http://profitabletradingtips.com/profitable-trading-tips/are-german-bonds-safe
Are German Bonds Safe?
In response to chaotic and falling stock markets many investors are searching for safe havens for their money. In an article by reuters about global stocks there is an interesting note. Investors are buying national debt, Swiss franc, United States, Japanese and German bonds.
nervous investors put more money into low-risk yen, swiss franc, gold, u.s. and german government debt as they await more clues whether the federal reserve and other central banks would provide support to stabilize markets that have been roiled partly due to worries about weakening economic growth in china.
Is this a good strategy? Are Japanese, Swiss, U. S. or German bonds safe? When purchasing national debt one is betting on interest rates and on the relative value of a given currency versus other currencies. If you are going to convert U.S. dollars to Euros in order to buy German debt you want to know the rate of return you will get on your bonds and how well or poorly the Euro will do versus the U.S. dollar.
Euro versus Dollar
According to exchangerates.org.uk there is a downside risk to the Euro.
a strong downside euro trend continues today, after ecb president draghi stated that monetary policy “may need to be reviewed” in the next meeting (march 2016).
exchange rate analysts at lloyds commented on the euro vs dollar exchange rate outlook in the near-term:
“eurusd declined toward the bottom of its range, having printed a low of 1.0778, although it has now retraced some of this move.”
http://profitabletradingtips.com/profitable-trading-tips/are-german-bonds-safe
Are German Bonds Safe?
In response to chaotic and falling stock markets many investors are searching for safe havens for their money. In an article by reuters about global stocks there is an interesting note. Investors are buying national debt, Swiss franc, United States, Japanese and German bonds.
nervous investors put more money into low-risk yen, swiss franc, gold, u.s. and german government debt as they await more clues whether the federal reserve and other central banks would provide support to stabilize markets that have been roiled partly due to worries about weakening economic growth in china.
Is this a good strategy? Are Japanese, Swiss, U. S. or German bonds safe? When purchasing national debt one is betting on interest rates and on the relative value of a given currency versus other currencies. If you are going to convert U.S. dollars to Euros in order to buy German debt you want to know the rate of return you will get on your bonds and how well or poorly the Euro will do versus the U.S. dollar.
Euro versus Dollar
According to exchangerates.org.uk there is a downside risk to the Euro.
a strong downside euro trend continues today, after ecb president draghi stated that monetary policy “may need to be reviewed” in the next meeting (march 2016).
exchange rate analysts at lloyds commented on the euro vs dollar exchange rate outlook in the near-term:
“eurusd declined toward the bottom of its range, having printed a low of 1.0778, although it has now retraced some of this move.”
International Tourism Introduce Taiwan to You!Lola Lin
Taiwan is a beautiful island where you should plan a visit in your lifetime! Grace and I introduced Taiwan to our classmates in International Tourism class in 2011. We enjoyed sharing our culture, geography, economy, and people with everyone!
T EXT M INING AND C LASSIFICATION OF P RODUCT R EVIEWS U SING S TRUCTURED S U...csandit
Text mining and Text classification are the two pro
minent and challenging tasks in the field of
Machine learning. Text mining refers to the process
of deriving high quality and relevant
information from text, while Text classification de
als with the categorization of text documents
into different classes. The real challenge in these
areas is to address the problems like handling
large text corpora, similarity of words in text doc
uments, and association of text documents with
a subset of class categories. The feature extractio
n and classification of such text documents
require an efficient machine learning algorithm whi
ch performs automatic text classification.
This paper describes the classification of product
review documents as a multi-label
classification scenario and addresses the problem u
sing Structured Support Vector Machine.
The work also explains the flexibility and performan
ce of the proposed approach for e
fficient text classification.
"Bilingual Terminology Extraction from TMX. A state-of-the-art overview." Presentation at Translating Europe Forum 2016. Focus on translation technology.
AN AI PLANNING APPROACH FOR GENERATING BIG DATA WORKFLOWSgerogepatton
The scale of big data causes the compositions of extract-transform-load (ETL) workflows to grow increasingly complex. With the turnaround time for delivering solutions becoming a greater emphasis, stakeholders cannot continue to afford to wait the hundreds of hours it takes for domain experts to manually compose a workflow solution. This paper describes a novel AI planning approach that facilitates rapid composition and maintenance of ETL workflows. The workflow engine is evaluated on real-world scenarios from an industrial partner and results gathered from a prototype are reported to demonstrate the validity of the approach.
