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University of Bonn
- Bonn, Germany
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YSDA course in Natural Language Processing
Highlight errors in a bib file: missing URLs, capitalization protection, etc
This is the official repository for Inheritune.
Multilingual Deception Detection of GPT-generated Hotel Reviews
Cross-cultural Inspiration Detection and Analysis in Real and LLM-generated Social Media Data
Describing changes in LLM research trends in 2023. https://arxiv.org/abs/2307.10700
This is the github repository for the paper: An Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives
Repository for Empathic Response Generation using LLM for Online Social Support
Code used in our paper: Archetypes and Entropy: Theory-Driven Extraction of Evidence for Suicide Risk. Our submission for CLPsych 2024 Shared Task A and B.
Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.
Collection of tasks for meta-learning and extreme multitask learning
Foundational Models for State-of-the-Art Speech and Text Translation
The implementation of our paper accepted by ACL 2023: CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation
Micromodels -- A framework for accurate, explainable, data efficient, and reusable NLP models.
Natural Langauge Processing with Deep Learning - Lectures and exercises
A starter kit to build *local-only* AI apps that cost $0 to run -- starting with document Q&A. Written in Javascript
Source code of ACL-2022 CogTaskonomy: Cognitively Inspired Task Taxonomy Is Beneficial to Transfer Learning in NLP
Codes and Datasets for our ACL 2023 paper on cognitive reframing of negative thoughts
Values Lexicon 1.0 and code used to create it.
Materials from the NLPCSS 201 Social Media Preprocessing Tutorial, March 16, 2022
BLOOM+1: Adapting BLOOM model to support a new unseen language
A collection of papers on automated medical coding from free-texts
Code for EMNLP 2022 paper "Efficiently Tuned Parameters are Task Embeddings"
Data and code for the Corr2Cause paper (ICLR 2024)