Proceedings of the Workshop on Using corpora for natural language generation

Anja Belz, Sebastian Varges (Editors)


Anthology ID:
2007.mtsummit-ucnlg
Month:
September 11
Year:
2007
Address:
Copenhagen, Denmark
Venue:
MTSummit
SIG:
Publisher:
URL:
https://aclanthology.org/2007.mtsummit-ucnlg
DOI:
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Proceedings of the Workshop on Using corpora for natural language generation
Anja Belz | Sebastian Varges

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Automatic language translation generation help needs badly
Kevin Knight

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Automatic evaluation of generation and parsing for machine translation with automatically acquired transfer rules
Yvette Graham | Deirdre Hogan | Josef van Genabith

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Generalizing syntactic collocates for creative language generation
David Hardcastle

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Towards broad coverage surface realization with CCG
Michael White | Rajakrishnan Rajkumar | Scott Martin

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Method of selecting training sets to build compact and efficient language model
Keiji Yasuda | Hirofumi Yamamoto | Eiichiro Sumita

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The induction and evaluation of word order rules using corpora based on the two concepts of topological models
Bernd Bohnet

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A probabilistic approach to linguistic analysis in machine translation output evaluation
Olivier Gouirand

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Declarative syntactic processing of natural language using concurrent constraint programming and probabilistic dependency modeling
Irene Langkilde-Geary

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NLG is still relevant to MT
Nizar Habash

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Evaluation of NLG: some analogies and differences with machine translation and reference resolution
Andrei Popescu-Belis

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Generation issues in machine translation
Gregor Thurmair

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One-way translation: an opportunity for NLG and MT research to interact
Sebastian Varges

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The attribute selection for generation of referring expressions challenge. [Introduction to Shared Task Evaluation Challenge.]
Anja Belz | Albert Gatt | Ehud Reiter | Jette Viethen

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The attribute selection for GRE challenge: overview and evaluation results
Anja Belz | Albert Gatt

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IS-FBN, IS-FBS, IS-IAC: the adaptation of two classic algorithms for the generation of referring expresssions in order to produce expressions like humans do
Bernd Bohnet

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NIL: attribute selection for matching the task corpus using relative attribute groupings obtained from the test data
Raquel Hervás | Pablo Gervás

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DIT: frequency based incremental attribute selection for GRE
J. D. Kelleher

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Evaluating an open-domain GRE algorithm on closed domains system IDs: CAM-B, CAM-T, CAM-BU and CAM-TU
Advaith Siddharthan | Ann Copestake

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Cost-based attribute selection for GRE (GRAPH-SC/GRAPH-FP)
Mariët Theune | Pascal Touset | Jette Viethen | Emiel Krahmer

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TITCH: attribute selection based on discrimination power and frequency
Philipp Spanger | Kurosawa Takahiro | Tokunaga Takenobu

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Content determination in GRE: evaluating the evaluator
Kees van Deemter | Albert Gatt