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Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
Regina Barzilay
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Lillian Lee
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Paper Details:
Month: May 2 - May 7
Year: 2004
Location: Boston, Massachusetts, USA
Venue:
HLT |
NAACL |
Soial Media Activity
Citations
URL
Learning to Model Domain-Specific Utterance Sequences for Extractive Summarization of Contact Center Dialogues
Ryuichiro Higashinaka
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Yasuhiro Minami
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Hitoshi Nishikawa
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Kohji Dohsaka
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Toyomi Meguro
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Satoshi Takahashi
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Genichiro Kikui
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Learning to Generate Coherent Summary with Discriminative Hidden Semi-Markov Model
Hitoshi Nishikawa
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Kazuho Arita
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Katsumi Tanaka
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Tsutomu Hirao
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Toshiro Makino
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Yoshihiro Matsuo
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Incremental Text Structuring with Online Hierarchical Ranking
Erdong Chen
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Benjamin Snyder
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Regina Barzilay
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Seed and Grow: Augmenting Statistically Generated Summary Sentences using Schematic Word Patterns
Stephen Wan
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Robert Dale
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Mark Dras
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Cécile Paris
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Acquiring Domain-Specific Dialog Information from Task-Oriented Human-Human Interaction through an Unsupervised Learning
Ananlada Chotimongkol
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Alexander Rudnicky
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Modeling Organization in Student Essays
Isaac Persing
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Alan Davis
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Vincent Ng
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Incorporating Content Structure into Text Analysis Applications
Christina Sauper
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Aria Haghighi
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Regina Barzilay
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A Simple Domain-Independent Probabilistic Approach to Generation
Gabor Angeli
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Percy Liang
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Dan Klein
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Mixed Membership Markov Models for Unsupervised Conversation Modeling
Michael J. Paul
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Aligning Predicates across Monolingual Comparable Texts using Graph-based Clustering
Michael Roth
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Anette Frank
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Modelling Sequential Text with an Adaptive Topic Model
Lan Du
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Wray Buntine
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Huidong Jin
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A Coherence Model Based on Syntactic Patterns
Annie Louis
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Ani Nenkova
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A Discourse-Driven Content Model for Summarising Scientific Articles Evaluated in a Complex Question Answering Task
Maria Liakata
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Simon Dobnik
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Shyamasree Saha
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Colin Batchelor
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Dietrich Rebholz-Schuhmann
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A Model of Coherence Based on Distributed Sentence Representation
Jiwei Li
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Eduard Hovy
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Neural Net Models of Open-domain Discourse Coherence
Jiwei Li
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Dan Jurafsky
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Story Comprehension for Predicting What Happens Next
Snigdha Chaturvedi
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Haoruo Peng
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Dan Roth
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Deep Attentive Sentence Ordering Network
Baiyun Cui
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Yingming Li
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Ming Chen
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Zhongfei Zhang
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To what extent does sentence-internal realisation reflect discourse context? A study on word order
Sina Zarrieß
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Aoife Cahill
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Jonas Kuhn
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Automatic Evaluation of Information Ordering: Kendall’s Tau
Mirella Lapata
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Evaluating Centering for Information Ordering Using Corpora
Nikiforos Karamanis
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Chris Mellish
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Massimo Poesio
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Jon Oberlander
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Sentiment Analysis Based on Probabilistic Models Using Inter-Sentence Information
Kugatsu Sadamitsu
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Satoshi Sekine
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Mikio Yamamoto
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Museli: A Multi-Source Evidence Integration Approach to Topic Segmentation of Spontaneous Dialogue
Jaime Arguello
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Carolyn Rosé
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Evaluating Centering for Sentence Ordering in Two New Domains
Nikiforos Karamanis
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A Unified Local and Global Model for Discourse Coherence
Micha Elsner
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Joseph Austerweil
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Eugene Charniak
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Exploring Content Models for Multi-Document Summarization
Aria Haghighi
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Lucy Vanderwende
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Global Models of Document Structure using Latent Permutations
Harr Chen
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S.R.K. Branavan
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Regina Barzilay
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David R. Karger
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Domain-Independent Shallow Sentence Ordering
Thade Nahnsen
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Unsupervised Modeling of Twitter Conversations
Alan Ritter
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Colin Cherry
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Bill Dolan
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Automatic Metrics for Genre-specific Text Quality
Annie Louis
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Coherence Modeling for the Automated Assessment of Spontaneous Spoken Responses
Xinhao Wang
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Keelan Evanini
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Klaus Zechner
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Probabilistic Frame Induction
Jackie Chi Kit Cheung
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Hoifung Poon
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Lucy Vanderwende
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What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
Hongyuan Mei
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Mohit Bansal
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Matthew R. Walter
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Discourse-Aware Neural Rewards for Coherent Text Generation
Antoine Bosselut
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Asli Celikyilmaz
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Xiaodong He
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Jianfeng Gao
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Po-Sen Huang
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Yejin Choi
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Modeling Local Coherence: An Entity-Based Approach
Regina Barzilay
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Mirella Lapata
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Unsupervised Learning of Field Segmentation Models for Information Extraction
Trond Grenager
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Dan Klein
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Christopher Manning
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Unsupervised Topic Modelling for Multi-Party Spoken Discourse
Matthew Purver
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Konrad P. Körding
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Thomas L. Griffiths
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Joshua B. Tenenbaum
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A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization
Danushka Bollegala
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Naoaki Okazaki
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Mitsuru Ishizuka
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Unsupervised Topic Identification by Integrating Linguistic and Visual Information Based on Hidden Markov Models
Tomohide Shibata
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Sadao Kurohashi
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Discourse Generation Using Utility-Trained Coherence Models
Radu Soricut