The scale of big data causes the compositions of extract-transform-load (ETL) workflows to grow increasingly complex. With the turnaround time for delivering solutions becoming a greater emphasis,
stakeholders cannot continue to afford to wait the hundreds of hours it takes for domain experts to manually compose a workflow solution. This paper describes a novel AI planning approach that facilitates rapid composition and maintenance of ETL workflows. The workflow engine is evaluated on real-world
scenarios from an industrial partner and results gathered from a prototype are reported to demonstrate the validity of the approach.
International Tourism Introduce Taiwan to You!Lola Lin
Taiwan is a beautiful island where you should plan a visit in your lifetime! Grace and I introduced Taiwan to our classmates in International Tourism class in 2011. We enjoyed sharing our culture, geography, economy, and people with everyone!
T EXT M INING AND C LASSIFICATION OF P RODUCT R EVIEWS U SING S TRUCTURED S U...csandit
Text mining and Text classification are the two pro
minent and challenging tasks in the field of
Machine learning. Text mining refers to the process
of deriving high quality and relevant
information from text, while Text classification de
als with the categorization of text documents
into different classes. The real challenge in these
areas is to address the problems like handling
large text corpora, similarity of words in text doc
uments, and association of text documents with
a subset of class categories. The feature extractio
n and classification of such text documents
require an efficient machine learning algorithm whi
ch performs automatic text classification.
This paper describes the classification of product
review documents as a multi-label
classification scenario and addresses the problem u
sing Structured Support Vector Machine.
The work also explains the flexibility and performan
ce of the proposed approach for e
fficient text classification.
"Bilingual Terminology Extraction from TMX. A state-of-the-art overview." Presentation at Translating Europe Forum 2016. Focus on translation technology.
AN AI PLANNING APPROACH FOR GENERATING BIG DATA WORKFLOWSgerogepatton
The scale of big data causes the compositions of extract-transform-load (ETL) workflows to grow increasingly complex. With the turnaround time for delivering solutions becoming a greater emphasis, stakeholders cannot continue to afford to wait the hundreds of hours it takes for domain experts to manually compose a workflow solution. This paper describes a novel AI planning approach that facilitates rapid composition and maintenance of ETL workflows. The workflow engine is evaluated on real-world scenarios from an industrial partner and results gathered from a prototype are reported to demonstrate the validity of the approach.
The scale of big data causes the compositions of extract-transform-load (ETL) workflows to grow increasingly complex. With the turnaround time for delivering solutions becoming a greater emphasis,
stakeholders cannot continue to afford to wait the hundreds of hours it takes for domain experts to manually compose a workflow solution. This paper describes a novel AI planning approach that facilitates rapid composition and maintenance of ETL workflows. The workflow engine is evaluated on real-world
scenarios from an industrial partner and results gathered from a prototype are reported to demonstrate the validity of the approach.
TensorFlow Extension (TFX) and Apache Beammarkgrover
Talk on TFX and Beam by Robert Crowe, developer advocate at Google, focussed on TensorFlow.
Learn how the TensorFlow Extended (TFX) project is utilizing Apache Beam to simplify pre- and post-processing for ML pipelines. TFX provides a framework for managing all of necessary pieces of a real-world machine learning project beyond simply training and utilizing models. Robert will provide an overview of TFX, and talk in a little more detail about the pieces of the framework (tf.Transform and tf.ModelAnalysis) which are powered by Apache Beam.
ANEA: Automated (Named) Entity Annotation for German Domain-Specific TextsAnastasia Zhukova
Authors: Anastasia Zhukova, Felix Hamborg, Bela Gipp
Publication date: 2021/9/30
In Proceedings of the 2nd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE 2021) co-located with JCDL 2021
Abstract: Named entity recognition (NER) is an important task that aims to resolve universal categories of named entities, e.g., persons, locations, organizations, and times. Despite its common and viable use in many use cases, NER is barely applicable in domains where general categories are suboptimal, such as engineering or medicine. To facilitate NER of domain-specific types, we propose ANEA, an automated (named) entity annotator to assist human annotators in creating domain-specific NER corpora for German text collections when given a set of domain-specific texts. In our evaluation, we find that ANEA automatically identifies terms that best represent the texts' content, identifies groups of coherent terms, and extracts and assigns descriptive labels to these groups, i.e., annotates text datasets into the domain (named) entities.
