22 citations · 77 across the 12 of their papers we have counts for
5 papers · 1 filter
SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering
Xiaopeng Lu, Kyusong Lee, Tiancheng Zhao
Although open-domain question answering (QA) draws great attention in recent years, it requires large amounts of resources for building the full system and is often difficult to re…
SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval
Tiancheng Zhao, Xiaopeng Lu, Kyusong Lee
We introduce SPARTA, a novel neural retrieval method that shows great promise in performance, generalization, and interpretability for open-domain question answering. Unlike many n…
Talk to Papers: Bringing Neural Question Answering to Academic Search
Tianchang Zhao, Kyusong Lee
We introduce Talk to Papers, which exploits the recent open-domain question answering (QA) techniques to improve the current experience of academic search. It's designed to enable…
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation
Tiancheng Zhao, Kyusong Lee, Maxine Eskenazi
The encoder-decoder dialog model is one of the most prominent methods used to build dialog systems in complex domains. Yet it is limited because it cannot output interpretable acti…
Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability
Tiancheng Zhao, Allen Lu, Kyusong Lee +1
Generative encoder-decoder models offer great promise in developing domain-general dialog systems. However, they have mainly been applied to open-domain conversations. This paper p…