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Advances in Information Retrieval

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Cover of 'Advances in Information Retrieval'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Entity-Centric Topic Extraction and Exploration: A Network-Based Approach
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    Chapter 2 Predicting Topics in Scholarly Papers
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    Chapter 3 Topic Lifecycle on Social Networks: Analyzing the Effects of Semantic Continuity and Social Communities
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    Chapter 4 Medical Forum Question Classification Using Deep Learning
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    Chapter 5 Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets
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    Chapter 6 Choices in Knowledge-Base Retrieval for Consumer Health Search
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    Chapter 7 An Adversarial Joint Learning Model for Low-Resource Language Semantic Textual Similarity
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    Chapter 8 Reproducing a Neural Question Answering Architecture Applied to the SQuAD Benchmark Dataset: Challenges and Lessons Learned
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    Chapter 9 Bringing Back Structure to Free Text Email Conversations with Recurrent Neural Networks
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    Chapter 10 A Hybrid Embedding Approach to Noisy Answer Passage Retrieval
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    Chapter 11 Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms
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    Chapter 12 Affective Neural Response Generation
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    Chapter 13 Web2Text: Deep Structured Boilerplate Removal
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    Chapter 14 Attention-Based Neural Text Segmentation
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    Chapter 15 Modelling Randomness in Relevance Judgments and Evaluation Measures
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    Chapter 16 Information Scent, Searching and Stopping
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    Chapter 17 Investigating Result Usefulness in Mobile Search
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    Chapter 18 A Comparative Study of Native and Non-native Information Seeking Behaviours
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    Chapter 19 Indiscriminateness in Representation Spaces of Terms and Documents
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    Chapter 20 On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings
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    Chapter 21 Discriminative Path-Based Knowledge Graph Embedding for Precise Link Prediction
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    Chapter 22 Spherical Paragraph Model
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    Chapter 23 Aggregating Neural Word Embeddings for Document Representation
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    Chapter 24 Unsupervised Sentiment Analysis of Twitter Posts Using Density Matrix Representation
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    Chapter 25 Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation
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    Chapter 26 Benefits of Using Symmetric Loss in Recommender Systems
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    Chapter 27 Time-Aware Novelty Metrics for Recommender Systems
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    Chapter 28 Employing Document Embeddings to Solve the “New Catalog” Problem in User Targeting, and Provide Explanations to the Users
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    Chapter 29 Statistical Stemmers: A Reproducibility Study
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    Chapter 30 Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance
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    Chapter 31 T-Shaped Mining: A Novel Approach to Talent Finding for Agile Software Teams
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    Chapter 32 Modeling Relevance Judgement Inspired by Quantum Weak Measurement
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    Chapter 33 Active Learning Strategies for Technology Assisted Sensitivity Review
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    Chapter 34 Authorship Verification in the Absence of Explicit Features and Thresholds
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    Chapter 35 Efficient Context-Aware K-Nearest Neighbor Search
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    Chapter 36 An Optimization Approach for Sub-event Detection and Summarization in Twitter
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    Chapter 37 Spatial Statistics of Term Co-occurrences for Location Prediction of Tweets
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    Chapter 38 Learning to Leverage Microblog Information for QA Retrieval
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    Chapter 39 Biomedical Question Answering via Weighted Neural Network Passage Retrieval
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    Chapter 40 Topical Stance Detection for Twitter: A Two-Phase LSTM Model Using Attention
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    Chapter 41 A Neural Passage Model for Ad-hoc Document Retrieval
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    Chapter 42 On the Cost of Negation for Dynamic Pruning
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    Chapter 43 A Meta-Evaluation of Evaluation Methods for Diversified Search
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    Chapter 44 Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets
