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dynet
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预训练word-embedding来源
2
zjuwfz
commented
Dec 21, 2018
您好，我最近在做bilstm-crf分词实验，使用了您项目中预训练的word-embedding之后结果提升了两个点。所以想问一下您的word-embedding来源是哪，还是自己训练的？
DeNeutoy
commented
Nov 12, 2018
It's a little annoying that the anonymised variable names sometimes but not always correspond to the table/column name they come from. E.g in some datasets like academic, the variable name is derived from the column name:
"sql": [
"SELECT JOURNALalias0.HOMEPAGE FROM JOURNAL AS JOURNALalias0 WHERE JOURNALalias0.NAME = \"journal_name0\" ;"
],
"variables":
A Japanese tokenizer based on recurrent neural networks
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Jun 11, 2020 - Python
A frame-semantic parsing system based on a softmax-margin SegRNN.
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Jan 28, 2020 - Python
Source code for an ACL2017 paper on Chinese word segmentation
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Jan 8, 2019 - Python
BiLSTM-CRF for sequence labeling in Dynet
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Jun 15, 2017 - Python
Source code for an ACL2016 paper of Chinese word segmentation
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Jan 8, 2019 - Python
Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.
nlp
natural-language-processing
conll
semantic-parser
dynet
syntactic-parser
transition-based-parser
joint-parser
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Apr 5, 2017 - C++
Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet
natural-language-processing
deep-learning
neural-network
generative-model
dynet
variational-autoencoder
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Nov 6, 2017 - Python
An Implementation of Transformer (Attention Is All You Need) in DyNet
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Aug 20, 2018 - C++
code for the paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction" ACL 2018
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Oct 10, 2018 - Python
Code for the paper "Extreme Adaptation for Personalized Neural Machine Translation"
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May 7, 2018 - Python
Source code for the paper "Morphological Inflection Generation with Hard Monotonic Attention"
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Jun 9, 2018 - Python
An attentional NMT model in Dynet
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Dec 5, 2018 - Python
See http://github.com/onurgu/joint-ner-and-md-tagger This repository is basically a Bi-LSTM based sequence tagger in both Tensorflow and Dynet which can utilize several sources of information about each word unit like word embeddings, character based embeddings and morphological tags from an FST to obtain the representation for that specific word unit.
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Jul 6, 2018 - sed
DyNet implementation of stack LSTM experiments by Grefenstette et al.
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Oct 6, 2017 - Python
Selective Encoding for Abstractive Sentence Summarization in DyNet
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Nov 5, 2017 - Python
Dataset and model for disentangling chat on IRC
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May 14, 2020 - Python
A Neural Attention Model for Abstractive Sentence Summarization in DyNet
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May 3, 2018 - Python
Neural morphological disambiguation for Turkish. Implemented in DyNet
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Sep 12, 2019 - Python
Convolutional Neural Networks for Sentence Classification in DyNet
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Nov 11, 2017 - Python
Turkish Morphological Analyzer with dictionaries for stems and suffixes + Neural Morphological Disambiguation implemented in DyNet
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Jul 16, 2019 - Python
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs
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May 6, 2019 - C++
PoS Tagging with Bidirectional Long Short-Term Memory Models
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Dec 18, 2018 - Python
a simple modification of Chris Dyer's stack LSTM Parser
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Sep 2, 2018 - Python
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Looks like spacy 2.1 --> 2.2 has changed the way lemmatizer objects are built. See stack-overflow answer for details.
I can update the library to account for this migration. I have a fork that I can create a pull request from. Let me know.
Steps to reproduce the behavior:
Run
"fr