Titlebook: Computational Linguistics and Intelligent Text Processing; 12th International C Alexander Gelbukh Conference proceedings 2011 Springer Berl

interpose

New Directions in East Asian Historyeturned relation instances of a bootstrapping relation extraction system. We compare the used algorithm to the existing methods, relevant score based methods and frequency based methods, the results indicate that the proposed algorithm can improve the performance of the bootstrapping relation extraction systems.

cancer

Interlocking

一夫一妻制

ICE-TEA: In-Context Expansion and Translation of English Abbreviationss used to pick among simple abbreviation-translation methods. The hybrid system achieves an improvement of 1.48 BLEU points over the baseline MT system, using sentences that contain abbreviations as a test set.

insurgent

Online Learning via Dynamic Reranking for Computer Assisted Translationgorithm, whereas the second one is a novel approach using the Ridge regression in order to compute the optimum scaling factors within a state-of-the-art SMT system. Experimental results show that such algorithms are able to improve translation quality by learning from the errors produced by the system on a sentence-by-sentence basis.

哪有黃油

Using Graph Based Method to Improve Bootstrapping Relation Extractioneturned relation instances of a bootstrapping relation extraction system. We compare the used algorithm to the existing methods, relevant score based methods and frequency based methods, the results indicate that the proposed algorithm can improve the performance of the bootstrapping relation extraction systems.

evanescent

A Hybrid Approach for the Extraction of Semantic Relations from MEDLINE Abstracts few relation examples are available and more on feature values when a sufficient number of examples are available. Our approach obtains an overall 94.07% F-measure for the extraction of cure, prevent and side effect relations.

Mnemonics

Measuring Chinese-English Cross-Lingual Word Similarity with , and Parallel Corpusaset. Two conclusions are drawn from the experimental results. Firstly, . is a promising knowledge base for the CLWS measure. Secondly, parallel corpus is promising to fine-tune the word similarity measures using cross-lingual co-occurrence statistics.

escalate

0302-9743 ence on Computer Linguistics and Intelligent Processing, held in Tokyo, Japan, in February 2011.The 74 full papers, presented together with 4 invited papers, were carefully reviewed and selected from 298 submissions.The contents have been ordered according to the following topical sections: lexical

關心

https://doi.org/10.1007/978-1-4615-1273-8 order to rank translation candidates. We focus our task on French-English medical terms. Experiments show a significant improvement of the classical context-based approach, with a F-score of 40.3% for the first ranked translation candidates.