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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 41 – 48 of 48 41 HITIQA: Towards Analytical Question Answering Small, Sharon; Strzalkowski, Tomek; Liu, Ting... In: DTIC (2004) BASE Show details 42 HITIQA: An Interactive Question Answering System. A Preliminary Report Small, Sharon; Liu, Ting; Shimizu, Nobuyuki... In: DTIC (2003) BASE Show details 43 Context-Dependent Lexical Paraphrasing Based on Web Mining Zhao Shi-qi; Zhang Yu; Zhao Lin... In: http://ir.hit.edu.cn/~zhaosq/paper/JOSc.pdf BASE Show details 44 Paraphrase Collocation Extraction based on Binary Classification * Zhao Shi-qi; Zhao Lin; Liu Ting... In: http://ir.hit.edu.cn/~zhaosq/paper/JOSa.pdf BASE Show details 45 Iterative Feedback Based Manifold-Ranking for Update Summary He Ruifang; Qin Bing; Liu Ting... In: http://www.gelbukh.com/polibits/37_01.pdf BASE Show details 46 Integrating Intra- and Inter-document Evidences for Improving Sentence Sentiment Classification Zhao Yan-yan; Qin Bing; Liu Ting In: http://210.29.99.10/ztnews/upfiles/edit/201010/20101020183711.pdf?origin%3Dpublication_detail BASE Show details 47 Semantic Role Labeling with Maximum Entropy Classifier Liu Ting; Che Wan-xiang; Li Sheng In: http://ir.hit.edu.cn/~car/papers/me4srl-jos.pdf BASE Show details 48 Aligning Bilingual Corpora Using Sentences Location Information* Li Weigang; Liu Ting; Wang Zhen; Li Sheng In: http://wing.comp.nus.edu.sg/~antho/W/W04/W04-1121.pdf Abstract: Large amounts of bilingual resource on the Internet provide us with the probability of building a large scale of bilingual corpus. The irregular characteris-tics of the real texts, especially without the strictly aligned paragraph boundaries, bring a challenge to alignment technology. The traditional alignment methods have some difficulties in competency for doing this. This paper describes a new method for aligning real bilingual texts using sentence pair location information. The model was motivated by the observation that the location of a sentence pair with certain length is distributed in the whole text similarly. It uses (1:1) sentence beads instead of high frequency words as the candidate anchors. The method was developed and evaluated through many different test data. The results show that it can achieve good aligned performance and be ro-bust and language independent. It can resolve the alignment problem on real bilingual text. 1 URL: http://wing.comp.nus.edu.sg/~antho/W/W04/W04-1121.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.470.8673 BASE Hide details Page: 1 2 3

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