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dfki-nlp's Projects

morty icon morty

Code for the ACL paper "MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding"

mt-testsuite icon mt-testsuite

Test Suite for linguistically-motivated fine grained evaluation of machine translation

mtb-bert-em icon mtb-bert-em

Replication of the BERT-EM relation extraction models from the "Matching the Blanks" paper with additional evaluation.

multitacred icon multitacred

[ACL23] This repository contains the code for our paper "MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset"

nvc icon nvc

Neural Vector Conceptualization

olm icon olm

Explanation Method for Neural Models in NLP

pegasus-bridle icon pegasus-bridle

Ease your training experience on the DFKI GPU cluster :unicorn:

product-corpus icon product-corpus

This repository contains the DFKI Product Corpus, a dataset of 174 documents annotated for product and company named entities, and the relation CompanyProvidesProduct.

pynegex icon pynegex

PyNegEx pypi modular package for negex

recon icon recon

Recon is a Java-based tool for the annotation of relations among textual elements and semantic concepts.

relex icon relex

RelEx - A simple framework for Relation Extraction built on AllenNLP

reval icon reval

[ACL 20] Probing Linguistic Features of Sentence-level Representations in Neural Relation Extraction

semisupervised-mt-qe icon semisupervised-mt-qe

Scripts and data to reproduce the experiments of the paper Bhatia et. al 2023, " Semi-supervised learning for Quality Estimation of Machine Translation" - MT Summit 2023

sherlock icon sherlock

State-of-the-art Information Extraction

sim3s-corpus icon sim3s-corpus

Corpus MobASA: a German-language corpus of tweets annotated with their relevance for public transportation, and with sentiment towards aspects related to barrier-free travel.

smartdata-corpus icon smartdata-corpus

A dataset of almost 2600 German-language documents which has been annotated with fine-grained geo-entities, standard named entity types, and a set of 15 traffic- and industry-related relations.

smv icon smv

Code and data for the ACL 2023 NLReasoning Workshop paper "Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods" (Feldhus et al., 2023)

tacrev icon tacrev

[ACL 20] TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task

thermostat icon thermostat

Collection of NLP model explanations and accompanying analysis tools

tre icon tre

[AKBC 19] Improving Relation Extraction by Pre-trained Language Representations

wsee icon wsee

Bachelor Thesis: "Investigating weak supervision for the extraction of mobility relations and events in German text"

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