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Deep Dependency Substructure-Based Learning for Multidocument Summarization

https://doi.org/10.1145/2766447
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Outgoing claims: the papers this work cites, builds on, or argues with.

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An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
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Passage Reranking for Question Answering Using Syntactic Structures and Answer Types
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Open-Domain Multi-Document Summarization via Information Extraction: Challenges and Prospects
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A document-sensitive graph model for multi-document summarization
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Centroid-based summarization of multiple documents
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Multi-candidate reduction: Sentence compression as a tool for document summarization tasks
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Applying regression models to query-focused multi-document summarization
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The Logic of Typed Feature Structures
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Frequent subgraph discovery
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Proceedings 2002 IEEE International Conference on Data Mining. ICDM 2002
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gSpan: graph-based substructure pattern mining
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SRRank: Leveraging Semantic Roles for Extractive Multi-Document Summarization
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A new approach to automatic speech summarization
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Multi-topic based Query-oriented Summarization
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Proceedings of the 2022 SIAM International Conference on Data Mining (SDM)
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Question answering passage retrieval using dependency relations
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Mining dependency relations for query expansion in passage retrieval
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Developing learning strategies for topic-based summarization
inferredcites →https://doi.org/10.1145/1390334.1390387openalex-snapshot
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
inferredcites →https://doi.org/10.1145/1553374.1553392openalex-snapshot
A convex formulation for learning shared structures from multiple tasks
inferredcites →https://doi.org/10.1145/215206.215333openalex-snapshot
A trainable document summarizer
inferredcites →https://doi.org/10.1145/383952.384025openalex-snapshot
High performance question/answering
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Automatic Labeling of Semantic Roles
inferredcites →https://doi.org/10.1184/r1/6555362openalex-snapshot
Learning Policies for Contextual Submodular Prediction
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Integrating Clustering and Multi-Document Summarization by Bi-Mixture Probabilistic Latent Semantic Analysis (PLSA) with Sentence Bases
inferredcites →https://doi.org/10.1609/aaai.v26i1.8352openalex-snapshot
Query-Oriented Multi-Document Summarization via Unsupervised Deep Learning
inferredcites →https://doi.org/10.18653/v1/d13-1047openalex-snapshot
Document Summarization via Guided Sentence Compression
inferredcites →https://doi.org/10.2307/414493openalex-snapshot
The mental representation of grammatical relations . Edited by Joan Bresnan. Cambridge, MA: MIT Press, 1982. Pp. 874. $35.00.
inferredcites →https://doi.org/10.3115/1072228.1072281openalex-snapshot
Extracting important sentences with support vector machines
inferredcites →https://doi.org/10.3115/1073083.1073092openalex-snapshot
Learning surface text patterns for a Question Answering system
inferredcites →https://doi.org/10.3115/1073445.1073465openalex-snapshot
Automatic evaluation of summaries using N-gram co-occurrence statistics
inferredcites →https://doi.org/10.3115/1075178openalex-snapshot
Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - ACL '03
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Proceedings of the 38th Annual Meeting on Association for Computational Linguistics - ACL '00
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Deep dependencies from context-free statistical parsers
inferredcites →https://doi.org/10.3115/1220355.1220412openalex-snapshot
A formal model for information selection in multi-sentence text extraction
inferredcites →https://doi.org/10.3115/1220355.1220419openalex-snapshot
Dependency-based sentence alignment for multiple document summarization
inferredcites →https://doi.org/10.3115/1557690.1557748openalex-snapshot
FastSum
inferredcites →https://doi.org/10.3115/1599081openalex-snapshot
Proceedings of the 22nd International Conference on Computational Linguistics - COLING '08
inferredcites →https://doi.org/10.3115/1599081.1599205openalex-snapshot
Extractive summarization using supervised and semi-supervised learning
inferredcites →https://doi.org/10.3115/1609067.1609154openalex-snapshot
Text summarization model based on maximum coverage problem and its variant
inferredcites →https://doi.org/10.3115/1610075openalex-snapshot
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing - EMNLP '06
inferredcites →https://doi.org/10.3115/1611638.1611640openalex-snapshot
A scalable global model for summarization
inferredcites →https://doi.org/10.3115/991719.991757openalex-snapshot
Parsing strategies with 'lexicalized' grammars
inferredcites →https://doi.org/10.4018/978-1-4666-5019-0.ch002openalex-snapshot
Multi-Document Summarization by Extended Graph Text Representation and Importance Refinement
inferredcites →https://doi.org/10.48550/arxiv.1210.4871openalex-snapshot
Learning Mixtures of Submodular Shells with Application to Document Summarization
inferredcites →https://doi.org/10.48550/arxiv.1606.07548openalex-snapshot
A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization
inferredcites →https://doi.org/10.5281/zenodo.14167771openalex-snapshot
Learning Sub-Structures of Document Semantic Graphs for Document Summarization
inferredcites →https://doi.org/10.5555/1046920.1194905openalex-snapshot
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data
inferredcites →https://doi.org/10.7551/mitpress/6591.001.0001openalex-snapshot
The Syntactic Process

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114946openalex-snapshot
An attention enhanced sentence feature network for subtitle extraction and summarization
inferred← citeshttps://doi.org/10.1016/j.jksuci.2020.05.006openalex-snapshot
Review of automatic text summarization techniques & methods
inferred← citeshttps://doi.org/10.1109/ains.2017.8270423openalex-snapshot
N-SVDD: A sensitive message analysis model for mobile forensics
inferred← citeshttps://doi.org/10.1145/3077136.3080792openalex-snapshot
Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model
inferred← citeshttps://doi.org/10.1145/3200864openalex-snapshot
Sentence Relations for Extractive Summarization with Deep Neural Networks
inferred← citeshttps://doi.org/10.1145/3406109openalex-snapshot
Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning
inferred← citeshttps://doi.org/10.1145/3511896openalex-snapshot
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond
inferred← citeshttps://doi.org/10.1145/3517221openalex-snapshot
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order
inferred← citeshttps://doi.org/10.1145/3530012openalex-snapshot
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games
inferred← citeshttps://doi.org/10.15368/theses.2016.118openalex-snapshot
WHISK: Web Hosted Information into Summarized Knowledge
inferred← citeshttps://doi.org/10.24963/ijcai.2018/567openalex-snapshot
Topic-to-Essay Generation with Neural Networks
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