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2022-raft

This repository contains code and model for EACL2023 Transformers with Learnable Activation Functions

a-template-is-all-you-meme

Source code and data

aaai19-diagnostic-reasoning

Code for the paper "Challenges in the Automatic Analysis of Students' Diagnostic Reasoning"

aaai2019-coala-cqa-answer-selection

acl2016-convincing-arguments

Code and data for ACL2016 article "Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM" by Ivan Habernal and Iryna Gurevych"

acl2016-modality-verbclasses

Code for experiments described in the paper "Verbs Taking Clausal and Non-Finite Arguments as Signals of Modality"

acl2016-optimizing-rouge

Code for our optimizer which takes scored sentences and extract the best summary according to the ROUGE approximation.

acl2016-supersense-embeddings

Source code, data, and supplementary materials for our ACL 2016 article

acl2017-interactive_summarizer

A general framework for Interactive Multi-Document Summarization

acl2017-neural_end2end_am

Accompanying code for our ACL-2017 publication on Neural End-to-End Learning for Computational Argumentation Mining

acl2017-non-factoid-qa

Code for paper "End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights"

acl2017-optimize_pyramid

acl2017-theta_evaluation_summarization

acl2018-msr-workshop-binlin

acl2019-bert-argument-classification-and-clustering

acl2019-ctest-difficulty-manipulation

acl2019-gppl-humour-metaphor

acl2020-confidence-regularization

acl2020-dialogue-coherence-assessment

acl2020-empowering-active-learning

acl2020-interactive-entity-linking

acl2021-label-suggestions-german-covid19

acl2021-metaphor-generation-conceptual

This repository is for the paper Metaphor Generation with Conceptual Mappings (ACL 2021).

acl2022-impli

acl2022-structure-batches

Improve the training process by leveraging structural information within a dataset.

acl2023-argscichat

adaptable-adapters

adasent

This repository contains the code for the EMNLP'23 paper "AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification"

annotation-curriculum

Source code and user models from our experiments of our CL 2021 submission

argmin2015-digat

Discourse Graph Annotation Tool (DiGAT)