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Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Fisher and Jensen–Shannon divergences: Quantitative comparisons among distributions. Application to position and momentum atomic densities
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Jensen-Shannon divergence as a measure of distinguishability between mixed quantum states
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Bidirectional recurrent neural networks
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Speech recognition with deep recurrent neural networks
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Finding high-quality content in social media
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Who says what to whom on twitter
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Quote Recommendation in Dialogue using Deep Neural Network
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A Neural Network Approach to Quote Recommendation in Writings
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Find the Conversation Killers
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Conversation Modeling on Reddit Using a Graph-Structured LSTM
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DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension
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What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations
inferredcites →https://doi.org/10.1609/aaai.v29i1.9530openalex-snapshot
Learning to Recommend Quotes for Writing
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.703openalex-snapshot
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.538openalex-snapshot
Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations
inferredcites →https://doi.org/10.18653/v1/2021.acl-short.95openalex-snapshot
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations
inferredcites →https://doi.org/10.18653/v1/2021.findings-emnlp.183openalex-snapshot
Re-entry Prediction for Online Conversations via Self-Supervised Learning
inferredcites →https://doi.org/10.18653/v1/2022.naacl-mainopenalex-snapshot
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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Using Content-level Structures for Summarizing Microblog Repost Trees
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A Factored Neural Network Model for Characterizing Online Discussions in Vector Space
inferredcites →https://doi.org/10.18653/v1/d18-1351openalex-snapshot
Topic Memory Networks for Short Text Classification
inferredcites →https://doi.org/10.18653/v1/d19-1470openalex-snapshot
Neural Conversation Recommendation with Online Interaction Modeling
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Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity
inferredcites →https://doi.org/10.18653/v1/n16-1134openalex-snapshot
Patterns of Wisdom: Discourse-Level Style in Multi-Sentence Quotations
inferredcites →https://doi.org/10.18653/v1/n18-1035openalex-snapshot
Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse
inferredcites →https://doi.org/10.18653/v1/n18-1185openalex-snapshot
Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog
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Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings
inferredcites →https://doi.org/10.18653/v1/p19-1075openalex-snapshot
ChID: A Large-scale Chinese IDiom Dataset for Cloze Test
inferredcites →https://doi.org/10.18653/v1/p19-1240openalex-snapshot
Topic-Aware Neural Keyphrase Generation for Social Media Language
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Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension
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Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing
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Dialogue-Act Prediction of Future Responses Based on Conversation History
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Glove: Global Vectors for Word Representation
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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
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Convolutional Neural Networks for Sentence Classification
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HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
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Fast Kd-Trees for the Kullback-Leibler Divergence and Other Decomposable Bregman Divergences
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A Study of Idiom Translation Strategies between English and Chinese
inferredcites →https://doi.org/10.48550/arxiv.1412.3555openalex-snapshot
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
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Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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