dfki-nlp's Projects
[EMNLP 2022] Multilingual Relation Classification via Efficient and Effective Prompting
[Konvens21] This repository contains the DFKI MobIE Corpus, a dataset of 3,232 German-language documents that have been annotated with fine-grained geo-entities, such as streets, stops and routes, as well as standard named entity types (organization, date, number, etc).
Code for the ACL paper "MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding"
Test Suite for linguistically-motivated fine grained evaluation of machine translation
Replication of the BERT-EM relation extraction models from the "Matching the Blanks" paper with additional evaluation.
[ACL23] This repository contains the code for our paper "MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset"
Repository for constructing a dataset for the Field of Research Classification task.
Neural Vector Conceptualization
Explanation Method for Neural Models in NLP
Ease your training experience on the DFKI GPU cluster :unicorn:
This repository contains the DFKI Product Corpus, a dataset of 174 documents annotated for product and company named entities, and the relation CompanyProvidesProduct.
PyNegEx pypi modular package for negex
Web RAdio and auDIo processing system for Acessibility aNd Traceability
Recon is a Java-based tool for the annotation of relations among textual elements and semantic concepts.
RelEx - A simple framework for Relation Extraction built on AllenNLP
[ACL 20] Probing Linguistic Features of Sentence-level Representations in Neural Relation Extraction
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
State-of-the-art Information Extraction
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.
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.
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)
A corpus consisting of German sentences, annotated with subjective complexity ratings by two target groups
[ACL 20] TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
Taxonomy for Computational Linguistics topics
Collection of NLP model explanations and accompanying analysis tools