Search Results for author: Ferhan Ture

Found 13 papers, 2 papers with code

Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks

no code implementations19 Dec 2018 Raphael Tang, Gefei Yang, Hong Wei, Yajie Mao, Ferhan Ture, Jimmy Lin

Voice-enabled commercial products are ubiquitous, typically enabled by lightweight on-device keyword spotting (KWS) and full automatic speech recognition (ASR) in the cloud.

Automatic Speech Recognition Keyword Spotting +1

SyntaViz: Visualizing Voice Queries through a Syntax-Driven Hierarchical Ontology

1 code implementation EMNLP 2018 Md. Iftekhar Tanveer, Ferhan Ture

This paper describes SyntaViz, a visualization interface specifically designed for analyzing natural-language queries that were created by users of a voice-enabled product.

Sentiment Analysis Topic Models

Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search

3 code implementations21 May 2018 Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Ture, Jimmy Lin

To our best knowledge, this paper presents the first substantial work tackling search over social media posts using neural ranking models.

Information Retrieval

No Need to Pay Attention: Simple Recurrent Neural Networks Work!

no code implementations EMNLP 2017 Ferhan Ture, Oliver Jojic

Our approach formulates the task as two machine learning problems: detecting the entities in the question, and classifying the question as one of the relation types in the KB.

Question Answering

Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams

no code implementations25 Jul 2017 Jinfeng Rao, Hua He, Haotian Zhang, Ferhan Ture, Royal Sequiera, Salman Mohammed, Jimmy Lin

To our knowledge, we are the first to integrate lexical and temporal signals in an end-to-end neural network architecture, in which existing neural ranking models are used to generate query-document similarity vectors that feed into a bidirectional LSTM layer for temporal modeling.

Density Estimation Document Ranking

Learning to Translate for Multilingual Question Answering

no code implementations EMNLP 2016 Ferhan Ture, Elizabeth Boschee

In multilingual question answering, either the question needs to be translated into the document language, or vice versa.

Question Answering Translation

No Need to Pay Attention: Simple Recurrent Neural Networks Work! (for Answering "Simple" Questions)

no code implementations16 Jun 2016 Ferhan Ture, Oliver Jojic

Our approach formulates the task as two machine learning problems: detecting the entities in the question, and classifying the question as one of the relation types in the KB.

Question Answering

Cannot find the paper you are looking for? You can Submit a new open access paper.