transformers
- Text Summarisation Techniques (13 Aug 2023)
An overview of text summarisation techniques, covering extractive approaches that select representative phrases, abstractive ones that generate new text, and comparative summarisation.
retrieval-augmented-generation
Haystack
viterbi
sequence-prediction
evaluation-metrics
scikit-learn
pos-tags
named-entity-recognition
embeddings
conditional-random-fields
classification
word2vec
triplet-loss
syntactic-dependencies
sentence-transformers
relationship-extraction
neural-networks
information-retrieval
fine-tuning
coursera
conference
SyntaxNet
NLTK
LSTM
wikidata
transformers
tokenization
tf-idf
text-summarisation
semantic-web
semantic-drift
resources
reference-post
production
portuguese
political-science
naive-bayes
multi-label-classification
monitoring
mlops
metadata-extraction
maximum-entropy-markov-models
logistic-regression
llms
language-models
information-extraction
imbalanced-data
hyperparameter-optimization
hidden-markov-models
grid-search
gensim
generative-ai
fasttext
document-classification
doc2vec
deployment
dependency-graph
dataset
data-challenge
convolutional-neural-networks
contrastive-learning
books
attention
SPARQL
RNN
PyData
KONVENS
GRU