Text generation: using discourse strategies and focus constraints to generate natural language text
Text generation: using discourse strategies and focus constraints to generate natural language text
Description directed control: its implications for natural language generation
Readings in natural language processing
Knowledge-intensive natural language generation
Artificial Intelligence
The use of explicit user models in text generation: tailoring to a user's level of expertise
The use of explicit user models in text generation: tailoring to a user's level of expertise
Semantic-head-driven generation
Computational Linguistics
Generating coordinating multimedia explanations
Proceedings of the sixth conference on Artificial intelligence applications
The “GENERATION GAP”: the problem of expressibility in text planning
The “GENERATION GAP”: the problem of expressibility in text planning
Natural language generation in COMET
Current research in natural language generation
An overview of head-driven bottom-up generation
Current research in natural language generation
Constraint-based grammar formalisms: parsing and type inference for natural and computer languages
Constraint-based grammar formalisms: parsing and type inference for natural and computer languages
Lexical knowledge representation and natural language processing
Artificial Intelligence - Special volume on natural language processing
Negotiation, feedback, and perspective within natural language generation
Negotiation, feedback, and perspective within natural language generation
Using argumentation to control lexical choice: a functional unification implementation
Using argumentation to control lexical choice: a functional unification implementation
Generating summaries of multiple news articles
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Generating concise natural language summaries
Information Processing and Management: an International Journal - Special issue: summarizing text
Revision-based generation of natural language summaries providing historical background: corpus-based analysis, design, implementation and evaluation
Generating natural language explanations from large-scale knowledge bases
Generating natural language explanations from large-scale knowledge bases
Empirically designing and evaluating a new revision-based model for summary generation
Artificial Intelligence - Special volume on empirical methods
POPL '77 Proceedings of the 4th ACM SIGACT-SIGPLAN symposium on Principles of programming languages
Reversible Grammar in Natural Language Processing
Reversible Grammar in Natural Language Processing
Generating Natural Language under Pragmatic Constraints
Generating Natural Language under Pragmatic Constraints
The Linguistic Basis of Text Generation
The Linguistic Basis of Text Generation
Controlling Content Realization with Functional Unification Grammars
Proceedings of the 6th International Workshop on Natural Language Generation: Aspects of Automated Natural Language Generation
Data-driven indelible planning of discourse generation using salience
Data-driven indelible planning of discourse generation using salience
PHRED: a generator for natural language interfaces
Computational Linguistics
Practical issues in automatic documentation generation
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
Design of a knowledge-based report generator
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Tailoring lexical choice to the user's vocabulary in multimedia explanation generation
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Language production: the source of the dictionary
ACL '81 Proceedings of the 19th annual meeting on Association for Computational Linguistics
Bilingual generation of weather forecasts in an operations environment
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Language As a Cognitive Process: Syntax
Language As a Cognitive Process: Syntax
Artificial Intelligence
Near-synonymy and lexical choice
Computational Linguistics
Trainable methods for surface natural language generation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Hybrid Natural Language Generation from Lexical Conceptual Structures
Machine Translation
International Journal of Human-Computer Studies
From RAGS to RICHES: exploiting the potential of a flexible generation architecture
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Integrating discourse markers into a pipelined natural language generation architecture
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Content aggregation in natural language hypertext summarization of OLAP and data mining discoveries
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
PARAPHRASE '03 Proceedings of the second international workshop on Paraphrasing - Volume 16
Generating and evaluating evaluative arguments
Artificial Intelligence
The representation and use of a visual lexicon for automated graphics generation
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
An empirical study of the influence of user tailoring on evaluative argument effectiveness
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Generating and evaluating evaluative arguments
Artificial Intelligence
Creating disjunctive logical forms from aligned sentences for grammar-based paraphrase generation
MTTG '11 Proceedings of the Workshop on Monolingual Text-To-Text Generation
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Lexical choice is a computationally complex task, requiring a generation system to consider a potentially large number of mappings between concepts and words. Constraints that aid in determining which word is best come from a wide variety of sources, including syntax, semantics, pragmatics, the lexicon, and the underlying domain. Furthermore, in some situations, different constraints come into play early on, while in others, they apply much later. This makes it difficult to determine a systematic ordering in which to apply constraints. In this paper, we present a general approach to lexical choice that can handle multiple, interacting constraints. We focus on the problem of floating constraints, semantic or pragmatic constraints that float, appearing at a variety of different syntactic ranks, often merged with other semantic constraints. This means that multiple content units can be realized by a single surface element, and conversely, that a single content unit can be realized by a variety of surface elements. Our approach uses the Functional Unification Formalism (FUF) to represent a generation lexicon, allowing for declarative and compositional representation of individual constraints.