2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2023
Parallel Data Helps Neural Entity Coreference Resolution
Gongbo Tang, Christian Hardmeier
Coreference resolution is the task of finding expressions that refer to the same entity in a text. Coreference models are generally trained on monolingual annotated data but annota…
cs.CL2020★ 2 cited
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English
Gongbo Tang, Rico Sennrich, Joakim Nivre
Recent work has shown that deeper character-based neural machine translation (NMT) models can outperform subword-based models. However, it is still unclear what makes deeper charac…
cs.CL2019
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models
Gongbo Tang, Rico Sennrich, Joakim Nivre
In this paper, we try to understand neural machine translation (NMT) via simplifying NMT architectures and training encoder-free NMT models. In an encoder-free model, the sums of w…