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
A practically efficient and almost linear unification algorithm
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
Unification: a multidisciplinary survey
ACM Computing Surveys (CSUR)
Natural language generation in COMET
Current research in natural language generation
Planning English Sentences
A lattice theoretic approach to computation based on a calculus of partially ordered type structures (property inheritance, semantic nets, graph unification)
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
The semantics of grammar formalisms seen as computer languages
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
A logical semantics for feature structures
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
Functional unification grammar revisited
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Structure sharing with binary trees
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
A structure-sharing representation for unification-based grammar formalisms
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
Automatically extracting and representing collocations for language generation
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Language As a Cognitive Process: Syntax
Language As a Cognitive Process: Syntax
COMET: generating coordinated multimedia explanations
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Interactive multimedia explanation for equipment maintenance and repair
HLT '90 Proceedings of the workshop on Speech and Natural Language
Retrieving collocations from text: Xtract
Computational Linguistics - Special issue on using large corpora: I
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
Automatically extracting and representing collocations for language generation
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Using classification to generate text
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Generating coherent argumentative paragraphs
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Generation of simple Turkish sentences with systemic-functional grammar
NeMLaP3/CoNLL '98 Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning
Innovative approach for engineering NLG systems: the content determination case study
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Generating adjectives to express the speaker's argumentative intent
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
Generating cross-references for multimedia explanation
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Generating argumentative judgment determiners
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
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Functional Unification Grammars (FUGs) are popular for natural language applications because the formalism uses very few primitives and is uniform and expressive. In our work on text generation, we have found that it also has annoying limitations: it is not suited for the expression of simple, yet very common, taxonomic relations and it does not allow the specification of completeness conditions. We have implemented an extension of traditional functional unification. This extension addresses these limitations while preserving the desirable properties of FUGs. It is based on the notions of typed features and typed constituents. We show the advantages of this extension in the context of a grammar used for text generation.