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Exploring Content Models for Multi-Document Summarization
Aria Haghighi
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Lucy Vanderwende
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Paper Details:
Month: June
Year: 2009
Location: Boulder, Colorado
Venue:
NAACL |
Citations
URL
Multi-Document Summarization via the Minimum Dominating Set
Chao Shen
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Tao Li
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Best Topic Word Selection for Topic Labelling
Jey Han Lau
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David Newman
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Sarvnaz Karimi
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Timothy Baldwin
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Hierarchical Topical Segmentation with Affinity Propagation
Anna Kazantseva
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Stan Szpakowicz
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Query-focused Multi-Document Summarization: Combining a Topic Model with Graph-based Semi-supervised Learning
Yanran Li
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Sujian Li
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Generating Supplementary Travel Guides from Social Media
Liu Yang
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Jing Jiang
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Lifu Huang
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Minghui Qiu
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Lizi Liao
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Empirical analysis of exploiting review helpfulness for extractive summarization of online reviews
Wenting Xiong
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Diane Litman
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A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence
Maxime Peyrard
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Judith Eckle-Kohler
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An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model
Shulei Ma
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Zhi-Hong Deng
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Yunlun Yang
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Abstract Meaning Representation for Multi-Document Summarization
Kexin Liao
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Logan Lebanoff
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Fei Liu
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Summarizing Contrastive Viewpoints in Opinionated Text
Michael Paul
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ChengXiang Zhai
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Roxana Girju
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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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Linear Text Segmentation Using Affinity Propagation
Anna Kazantseva
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Stan Szpakowicz
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Linguistic Redundancy in Twitter
Fabio Massimo Zanzotto
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Marco Pennacchiotti
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Kostas Tsioutsiouliklis
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Generating Aspect-oriented Multi-Document Summarization with Event-aspect model
Peng Li
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Yinglin Wang
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Wei Gao
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Jing Jiang
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Summarizing Complex Events: a Cross-Modal Solution of Storylines Extraction and Reconstruction
Shize Xu
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Shanshan Wang
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Yan Zhang
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System Combination for Multi-document Summarization
Kai Hong
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Mitchell Marcus
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Ani Nenkova
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Scientific Article Summarization Using Citation-Context and Article’s Discourse Structure
Arman Cohan
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Nazli Goharian
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Summarizing Student Responses to Reflection Prompts
Wencan Luo
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Diane Litman
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Generating Coherent Summaries of Scientific Articles Using Coherence Patterns
Daraksha Parveen
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Mohsen Mesgar
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Michael Strube
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Topic Memory Networks for Short Text Classification
Jichuan Zeng
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Jing Li
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Yan Song
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Cuiyun Gao
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Michael R. Lyu
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Irwin King
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Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
Logan Lebanoff
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Kaiqiang Song
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Fei Liu
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DualSum: a Topic-Model based approach for update summarization
Jean-Yves Delort
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Enrique Alfonseca
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A Latent Variable Model for Discourse-aware Concept and Entity Disambiguation
Angela Fahrni
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Michael Strube
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Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality
Jey Han Lau
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David Newman
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Timothy Baldwin
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Improving the Estimation of Word Importance for News Multi-Document Summarization
Kai Hong
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Ani Nenkova
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Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging
Yllias Chali
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Moin Tanvee
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Mir Tafseer Nayeem
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Automatically Assessing Machine Summary Content Without a Gold Standard
Annie Louis
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Ani Nenkova
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A Supervised Approach to Extractive Summarisation of Scientific Papers
Ed Collins
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Isabelle Augenstein
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Sebastian Riedel
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Graph-based Neural Multi-Document Summarization
Michihiro Yasunaga
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Rui Zhang
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Kshitijh Meelu
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Ayush Pareek
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Krishnan Srinivasan
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Dragomir Radev
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A Repository of State of the Art and Competitive Baseline Summaries for Generic News Summarization
Kai Hong
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John Conroy
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Benoit Favre
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Alex Kulesza
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Hui Lin
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Ani Nenkova
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Evaluating a Topic Modelling Approach to Measuring Corpus Similarity
Richard Fothergill
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Paul Cook
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Timothy Baldwin
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Revisiting Summarization Evaluation for Scientific Articles
Arman Cohan
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Nazli Goharian
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Live Blog Corpus for Summarization
Avinesh P.V.S.
