Evaluating Answers to Definition Questions
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Summary
An initial evaluation of systems that answer questions seeking definitions suggests that humans agree sufficiently as to what the basic concepts that should be included in the definition of a particular subject are to permit the computation of concept recall.
- Type
- article
- Published
- 2003-05-27
- Cited by
- 66
- References
- 2
- Access
- Open access
- OpenAlex
- https://openalex.org/W1974205932
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:11419428
Keywords
Computer science, Recall, Subject (documents), Quality (philosophy), Computation
References
Cited by
- A Hybrid Approach for QA Track Definitional Questions
- Producing an Encyclopedic Dictionary using Patent Documents
- What You Seek Is What You Get: Extraction of Class Attributes from Query Logs
- Approaches to implement and evaluate aggregated search
- Maximum Entropy Context Models for Ranking Biographical Answers to Open-Domain Definition Questions
- Off-line answer extraction for question answering
- Definitional Question-Answering Using Trainable Text Classifiers
- CONTEXTUAL LANGUAGE MODELS FOR RANKING ANSWERS TO NATURAL LANGUAGE DEFINITION QUESTIONS
- Learning search engine specific query transformations for question answering
- Aggregated search: A new information retrieval paradigm
- The role of documents vs. queries in extracting class attributes from text
- Tolerance Rough Set Based Attribute Extraction Approach for Multiple Semantic Knowledge Base Integration
- Semantically driven snippet selection for supporting focused web searches
- Question Answering for the Operation of Software Applications: A Document Retrieval Approach
- A Supervised Learning Approach to Search of Definitions
- A Formal Model for Information Selection in Multi-Sentence Text Extraction
- Organizing and searching the world wide web of facts -- step two: harnessing the wisdom of the crowds
- Ranking definitions with supervised learning methods
- To Click or not to Click? The Role of Contextualized and User-Centric Web Snippets
- Using Question Series to Evaluate Question Answering System Effectiveness
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