Semantic-Syntactic Analysis for Question Answering and Definition Extraction
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Summary
Methods for solving applied text-processing tasks: question answering and extraction of definitions from scientific publications and comparison of two approaches to syntactic and semantic analysis: separate and joint semantic–syntactic parsing are presented.
- Type
- article
- Published
- 2017-12-01
- Cited by
- 3
- References
- 23
- OpenAlex
- https://openalex.org/W2799550282
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:4419707
Keywords
Question answering, Computer science, Natural language processing, Information retrieval, Artificial intelligence
References
- Using Semantic Roles to Improve Question Answering
- The TREC question answering track
- ILQUA--An IE-Driven Question Answering System
- Relational-situational method for text search and analysis and its applications
- Combining semantic information in question answering systems
- Indexing on Semantic Roles for Question Answering
- Exploring Correlation of Dependency Relation Paths for Answer Extraction
- Learning to rank for robust question answering
- Information Extraction over Structured Data: Question Answering with Freebase
- Building Watson: An Overview of the DeepQA Project
- Matching sets of parse trees for answering multi-sentence questions
- Overview of the TREC 2007 Question Answering Track
- The TREC-8 Question Answering Track Report
- Automatic Labeling of Semantic Roles
- Automatic Labeling of Semantic Roles Qualifying Exam Proposal
- Methods for seMantic role labeling of russian texts
- MaltParser: A language-independent system for data-driven dependency parsing
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