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» Improving Language Models by Clustering Training Sentences
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ACL
2000
13 years 9 months ago
Headline Generation Based on Statistical Translation
Extractive summarization techniques cannot generate document summaries shorter than a single sentence, something that is often required. An ideal summarization system would unders...
Michele Banko, Vibhu O. Mittal, Michael J. Witbroc...
ACL
2010
13 years 5 months ago
Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data
One of the main obstacles to producing high quality joint models is the lack of jointly annotated data. Joint modeling of multiple natural language processing tasks outperforms si...
Jenny Rose Finkel, Christopher D. Manning
SIGIR
2004
ACM
14 years 1 months ago
Answer models for question answering passage retrieval
Answer patterns have been shown to improve the performance of open-domain factoid QA systems. Their use, however, requires either constructing the patterns manually or developing ...
Andrés Corrada-Emmanuel, W. Bruce Croft
INLG
2010
Springer
13 years 5 months ago
JU_CSE_GREC10: Named Entity Generation at GREC 2010
This paper presents the experiments carried out at Jadavpur University as part of the participation in the GREC Named Entity Generation Challenge 2010. The Baseline system is base...
Amitava Das, Tanik Saikh, Tapabrata Mondal, Sivaji...
EMNLP
2009
13 years 5 months ago
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie...