Mille et al., 2008 - Google Patents
Making Text Resources Accessible to the Reader: the Case of Patent Claims.Mille et al., 2008
View PDF- Document ID
- 14481901006434046760
- Author
- Mille S
- Wanner L
- Publication year
- Publication venue
- LREC
External Links
Snippet
Hardly any other kind of text structures is as notoriously difficult to read as patents–which is first of all due to their abstract vocabulary and their very complex syntactic constructions. Especially the claims in a patent are a challenge: in accordance with international patent …
- 238000004220 aggregation 0 abstract description 18
Classifications
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- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2705—Parsing
- G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
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- G06F17/277—Lexical analysis, e.g. tokenisation, collocates
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- G06F17/2809—Data driven translation
- G06F17/2827—Example based machine translation; Alignment
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- G06F17/2872—Rule based translation
- G06F17/2881—Natural language generation
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
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- G06F17/30675—Query execution
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- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/18—Speech classification or search using natural language modelling
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