risk mining from text

Báo cáo khoa học: "Hunting for the Black Swan: Risk Mining from Text" doc

Ngày tải lên : 17/03/2014, 00:20

... risks and patterns. Risks are connected via IS-A links; risks and patterns are connected via PATTERN links. Note that there are links from risks to patterns and from patterns to risks; some risks ... financial risks credit IS-A financial risks direct risks IS-A financial risks fraud IS-A financial risks irregular activity IS-A operational risks process failure IS-A operational risks human ... Alerting Notiﬁcation Risk Taxonomy Risk Mining for Risk Identiﬁcation Information Extraction for Risk Monitoring Figure 2: The risk mining and monitoring system architecture The second part of the system, the Risk Mon- itor,...

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Báo cáo khoa học: "Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web" pdf

Ngày tải lên : 23/03/2014, 16:21

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Epilogue - from text to work

Ngày tải lên : 01/11/2013, 08:20

... surprising here, given the claim in this book that the sixteenth-century Epilogue: from text to work? 133 5 Epilogue: from text to work? I have tried in this book to oﬀer a more skeptical account of ... pleasure in the text is sometimes seen as merely (false) aﬀect or as academic waste- fulness, its re-emergence displacing hoped-for political work, we also know Epilogue: from text to work? 131 basis ... literary texts will provide the profession with an important rationale for its defense and extension, including into projects associated with cultural studies. 7 To 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

Ngày tải lên : 20/02/2014, 04:20

... 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

Ngày tải lên : 22/02/2014, 03:20

... 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

Ngày tải lên : 08/03/2014, 04:22

... way. Whereas in other studies the reduction has typically been from several ten thousand to a few hundred, our reduction is from several 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

Ngày tải lên : 08/03/2014, 06:20

... 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) automatically from text using no other lexical resources. WordNet has been an important research 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

Ngày tải lên : 08/03/2014, 07:20

... 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

Ngày tải lên : 08/03/2014, 21:20

... 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 corpus 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

Ngày tải lên : 15/03/2014, 10:20

... 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. 33 smooth risk once borne by firms or households....

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Báo cáo khoa học: "Learning High-Level Planning from Text" pot

Ngày tải lên : 16/03/2014, 19:20

... of our setup is the way the textual information is utilized in the situated 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 supervision is the feedback provided by the planning task which utilizes the predictions. Additionally, we not only identify these relations in text, ... Competition. http://ipc.informatik.uni-freiburg.de/ 127 0% 20% 40% 60% 80% 100% No text All text Full model Manual text Gold Easy Hard 71% 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

Ngày tải lên : 17/03/2014, 07:20

... 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

Ngày tải lên : 17/03/2014, 22:20

... 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

Ngày tải lên : 22/03/2014, 21:20

... Bank Funding Structures and Risk: Evidence from the Global Financial Crisis Francisco Vazquez and Pablo Federico WP/12/29 25 ... 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

Ngày tải lên : 23/03/2014, 16:20

... IEEE Internet Computing, pages 76-80. Raymond J. Mooney and Razvan Bunescu. 2005. Mining knowledge from text using information extraction. 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

Ngày tải lên : 23/03/2014, 16:20

... knowledge from unlabeled text. Unlike previous approaches, we use automatically extracted classes with a probability distribution over entities to allow for context-sensitive la- beling. From a ... knowledge, the text will not make sense to the reader, despite being well-formed English. Luckily, the information is often implicitly contained in the document or can be inferred from similar texts. Our ... given context, we have hierarchical classes: an entity can be correctly labeled as a player or a quarterback (and possibly many more classes), depending on the context. By taking context into account,...