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Incorporating Sentiment Prior Knowledge for Weakly Supervised Sentiment Analysis
Article No.: 4
This article presents two novel approaches for incorporating sentiment prior knowledge into the topic model for weakly supervised sentiment analysis where sentiment labels are considered as topics. One is by modifying the Dirichlet prior for...
Toward a Unified Framework for Standard and Update Multi-Document Summarization
Hongling Wang, Guodong Zhou
Article No.: 5
This article presents a unified framework for extracting standard and update summaries from a set of documents. In particular, a topic modeling approach is employed for salience determination and a dynamic modeling approach is proposed for...
Statistical Extraction and Comparison of Pivot Words for Bilingual Lexicon Extension
Daniel Andrade, Takuya Matsuzaki, Jun’ichi Tsujii
Article No.: 6
Bilingual dictionaries can be automatically extended by new translations using comparable corpora. The general idea is based on the assumption that similar words have similar contexts across languages. However, previous studies have mainly focused...
Integrating Generative and Discriminative Character-Based Models for Chinese Word Segmentation
Kun Wang, Chengqing Zong, Keh-Yih Su
Article No.: 7
Among statistical approaches to Chinese word segmentation, the word-based n-gram (generative) model and the character-based tagging (discriminative) model are two dominant approaches in the literature. The former gives...