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    Chapter 45 Concept Embedding for Information Retrieval
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    Chapter 46 Patient-Age Extraction for Clinical Reports Retrieval
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    Chapter 47 Inverted List Caching for Topical Index Shards
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    Chapter 48 ALF-200k: Towards Extensive Multimodal Analyses of Music Tracks and Playlists
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    Chapter 49 Proposing Contextually Relevant Quotes for Images
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    Chapter 50 To Cite, or Not to Cite? Detecting Citation Contexts in Text
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    Chapter 51 Automated Assistance in E-commerce: An Approach Based on Category-Sensitive Retrieval
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    Chapter 52 Neural Multi-step Reasoning for Question Answering on Semi-structured Tables
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    Chapter 53 Document Ranking Applied to Second Language Learning
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    Chapter 54 Generating High-Quality Query Suggestion Candidates for Task-Based Search
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    Chapter 55 An Incremental Approach for Collaborative Filtering in Streaming Scenarios
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    Chapter 56 Collection-Document Summaries
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    Chapter 57 Towards an Understanding of Entity-Oriented Search Intents
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    Chapter 58 Towards Measuring Content Coordination in Microblogs
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    Chapter 59 Long-Span Language Models for Query-Focused Unsupervised Extractive Text Summarization
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    Chapter 60 Topic-Association Mining for User Interest Detection
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    Chapter 61 A Study of an Automatic Stopping Strategy for Technologically Assisted Medical Reviews
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    Chapter 62 Improving Deep Learning for Multiple Choice Question Answering with Candidate Contexts
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    Chapter 63 A Text Feature Based Automatic Keyword Extraction Method for Single Documents
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    Chapter 64 Simplified Hybrid Approach for Detection of Semantic Orientations in Economic Texts
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    Chapter 65 Towards Maximising Openness in Digital Sensitivity Review Using Reviewing Time Predictions
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    Chapter 66 Towards a Unified Supervised Approach for Ranking Triples of Type-Like Relations
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    Chapter 67 ParsTime: Rule-Based Extraction and Normalization of Persian Temporal Expressions
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    Chapter 68 Active Search for High Recall: A Non-stationary Extension of Thompson Sampling
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    Chapter 69 Classifying Short Descriptions of Past Events
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    Chapter 70 Stopword Detection for Streaming Content
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    Chapter 71 Generating Adversarial Text Samples
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    Chapter 72 Controlling Information Aggregation for Complex Question Answering
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    Chapter 73 Local Is Good: A Fast Citation Recommendation Approach
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    Chapter 74 On Refining Twitter Lists as Ground Truth Data for Multi-community User Classification
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    Chapter 75 Entity Retrieval via Type Taxonomy Aware Smoothing
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    Chapter 76 A Data Collection for Evaluating the Retrieval of Related Tweets to News Articles
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    Chapter 77 Content Based Weighted Consensus Summarization
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    Chapter 78 NOA: A Search Engine for Reusable Scientific Images Beyond the Life Sciences
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    Chapter 79 A Micromodule Approach for Building Real-Time Systems with Python-Based Models: Application to Early Risk Detection of Depression on Social Media
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    Chapter 80 YAKE! Collection-Independent Automatic Keyword Extractor
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    Chapter 81 SIREN - Security Information Retrieval and Extraction eNgine
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    Chapter 82 CITEWERTs: A System Combining Cite-Worthiness with Citation Recommendation
  84. Altmetric Badge
    Chapter 83 Elastic ChatNoir: Search Engine for the ClueWeb and the Common Crawl
Attention for Chapter 50: To Cite, or Not to Cite? Detecting Citation Contexts in Text
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Chapter title
To Cite, or Not to Cite? Detecting Citation Contexts in Text
Chapter number 50
Book title
Advances in Information Retrieval
Published by
Springer, Cham, March 2018
DOI 10.1007/978-3-319-76941-7_50
Book ISBNs
978-3-31-976940-0, 978-3-31-976941-7
Authors

Michael Färber, Alexander Thiemann, Adam Jatowt

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Lecturer 2 13%
Student > Postgraduate 2 13%
Professor 1 7%
Lecturer > Senior Lecturer 1 7%
Other 2 13%
Unknown 4 27%
Readers by discipline Count As %
Computer Science 11 73%
Unknown 4 27%