Multilingual Text Analysis: Challenges, Models and Approaches
Material type:
- 9789813274877
- 401.41 MUL
Item type | Current library | Item location | Collection | Call number | Status | Date due | Barcode | Item holds | |
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NIMA Knowledge Centre | 7th Floor Silence Zone | Reference | 401.41 MUL (Browse shelf(Opens below)) | Not For Loan | M0036340 |
1. Multilingual Text Analysis: History, Tasks, and Challenges
2. Using a Polytope Model for Unsupervised Document Summarization
3. MDL Approach for Unsupervised Multilingual Document Summarization
4. Rich Feature Spaces and Regression Models in Single-Document Extractive Summarization
5. Hierarchical Topic Model and Summarization
6. A Survey of Neural Models for Abstractive Summarization
7. Headline Generation as a Sequence Prediction with Conditional Random Fields
8. Crowdsourcing in Single-document Summary Evaluation: The Argo Way
9. Multilingual Summarization and Evaluation Using Wikipedia Featured Articles
10. Are Better Summaries Also Easier to Understand? Analyzing Text Complexity in Automatic Summarization
11. Twitter Event Detection, Analysis, and Summarization
12. Linguistic Bias in Crowdsourced Biographies: A Cross-lingual Examination
13. Multilingual Financial Narrative Processing: Analyzing Annual Reports in English, Spanish,
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