The identification of important concepts in highly structured technical papers
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
A trainable document summarizer
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
New Methods in Automatic Extracting
Journal of the ACM (JACM)
Statistics-Based Summarization - Step One: Sentence Compression
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Generating natural language summaries from multiple on-line sources
Computational Linguistics - Special issue on natural language generation
A novel use of statistical parsing to extract information from text
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Three generative, lexicalised models for statistical parsing
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Headline generation based on statistical translation
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Algorithms that learn to extract information: BBN: TIPSTER phase III
TIPSTER '98 Proceedings of a workshop on held at Baltimore, Maryland: October 13-15, 1998
Automatic summarization of English broadcast news speech
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Generic technologies for single- and multi-document summarization
Information Processing and Management: an International Journal - Special issue: Cross-language information retrieval
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Employing web mining and data fusion to improve weak ad hoc retrieval
Information Processing and Management: an International Journal - Special issue: AIRS2005: Information retrieval research in Asia
Trimming CFG parse trees for sentence compression using machine learning approaches
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Automatic summarising: The state of the art
Information Processing and Management: an International Journal
Task-based evaluation of text summarization using Relevance Prediction
Information Processing and Management: an International Journal
Abstractive headline generation using WIDL-expressions
Information Processing and Management: an International Journal
Multi-candidate reduction: Sentence compression as a tool for document summarization tasks
Information Processing and Management: an International Journal
Discriminative sentence compression with conditional random fields
Information Processing and Management: an International Journal
Beyond SumBasic: Task-focused summarization with sentence simplification and lexical expansion
Information Processing and Management: an International Journal
Generating succinct titles for web URLs
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic single-document key fact extraction from newswire articles
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Summarization with a joint model for sentence extraction and compression
ILP '09 Proceedings of the Workshop on Integer Linear Programming for Natural Langauge Processing
A parse-and-trim approach with information significance for Chinese sentence compression
UCNLG+Sum '09 Proceedings of the 2009 Workshop on Language Generation and Summarisation
Making sense of archived e-mail: Exploring the Enron collection with NetLens
Journal of the American Society for Information Science and Technology
Automatic generation of story highlights
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
How many words is a picture worth? Automatic caption generation for news images
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Title generation with quasi-synchronous grammar
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Multi-sentence compression: finding shortest paths in word graphs
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Entity-focused sentence simplification for relation extraction
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Extracting 5W1H event semantic elements from Chinese online news
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Automatic headline generation using character cross-correlation
HLT-SS '11 Proceedings of the ACL 2011 Student Session
Improving weak ad-hoc retrieval by web assistance and data fusion
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Paraphrastic sentence compression with a character-based metric: tightening without deletion
MTTG '11 Proceedings of the Workshop on Monolingual Text-To-Text Generation
Evaluating sentence compression: pitfalls and suggested remedies
MTTG '11 Proceedings of the Workshop on Monolingual Text-To-Text Generation
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
LexTrim: a lexical cohesion based approach to parse-and-trim style headline generation
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Generating headline summary from a document set
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Producing headline summaries for newspaper articles
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Comparing topiary-style approaches to headline generation
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Integer linear programming for dutch sentence compression
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Chinese news event 5W1H semantic elements extraction for event ontology population
Proceedings of the 21st international conference companion on World Wide Web
An approach to summarizing Bengali news documents
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Journal of the American Society for Information Science and Technology
ERNESTA: a sentence simplification tool for children's stories in italian
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
An abstractive approach to sentence compression
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
Expert Systems with Applications: An International Journal
How can catchy titles be generated without loss of informativeness?
Expert Systems with Applications: An International Journal
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This paper presents Hedge Trimmer, a HEaDline GEneration system that creates a headline for a newspaper story using linguistically-motivated heuristics to guide the choice of a potential headline. We present feasibility tests used to establish the validity of an approach that constructs a headline by selecting words in order from a story. In addition, we describe experimental results that demonstrate the effectiveness of our linguistically-motivated approach over a HMM-based model, using both human evaluation and automatic metrics for comparing the two approaches.