Identifying the requirement conflicts in SRS documents using transformer-based sentence embeddings.
Garima MalikMucahit CevikDevang ParikhAyse BasarPublished in: CoRR (2022)
Keyphrases
- vector space
- sentence level
- information retrieval
- document collections
- document level
- document set
- relevant documents
- web documents
- word frequency
- information retrieval systems
- xml documents
- metadata
- text documents
- document summaries
- sentence similarity
- keywords
- document classification
- parallel corpus
- syntactic information
- automatic summarization
- distance measure
- vector space model
- conflict resolution
- multi document summarization
- syntactic analysis
- text corpus
- semantic content
- natural language text
- noun phrases
- sentiment classification
- automatic text summarization
- fuzzy logic
- natural language
- power transformers
- sentence extraction
- query biased
- sentiment polarity
- multidocument summarization
- training corpus
- semantic role labeling
- cross lingual
- document clustering
- fault diagnosis
- query expansion
- dimensionality reduction
- text mining
- information extraction
- search engine