Sciweavers

189 search results - page 3 / 38
» Chinese Term Extraction Using Different Types of Relevance
Sort
View
LREC
2010
159views Education» more  LREC 2010»
13 years 6 months ago
Bootstrapping Language Neutral Term Extraction
A variety of methods exist for extracting terms and relations between terms from a corpus, each of them having strengths and weaknesses. Rather than just using the joint results, ...
Wauter Bosma, Piek Vossen
CIKM
2011
Springer
12 years 5 months ago
Worker types and personality traits in crowdsourcing relevance labels
Crowdsourcing platforms offer unprecedented opportunities for creating evaluation benchmarks, but suffer from varied output quality from crowd workers who possess different levels...
Gabriella Kazai, Jaap Kamps, Natasa Milic-Frayling
AIRS
2004
Springer
13 years 10 months ago
Multilingual Relevant Sentence Detection Using Reference Corpus
IR with reference corpus is one approach when dealing with relevant sentences detection, which takes the result of IR as the representation of query (sentence). Lack of informatio...
Ming-Hung Hsu, Ming-Feng Tsai, Hsin-Hsi Chen
ACL
2008
13 years 6 months ago
Mining Parenthetical Translations from the Web by Word Alignment
Documents in languages such as Chinese, Japanese and Korean sometimes annotate terms with their translations in English inside a pair of parentheses. We present a method to extrac...
Dekang Lin, Shaojun Zhao, Benjamin Van Durme, Mari...
EMNLP
2006
13 years 6 months ago
Context-Dependent Term Relations for Information Retrieval
Co-occurrence analysis has been used to determine related words or terms in many NLP-related applications such as query expansion in Information Retrieval (IR). However, related w...
Jing Bai, Jian-Yun Nie, Guihong Cao