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Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)
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"
Supplementary data for the Unshared Task at the 3rd Argument Mining workshop, ACL 2016
UKP Amazon Mechanical Turk utilities
Accompanying code for our *SEM 2018 @ NAACL 2018 paper "Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories"
Accompanying code for our COLING 2018 paper "Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering"
Context-Aware Representations for Knowledge Base Relation Extraction
BiLSTM-CNN-CRF architecture for sequence tagging using ELMo representations.
Experimental code for the paper 'Finding Convincing Arguments Using Scalable Bayesian Preference Learning'
Accompanying code for our ACL-2017 publication on Neural End-to-End Learning for Computational Argumentation Mining
Code for the paper "Multi-Task Learning for Argumentation Mining in Low-Resource Settings"
Event Time Extraction with a Decision Tree of Neural Classifiers