crosslingual latent topic extraction

Báo cáo khoa học: "Cross-Lingual Latent Topic Extraction" pot

Báo cáo khoa học: "Cross-Lingual Latent Topic Extraction" pot

... first data set, 1133 Table 5: Effectiveness of Latent Topic Extraction from Multi-Language Corpus Topic 0 Topic 1 Topic 2 Topic 3 Topic 4 Topic 5 Topic 6 Topic 7 cd(apple) battery(dell) mouse(dell) ... translation. An example graph for 1130 Table 1: Qualitative Evaluation Topic 0 Topic 1 Topic 2 Topic 3 Topic 4 Topic 5 Topic 6 Topic 7 Topic 8 Topic 9 (party) (crime) (athlete) (palestine) (collaboration) ... problem of cross- lingual latent topic extraction where the task is to extract a set of common latent topics from multi- lingual text data. We propose a novel probabilistic topic model (i.e. the...

Ngày tải lên: 23/03/2014, 16:20

10 270 0
Tài liệu Báo cáo khoa học: "Cross-Domain Co-Extraction of Sentiment and Topic Lexicons" pdf

Tài liệu Báo cáo khoa học: "Cross-Domain Co-Extraction of Sentiment and Topic Lexicons" pdf

... f T P for sentiment- and topic- word extraction with D S  D l T separately. Predict the sentiment score h T f O (w T j ) and topic score h T f P (w T j ) on D u T , and select k 2 sentiment words and topic words ... the topic lexicon extraction task, the topic words may be totally different, and as a result, we may not be able to find useful source domain labeled data to boost the performance for lexicon extraction ... for sentiment lexicon extraction. Table 3 shows the comparison results on topic lex- icon extraction. From the table, we can observe that different from the sentiment lexicon extraction task, the...

Ngày tải lên: 19/02/2014, 19:20

10 447 0
Tài liệu Báo cáo khoa học: "A Mobile Touchable Application for Online Topic Graph Extraction and Exploration of Web Content" ppt

Tài liệu Báo cáo khoa học: "A Mobile Touchable Application for Online Topic Graph Extraction and Exploration of Web Content" ppt

... this topic graph using a simple and intuitive touchable user interface in order to either learn more about the content of a topic or to interactively expand a topic with newly computed related topics. In ... as a specification of a topic that the user wants to know and learn more about. Hence, the search result is basi- cally a graphical structure of the topic and as- sociated topics that are found. 2. ... mobile touchable application for online topic graph extraction and exploration of web content. The system has been imple- mented for operation on an iPad. The topic graph is constructed from N web...

Ngày tải lên: 20/02/2014, 05:20

6 458 0
Báo cáo khoa học: "Structural, Transitive and Latent Models for Biographic Fact Extraction" pdf

Báo cáo khoa học: "Structural, Transitive and Latent Models for Biographic Fact Extraction" pdf

... Conclusion This paper has shown six successful novel ap- proaches to biographic fact extraction using struc- tural, transitive and latent properties of biographic data. We first showed an improvement to the ... 0.48 Occupation rel. posn 0.48 0.35 0.40 0.50 Occupation trans 0.49 0.46 0.47 0.50 Occupation latent 0.48 0.48 0.48 0.59 Occupation latentCL 0.48 0.48 0.48 0.54 Occupation combined 0.48 0.48 0.48 0.59 Nationality RH02 0.40 ... 0.81 Nationality rel. posn 0.73 0.72 0.71 0.78 Nationality trans 0.51 0.48 0.49 0.49 Nationality latent 0.56 0.56 0.56 0.56 Nationality latentCL 0.55 0.48 0.51 0.48 Nationality combined 0.75 0.75 0.75 0.81 Nationality comb+corr 0.77...

