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sequence-labeling

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chashimo
chashimo commented Mar 17, 2020

I tried selecting hyper parameters of my model following "Tutorial 8: Model Tuning" below:
https://github.com/flairNLP/flair/blob/master/resources/docs/TUTORIAL_8_MODEL_OPTIMIZATION.md

Although I got the "param_selection.txt" file in the result directory, I am not sure how to interpret the file, i.e. which parameter combination to use. At the bottom of the "param_selection.txt" file, I found "

nikhiljsk
nikhiljsk commented Jun 24, 2019

System information

  • OS Platform and Distribution (e.g., Linux Ubuntu 16.04): 10.14.5
  • TensorFlow/Keras version: 1.14.0
  • Python version: 3.6.7

Describe the problem

While running the elmo_example.py file, In the 'Loading word embeddings' section of the code, the execution stops with the following error.

`
Traceback (most recent call last): File "elmo_example.py",

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

  • Updated Jun 1, 2020
  • OpenEdge ABL

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

  • Updated Jan 11, 2019
  • C#

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