risk mining from text
Báo cáo khoa học: "Hunting for the Black Swan: Risk Mining from Text" doc
... risks and patterns. Risks are connected viaIS-A links; risks and patterns are connected viaPATTERN links. Note that there are links from risks to patterns and from patterns to risks; somerisks ... financial riskscredit IS-A financial risksdirect risks IS-A financial risksfraud IS-A financial risksirregular activity IS-A operational risksprocess failure IS-A operational riskshuman ... AlertingNotification Risk Taxonomy Risk Mining for Risk IdentificationInformation Extractionfor Risk MonitoringFigure 2: The risk mining and monitoring systemarchitectureThe second part of the system, the Risk Mon-itor,...
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Epilogue - from text to work
... surprising here, given the claim in this book that the sixteenth-centuryEpilogue: from text to work? 1335 Epilogue: from text to work?I have tried in this book to offer a more skeptical account of ... pleasurein the text is sometimes seen as merely (false) affect or as academic waste-fulness, its re-emergence displacing hoped-for political work, we also knowEpilogue: from text to work? 131basis ... literary texts will provide the profession with animportant rationale for its defense and extension, including into projectsassociated with cultural studies.7To invoke a literary text s distinctive...
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Tài liệu Báo cáo khoa học: "Extracting Comparative Entities and Predicates from Texts Using Comparative Type Classification" pptx
... non-comparatives by extracting only comparatives from text documents. Then we classify the comparatives into seven types. 3.1 Extracting comparative sentences from text documents Our strategy is to first ... Opinion Mining of Customer Feedback Data on the Web. In Proceedings of ICUIMC’08, 247-252. Shasha Li, Chin-Yew Lin, Young-In Song and Zhoujun Li. 2010. Comparable Entity Mining from Comparative ... world, our study can contribute greatly to text mining research. In our future work, we have the following plans. Our first plan is to complete the mining process on all the types of sentences....
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Tài liệu Báo cáo khoa học: "Knowledge Acquisition from Texts : Using an Automatic Clustering Method Based on Noun-Modifier Relationship" pptx
... context". The four syntactic links of LEXTER Can be used to define this terminological context. For in- stance, the "expansion terminological context" (E- terminological context) ... definition of the context is original compared to the classical context definitions used in Informa- tion Retrieval, where the context of a lexical unit is obtained by examining its neighbours ... NPs are described by their E- terminological context; in the second one, both the E-terminological context and the H'- terminological context (obtained with the H'-link within PUs)...
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Báo cáo khoa học: "A Practical Solution to the Problem of Automatic Part-of-Speech Induction from Text" pdf
... way. Whereas in other studies the reduction has typically been from several ten thou-sand to a few hundred, our reduction is from sev-eral ten thousand to only three. This leads to a very ... ACL (Companion Volume), Barcelona, 195-198. Schütze, Hinrich (1993). Part-of-speech induction from scratch. Proceedings of ACL, Columbus, 251-258. 0.8 0.4 0.0 1.0 ... inappropriate value characteristic that prevents the SVD, which is conducted in the next step, from finding optimal dimensions.3 The purpose of the SVD is to reduce the number of columns...
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Báo cáo khoa học: "Automatic construction of a hypernym-labeled noun hierarchy from text" docx
... are learned from the Wall Street Journal, they are domain-specific labels rather than the more general "thing/person". However, if the hierarchy were to be used for text from the ... Zs" (patterns 3 and 4 in Hearst). From this phrase we can extract that Z is likely a hypernym for both X and Y. This data is extracted from the parsed text, and for each noun we construct ... (Fellbaum, 1998) automat- ically from text using no other lexical re- sources. WordNet has been an important re- search tool, but it is insufficient for domain- specific text, such as that encountered...
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Báo cáo khoa học: "PREDICTING INTONATIONAL PHRASING FROM TEXT" potx
... total # words in utterance distance (sec.) from start to wj distance (sec.) from wj to end distance (words) from start to wj distance (words) from wj to end is wi accented or not/ or, cliticized, ... PHRASING FROM TEXT Michelle Q. Wang Churchill College Cambridge University Cambridge UK Julia Hirschberg AT&T Bell Laboratories 600 Mountain Avenue Murray Hill, NJ 07974 Abstract Determining ... utterance and other features inferable from its text is important both for speech recognition and for speech synthesis. This work investigates the use of text analysis in predicting the location...
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Báo cáo khoa học: " The Development of Lexical Resources for Information Extraction from Text Combining Word Net and Dewey Decimal Classification" potx
... the progressive reduction of the size of training corpora: e.g., from the 1,000 texts of the MUC-5 (MUC-5, 1993) to the 100 texts in MUC-6 (MUC-6, 1995). When the cor- pus size is limited, ... tlenecks in the development of new ap- plications in the field of Information Ex- traction from text. Generic resources (e.g., lexical databases) are promising for reducing the cost of specific ... Proceedings of EACL '99 The Development of Lexical Resources for Information Extraction from Text Combining WordNet and Dewey Decimal Classification* Gabriela Cavagli~t ITC-irst Centro...