PDF: https://ceur-ws.org/Vol-3004/paper1.pdf
MT SUMMIT PPT: Language-independent Model for Machine Translation Evaluation ...Lifeng (Aaron) Han
Presentation PPT in MT SUMMIT 2013.
Language-independent Model for Machine Translation Evaluation with Reinforced Factors
International Association for Machine Translation2013
Authors: Aaron Li-Feng Han, Derek Wong, Lidia S. Chao, Yervant Ho, Yi Lu, Anson Xing, Samuel Zeng
Proceedings of the 14th biennial International Conference of Machine Translation Summit (MT Summit 2013). Nice, France. 2 - 6 September 2013. Open tool https://github.com/aaronlifenghan/aaron-project-hlepor (Machine Translation Archive)
1. AAT-Taiwan System Initiative and Progress Chingju(Eliza) Cheng Arthur Chen, Edison Chung, Sophy Chen, Yen-hung Lin, Diane Wu TELDAP Project Office, Metadata Team (division 2), Expansion Project (division 1), International Collaboration (division 8)
2.
3.
4. The role of the AAT-Taiwan System – Management perspective Translation 翻譯 (T) Equivalence Mapping 等同關係對照 (M) Scope Note 範圍註 (N) Expert Group 專家審訂 (E) Project workflow AAT Taiwan
22. The role of the AAT-Taiwan System – Management perspective Translation 翻譯 (T) Equivalence Mapping 等同關係對照 (M) Expert Group 專家審訂 (E) Scope Note of New Concept 範圍註撰寫 (N)
23. Scope Note of New Concept (N) Cross-Division Coordination 跨分項協調 (C) 範圍註撰寫 Scope note of new concept (N) 搜集資料 (N1) Data Collection 撰寫範圍註 (N2) Create a new record with required fields 遵循 Getty 和 TELDAP 的指引 Follow editorial guideline to create a record in Chinese 參考權威資料 Authoritative References 增加相關圖檔 ( N 3) Find images Equivalence Mapping 等同關係對照 (M) Expert Group 專家審訂 (E) Translation 翻譯 (T) 中翻英 (T2_CE) Chinese to English Translation System Development 系統開發 (S) 著錄翻譯內容、圖片、參考書目 Input data into the system 校訂 (T3) Proofread 內容審訂 (E2) Content Verification 部分等同 (M3_PE) Partial Equivalence review approved Data Including: Translation | Image | Reference
24. The role of the AAT-Taiwan System – Management perspective Translation 翻譯 (T) Equivalence Mapping 等同關係對照 (M) Scope Note 範圍註 (N) Expert Group 專家審訂 (E) TELDAP Note
25. Expert Group (E) Cross-Division Coordination 跨分項協調 (C) 專家審訂 Expert Group (E) 前置作業 (E1) Preparation Translation 翻譯 (T) 內容準確性 (T3_A) Translation Accuracy 1 確認內容 (E1_I) Identify Content 審訂表整理更新 (E1_F) File compilation and update 內容審訂 (E2) Content Verification Content experts need to verify the accuracy of the provided terms. If they determine it’s accurate, then the data will be inputted into the system; if not, revision is needed before the data can be submitted to AAT and AAT-Taiwan. Scope Note 範圍註 (N) 完成新增中文詞彙所有的欄位資料 (N3) Create a new record with required fields 專家修訂 (E2_RE) Revision by Expert 範圍註準確性 (E2_NA) Scope Note Accuracy 翻譯準確性 (E2_TA) Translation Accuracy System Development 系統開發 (S) 著錄翻譯內容、圖片、參考書目 Input data into the system (a) approved review (b) reject
26. The role of the AAT-Taiwan System – Management perspective Translation 翻譯 (T) Equivalence Mapping 等同關係對照 (M) Scope Note 範圍註 (N) Expert Group 專家審訂 (E) Status: Edit| Translation A| Translation B| First Check |Expert Check Status
27. The role of the AAT-Taiwan System – Management perspective 1.The statistics of different Status: 2.Total: 5957 records, 2009-09-09 3. Image Records: 425 4. Total: 1300 Images
28.
