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### Problem Description
I think that would be very useful to add NER like in Lime.
### Alternative Solutions
_No response_
### Additional Context
_No response_
### Feature request checklist
- […
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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, 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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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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## Goal
Fine-tune the PaliGemma model to accurately recognize and extract issue dates from images of cheques using entity recognition techniques.
## Description
The objective is to test PaliGemm…
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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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Apache UIMA and SolR siehe https://issues.apache.org/jira/browse/SOLR-11694