ACL RD-TEC 1.0 Summarization of W06-2701
Paper Title:
REPRESENTING AND QUERYING MULTI-DIMENSIONAL MARKUP FOR QUESTION ANSWERING
REPRESENTING AND QUERYING MULTI-DIMENSIONAL MARKUP FOR QUESTION ANSWERING
Authors: Wouter Alink and Valentin Jijkoun and David Ahn and Maarten de Rijke and Peter Boncz and Arjen de Vries
Primarily assigned technology terms:
- algorithm
- annotation tool
- automatic annotation
- compiler
- computational linguistics
- corpus-based question answering
- corpus-based question-answering
- corpus-based question-answering system
- database
- information extraction
- information retrieval
- keyword search
- learning
- learning methods
- linear scan
- linguistic analysis
- linguistic processing
- machine learning
- machine learning methods
- parser
- parsers
- parsing
- processing
- processing tools
- processor
- qa framework
- qa system
- query evaluation
- query language
- querying
- question answering
- question answering system
- question-answering
- question-answering system
- relational database
- retrieving
- search
- splitting
- tagger
- taggers
- text analysis
- text processing
- tokenization
- xml markup
- xquery
Other assigned terms:
- ambiguity
- annotation
- annotation language
- annotation layer
- annotation process
- answer type
- approach
- benchmark
- candidate answer
- case
- characters
- chunks
- conceptual model
- corpora
- determiner
- document
- document text
- dutch
- experimental results
- feature
- frame
- implementation
- index
- input text
- keyword
- keyword query
- linguistic
- linguistic annotation
- linguistics
- mapping
- mappings
- markup
- metadata
- named entities
- named-entity
- natural language
- part-of-speech
- phrase
- phrase structure
- polysemy
- process
- queries
- query
- relational algebra
- representations
- sentence
- sentences
- sentential subject
- source text
- symbols
- syntactic variation
- temporal expression
- temporal expressions
- text
- text annotation
- timex
- tree
- trees
- user
- word
- words
- wrapper
- xml document
