PROS AND CONS OF THIS METHOD]`
- [x] Section2: NER With Regex
- [x] Devel…