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Trainable Sentence Planning for Complex Information Presentations in Spoken Dialog Systems
Amanda Stent
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Rashmi Prasad
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Marilyn Walker
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Paper Details:
Month: July
Year: 2004
Location: Barcelona, Spain
Venue:
ACL |
Citations
URL
Predicting sentential semantic compatibility for aggregation in text-to-text generation
Victor Chenal
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Jackie Chi Kit Cheung
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Inducing Document Plans for Concept-to-Text Generation
Ioannis Konstas
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Mirella Lapata
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Detecting Content-Heavy Sentences: A Cross-Language Case Study
Junyi Jessy Li
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Ani Nenkova
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Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems
Tsung-Hsien Wen
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Milica Gašić
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Nikola Mrkšić
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Pei-Hao Su
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David Vandyke
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Steve Young
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Natural Language Generation as Planning Under Uncertainty for Spoken Dialogue Systems
Verena Rieser
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Oliver Lemon
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Controlling User Perceptions of Linguistic Style: Trainable Generation of Personality Traits
François Mairesse
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Marilyn A. Walker
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Summarizing Information Graphics Textually
Seniz Demir
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Sandra Carberry
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Kathleen F. McCoy
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Natural Language Generation for Spoken Dialogue System using RNN Encoder-Decoder Networks
Van-Khanh Tran
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Le-Minh Nguyen
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A Comparative Evaluation Methodology for NLG in Interactive Systems
Helen Hastie
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Anja Belz
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Data-driven sentence generation with non-isomorphic trees
Miguel Ballesteros
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Bernd Bohnet
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Simon Mille
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Leo Wanner
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Multi-domain Neural Network Language Generation for Spoken Dialogue Systems
Tsung-Hsien Wen
|
Milica Gašić
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Nikola Mrkšić
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Lina M. Rojas-Barahona
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Pei-Hao Su
|
David Vandyke
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Steve Young
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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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A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation
Juraj Juraska
|
Panagiotis Karagiannis
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Kevin Bowden
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Marilyn Walker
|
Instance-based Sentence Boundary Determination by Optimization for Natural Language Generation
Shimei Pan
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James Shaw
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PERSONAGE: Personality Generation for Dialogue
François Mairesse
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Marilyn Walker
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Optimising Information Presentation for Spoken Dialogue Systems
Verena Rieser
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Oliver Lemon
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Xingkun Liu
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Training a Natural Language Generator From Unaligned Data
Ondřej Dušek
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Filip Jurčíček
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Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings
Ondřej Dušek
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Filip Jurčíček
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Annotation and Data Mining of the Penn Discourse TreeBank
Rashmi Prasad
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Eleni Miltsakaki
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Aravind Joshi
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Bonnie Webber
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Context-sensitive Utterance Planning for CCG
Geert-Jan Kruijff
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Practical Grammar-Based NLG from Examples
David DeVault
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David Traum
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Ron Artstein
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Generation Under Uncertainty
Oliver Lemon
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Srini Janarthanam
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Verena Rieser
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Towards a Surface Realization-Oriented Corpus Annotation
Leo Wanner
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Simon Mille
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Bernd Bohnet
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Optimising Incremental Generation for Spoken Dialogue Systems: Reducing the Need for Fillers
Nina Dethlefs
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Helen Hastie
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Verena Rieser
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Oliver Lemon
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Training an integrated sentence planner on user dialogue
Brian McMahan
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Matthew Stone
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Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking
Tsung-Hsien Wen
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Milica Gašić
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Dongho Kim
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Nikola Mrkšić
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Pei-Hao Su
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David Vandyke
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Steve Young
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Reading Times Predict the Quality of Generated Text Above and Beyond Human Ratings
Sina Zarrieß
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Sebastian Loth
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David Schlangen
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The aNALoGuE Challenge: Non Aligned Language GEneration
Jekaterina Novikova
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Verena Rieser
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OSU Multimodal Machine Translation System Report
Mingbo Ma
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Dapeng Li
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Kai Zhao
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Liang Huang
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Harvesting Creative Templates for Generating Stylistically Varied Restaurant Reviews
Shereen Oraby
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Sheideh Homayon
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Marilyn Walker
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Beyond On-hold Messages: Conversational Time-buying in Task-oriented Dialogue
Soledad López Gambino
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Sina Zarrieß
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David Schlangen
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Controlling Personality-Based Stylistic Variation with Neural Natural Language Generators
Shereen Oraby
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Lena Reed
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Shubhangi Tandon
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Sharath T.S.
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Stephanie Lukin
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Marilyn Walker
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A Context-aware Convolutional Natural Language Generation model for Dialogue Systems
Sourab Mangrulkar
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Suhani Shrivastava
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Veena Thenkanidiyoor
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Dileep Aroor Dinesh
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Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems
Bo-Hsiang Tseng
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Florian Kreyssig
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Paweł Budzianowski
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Iñigo Casanueva
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Yen-Chen Wu
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Stefan Ultes
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Milica Gašić
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Syntactic Manipulation for Generating more Diverse and Interesting Texts
Jan Milan Deriu
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Mark Cieliebak
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End-to-End Content and Plan Selection for Data-to-Text Generation
Sebastian Gehrmann
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Falcon Dai
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Henry Elder
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Alexander Rush
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Can Neural Generators for Dialogue Learn Sentence Planning and Discourse Structuring?
Lena Reed
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Shereen Oraby
|
Marilyn Walker
|
Characterizing Variation in Crowd-Sourced Data for Training Neural Language Generators to Produce Stylistically Varied Outputs
Juraj Juraska
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Marilyn Walker
|
No URLs Found
Field Of Study
Linguistic Trends
Discourse
Prosody
Language
English
Dataset
Spoken Dialog
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