lwachowiak

Emotion-Recognition-with-ViT

A jupyter notebook showing how to finetune the vision transformer on a facial expression dataset (FER-2013)

Evaluating-Crowdsourced-Annotations

Verifying user annotations for images provided by museums and archives

HRI-Error-Detection-STAI

Winning entry for the ERR@HRI competition, https://sites.google.com/cam.ac.uk/err-hri/

LLMs-for-Social-Robotics

Code and data for our IROS paper: "Are Large Language Models Aligned with People's Social Intuitions for Human–Robot Interactions?"

Metaphor-Extraction-With-GPT-3

Code for our ACL'23 paper on how to identify metaphor mappings with the help of GPT-3

Multilingual-Metaphor-Detection

The multilingual language model XLM-R fine-tuned for metaphor detection on a token-level using Huggingface

overcooked-demo

Fork of overcooked-demo for HRI experiments regarding human gaze patterns during collaborations

Term-Extraction-With-Language-Models

Extracting terms from text using XLM-R for token and sequence classification

Towards-Learning-Terminological-Concept-Systems

A pipeline approach to automatically extract terminological concept systems from text. We use multilingual neural language models to extract terms and their relations on a an intra-sentence level.

Transrelation

The winning system of the Text2TCS project team submitted to the CogaLex VI shared task.

lwachowiak/Emotion-Recognition-with-ViT

A jupyter notebook showing how to finetune the vision transformer on a facial expression dataset (FER-2013)

lwachowiak/Multilingual-Metaphor-Detection

The multilingual language model XLM-R fine-tuned for metaphor detection on a token-level using Huggingface

lwachowiak/Metaphor-Extraction-With-GPT-3

Code for our ACL'23 paper on how to identify metaphor mappings with the help of GPT-3

lwachowiak/Evaluating-Crowdsourced-Annotations

Verifying user annotations for images provided by museums and archives

lwachowiak/LLMs-for-Social-Robotics

Code and data for our IROS paper: "Are Large Language Models Aligned with People's Social Intuitions for Human–Robot Interactions?"

lwachowiak/HRI-Error-Detection-STAI

Winning entry for the ERR@HRI competition, https://sites.google.com/cam.ac.uk/err-hri/

lwachowiak/overcooked-demo

Fork of overcooked-demo for HRI experiments regarding human gaze patterns during collaborations

lwachowiak/Systematic-Analysis-of-Image-Schemas-through-Explainable-Multilingual-Language-Models

A multilingual image schema dataset and an explainable extraction model

lwachowiak/When-and-What-to-Explain

Timeseries classification code for detecting confusion and agent errors. Published in Transactions on Affective Computing..

lwachowiak/explainable_overcooked_ai

A benchmark environment for fully cooperative human-AI performance.

lwachowiak/Explanation-Types-and-Need-Indicators-in-HAI

Collection of papers used for a scoping review of explanation types and need indicators in human–agent interact / robotics / human–agent collaborations

lwachowiak/ISCMs

lwachowiak/open-sesame

A frame-semantic parsing system based on a softmax-margin SegRNN.

lwachowiak/HRI-Video-Survey-on-Preferred-Robot-Responses

Code and data for the paper "When Do People Want an Explanation?", presented at HRI'24