weakly supervised partofspeech tagging

Ngày tải lên: 24/03/2014, 03:20

... the ACL, pages 817–824, Sydney, July 2006. c 2006 Association for Computational Linguistics Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora Alexandre ... employ machine learning techniques and require supervised data. However, many languages lack such resources. This paper presents an (almost) unsupervised learning algorithm for automatic discov- ery ... entirely translated. We take advantage of dynamically growing feature space to reduce the number of supervised training examples. 3 Co-Ranking: An Algorithm for NE Discovery 3.1 The algorithm In essence,...

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Ngày tải lên: 31/03/2014, 03:20

Ngày tải lên: 31/03/2014, 20:20

... tagging is the task of recogniz- ing and classifying phrases into one of many se- mantic classes such as persons, organizations and locations. Many successful NE tagging systems rely on a supervised ... experimental results suggest that a semi -supervised NE tagger can be success- fully developed using syntax-rich features. 2 Previous Works and Our Approach Supervised NE Tagging has been studied exten- sively ... Arbor, June 2005. c 2005 Association for Computational Linguistics Syntax-based Semi -Supervised Named Entity Tagging Behrang Mohit Rebecca Hwa Intelligent Systems Program Computer Science...

Ngày tải lên: 20/02/2014, 15:20

... learning Chương II: HỌC NỬA GIÁM SÁT (Semi -supervised learning ) I. TỔNG QUAN 1.1 Giới thiệu về học có giám sát (supervised learning) và không có giám sát (unsupervised learning) a. Học có giám sát: ... máy Chương II: HỌC NỬA GIÁM SÁT(Semi -supervised learning ) I. TỔNG QUAN 1.1 Giới thiệu về học có giám sát (supervised learning) và không có giám sát (unsupervised learning) a. Học có giám ... quyết bài toán. I. KẾT QUẢ BAN ĐẦU ĐÃ ĐẠT ĐƯỢC II. HƯỚNG PHÁT TRIỂN SEMI – SUPERVISED LEARNING MỤC LỤC Semi – supervised learning 1 Chương I: GIỚI THIỆU VỀ MÁY HỌC 4 ( Machine learning ) 4 I...

Ngày tải lên: 25/04/2013, 19:30

... 12 Chng II: HC NA GIM ST 14 (Semi -supervised learning ) 14 I. TNG QUAN 14 1.1 Gii thiu v hc cú giỏm sỏt (supervised learning) v khụng cú giỏm sỏt (unsupervised learning) 14 a. Hc cú giỏm ... 14 Chương II: HỌC NỬA GIÁM SÁT (Semi -supervised learning ) I. TỔNG QUAN 1.1 Giới thiệu về học có giám sát (supervised learning) và khơng có giám sát (unsupervised learning) a. Học có giám ... loi theo kt qu mong mun ca thut toỏn. Cỏc loi thut toỏn thng dựng bao gm: ã Hc cú giỏm sỏt (supervised learning) trong ú, thut toỏn to ra mt hm ỏnh x d liu vo ti kt qu mong mun. Mt phỏt biu...

Ngày tải lên: 27/04/2013, 21:02

... its class name. For example, type person_typ, which has a static method Chapter 15. Weakly Typed Object SQL Weakly typed object SQL refers to the use of structures, arrays, and references to ... database. In this chapter, we'll concentrate on the weakly typed solutions for doing this. Let's begin our journey into the weakly typed objects with the Struct object. 15.2 Structs ... up to you, the programmer, to properly cast each object value as it is used. Hence, a Struct is weakly typed. If, in turn, an attribute of the Struct represents another structured SQL data type,...

Ngày tải lên: 29/09/2013, 09:20

Ngày tải lên: 13/02/2014, 08:20

... To the best of our knowledge, this formulation of the task is novel. • We developed a minimally supervised ap- proach for the task using focused distributional similarity methods that are automatically ... task, and a minimal set of development documents for threshold tuning, we developed a minimally supervised approach to identify causality relations between events in con- text. We also showed ... model to predict causal potential. In CI- CLING. Cosmin Adrian Bejan and Sanda Harabagiu. 2010. Un- supervised event coreference resolution with rich lin- guistic features. In ACL. Nathanael Chambers...

Ngày tải lên: 19/02/2014, 18:20

... test set method usual unusual usual unusual our approach 90000 NA supervised- 1 90000 20000 supervised- 2 90000 2000 72750 2250 unsupervised NA NA event, while all the other events are considered ... see that the supervised HMM with sufficient amount of training data gives the best performance. The proposed approach improves the performance, compared to the supervised- 2 and unsupervised baselines. ... 9 0 0.1 0.2 0.3 0.4 0.5 iteration FAR FRR HTER (a) 1 2 3 4 5 6 7 8 9 0 0.1 0.2 0.3 0.4 iteration HTER (our method) HTER (supervised 1) HTER (supervised 2) HTER (unsupervised) (b) Figure 4. Results for audio unusual event detection. The X-axis represents...

Ngày tải lên: 19/02/2014, 18:20

... pre- vious unsupervised system, and unlike the super- vised and semi -supervised systems we mentioned, our model can be used for both unsupervised and semi -supervised mining in a consistent way. 3 Unsupervised ... with the unsupervised mining sys- tem of Sajjad et al. (2011), the best supervised and semi -supervised systems presented at NEWS10 (Kumaran et al., 2010b) and the best supervised and semi -supervised ... the unsupervised and semi- supervised systems achieve higher accuracy than the only unsupervised transliteration mining system we are aware of and are competitive with the state- of-the-art supervised...

Ngày tải lên: 19/02/2014, 19:20

... tagging algorithm using bidirectional dependency networks, and showed the best contemporary results. Gim ´ enez and M ` arquez (2004) used one-pass, left-to-right and right-to-left combined tagging ... Computational Linguistics, ACL’07, pages 760–767. Anders Søgaard. 2011. Semi -supervised condensed nearest neighbor for part-of-speech tagging. In Pro- ceedings of the 49th Annual Meeting of the Associa- tion ... approach, coupled with a one-pass, left- to-right POS tagging algorithm, is evaluated on corpora from seven different genres. Even with this simple tagging algorithm, our sys- tem shows comparable...

Ngày tải lên: 19/02/2014, 19:20