carolinlawrence

bert

TensorFlow code and pre-trained models for BERT

BiSon

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

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.

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.)

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.

st_tau

This repository contains code for the paper "Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs" (Wang, Lawrence & Niepert, ICLR 2021).

carolinlawrence/BiSon

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

carolinlawrence/gradient-rollback

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

carolinlawrence/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.

carolinlawrence/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.

carolinlawrence/bert

TensorFlow code and pre-trained models for BERT

carolinlawrence/carolinlawrence.github.io

carolinlawrence/MapReduce_WordAlignment

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

carolinlawrence/nematus

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

carolinlawrence/pyrebol

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

carolinlawrence/pytorch-pretrained-BERT

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

carolinlawrence/scripts_nlmaps

Various scripts to be used in conjunction with the NLmaps corpus

carolinlawrence/BilingualCorpus

carolinlawrence/CLKP-MTKBC

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

carolinlawrence/cytoscape.js

Graph theory (network) library for visualisation and analysis

carolinlawrence/FileSaver.js

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

carolinlawrence/neuralmonkey

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

carolinlawrence/nlmaps-interface

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

carolinlawrence/nlpminion

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

carolinlawrence/rebol

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

carolinlawrence/smtsemparse

Semantic parsing as machine translation