carolinlawrence Goto Github PK

bert

TensorFlow code and pre-trained models for BERT

bilingualcorpus

bison

Code for bidirectional sequence generation (BiSon) for generating from BERT pre-trained models.

carolinlawrence.github.io

cdec-semparse

Decoder, aligner, and model optimizer for statistical machine translation and other structured prediction models based on (mostly) context-free formalisms. This fork adds components for semantic parsing.

clkp-mtkbc

Cross-lingual Knowledge Projection Using Machine Translation and Target-side Knowledge Base Completion

cytoscape.js

Graph theory (network) library for visualisation and analysis

filesaver.js

saveTextAs() for all browsers & saveAs() FileSaver for HTML5

gradient-rollback

Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base completion.

mapreduce_wordalignment

Implements IBM 1 and HMM word alignment models using the MapReduce framework

nematus

Open-Source Neural Machine Translation in Theano. This fork implements ramp objectives and counterfactual learning objectives (Lawrence & Riezler, 2018.)

neuralmonkey

An open-source tool for sequence learning in NLP built on TensorFlow.

nlmaps-interface

Source code of the NLmaps interface: https://nlmaps.cl.uni-heidelberg.de/

nlpminion

Some python nlp-based functions that help me in my work

overpass-nlmaps

Extends the query language Overpass for OpenStreetMap (OSM). Implements a machine readable language which is used to build a natural language interface to OSM.

pyrebol

Implements the Response-Based Online Algorithm (REBOL) from Riezler et al., 2014.

pytorch-pretrained-bert

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

rebol

Implements the Response-Based Online Algorithm (REBOL) from Riezler et al., 2014.

scripts_nlmaps

Various scripts to be used in conjunction with the NLmaps corpus

smtsemparse

Semantic parsing as machine translation