PrincetonML / SemanticVectorLinks
Word embedding approach based on a dynamic log-linear model
☆54Updated 7 years ago
Alternatives and similar repositories for SemanticVector
Users that are interested in SemanticVector are comparing it to the libraries listed below
Sorting:
- Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation☆63Updated 6 years ago
- utility class for building/evaluating document representations☆53Updated 5 years ago
- Code for upcoming TACL paper w/ Graham Neubig, "Neural Lattice Language Models".☆48Updated 7 years ago
- ☆44Updated 7 years ago
- Frame-Semantic and PropBank Semantic Role Labeling with Syntactic Scaffolding.☆50Updated 4 years ago
- LexNET: Integrated Path-based and Distributional Method for Lexical Semantic Relation Classification☆62Updated 6 years ago
- Text classification code described in "SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines" by Roy Schwartz, Sam Thomson and No…☆54Updated 3 years ago
- Code for EMNLP 2018 paper "Auto-Encoding Dictionary Definitions into Consistent Word Embeddings"☆36Updated 6 years ago
- data and scripts for the shared task "Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)" at SemEval 2015☆43Updated 4 years ago
- Zero-Shot Open Entity Typing as Type-Compatible Grounding, EMNLP'18.☆42Updated 5 years ago
- WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clus…☆82Updated 6 years ago
- Bayesian Skip-gram model☆47Updated 5 years ago
- Code to compute topic coherence for several topic cardinalities and aggregate scores across them☆22Updated 4 months ago
- ☆25Updated 2 years ago
- ☆47Updated 8 years ago
- Unsupervised Multilingual Word Embeddings (EMNLP 2018)☆81Updated 3 years ago
- Neural topic modeling☆29Updated 4 years ago
- Dict2vec is a framework to learn word embeddings using lexical dictionaries.☆114Updated 4 years ago
- ☆66Updated 2 years ago
- Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.☆43Updated 3 years ago
- Neural Vector Space Models☆49Updated 6 years ago
- A curated question answering research dataset of factoid questions☆49Updated 5 years ago
- Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)☆153Updated 5 years ago
- Incremental learning of word embeddings with context informativeness.☆94Updated 2 years ago
- Datasets for Question Answering by Search and Reading☆69Updated 7 years ago
- Large scale sentential paraphrases collection and annotation☆46Updated 2 years ago
- Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings☆53Updated 8 years ago
- pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference☆62Updated 2 years ago
- Keras implementation of ontology aware token embeddings☆49Updated 6 years ago
- Named Entity Disambiguation for Noisy Text☆66Updated 8 years ago