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Daniel Marcu
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An Unsupervised Approach to Biography Production Using Wikipedia
Fadi Biadsy
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Julia Hirschberg
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Elena Filatova
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Coreference-inspired Coherence Modeling
Micha Elsner
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Eugene Charniak
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Automatically Generating Wikipedia Articles: A Structure-Aware Approach
Christina Sauper
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Regina Barzilay
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Entity-Based Local Coherence Modelling Using Topological Fields
Jackie Chi Kit Cheung
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Gerald Penn
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A Hybrid Hierarchical Model for Multi-Document Summarization
Asli Celikyilmaz
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Dilek Hakkani-Tur
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Optimizing Informativeness and Readability for Sentiment Summarization
Hitoshi Nishikawa
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Takaaki Hasegawa
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Yoshihiro Matsuo
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Genichiro Kikui
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Discourse Structure: Theory, Practice and Use
Bonnie Webber
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Markus Egg
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Valia Kordoni
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Discovery of Topically Coherent Sentences for Extractive Summarization
Asli Celikyilmaz
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Dilek Hakkani-Tür
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In-domain Relation Discovery with Meta-constraints via Posterior Regularization
Harr Chen
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Edward Benson
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Tahira Naseem
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Regina Barzilay
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Automatically Evaluating Text Coherence Using Discourse Relations
Ziheng Lin
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Hwee Tou Ng
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Min-Yen Kan
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Probabilistic Document Modeling for Syntax Removal in Text Summarization
William M. Darling
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Fei Song
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Sentence Ordering Driven by Local and Global Coherence for Summary Generation
Renxian Zhang
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SciSumm: A Multi-Document Summarization System for Scientific Articles
Nitin Agarwal
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Ravi Shankar Reddy
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Kiran Gvr
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Carolyn Penstein Rosé
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Spice it up? Mining Refinements to Online Instructions from User Generated Content
Gregory Druck
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Bo Pang
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Probabilistic Domain Modelling With Contextualized Distributional Semantic Vectors
Jackie Chi Kit Cheung
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Gerald Penn
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Learning to Order Natural Language Texts
Jiwei Tan
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Xiaojun Wan
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Jianguo Xiao
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Discovering Latent Structure in Task-Oriented Dialogues
Ke Zhai
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Jason D. Williams
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Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data
Dimitra Gkatzia
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Helen Hastie
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Oliver Lemon
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Unsupervised Alignment of Privacy Policies using Hidden Markov Models
Rohan Ramanath
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Fei Liu
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Norman Sadeh
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Noah A. Smith
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Content Models for Survey Generation: A Factoid-Based Evaluation
Rahul Jha
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Catherine Finegan-Dollak
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Ben King
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Reed Coke
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Dragomir Radev
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Learning Prototypical Event Structure from Photo Albums
Antoine Bosselut
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Jianfu Chen
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David Warren
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Hannaneh Hajishirzi
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Yejin Choi
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Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints
Greg Durrett
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Taylor Berg-Kirkpatrick
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Dan Klein
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Hidden Softmax Sequence Model for Dialogue Structure Analysis
Zhiyang He
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Xien Liu
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Ping Lv
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Ji Wu
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Which Step Do I Take First? Troubleshooting with Bayesian Models
Annie Louis
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Mirella Lapata
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Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health
Tim Althoff
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Kevin Clark
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Jure Leskovec
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Argument Labeling of Explicit Discourse Relations using LSTM Neural Networks
Sohail Hooda
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Leila Kosseim
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Aligning Predicate Argument Structures in Monolingual Comparable Texts: A New Corpus for a New Task
Michael Roth
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Anette Frank
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Using a Corpus of Sentence Orderings Defined by Many Experts to Evaluate Metrics of Coherence for Text Structuring
Nikiforos Karamanis
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Chris Mellish
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Generative Content Models for Structural Analysis of Medical Abstracts
Jimmy Lin
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Damianos Karakos
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Dina Demner-Fushman
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Sanjeev Khudanpur
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Topic-Segmentation of Dialogue
Jaime Arguello
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Carolyn Rosé
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Inferring Tutorial Dialogue Structure with Hidden Markov Modeling
Kristy Elizabeth Boyer
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Eun Young Ha
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Robert Phillips
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Michael Wallis
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Mladen Vouk
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James Lester
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A Classification Algorithm for Predicting the Structure of Summaries
Horacio Saggion
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On generating coherent multilingual descriptions of museum objects from Semantic Web ontologies
Dana Dannélls
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Global Features for Shallow Discourse Parsing
Sucheta Ghosh
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Giuseppe Riccardi
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Richard Johansson
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Modeling coherence in ESOL learner texts
Helen Yannakoudakis
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Ted Briscoe
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Generating Student Feedback from Time-Series Data Using Reinforcement Learning
Dimitra Gkatzia
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Helen Hastie
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Srinivasan Janarthanam
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Oliver Lemon
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Two-Stage Stochastic Natural Language Generation for Email Synthesis by Modeling Sender Style and Topic Structure
Yun-Nung Chen
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Alexander Rudnicky
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Automatically Detecting the Position and Type of Psychiatric Evaluation Report Sections
Deya Banisakher
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Naphtali Rishe
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Mark A. Finlayson
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Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methods
Chris van der Lee
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Emiel Krahmer
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Sander Wubben
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Modeling Structural Topic Transitions for Automatic Lyrics Generation
Kento Watanabe
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Yuichiroh Matsubayashi
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Kentaro Inui
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Masataka Goto
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http://www.sls.csail.mit.edu/regina/struct
Field Of Study
Linguistic Trends
Discourse
Task
Summarization
Language
English
Dataset
News
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