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Recursive Deep Models for Discourse Parsing
Jiwei Li
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Rumeng Li
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Eduard Hovy
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Paper Details:
Month: October
Year: 2014
Location: Doha, Qatar
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Exploring Text Links for Coherent Multi-Document Summarization
Xun Wang
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Masaaki Nishino
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Tsutomu Hirao
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Katsuhito Sudoh
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Masaaki Nagata
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Detection, Disambiguation and Argument Identification of Discourse Connectives in Chinese Discourse Parsing
Yong-Siang Shih
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Hsin-Hsi Chen
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Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs
Jad Kabbara
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Yulan Feng
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Jackie Chi Kit Cheung
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A Unified RvNN Framework for End-to-End Chinese Discourse Parsing
Lin Chuan-An
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Hen-Hsen Huang
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Zi-Yuan Chen
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Hsin-Hsi Chen
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Better Document-level Sentiment Analysis from RST Discourse Parsing
Parminder Bhatia
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Yangfeng Ji
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Jacob Eisenstein
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Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition
Biao Zhang
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Jinsong Su
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Deyi Xiong
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Yaojie Lu
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Hong Duan
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Junfeng Yao
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When Are Tree Structures Necessary for Deep Learning of Representations?
Jiwei Li
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Thang Luong
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Dan Jurafsky
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Eduard Hovy
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Discourse Parsing with Attention-based Hierarchical Neural Networks
Qi Li
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Tianshi Li
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Baobao Chang
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Learning Contextually Informed Representations for Linear-Time Discourse Parsing
Yang Liu
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Mirella Lapata
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Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank
Kai Zhao
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Liang Huang
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Does syntax help discourse segmentation? Not so much
Chloé Braud
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Ophélie Lacroix
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Anders Søgaard
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Causal Explanation Analysis on Social Media
Youngseo Son
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Nipun Bayas
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H. Andrew Schwartz
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Cross-lingual RST Discourse Parsing
Chloé Braud
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Maximin Coavoux
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Anders Søgaard
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Do We Really Need All Those Rich Linguistic Features? A Neural Network-Based Approach to Implicit Sense Labeling
Niko Schenk
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Christian Chiarcos
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Kathrin Donandt
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Samuel Rönnqvist
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Evgeny Stepanov
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Giuseppe Riccardi
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Empty Category Detection With Joint Context-Label Embeddings
Xun Wang
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Katsuhito Sudoh
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Masaaki Nagata
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Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives
Attapol Rutherford
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Nianwen Xue
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A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models
Yangfeng Ji
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Gholamreza Haffari
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Jacob Eisenstein
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A Hierarchical Neural Autoencoder for Paragraphs and Documents
Jiwei Li
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Thang Luong
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Dan Jurafsky
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A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering
Di Wang
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Eric Nyberg
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Using Sentence-Level LSTM Language Models for Script Inference
Karl Pichotta
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Raymond J. Mooney
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A Neural Local Coherence Model
Dat Tien Nguyen
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Shafiq Joty
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A Two-Stage Parsing Method for Text-Level Discourse Analysis
Yizhong Wang
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Sujian Li
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Houfeng Wang
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Cross-lingual and cross-domain discourse segmentation of entire documents
Chloé Braud
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Ophélie Lacroix
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Anders Søgaard
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A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text
Shashank Srivastava
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Nebojsa Jojic
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One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations
Yangfeng Ji
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Jacob Eisenstein
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A Joint Model of Rhetorical Discourse Structure and Summarization
Naman Goyal
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Jacob Eisenstein
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Exploring Joint Neural Model for Sentence Level Discourse Parsing and Sentiment Analysis
Bita Nejat
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Giuseppe Carenini
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Raymond Ng
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Generating Questions for Reading Comprehension using Coherence Relations
Takshak Desai
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Parag Dakle
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Dan Moldovan
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Discourse Relation Recognition by Comparing Various Units of Sentence Expression with Recursive Neural Network
Atsushi Otsuka
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Toru Hirano
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Chiaki Miyazaki
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Ryo Masumura
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Ryuichiro Higashinaka
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Toshiro Makino
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Yoshihiro Matsuo
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http://nlp.stanford.edu/software/
Field Of Study
Linguistic Trends
Discourse
Task
Tagging
Syntactic Parsing
Discourse Parsing
Textual Entailment
Sentiment Analysis
Approach
Deep Learning
Language
English
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