Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Multi-Task Learning and Weighted Cross-Entropy for DNN-Based Keyword Spotting
Small-footprint keyword spotting using deep neural networks
A Graph Degeneracy-based Approach to Keyword Extraction
Fast ASR-free and almost zero-resource keyword spotting using DTW and CNNs for humanitarian monitoring
Unrestricted vocabulary keyword spotting using LSTM-CTC
Multi-label learning with millions of labels: recommending advertiser bid phrases for web pages
A new network model for extracting text keywords
Topic Detection by Clustering Keywords
A literature survey on algorithms for multi-label learning
Deep Learning for the Web
Representing word image using visual word embeddings and RNN for keyword spotting on historical document images
A Novel Word Spotting Method Based on Recurrent Neural Networks
Term Weighting in Short Documents for Document Categorization, Keyword Extraction and Query Expansion
Hybrid context dependent CD-DNN-HMM Keyword Spotting (KWS) in speech conversations
Survey of Keyword Extraction Techniques
Multi-Task Learning of Keyphrase Boundary Classification
A Tutorial on Multi-Label Learning
An extensive experimental comparison of methods for multi-label learning
Research on keyword extraction based on Word2Vec weighted TextRank
Multi-label Learning
Using Lexical Chains for Keyword Extraction
Modified timeboxing process model for proper utilization of resources
Characterizing the latency hiding ability of GPUs
Vocabulary independent spoken term detection
A Zero-Crossing-Based 8-bit 200 MS/s Pipelined ADC
Experimental And Quasi Experimental Designs For Research