| zhezhaoa/ngram2vec |
638 |
|
0 |
0 |
over 6 years ago |
0 |
|
14 |
|
Python |
| Four word embedding models implemented in Python. Supporting arbitrary context features |
| dccuchile/spanish-word-embeddings |
248 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
other |
|
| Spanish word embeddings computed with different methods and from different corpora |
| devmount/GermanWordEmbeddings |
224 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets |
| uhh-lt/sensegram |
211 |
|
0 |
0 |
almost 5 years ago |
0 |
|
9 |
|
Python |
| Making sense embedding out of word embeddings using graph-based word sense induction |
| malllabiisc/WordGCN |
167 |
|
0 |
0 |
almost 6 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks |
| datquocnguyen/LFTM |
149 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
other |
Java |
| Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015) |
| fh295/SentenceRepresentation |
112 |
|
0 |
0 |
about 9 years ago |
0 |
|
8 |
|
Python |
| tca19/dict2vec |
88 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| Dict2vec is a framework to learn word embeddings using lexical dictionaries. |
| yangliuy/NeuralResponseRanking |
60 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| Data and Code on Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems (SIGIR 2018) |
| jneto04/ner-pt |
54 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
|
Perl |
| Portuguese Named Entity Recognition |
