16 citations · 16 across the 4 of their papers we have counts for
6 papers
Turning Flowchart into Dialog: Augmenting Flowchart-grounded Troubleshooting Dialogs via Synthetic Data Generation
Haolan Zhan, Sameen Maruf, Lizhen Qu +3
Flowchart-grounded troubleshooting dialogue (FTD) systems, which follow the instructions of a flowchart to diagnose users' problems in specific domains (e.g., vehicle, laptop), hav…
Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns
KayYen Wong, Sameen Maruf, Gholamreza Haffari
The advent of context-aware NMT has resulted in promising improvements in the overall translation quality and specifically in the translation of discourse phenomena such as pronoun…
A Survey on Document-level Neural Machine Translation: Methods and Evaluation
Sameen Maruf, Fahimeh Saleh, Gholamreza Haffari
Machine translation (MT) is an important task in natural language processing (NLP) as it automates the translation process and reduces the reliance on human translators. With the r…
Selective Attention for Context-aware Neural Machine Translation
Sameen Maruf, André F. T. Martins, Gholamreza Haffari
Despite the progress made in sentence-level NMT, current systems still fall short at achieving fluent, good quality translation for a full document. Recent works in context-aware N…
Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations
Sameen Maruf, André F. T. Martins, Gholamreza Haffari
Recent works in neural machine translation have begun to explore document translation. However, translating online multi-speaker conversations is still an open problem. In this wor…
Document Context Neural Machine Translation with Memory Networks
Sameen Maruf, Gholamreza Haffari
We present a document-level neural machine translation model which takes both source and target document context into account using memory networks. We model the problem as a struc…