Overview of the DAGPap22 Shared Task on Detecting Automatically Generated Scientific Papers

no code implementations • sdp (COLING) 2022 • Yury Kashnitsky, Drahomira Herrmannova, Anita de Waard, George Tsatsaronis, Catriona Catriona Fennell, Cyril Labbe

As a test set, the participants are provided with a 5x larger corpus of openly accessible human-written as well as generated papers from the same scientific domains of documents.

Binary Classification

Seq2SeqPy: A Lightweight and Customizable Toolkit for Neural Sequence-to-Sequence Modeling

no code implementations • LREC 2020 • Raheel Qader, Fran{\c{c}}ois Portet, Cyril Labbe

We present Seq2SeqPy a lightweight toolkit for sequence-to-sequence modeling that prioritizes simplicity and ability to customize the standard architectures easily.

Fine-Grained Control of Sentence Segmentation and Entity Positioning in Neural NLG

no code implementations • WS 2019 • Kritika Mehta, Raheel Qader, Cyril Labbe, Fran{\c{c}}ois Portet

The results demonstrate that the position identifiers do constraint the neural model to respect the intended output structure which can be useful in a variety of domains that require the generated text to be in a certain structure.

Data-to-Text Generation Position +2