jind11 / word2vec-on-wikipedia
A pipeline for training word embeddings using word2vec on wikipedia corpus.
☆71Updated 5 years ago
Alternatives and similar repositories for word2vec-on-wikipedia:
Users that are interested in word2vec-on-wikipedia are comparing it to the libraries listed below
- A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.☆67Updated 7 years ago
- Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation☆63Updated 6 years ago
- Accompanying code for our ACL-2017 publication on Neural End-to-End Learning for Computational Argumentation Mining☆59Updated 3 years ago
- ACL 2019: Zero-shot Word Sense Disambiguation using Sense Definition Embedding☆75Updated 3 months ago
- Summarization datasets from the New York Times Annotated Corpus☆47Updated 4 years ago
- An extractive neural network text summarization library for the EMNLP 2018 paper "Content Selection in Deep Learning Models of Summarizat…☆108Updated 5 years ago
- Code for neural-el - EMNLP'17☆85Updated last year
- Cross-Lingual Alignment of Contextual Word Embeddings☆98Updated 4 years ago
- Hierarchical Embeddings for Hypernymy Detection and Directionality☆26Updated 3 years ago
- Massively Multilingual Transfer for NER☆85Updated 3 years ago
- Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis☆34Updated 6 years ago
- Dict2vec is a framework to learn word embeddings using lexical dictionaries.☆115Updated 3 years ago
- [NAACL 2019] code for "Pragmatically Informative Text Generation" https://arxiv.org/abs/1904.01301☆47Updated 5 years ago
- Specialising Word Vectors for Lexical Entailment☆28Updated 6 years ago
- A python library to compute rouge score for summarization☆58Updated 2 years ago
- SideNet: Neural Extractive Summarization with Side Information☆57Updated 4 years ago
- This is the reference implementation of commonly used coreference metrics.☆74Updated 6 years ago
- A generalized input-label embedding for text classification☆23Updated 4 years ago
- Document Similarity for Texts of Varying Lengths via Hidden Topics☆40Updated 5 years ago
- The implementation of the paper "A Multi-task Approach for Named Entity Recognition on Social Media Data," which won the WNUT-2017 Shared…☆70Updated 7 years ago
- Code for paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction", ACL 2018☆65Updated 6 years ago
- Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow☆34Updated 4 years ago
- ☆210Updated 4 years ago
- A toolkit for discourse segmentation (EDU segmentation).☆100Updated last year
- Visualize BERT's self-attention layers on text classification tasks☆48Updated 5 years ago
- Word embedding approach based on a dynamic log-linear model☆55Updated 7 years ago
- Sume is an implementation of the concept-based ILP model for summarization.☆38Updated 6 years ago
- ICLR 2019 paper: "textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR"☆24Updated 5 years ago
- ☆22Updated 6 years ago