[PDF] Top 20 Using Bilingual Information for Cross Language Document Summarization
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Using Bilingual Information for Cross Language Document Summarization
... We used the ROUGE-1.5.5 (Lin and Hovy, 2003) toolkit for evaluation, which has been widely adopted by DUC and TAC for automatic summarization evaluation. It measured summary quality by counting overlapping units ... See full document
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Finding Good Enough: A Task Based Evaluation of Query Biased Summarization for Cross Language Information Retrieval
... a summarization strategy would not be particu- larly helpful in our relevance prediction task be- cause the words in the text could be mixed-up, or sentences could be nonsensical, resulting in poor ... See full document
13
Using Term Position Similarity and Language Modeling for Bilingual Document Alignment
... on document metadata (e.g. the similarity of document URLs or language tags within URLs), some emphasize more the actual content of the ...on document alignment by counting word co-occurrences ... See full document
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A Generative Approach for Multi Document Summarization using Semantic Discursive information
... MDS using the Noisy- Channel model, semantic-discursive information provided by CST and some other superficial features such as sentence ...rhetorical information as another way to explore ... See full document
5
From Bilingual Dictionaries to Interlingual Document Representations
... the language bar- rier of a cross-lingual ...manner using only a bilingual dictionary. We first use the bilingual dictionary to find candi- date document alignments and then use ... See full document
6
Cross Language Text Categorization Using a Bilingual Lexicon
... the language in multilingual sce- nario has attracted more and more attention (Bel et ...as cross language text categoriza- ...one language to other languages without additional intervention ... See full document
8
A Language Independent Algorithm for Single and Multiple Document Summarization
... Intuitively, iterative graph-based ranking algo- rithms work well on the task of extractive summa- rization because they do not only rely on the local context of a text unit (vertex), but they rather take into account ... See full document
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Information Retrieval and Context Based Document Summarization Using Vector Space Model
... Text summarization is the process of automatically creating a compressed version of a given document preserving its information ...Automatic document summarization is an important ... See full document
8
Phrase based Compressive Cross Language Summarization
... multi- document summarization ...extractive summarization are trained by multi- task learning ...formulate document summarization tasks as opti- mization problems and use their ... See full document
10
Cross Document, Cross Language Event Coreference Annotation Using Event Hoppers
... emphasize cross-document and cross-lingual ...temporal information (Aguilar et ...the document are labeled for coreference, utilizing the notion of event ... See full document
6
Using KCCA for Japanese English cross language information retrieval and classification
... Table 6 shows the results for six topics, Topic 01, 02, 03, 07, 12 and 14 in the NT- CIR collection. It also lists the numbers of relevant and irrelevant documents for each topic. These topics were selected such that ... See full document
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Scalable Multi-document Summarization Using Natural Language Processing
... sentences. Using different segmentation methods will affect the nature of matrix, ...“run”. Using Lucene API, words and sentences are filtered to match pre-defined ...sentence. Information related to ... See full document
58
Towards Understanding Theoretical Developments in Natural Language Processing
... of summarization is to differentiate between the more informative or important parts of the document and the less ...important information in the original text(s), and that is no longer than half of ... See full document
5
Cross Language Document Summarization Based on Machine Translation Quality Prediction
... 2.1 Machine Translation Quality Prediction Machine translation evaluation aims to assess the correctness and quality of the translation. Usu- ally, the human reference translation is provided, and various methods and ... See full document
10
MultiLing 2015: Multilingual Summarization of Single and Multi Documents, On line Fora, and Call center Conversations
... phone. This task is different from news summa- rization in that dialogues need to be analysed in a deeper manner in order to recover the problem being addressed and how it is solved, and convert spontaneous utterances to ... See full document
5
Exploiting Category Specific Information for Multi Document Summarization
... text summarization including multi-document summarization (Radev et ...focused summarization (Daumé III and Marcu, 2006), personalized summarization (Díaz and Gervás, 2007), temporal ... See full document
16
Improving Abstractive Document Summarization with Salient Information Modeling
... F1 scores over all of the other baselines (reported in their own articles) and two extensions we pro- posed both improve the performances based on the basic model. Concretely, we design the focus- attention mechanism to ... See full document
10
DETECTING MOTION BY COMBINING THE STRUCTURE TEXTURE IMAGE DECOMPOSITION AND SPACE TIME INTEREST POINTS
... In general, the text generated by users can contain facts as well as opinions. Facts are objective expressions about entities, events and their attributes, e.g. ”I bought Sony camera yesterday” whereas opinions are ... See full document
11
Fear vs Hope: Do Discrete Emotions Mediate Message Frame Effectiveness In Genetic Cancer Screening Appeals
... hypersphere. To evaluate the model’s distinguishability, 100 depression literatures are used as testing data. The results in the Figure 3A is that 17 of 100 abstracts are not recognized by the model. The accuracy is 83%. ... See full document
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Multi-Document Summarization by Capturing the Information Users are Interested in
... We use ROUGE (Lin, 2004) to assess the auto- matic summaries in comparison to the human writ- ten ones available in the image captioning cor- pus. ROUGE is a well-known evaluation method for summarization which is ... See full document
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