wcmac / sippycupLinks
SippyCup is a simple semantic parser, written in Python, created purely for didactic purposes.
☆220Updated 7 years ago
Alternatives and similar repositories for sippycup
Users that are interested in sippycup are comparing it to the libraries listed below
Sorting:
- Retrofitting Word Vectors to Semantic Lexicons☆376Updated 6 years ago
- SemCor and Masc documents annotated with NOAD word senses.☆184Updated 5 years ago
- ☆472Updated 3 years ago
- A list of Neural MT implementations☆365Updated 3 years ago
- Reinforcement learning for natural language processing reading group☆310Updated 7 years ago
- NLP reading group at the University of Arizona☆212Updated this week
- Jack the Reader☆260Updated 6 years ago
- Materials from the ACL 2018 tutorial on neural semantic parsing☆404Updated 7 years ago
- ☆269Updated 5 years ago
- Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)☆153Updated 6 years ago
- A tutorial about neural machine translation including tips on building practical systems☆369Updated 9 years ago
- ☆214Updated 7 years ago
- Graph-based and Transition-based dependency parsers based on BiLSTMs☆275Updated 8 years ago
- Stanford NLP group's shared Python tools.☆136Updated 7 years ago
- ☆395Updated 2 years ago
- This repository contains the three WikiReading datasets as used and described in WikiReading: A Novel Large-scale Language Understanding …☆271Updated 7 years ago
- Large corpus of uncompressed and compressed sentences from news articles.☆125Updated 8 years ago
- Tools for using Maluuba's NewsQA Dataset (public version)☆255Updated 3 years ago
- A toolkit for coreference resolution and error analysis.☆128Updated 5 years ago
- Demonstration code for Liang and Potts 2015☆79Updated 9 years ago
- Deep-Learning Model Exploration and Development for NLP☆244Updated 2 years ago
- Recurrent & convolutional neural network modules☆355Updated 7 years ago
- Formerly known as code.google.com/p/1-billion-word-language-modeling-benchmark☆450Updated 9 years ago
- A system for generating training labels via natural language explanations☆146Updated 6 years ago
- Concatenated Power Mean Embeddings as Universal Cross-Lingual Sentence Representations☆187Updated 4 years ago
- SPINN (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs☆206Updated 7 years ago
- Package for evaluating word embeddings☆439Updated 4 years ago
- Python wrapper for Stanford CoreNLP☆355Updated 4 years ago
- Neural network sequence labeling model☆251Updated 7 years ago
- ☆56Updated 7 years ago