5 citations · 6 across the 2 of their papers we have counts for
4 papers
Statute-enhanced lexical retrieval of court cases for COLIEE 2022
Tobias Fink, Gabor Recski, Wojciech Kusa +1
We discuss our experiments for COLIEE Task 1, a court case retrieval competition using cases from the Federal Court of Canada. During experiments on the training data we observe th…
POTATO: exPlainable infOrmation exTrAcTion framewOrk
Ádám Kovács, Kinga Gémes, Eszter Iklódi +1
We present POTATO, a task- and languageindependent framework for human-in-the-loop (HITL) learning of rule-based text classifiers using graph-based features. POTATO handles any typ…
The Gutenberg Dialogue Dataset
Richard Csaky, Gabor Recski
Large datasets are essential for neural modeling of many NLP tasks. Current publicly available open-domain dialogue datasets offer a trade-off between quality (e.g., DailyDialog) a…
Improving Neural Conversational Models with Entropy-Based Data Filtering
Richard Csaky, Patrik Purgai, Gabor Recski
Current neural network-based conversational models lack diversity and generate boring responses to open-ended utterances. Priors such as persona, emotion, or topic provide addition…