Publications (6)
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings
Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer +4
Entity linking methods based on dense retrieval are an efficient and widely used solution in large-scale applications, but they fall short of the performance of generative models,…
Conversational Speech Naturalness Predictor
Anfeng Xu, Yashesh Gaur, Naoyuki Kanda +6
Evaluation of conversational naturalness is essential for developing human-like speech agents. However, existing speech naturalness predictors are often designed to assess utteranc…
Non-Monotonic Attention-based Read/Write Policy Learning for Simultaneous Translation
Zeeshan Ahmed, Frank Seide, Zhe Liu +6
Simultaneous or streaming machine translation generates translation while reading the input stream. These systems face a quality/latency trade-off, aiming to achieve high translati…
Transcribing and Translating, Fast and Slow: Joint Speech Translation and Recognition
Niko Moritz, Ruiming Xie, Yashesh Gaur +5
We propose the joint speech translation and recognition (JSTAR) model that leverages the fast-slow cascaded encoder architecture for simultaneous end-to-end automatic speech recogn…
Overcoming Latency Bottlenecks in On-Device Speech Translation: A Cascaded Approach with Alignment-Based Streaming MT
Zeeshan Ahmed, Frank Seide, Niko Moritz +5
This paper tackles several challenges that arise when integrating Automatic Speech Recognition (ASR) and Machine Translation (MT) for real-time, on-device streaming speech translat…
Multilingual End to End Entity Linking
Mikhail Plekhanov, Nora Kassner, Kashyap Popat +5
Entity Linking is one of the most common Natural Language Processing tasks in practical applications, but so far efficient end-to-end solutions with multilingual coverage have been…