pgcool Goto Github PK
Type: User
Bio: Machine Learning, Deep Learning, Natural Language Processing, Information Extraction, Topic Modeling, Representation learning, probabilistic/generative modeling
Location: Munich
pgcool's Projects
cross-sentence-relation-extraction-idepnn
idocnade
Document Informed Neural Autoregressive Topic Models
idocnadee
AAAI 2019 paper: "Document Informed Neural Autoregressive Topic Models with Distributional Prior" (a Contextualized Neural Topic Model with Word Embeddings). Models: DocNADE, iDocNADE, DocNADEe and iDocNADEe
joint-bootstrapping-machines
Joint Bootstrapping Machines for High Confidence Relation Extraction : NAACL-HLT 2018 Long Paper.
lifelong-neural-topic-modeling
Neural Topic Modeling with Continual Lifelong Learning (ICML 2020)
node2vec
pke
Python Keyphrase Extraction module
slot-filling-and-relation-extraction
Master thesis work
sphinxtechnicalwriting
A blog about my experience using Sphinx for modern technical writing
technical-reports
Master Projects
texttovec
ICLR 2019 paper: "textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR"
tf-mtrnn
COLING2016: Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction
tmbp
DocNADE
word2vec
Automatically exported from code.google.com/p/word2vec
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