Encouraging Neural Machine Translation to Satisfy Terminology Constraints
We present a new approach to encourage neural machine translation to satisfy lexical constraints. Our method acts at the training step and thereby avoiding the introduction of any extra...
Lingua Custodia's participation at the WMT 2021 Machine Translation using Terminologies shared task
This paper describes Lingua Custodia's submission to the WMT21 shared task on machine translation using terminologies. We consider three directions, namely English to French, Russian, and Chinese....
Topic Augmented Generator for Abstractive Summarization
Steady progress has been made in abstractive summarization with attention-based sequence-to-sequence learning models. In this paper, we propose a new decoder where the output summary is generated...
Amortized Inference of Variational Bounds for Learning Noisy-OR
Classical approaches for approximate inference depend on cleverly designed variational distributions and bounds. Modern approaches employ amortized variational inference, which uses a neural...
Lingua Custodia's Participation at the WMT 2021 Machine Translation Using Terminologies Shared Task
Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks
Benchmarks have emerged as the central approach for evaluating Large Language Models (LLMs). The research community often relies on a model's average performance across the test prompts of a...