Munich

Barbara Plank

Elite
@bplank

Professor/Chair for AI & Computational Linguistics, LMU Munich, head MaiNLP lab, co-director Center for Language & Information Processing, part-time Prof ITU.dk

bplank.github.io

awesome-neural-adaptation-in-NLP. Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632

266

bilstm-aux. Bidirectional Long-Short Term Memory tagger (bi-LSTM) (in DyNet) -- hierarchical (with word and character embeddings)

123

semi-supervised-baselines. Code for "Strong Baselines for Neural Semi-supervised Learning under Domain Shift" (Ruder & Plank, 2018 ACL)

60

ijcnlp2017-customer-feedback. Code for "All-In-1: Short Text Classification with One Model for All Languages" - Plank (2017), IJCNLP 2017 shared task 4

16

sp. Simple Structured Perceptron tagger in Python

10

domainsim. Measures of Domain Similarity

5

DaNplus. DaN+ corpus: Danish Nested Named Entities and Lexical Normalization

4

2018-ma-notebooks. Jupyter Notebook

4

teaching-dl4nlp.

4

twitter_api_examples. A tiny Twitter tutorial

4

multilingualtokenizer. A trivial punctuation-based sentence splitter and tokenizer for multilingual data.

4

nested-ner.

3

danish_ner_transfer. Danish Named Enity Recognition (NER)

3

wnut-2017-pos-norm. Resources for (van den Goot et al., 2017) - WNUT 2017

3

ltp-notebooks-2017. Language Technology Project (LTP) 2017

3

aat. Python

2

ltp-notebooks-2016. Language Technology Project (LTP) 2016

2

coling2016ks. Jupyter Notebook

2

install-ubuntu18.04-CUDA-tensorflow-keras.

2

2019-ma-notebook. Jupyter Notebook

2

slam-2018. SLAM 2018

2

BA-scriptie. Teaching material (including intro to ML using sklearn)

1

tinyexercise. Python

1

example_ff. a very simple feedforward neural network example in Keras

1

BA-scriptie-2017. Jupyter Notebook

1

2017-CollectingData. Jupyter Notebook

1

bleaching-text. Code for "Bleaching Text: Abstract Features for Cross-lingual Gender Prediction" (van der Goot et al., 2018)

1

myconllutils. various Python utilities for manipulating CoNLL (dependency parsing) files

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