147 citations
- Carnegie Mellon UniversityUS4 papers
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- Toyota Technological Institute at ChicagoUS2 papers
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9 papers · 1 filter
Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation
Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad +2
Given a rough, word-by-word gloss of a source language sentence, target language natives can uncover the latent, fully-fluent rendering of the translation. In this work we explore…
Improving Long Distance Slot Carryover in Spoken Dialogue Systems
Tongfei Chen, Chetan Naik, Hua He +2
Tracking the state of the conversation is a central component in task-oriented spoken dialogue systems. One such approach for tracking the dialogue state is slot carryover, where a…
Data Selection with Cluster-Based Language Difference Models and Cynical Selection
Lucía Santamaría, Amittai Axelrod
We present and apply two methods for addressing the problem of selecting relevant training data out of a general pool for use in tasks such as machine translation. Building on exis…
Cross-lingual transfer learning for spoken language understanding
Quynh Ngoc Thi Do, Judith Gaspers
Typically, spoken language understanding (SLU) models are trained on annotated data which are costly to gather. Aiming to reduce data needs for bootstrapping a SLU system for a new…
Learning When Not to Answer: A Ternary Reward Structure for Reinforcement Learning based Question Answering
Fréderic Godin, Anjishnu Kumar, Arpit Mittal
In this paper, we investigate the challenges of using reinforcement learning agents for question-answering over knowledge graphs for real-world applications. We examine the perform…
A dataset for resolving referring expressions in spoken dialogue via contextual query rewrites (CQR)
Michael Regan, Pushpendre Rastogi, Arpit Gupta +1
We present Contextual Query Rewrite (CQR) a dataset for multi-domain task-oriented spoken dialogue systems that is an extension of the Stanford dialog corpus (Eric et al., 2017a).…