yuhaozhang / dep-embedding-tf
A TensorFlow implementation of dependency-based word embeddings (dependency-based word2vec)
☆12Updated 8 years ago
Alternatives and similar repositories for dep-embedding-tf:
Users that are interested in dep-embedding-tf are comparing it to the libraries listed below
- Neural Reranking for Named Entity Recognition, accepted as regular paper at RANLP 2017☆23Updated 7 years ago
- Context Encoders (ConEc) as a simple but powerful extension of the word2vec model for learning word embeddings☆20Updated 4 years ago
- Document context language models☆22Updated 9 years ago
- ☆30Updated 6 years ago
- Cross-domain word representation learning☆10Updated 9 years ago
- ☆36Updated 7 years ago
- ☆21Updated 6 years ago
- Experiment with document similarity via Matt Kusner's MWD paper☆25Updated 8 years ago
- Pre-training character n-gram embeddings☆23Updated last year
- Dynamic Entity Summarization (DynES)☆21Updated 5 years ago
- FIGMENT☆15Updated 4 years ago
- A toolkit for generating paraphrase vector representations for words in context☆24Updated 9 years ago
- ☆28Updated 8 years ago
- ☆27Updated 7 years ago
- Cross-lingual Dependency Parsing Based on Distributed Representations☆20Updated 6 years ago
- ☆18Updated 8 years ago
- An Information Extraction Framework with Deep Learning developed at New York University☆16Updated 8 years ago
- My PyTorch playground for NLP☆14Updated 6 years ago
- Attempt at using LSTMs to predict semantic relatedness of sentences (a la Tai et al. in Improved Semantic Representations From Tree-Struc…☆22Updated 9 years ago
- This released code is for our ACL2018 paper "End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions". …☆16Updated 6 years ago
- Crowdsourced data for open domain relation classification from sentences☆21Updated 6 years ago
- ☆15Updated 10 years ago
- Bi-directional LSTM-CNNs-CRF for Italian Sequence Labeling☆11Updated 6 years ago
- ☆25Updated last year
- ☆46Updated 7 years ago
- ☆26Updated 8 years ago
- Modified BLEU score. Uses word2vec similarity instead of one to one similarity.☆7Updated 6 years ago