Information Retrieval

Table of Contents

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   Book Overview
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   Chapter 1 Translating Embeddings for Modeling Query Reformulation
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   Chapter 2 A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval
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   Chapter 3 A Comparison Between Term-Based and Embedding-Based Methods for Initial Retrieval
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   Chapter 4 Text Matching with Monte Carlo Tree Search
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   Chapter 5 Music Mood Classification Based on Lifelog
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   Chapter 6 Capsule-Based Bidirectional Gated Recurrent Unit Networks for Question Target Classification
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   Chapter 7 Question-Answering Aspect Classification with Multi-attention Representation
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   Chapter 8 Hierarchical Answer Selection Framework for Multi-passage Machine Reading Comprehension
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    Chapter 9 Generative Paragraph Vector
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    Chapter 10 Generative Adversarial Graph Representation Learning in Hyperbolic Space
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    Chapter 11 Beyond Pivot for Extracting Chinese Paraphrases
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    Chapter 12 Joint Attention LSTM Network for Aspect-Level Sentiment Analysis
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    Chapter 13 Extraction New Sentiment Words in Weibo Based on Relative Branch Entropy
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    Chapter 14 Two-Target Stance Detection with Target-Related Zone Modeling
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    Chapter 15 Information Diffusion Model Based on Opportunity, Trust and Motivation
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    Chapter 16 Finding High-Quality Unstructured Submissions in General Crowdsourcing Tasks
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    Chapter 17 A Hybrid Neural Network Model with Non-linear Factorization Machines for Collaborative Recommendation
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    Chapter 18 Identifying Price Sensitive Customers in E-commerce Platforms for Recommender Systems
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    Chapter 19 Jointly Modeling User and Item Reviews by CNN for Multi-domain Recommendation
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    Chapter 20 Learning Target-Dependent Sentence Representations for Chinese Event Detection
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    Chapter 21 Prior Knowledge Integrated with Self-attention for Event Detection
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    Chapter 22 Learning to Start for Sequence to Sequence Based Response Generation