heidelberg-nlp Goto Github PK
Name: Heidelberg-NLP
Type: Organization
Bio: Heidelberg Natural Language Processing Group
Location: Heidelberg
Name: Heidelberg-NLP
Type: Organization
Bio: Heidelberg Natural Language Processing Group
Location: Heidelberg
Scripts for processing data for resolution of abstract anaphora
Code for the paper Mihaylov and Frank (2016): AIPHES-HD system at TAC KBP 2016: Neural Event Trigger Span Detection and Event Type and Realis Disambiguation with Word Embeddings.
This project collects methods that enhance the comparison between AMR graphs.
Code and data for the paper *Better Smatch = Better Parser? AMR evaluation is not so simple anymore*
Code for "On Measuring Faithfulness of Natural Language Explanations"
Official code implementation for the paper "Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?"
Repository to create CCKGs from the paper "Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Tasks"
This repository contains our path generation framework Co-NNECT, in which we combine two models for establishing knowledge relations and paths between concepts from sentences, as a form of explicitation of implicit knowledge: COREC-LM (COmmonsense knowledge RElation Classification using Language Models), a relation classification system that we developed for classifying commonsense knowledge relations; and COMET, a target prediction system developed by Bosselut et al., 2019.
CoCo-Ex extracts meaningful concepts from natural language texts and maps them to conjunct concept nodes in ConceptNet, utilizing the maximum of relational information stored in the ConceptNet knowledge graph.
The corresponding code from our paper " COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion (ACL 2021)". Do not hesitate to open an issue if you run into any trouble!
Code for the paper "Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings" - participation in the CoNLL 2016 shared task on Discourse Relation Sense Classification http://www.cs.brandeis.edu/~clp/conll16st/
Counting dataset for Vision & Language models. Introduced in the paper "Seeing Past Words: Testing the Cross-Modal Capabilities of Pretrained V&L Models". https://arxiv.org/abs/2012.12352
Repository for code and data from the EMNLP-IJCNLP 2019 paper "Discourse-aware Semantic Self-Attention for Narrative Reading Comprehension"
Code for our paper "Graph Language Models"
The corresponding code from our paper " Generating Hypothetical Events for Abductive Inference (StarSem 2021)". Do not hesitate to open an issue if you run into any trouble!
German version of IKAT: A corpus consisting of high-quality human annotations of missing and implied information in argumentative texts. The data is further annotated with semantic clause types and commonsense knowledge relations.
English version of IKAT: A corpus consisting of high-quality human annotations of missing and implied information in argumentative texts. The data is further annotated with semantic clause types and commonsense knowledge relations.
Code for equipping pretrained language models (BART, GPT-2, XLNet) with commonsense knowledge for generating implicit knowledge statements between two sentences, by (i) finetuning the models on corpora enriched with implicit information; and by (ii) constraining models with key concepts and commonsense knowledge paths connecting them.
The corresponding code from our paper "Social Commonsense Reasoning with Multi-Head Knowledge Attention (EMNLP 2020)". Do not hesitate to open an issue if you run into any trouble!
This is the official implementation of the paper "MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks"
Multilingual Modal Sense Classification using a Convolutional Neural Network
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs
SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning With Semantic Role Labeling
A Mention-Ranking Model for Abstract Anaphora Resolution
This repository shows the code and data for our submission to the "Argument Retrieval for Controversial Questions" task at Touché 2023.
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