29. Technical perspective TELDAP Getty AAT Duplication of Getty AAT AAT-Taiwan (2) Mirror 1.Chinese translation of Subject Term, and Notes. 2. Add TELDAP digital photos. 3.Cataloging (1) (3) Subject ID-based Link JSP-based keyword query on TELDAP UC JSP-based keyword query on MuseFusion JSP-based keyword query on AAT TWN JSP-based keyword query on TELDAP UC Copy into
30.
31. User perspective (1) User selects a Term in AAT-Taiwan by query or browse (3) Use a Term in AAT-Taiwan to retrieve records of MCN Taiwan MuseFusion (5) Use a Term in AAT-Taiwan to retrieve records of TELDAP UC (2) Use Subject ID to retrieve equivalent English AAT Term (4) Use the same Term to retrieve records of TELDAP UC
40. User perspective 2 (1). Users browse or query records on MCN Taiwan MuseFusion. (2) The Term would link to AAT-Taiwan to browse its note. (3) Use the same Term to retrieve records of TELDAP UC (6) Use the same Term to retrieve records of TELDAP UC (4) Link Subject ID to retrieve equivalent English AAT Term
41. CDWA Lite Elements MCN Taiwan MuseFusion System AAT-Taiwan Union Catalog
42.
43.
44.
45.
46.
47. Q1- Consistency of translation & system update? Information of 2008/07 Copy Translation cataloging New or Update Information: Term / Note / Hierarchy Different Update the Information in AAT-Taiwan New Information How to merge together
49. ID: 300311091 color systems Getty AAT : AAT Taiwan : No record New Information Information of 2008/07
50. Add New Term New Information Information of 2008/07 Add New Term <blue colors>
51.
52. Q2-How to integrate AAT-Taiwan with local digital archive systems? Using controlled list or authority files? Process? From Knowledge Web of Taiwan’s Diversity http://knowledge.teldap.tw
53. AAT-Taiwan Knowledge Web of Taiwan’s Diversity How to implement? cataloger other repository systems
54.
55. Example : Incense burner 資料來源: 作者不詳( 1990/3/1 )。 [ 香爐(分類號 E18/014 ) ] 。 《數位典藏聯合目錄》。 http://catalog.digitalarchives.tw/ ?URN=3318747 ( 2009/09/03 瀏覽)。 ? Object Type Description Materials and Techniques Measurement Titles 本藏品為石製香爐呈斗形,香爐身雕麒麟,雙耳雕雙獅,雙獅面朝外。爐底和爐口都是圓形,大小相等。藏品年代不久,保存完整。 This item is a stone dou cup shaped incense burner. The burner body is carved with a Chinese unicorn, with a lion carved on each of the two handles, with the lions facing outward. The bottom of the burner and the mouth are both round and roughly the same size. The item is not very old and is completely preserved. 石 stone 33cm × 31cm 香爐 Incense burner
57. Knowledge Web of Taiwan’s Diversity 2. Add the suitable term to local controlled list Local Controlled List Term Details Term Source SourceID censers AAT 300198814 saved Add One Term
58. Add the Hierarchy 1. Should we add all broader terms into the local controlled list ? 2.If the term had two hierarchies , should we add all broader terms of two hierarchies into the local controlled list ?
63. Q3- Will New Information use Unicode? Information of 2008/07 Copy Diacritical codes New Information Unicode Mapping 1.Disply- OK 2.Query - Not
64. Q3- Will New Information use Unicode? Information of 2008/07 Copy Diacritical codes Unicode Mapping 1.Disply- OK 2.Query - Not AAT Taiwan can’t search for “ Wên jên ” and “ qīnglù shānshuǐ ”
65. Q3- Will New Information use Unicode? Without transfer diacritical codes into unicode, AAT Taiwan can’t query for other languages, eg. Spanish, French.