On Temporally Sensitive Word Embeddings for News Information Retrieval.
Taewon YoonSung-Hyon MyaengHyun-Wook WooSeung-Wook LeeSang-Bum KimPublished in: NewsIR@ECIR (2018)
Keyphrases
- information retrieval
- keywords
- term weighting
- search engine
- spatio temporal
- spoken document retrieval
- news articles
- information retrieval systems
- n gram
- vector space
- test collection
- word sense disambiguation
- language model
- co occurrence
- vector space model
- information extraction
- news stories
- temporal information
- social media
- sparck jones
- related documents
- broadcast news
- word recognition
- relevance feedback
- text mining
- language modeling
- text retrieval
- euclidean space
- question answering
- document retrieval
- computational linguistics
- word segmentation
- retrieval effectiveness
- related words
- retrieval systems
- similarity measure
- news corpus
- relevant documents