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Tatiana Bladier's Projects

berkeley-ccg2pst icon berkeley-ccg2pst

A tool for converting CCG derivations into PTB-style phrase structure trees

candc icon candc

A repository containing the original C&C CCG parser sources and newer modifications

ccg2lambda icon ccg2lambda

Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.

codebase-for-incremental-learning-with-llm icon codebase-for-incremental-learning-with-llm

[ACL2024] A Codebase for Incremental Learning with Large Language Models; Official released code for "Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models (ACL 2024)", "Incremental Sequence Labeling: A Tale of Two Shifts (ACL 2024 Findings)", and "Concept-1K: A Novel Benchmark for Instance Incremental Learning (arxiv)"

conll-2012 icon conll-2012

A slightly cleaned up version of the scripts & data for the CoNLL 2012 Coreference task.

continual-learning icon continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

convertvec icon convertvec

Convert word2vec vectors between binary and plain text format

creme icon creme

:loop: Online machine learning in Python

dendropy icon dendropy

A Python library for phylogenetic scripting, simulation, data processing and manipulation.

drs-pretrained-lmm icon drs-pretrained-lmm

This repository shows the work of "Pre-Trained Language-Meaning Models for Multilingual Parsing and Generation (ACL 2023 Findings)"

drs_parsing_with_srl icon drs_parsing_with_srl

Code and data for paper "Improving DRS Parsing with Separately Predicted Semantic Roles" at CSTFRS workshop https://aclanthology.org/2021.cstfrs-1.3.pdf

geopar-1 icon geopar-1

A simple semantic parser for the GeoQuery domain, for teaching purposes

incpar icon incpar

Fully Incremental Neural Dependency and Constituency Parsing

litgpt icon litgpt

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

machamp icon machamp

Repository with code for MaChAmp: https://aclanthology.org/2021.eacl-demos.22/

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