12 citations · 27 across the 5 of their papers we have counts for
6 papers
Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks
Raphael Tang, Gefei Yang, Hong Wei +3
Voice-enabled commercial products are ubiquitous, typically enabled by lightweight on-device keyword spotting (KWS) and full automatic speech recognition (ASR) in the cloud. ASR sy…
Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search
Jinfeng Rao, Wei Yang, Yuhao Zhang +2
Despite substantial interest in applications of neural networks to information retrieval, neural ranking models have only been applied to standard ad hoc retrieval tasks over web p…
Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams
Jinfeng Rao, Hua He, Haotian Zhang +4
Time is an important relevance signal when searching streams of social media posts. The distribution of document timestamps from the results of an initial query can be leveraged to…
Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks
Jinfeng Rao, Ferhan Ture, Hua He +2
We tackle the novel problem of navigational voice queries posed against an entertainment system, where viewers interact with a voice-enabled remote controller to specify the progra…
Learning to Translate for Multilingual Question Answering
Ferhan Ture, Elizabeth Boschee
In multilingual question answering, either the question needs to be translated into the document language, or vice versa. In addition to direction, there are multiple methods to pe…
No Need to Pay Attention: Simple Recurrent Neural Networks Work! (for Answering "Simple" Questions)
Ferhan Ture, Oliver Jojic
First-order factoid question answering assumes that the question can be answered by a single fact in a knowledge base (KB). While this does not seem like a challenging task, many r…