7 citations · 13 across the 6 of their papers we have counts for
5 papers · 1 filter
Two Approaches to Building Collaborative, Task-Oriented Dialog Agents through Self-Play
Arkady Arkhangorodsky, Scot Fang, Victoria Knight +3
Task-oriented dialog systems are often trained on human/human dialogs, such as collected from Wizard-of-Oz interfaces. However, human/human corpora are frequently too small for sup…
MeetDot: Videoconferencing with Live Translation Captions
Arkady Arkhangorodsky, Christopher Chu, Scot Fang +5
We present MeetDot, a videoconferencing system with live translation captions overlaid on screen. The system aims to facilitate conversation between people who speak different lang…
MEEP: An Open-Source Platform for Human-Human Dialog Collection and End-to-End Agent Training
Arkady Arkhangorodsky, Amittai Axelrod, Christopher Chu +6
We create a new task-oriented dialog platform (MEEP) where agents are given considerable freedom in terms of utterances and API calls, but are constrained to work within a push-but…
Parallel Corpus Filtering via Pre-trained Language Models
Boliang Zhang, Ajay Nagesh, Kevin Knight
Web-crawled data provides a good source of parallel corpora for training machine translation models. It is automatically obtained, but extremely noisy, and recent work shows that n…
Lightly-supervised Representation Learning with Global Interpretability
Marco A. Valenzuela-Escárcega, Ajay Nagesh, Mihai Surdeanu
We propose a lightly-supervised approach for information extraction, in particular named entity classification, which combines the benefits of traditional bootstrapping, i.e., use…