Can some examples for training and evaluation of model be provided?

zhongkaifu / Seq2SeqSharp

Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.

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Can some examples for training and evaluation of model be provided? #6

Closed erotavlas closed 5 years ago

erotavlas commented 5 years ago

Hello, Can you provide example input training files? In particular I was wondering how to use this for named entity recognition. How do we represent the tagged entities in the training data?

zhongkaifu commented 5 years ago

In homepage, "Data Format" section shows what's the training corpus look like and examples. Seq2SeqSharp is used for text generation, for named entity recognition, you could try RNNSharp or CRFSharp (it's CPU only, doesn't support GPU).

erotavlas commented 5 years ago

Thank you for the quick reply. I will take a look at RNNSharp.