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How and Why Do Small Firms Manage Interest Rate Risk? Evidence from Commercial Loans pot
... 0.049(0.021)** (0.039) Risk rating - relative to rating = 3 (average risk) : =1 (lowest risk) 0.100 0.093(0.043)** (0.065) =2 (low risk) 0.007 -0.012(0.020) (0.062) =4 (high risk) -0.011 -0.090(0.020) ... production) to manage exchange rate risk. Petersen and Thiagarajan (2000) study two gold mining firms who achieve a similar reduction in exposure to gold price risk, one using derivatives, the ... below. Contents of the cell are p-values from hypothesis test that the coefficients on the new interaction variable(s) are equal to zero. 33smooth risk once borne by firms or households....
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Báo cáo khoa học: "Learning High-Level Planning from Text" pot
... of our setupis the way the textual information is utilized in thesituated context. Instead of getting step-by-step in-structions from the text, our model uses text that de-scribes general ... preconditions from text. However, our only source of supervisionis the feedback provided by the planning task whichutilizes the predictions. Additionally, we not onlyidentify these relations in text, ... Competition. http://ipc.informatik.uni-freiburg.de/1270% 20% 40% 60% 80% 100%No text All text Full modelManual text GoldEasyHard71%64%59%48%31%88%89%91%94%95%Figure 6: Percentage...
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Báo cáo khoa học: "acquiring and structuring semantic information from text" pdf
... information from natural language text. This paper provides an overview of the distinguishing characteristics of MindNet, the steps involved in its creation, and its extension beyond dictionary text. ... senses (e.g., Baseball). In processing normal input text outside of the context of MindNet creation, WSD relies crucially on information from MindNet about how word senses are linked to one ... MindNet: acquiring and structuring semantic information from text Stephen D. Richardson, William B. Dolan, Lucy Vanderwende Microsoft Research One Microsoft...
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Báo cáo khoa học: "Person Identification from Text and Speech Genre Samples" ppt
... of the text genre. The best score was 29% for essays. 5.6 Predict Authorship in a Textual Genre Given Information on Other Textual Genres Table 12 shows the results of training on text data ... Au-dience Email yes no text yes ad-dressee Essay No no text no unspec Inter-view No no speech yes inter-viewer Blog yes yes text no world Chat yes yes text yes group Dis-cussion ... correlated corpus of text and audio samples of the person’s communication in six genres. The text samples include essays, emails, blogs, and chat. Audio samples were collected from individual...
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Bank Funding Structures and Risk: Evidence from the Global Financial Crisis pptx
... Bank Funding Structures and Risk: Evidence from the Global Financial Crisis Francisco Vazquez and Pablo Federico WP/12/2925 ... Also, the two measures of bank capital seem to convey similar information, despite gaps stemming from risk weights. It is worth noting that the correlation between bank capital and credit growth ... the NSFR follows a declining trend in the pre-crisis period, which reverts from 2007 for the Domestic banks, and from 2008 for the Global banks. In the latter group, there is a sudden drop...
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Báo cáo khoa học: "Comparable Entity Mining from Comparative Questions" pptx
... IEEE Internet Computing, pages 76-80. Raymond J. Mooney and Razvan Bunescu. 2005. Mining knowledge from text using information ex-traction. ACM SIGKDD Exploration Newsletter, 7(1):3–10. Dragomir ... comparative question identification and compa-rator mining from questions. However, their me-thods typically can achieve high precision but suffer from low recall (Jindal and Liu, 2006b) (J&L). ... “What‟s the difference between iPod Touch and Zune HD?” The goal of this work is mining comparators from comparative questions. The results would be very useful in helping users‟ exploration...
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Báo cáo khoa học: "Unsupervised Discovery of Domain-Specific Knowledge from Text" pptx
... knowledge from unlabeled text. Unlikeprevious approaches, we use automatically ex-tracted classes with a probability distributionover entities to allow for context-sensitive la-beling. From a ... knowledge, the text will not make sense to thereader, despite being well-formed English. Luckily,the information is often implicitly contained in thedocument or can be inferred from similar texts.Our ... given context, we have hierarchicalclasses: an entity can be correctly labeled as a playeror a quarterback (and possibly many more classes),depending on the context. By taking context intoaccount,...
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- knowledge acquisition from texts
- information extraction from text combining word net
- hypernymlabeled noun hierarchy from text
- semantic information from text
- social network extraction from texts
- domainspecific knowledge from text
- unsupervised ontology induction from text
- extracting comparative entities and predicates from texts using comparative type classification
- knowledge acquisition from text
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