Ngày tải lên: 17/03/2014, 22:20

9 385 0
Writing Topic

Writing Topic

... Which would you choose to buy? Give specific reasons to explain your choice. Writing Topics (continued) 27 WRITING TOPICS Topics in the following list may appear in your actual test. You should become ... TOEFL test. Remember that when you take the test you will not have a choice of topics. You must write only on the topic that is assigned to you. People attend college or university for many different ... support or oppose this plan? Why? Use specific reasons and details in your answer. Writing Topics 29 WRITING TOPICS Should a city try to preserve its old, historic buildings or destroy them and replace...

Ngày tải lên: 04/10/2012, 09:39

6 1.6K 5
101 ielts speaking part two topic cards that tie in with ielts speaking part one

101 ielts speaking part two topic cards that tie in with ielts speaking part one

... future is unlikely to come up, this section is arranged with the topics which are most common in the Speaking Part One “future plans” topic nearest the top. Talk about one thing you are going ... jump. Luckily, the 6 to 8 most popular topics in IELTS Speaking Part One (e.g. Friends and Families) can also come up in Part Two (although the same topic is never used twice in the same test). ... presentations. It is not possible to say which topics are most likely to come up in the IELTS Speaking Test Part Two, but the most typical questions for each of the topics that are the same as IELTS Speaking...

Ngày tải lên: 04/10/2012, 11:45

25 2.7K 20
Automatic text extraction using DWT and Neural Network

Automatic text extraction using DWT and Neural Network

... dilation operators to obtain the real text regions. Keywords:Text extraction, DWT, Neural Network 1. Introduction Text extraction plays an important role in static images and video sequences ... appear in a cluttered background. These are the reasons make text extraction a challenging task. Many papers concerning extraction of texts from static images or video sequences have been ... images or compressed images. Text extraction from uncompressed image can be classified as either component-based or texture-based. For component-based text extraction methods, text regions...

Ngày tải lên: 05/11/2012, 14:51

5 508 1
Text extraction from name cards using neural network

Text extraction from name cards using neural network

... Text Extraction from Name Cards Using Neural Network Lin Lin School of Computing National University ... 117543 +65-6874-2900 tancl@comp.nus.edu.sg Abstract This paper addresses the problem of text extraction from name card images with fanciful design containing various graphical foreground and ... address the above issues, we first surveyed the literature to find any existing methods for text extraction from complex background for our name card scanner. The more straightforward approaches...

Ngày tải lên: 05/11/2012, 14:54

6 564 3
TOPIC SPEAKING 10

TOPIC SPEAKING 10

... Topic 11: Topic 11: The differences between your own life-style and that of your parents are interesting. ... However, we understand and sympathize each other. I think my parents are the best in my minds. Topic 12: Topic 12: What can be done to improve the quality of public transport in our city/town? Nowadays, ... possible, we should encourage people to transport by public bus. It’s convenient and safe. Topic 13: Topic 13: What do you think of the newly-built office buildings in the city? Nowadays, in the...

Ngày tải lên: 29/08/2013, 11:10

5 1.9K 29
TOPIC SPEAKING A

TOPIC SPEAKING A

Ngày tải lên: 29/08/2013, 11:10

1 6.3K 141
Energy and exergy analysis of particle dispersed latent heat storage system

Energy and exergy analysis of particle dispersed latent heat storage system

... approach to energy and exergy analyses of latent heat storage unit. Heat Trans. Eng. 2009, 49, 506-525. [15] Watanabe T., Kanzawa A. Second law optimization of a latent heat storage system with PCMs ... journal an d conference papers concerning latent heat thermal storage systems. His research mainly focuses on performance enhancement and exergy analysis of latent heat thermal storage systems. Mr.Jegadheeswaran is ... Thermal conductivity enhancement in a latent heat storage system. Sol. Energy 2007, 81, 839-845. [9] Jegadheeswaran S., Pohekar S.D. Performance enhancement in latent heat thermal storage system:...

Ngày tải lên: 05/09/2013, 16:10

14 510 1
topic

topic

Ngày tải lên: 06/09/2013, 07:10

4 418 10

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