openedx-unsupported / ease
EASE (Enhanced AI Scoring Engine) is a library that allows for machine learning based classification of textual content. This is useful for tasks such as scoring student essays.
☆216Updated 2 years ago
Alternatives and similar repositories for ease:
Users that are interested in ease are comparing it to the libraries listed below
- Neural Essay Assessor: An Automated Essay Scoring System Based on Deep Neural Networks☆207Updated 7 years ago
- Source code for the paper A Memory-Augmented Neural Model for Automated Grading☆118Updated 5 years ago
- Baseline models, training scripts, and instructions on how to reproduce our results for our state-of-art grammar correction system from M…☆73Updated 5 years ago
- Automatically exported from code.google.com/p/berkeleyparser☆180Updated 4 years ago
- Neural Language Correction implemented on Tensorflow☆156Updated 2 years ago
- A word alignment tool based on famous GIZA++, extended to support multi-threading, resume training and incremental training.☆162Updated 3 years ago
- SemCor and Masc documents annotated with NOAD word senses.☆183Updated 5 years ago
- Automatically exported from code.google.com/p/berkeleylm☆98Updated 9 years ago
- A BiRNN framework implemented in Python and TensorFlow to extract parallel sentences from aligned comparable corpora.☆33Updated 6 years ago
- Stanford NLP group's shared Python tools.☆137Updated 7 years ago
- Statistical Machine Translation implementation with Python: especially IBM Model1, 2, and phrase-based machine translation.☆81Updated 10 years ago
- ☆316Updated 2 years ago
- Statistical NLG for spoken dialogue systems☆206Updated 3 years ago
- Ollie is a open information extractor that uses bootstrapped dependency paths.☆244Updated 7 years ago
- Neural network sequence labeling model☆250Updated 6 years ago
- Attention-based NMT with Coverage, Context Gate, and Reconstruction☆94Updated 4 years ago
- N3 - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format☆70Updated 7 years ago
- Code and model files for the paper: "A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction" (AAAI-18…☆184Updated 6 years ago
- Answer Sentence Selection using Deep Learning☆63Updated 9 years ago
- A neural network architecture for NLP tasks, using cython for fast performance. Currently, it can perform POS tagging, SRL and dependency…☆407Updated 3 years ago
- Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".☆124Updated 8 years ago
- Easy Bootstrap Resampling and Approximate Randomization for BLEU, METEOR, and TER using Multiple Optimizer Runs. This implements "Better …☆204Updated 2 years ago
- This is a mirror of the script by Giuseppe Attardi, and contains history before the official repo started: https://github.com/attardi/wik…☆259Updated 8 years ago
- A statistical machine translation (SMT)-based grammatical error correction system that makes use of neural network joint models (NNJM) an…☆25Updated 6 years ago
- Evaluation Metrics for the Hewlett Foundation's Automated Essay Scoring competition☆38Updated 13 years ago
- Different datasets for developing and testing keyword extraction algorithms☆109Updated 9 years ago
- Decoder, aligner, and model optimizer for statistical machine translation and other structured prediction models based on (mostly) contex…☆185Updated 4 years ago
- Train bilingual embeddings as described in our NAACL 2015 workshop paper "Bilingual Word Representations with Monolingual Quality in Mind…☆76Updated 5 years ago
- Implementation of the Convolution Neural Network for factoid QA on the answer sentence selection task☆197Updated 8 years ago
- JFLEG (JHU FLuency-Extended GUG) corpus for Grammatical Error Correction Evaluation☆113Updated last year