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J. Bateman

8 papers hereh-index 395.9k citations278 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • last author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cmp-lg4
  • cs.CL3
  • cs.RO1
same name
  • J. Bateman — 27 papers, h 6
  • J. Bateman — 18 papers, h 14
  • J. Bateman — 1 paper, h 1
  • J. Bateman — 1 paper, h 0
  • J. Bateman — 1 paper, h 2
  • J. Bateman — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
19972021
most citedThe Theoretical Status of Ontologies in Natural Language Processing

36 citations · 91 across the 7 of their papers we have counts for

collaborators
Showing cmp-lgShow all

4 papers · 1 filter

cmp-lg1997★ 3 cited

Application-driven automatic subgrammar extraction

Renate Henschel, John A. Bateman

The space and run-time requirements of broad coverage grammars appear for many applications unreasonably large in relation to the relative simplicity of the task at hand. On the ot…

cmp-lg1997★ 1 cited

Some apparently disjoint aims and requirements for grammar development environments: the case of natural language generation

John A. Bateman

Grammar development environments (GDE's) for analysis and for generation have not yet come together. Despite the fact that analysis-oriented GDE's (such as ALEP) may include some p…

cmp-lg1997★ 2 cited

Emphatic generation: employing the theory of semantic emphasis for text generation

Elke Teich, Beate Firzlaff, John A. Bateman

The paper deals with the problem of text generation and planning approaches making only limited formally specifiable contact with accounts of grammar. We propose an enhancement of…

cmp-lg1997★ 36 cited

The Theoretical Status of Ontologies in Natural Language Processing

John A. Bateman

This paper discusses the use of `ontologies' in Natural Language Processing. It classifies various kinds of ontologies that have been employed in NLP and discusses various benefits…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.