266 citations · 1.8k across the 115 of their papers we have counts for
9 papers · 1 filter
Lexical-semantic resources: yet powerful resources for automatic personality classification
Xuan-Son Vu, Lucie Flekova, Lili Jiang +1
In this paper, we aim to reveal the impact of lexical-semantic resources, used in particular for word sense disambiguation and sense-level semantic categorization, on automatic per…
Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks
Nils Reimers, Iryna Gurevych
Selecting optimal parameters for a neural network architecture can often make the difference between mediocre and state-of-the-art performance. However, little is published which p…
The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants
Ivan Habernal, Henning Wachsmuth, Iryna Gurevych +1
Reasoning is a crucial part of natural language argumentation. To comprehend an argument, one must analyze its warrant, which explains why its claim follows from its premises. As a…
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging
Nils Reimers, Iryna Gurevych
In this paper we show that reporting a single performance score is insufficient to compare non-deterministic approaches. We demonstrate for common sequence tagging tasks that the s…
Argotario: Computational Argumentation Meets Serious Games
Ivan Habernal, Raffael Hannemann, Christian Pollak +3
An important skill in critical thinking and argumentation is the ability to spot and recognize fallacies. Fallacious arguments, omnipresent in argumentative discourse, can be decep…
Neural End-to-End Learning for Computational Argumentation Mining
Steffen Eger, Johannes Daxenberger, Iryna Gurevych
We investigate neural techniques for end-to-end computational argumentation mining (AM). We frame AM both as a token-based dependency parsing and as a token-based sequence tagging…