Heidelberg-NLP/SRL-S2S

Stars
15
Rank 1,371,379 (Top 28 %)
Language
Python
License
GNU General Publi...
Created over 5 years ago
Updated over 4 years ago

Heidelberg-NLP/SRL-S2S

Heidelberg-NLP

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Encoder-Decoder model for Semantic Role Labeling

CoCo-Ex

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.

VALSE

Data repository for the VALSE benchmark.

GraphLanguageModels

Code for our paper "Graph Language Models"

MM-SHAP

This is the official implementation of the paper "MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks"

ancient-language-models

COINS

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!

discourse-aware-semantic-self-attention

Repository for code and data from the EMNLP-IJCNLP 2019 paper "Discourse-aware Semantic Self-Attention for Narrative Reading Comprehension"

Jupyter Notebook

xsrl_mbert_aligner

X-SRL Dataset. Including the code for the SRL annotation projection tool and an out-of-the-box word alignment tool based on Multilingual BERT embeddings.

MHKA

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!

CC-SHAP

Code for "On Measuring Faithfulness of Natural Language Explanations"

CCKG

Repository to create CCKGs from the paper "Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Tasks"

counting-probe

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

AMRParseEval

Code and data for the paper *Better Smatch = Better Parser? AMR evaluation is not so simple anymore*

simple-xamr

Strong X-AMR baseline with NMT and parser pipeline.

CC-SHAP-VLM

Official code implementation for the paper "Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?"

HYPEVENTS

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!

amr-argument-sim