Search Challenges in Natural Language Generation with Complex Optimization Objectives. Demberg, V., Hoffmann, J., Howcroft, D. M., Klakow, D., & Torralba, Á. In abstract bibtex Automatic natural language generation (NLG) is a difficult problem already when merely trying to come up with natural-sounding utterances. Ubiquituous applications, in particular companion technologies, pose the additional challenge of flexible adaptation to a user or a situation. This requires optimizing complex objectives such as information density, in combinatorial search spaces described using declarative input languages. We believe that AI search and planning is a natural match for these problems, and could substantially contribute to solving them effectively. We illustrate this using a concrete example NLG framework, give a summary of the relevant optimization objectives, and provide an initial list of research challenges.
@InProceedings{spark16-10,
author = {Vera Demberg and Joerg Hoffmann and David M. Howcroft and Dietrich Klakow and Álvaro Torralba},
title = {Search Challenges in Natural Language Generation with Complex Optimization Objectives},
abstract = {Automatic natural language generation (NLG) is a difficult problem
already when merely trying to come up with natural-sounding
utterances. Ubiquituous applications, in particular companion
technologies, pose the additional challenge of flexible adaptation to
a user or a situation. This requires optimizing complex objectives
such as information density, in combinatorial search spaces described
using declarative input languages. We believe that AI search and
planning is a natural match for these problems, and could
substantially contribute to solving them effectively. We illustrate
this using a concrete example NLG framework, give a summary of the
relevant optimization objectives, and provide an initial list of
research challenges.},
keywords = {Natural language processing, Search, Planning}
}
Downloads: 0
{"_id":"giY9C3hiNnnog8fSR","bibbaseid":"demberg-hoffmann-howcroft-klakow-torralba-searchchallengesinnaturallanguagegenerationwithcomplexoptimizationobjectives","downloads":0,"creationDate":"2016-04-07T22:01:23.444Z","title":"Search Challenges in Natural Language Generation with Complex Optimization Objectives","author_short":["Demberg, V.","Hoffmann, J.","Howcroft, D. M.","Klakow, D.","Torralba, Á."],"year":null,"bibtype":"inproceedings","biburl":"icaps16.icaps-conference.org/spark16.bib","bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Vera"],"propositions":[],"lastnames":["Demberg"],"suffixes":[]},{"firstnames":["Joerg"],"propositions":[],"lastnames":["Hoffmann"],"suffixes":[]},{"firstnames":["David","M."],"propositions":[],"lastnames":["Howcroft"],"suffixes":[]},{"firstnames":["Dietrich"],"propositions":[],"lastnames":["Klakow"],"suffixes":[]},{"firstnames":["Álvaro"],"propositions":[],"lastnames":["Torralba"],"suffixes":[]}],"title":"Search Challenges in Natural Language Generation with Complex Optimization Objectives","abstract":"Automatic natural language generation (NLG) is a difficult problem already when merely trying to come up with natural-sounding utterances. Ubiquituous applications, in particular companion technologies, pose the additional challenge of flexible adaptation to a user or a situation. This requires optimizing complex objectives such as information density, in combinatorial search spaces described using declarative input languages. We believe that AI search and planning is a natural match for these problems, and could substantially contribute to solving them effectively. We illustrate this using a concrete example NLG framework, give a summary of the relevant optimization objectives, and provide an initial list of research challenges.","keywords":"Natural language processing, Search, Planning","bibtex":"@InProceedings{spark16-10,\r\n author = {Vera Demberg and Joerg Hoffmann and David M. Howcroft and Dietrich Klakow and Álvaro Torralba},\r\n title = {Search Challenges in Natural Language Generation with Complex Optimization Objectives},\r\n abstract = {Automatic natural language generation (NLG) is a difficult problem \r\nalready when merely trying to come up with natural-sounding \r\nutterances. Ubiquituous applications, in particular companion \r\ntechnologies, pose the additional challenge of flexible adaptation to \r\na user or a situation. This requires optimizing complex objectives \r\nsuch as information density, in combinatorial search spaces described \r\nusing declarative input languages. We believe that AI search and \r\nplanning is a natural match for these problems, and could \r\nsubstantially contribute to solving them effectively. We illustrate \r\nthis using a concrete example NLG framework, give a summary of the \r\nrelevant optimization objectives, and provide an initial list of \r\nresearch challenges.},\r\n keywords = {Natural language processing, Search, Planning}\r\n}\r\n\r\n","author_short":["Demberg, V.","Hoffmann, J.","Howcroft, D. M.","Klakow, D.","Torralba, Á."],"key":"spark16-10","id":"spark16-10","bibbaseid":"demberg-hoffmann-howcroft-klakow-torralba-searchchallengesinnaturallanguagegenerationwithcomplexoptimizationobjectives","role":"author","urls":{},"keyword":["Natural language processing","Search","Planning"],"metadata":{"authorlinks":{}}},"search_terms":["search","challenges","natural","language","generation","complex","optimization","objectives","demberg","hoffmann","howcroft","klakow","torralba"],"keywords":["natural language processing","search","planning"],"authorIDs":[],"dataSources":["jaTZy22GuvTvLRhXH","jQBA6tLb2aZ6MhQEz"]}