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# Neural Cross-Lingual Named Entity Recognition with Minimal Resources
- authors: Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime Carbonell
- link: https://www.aclweb.org/anthology/D18-…
himkt updated
5 years ago
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- uid: unsupervised_cross_lingual_representation_learning_at_scale
- type: processed
- description:
- name: Unsupervised Cross-lingual Representation Learning at Scale
- description: This pap…
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Hi,
Any idea why XLMR results on UDPOS are so bad for Japanese, Chinese and Yoruba?
Thanks
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Hi,
Seems really interesting.
I would be interested in seeing the performance on WMT2016 and WMT2012. 😃
Good job!
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Hi,
I read your code and found there are two problems that hinder the performance improvement.
First, as I know, previous papers use head words of entity mentions as the candidate arguments, but…
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I just found polyglot, which seems to be FANTASTIC for dealing with all sorts of NLP problems in multiple languages. I want to use it for Swedish texts so I got to work and tested it on some real worl…
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# Massively Multilingual Transfer for NER
- authors: Afshin Rahimi, Yuan Li, Trevor Cohn
- link: https://www.aclweb.org/anthology/P19-1015
- venue: ACL 2019
himkt updated
5 years ago
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In this issue you can either:
- Add papers that you think are interesting to read and discuss (please stick to the format).
- vote: should be done using :+1: on comments
Example: https://githu…
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Users currently have large volumes of existing legal contracts, containing a wide variety of legal clauses. E.g. the contracts may contain 90 day payment terms, acceptance of delivery clauses etc.
…
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* TextAnonymization version:
* Python version: 3.8.13
* Operating System: Windows, Ubuntu Linux
### Description
I installed DaAnonymization with pip a week ago an tried to run your example fro…