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Maxime Peyrard
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Christian M. Meyer
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SumeCzech: Large Czech News-Based Summarization Dataset
Milan Straka
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Nikita Mediankin
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Tom Kocmi
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Zdeněk Žabokrtský
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Vojtěch Hudeček
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Jan Hajič
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Automatic Evaluation of Topic Coherence
David Newman
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Jey Han Lau
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Karl Grieser
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Timothy Baldwin
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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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Apples to Oranges: Evaluating Image Annotations from Natural Language Processing Systems
Rebecca Mason
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Eugene Charniak
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Representing Topics Using Images
Nikolaos Aletras
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Mark Stevenson
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Drug Extraction from the Web: Summarizing Drug Experiences with Multi-Dimensional Topic Models
Michael J. Paul
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Mark Dredze
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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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A Participant-based Approach for Event Summarization Using Twitter Streams
Chao Shen
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Fei Liu
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Fuliang Weng
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Tao Li
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Towards Coherent Multi-Document Summarization
Janara Christensen
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Mausam
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Stephen Soderland
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Oren Etzioni
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Non-decreasing Sub-modular Function for Comprehensible Summarization
Litton J Kurisinkel
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Pruthwik Mishra
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Vigneshwaran Muralidaran
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Vasudeva Varma
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Dipti Misra Sharma
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Objective Function Learning to Match Human Judgements for Optimization-Based Summarization
Maxime Peyrard
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Iryna Gurevych
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Generating Templates of Entity Summaries with an Entity-Aspect Model and Pattern Mining
Peng Li
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Jing Jiang
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Yinglin Wang
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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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A Class of Submodular Functions for Document Summarization
Hui Lin
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Jeff Bilmes
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Automatic Labelling of Topic Models
Jey Han Lau
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Karl Grieser
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David Newman
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Timothy Baldwin
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Automatic Assessment of Coverage Quality in Intelligence Reports
Samuel Brody
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Paul Kantor
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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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A Latent Topic Extracting Method based on Events in a Document and its Application
Risa Kitajima
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Ichiro Kobayashi
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Pattern Learning for Relation Extraction with a Hierarchical Topic Model
Enrique Alfonseca
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Katja Filippova
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Jean-Yves Delort
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Guillermo Garrido
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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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HEADY: News headline abstraction through event pattern clustering
Enrique Alfonseca
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Daniele Pighin
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Guillermo Garrido
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A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization
Lu Wang
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Hema Raghavan
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Vittorio Castelli
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Radu Florian
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Claire Cardie
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Evaluating Text Segmentation using Boundary Edit Distance
Chris Fournier
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Are School-of-thought Words Characterizable?
Xiaorui Jiang
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Xiaoping Sun
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Hai Zhuge
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Hierarchical Summarization: Scaling Up Multi-Document Summarization
Janara Christensen
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Stephen Soderland
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Gagan Bansal
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Mausam
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Query-Chain Focused Summarization
Tal Baumel
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Raphael Cohen
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Michael Elhadad
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A Bayesian Method to Incorporate Background Knowledge during Automatic Text Summarization
Annie Louis
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Nonparametric Method for Data-driven Image Captioning
Rebecca Mason
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Eugene Charniak
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Automatic Labelling of Topic Models Learned from Twitter by Summarisation
Amparo Elizabeth Cano Basave
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Yulan He
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Ruifeng Xu
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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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Predicting Salient Updates for Disaster Summarization
Chris Kedzie
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Kathleen McKeown
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Fernando Diaz
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Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization
Maxime Peyrard
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Judith Eckle-Kohler
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From Extractive to Abstractive Summarization: A Journey
Parth Mehta
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Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback
Avinesh P.V.S
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Christian M. Meyer
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A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments
Maxime Peyrard
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Judith Eckle-Kohler
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Reinforced Extractive Summarization with Question-Focused Rewards
Kristjan Arumae
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Fei Liu
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A Novel Feature-based Bayesian Model for Query Focused Multi-document Summarization
Jiwei Li
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Sujian Li
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Non-Expert Evaluation of Summarization Systems is Risky
Dan Gillick
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Yang Liu
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Summarizing Search Results using PLSI
Jun Harashima
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Sadao Kurohashi
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Extractive Multi-Document Summaries Should Explicitly Not Contain Document Specific Content
Rebecca Mason
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Eugene Charniak
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Text Specificity and Impact on Quality of News Summaries
Annie Louis
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Ani Nenkova
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Unsupervised Topic Modeling Approaches to Decision Summarization in Spoken Meetings
Lu Wang
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Claire Cardie
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Multi-document Summarization Using Bipartite Graphs
Daraksha Parveen
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Michael Strube
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Experimental Design to Improve Topic Analysis Based Summarization
John Miller
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Kathleen McCoy
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Extract with Order for Coherent Multi-Document Summarization
Mir Tafseer Nayeem
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Yllias Chali
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Topic Model Stability for Hierarchical Summarization
John Miller
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Kathleen McCoy
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Learning to Score System Summaries for Better Content Selection Evaluation.
Maxime Peyrard
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Teresa Botschen
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Iryna Gurevych
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Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization
Demian Gholipour Ghalandari
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http://www-nlpir.nist.gov/projects/duc/data.html
http://www-nlpir.nist.gov/projects/duc/duc2007/quality-
Field Of Study
Task
Summarization
Approach
User Evaluation
Topic Modeling
Graphical Model
Language
Chinese
French
Dataset
News
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