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hltcoe.github.io

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This page provides links to a few of the projects started at the HLTCOE. Additional resources can be found on the HLTCOE GitHub page. Concrete is a data serialization format for NLP. It replaces ad-hoc XML, CSV, or programming language-specific serialization as a way of storing document- and sentence- level annotations. Concretely Annotated Corpora - Coming 2016. For the full description, see Ferraro et al. (2014).

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HLTCOE | hltcoe.github.io Reviews
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This page provides links to a few of the projects started at the HLTCOE. Additional resources can be found on the HLTCOE GitHub page. Concrete is a data serialization format for NLP. It replaces ad-hoc XML, CSV, or programming language-specific serialization as a way of storing document- and sentence- level annotations. Concretely Annotated Corpora - Coming 2016. For the full description, see Ferraro et al. (2014).
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1 human language technology
2 center of excellence
3 concrete
4 getting started
5 schema documentation
6 concrete java docs
7 code
8 concrete python docs
9 mailing list
10 english gigaword
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HLTCOE | hltcoe.github.io Reviews

https://hltcoe.github.io

This page provides links to a few of the projects started at the HLTCOE. Additional resources can be found on the HLTCOE GitHub page. Concrete is a data serialization format for NLP. It replaces ad-hoc XML, CSV, or programming language-specific serialization as a way of storing document- and sentence- level annotations. Concretely Annotated Corpora - Coming 2016. For the full description, see Ferraro et al. (2014).

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hltcoe.github.io hltcoe.github.io
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concrete API documentation

http://hltcoe.github.io/concrete-python

Python modules and scripts for working with Concrete. An HLT data specification defined using Thrift. Show source ≡. This file is NOT auto-generated. Python modules and scripts for working with. Concrete](https:/ github.com/hltcoe/concrete), an HLT data. Specification defined using [Thrift](http:/ thrift.apache.org). To print data in a Communication. The function implementations provide useful examples of how to interact with many different Concrete datastructures. Utility code for working with Concrete.

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cs.jhu.edu cs.jhu.edu

Benjamin Van Durme

http://www.cs.jhu.edu/~vandurme

Benjamin Van Durme : vandurme@cs.jhu.edu. Department of Computer Science. Center for Language and Speech Processing. Department of Cognitive Science. Lead, Text Research. Human Language Technology Center of Excellence. Fall 2016: 600.365 Knowledge Discovery from Text. EduNLP), Frank Ferraro. Semantics), Adam Teichert (semantics), Keith Levin. Algorithms), Travis Wolfe. IE), Rachel Rudinger. Semantics), Chandler May. Algorithms), Pushpendre Rastogi. Semantics), Keisuke Sakaguchi. EduNLP), Tongfei Chen.

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Hopkin Looking To Curl One. A regular look at things through the eyes of a fanatical Palace fan, contemplating all things CPFC from results to the colour of Calvin Andrew's bootlaces. Thursday, 16 February 2012. The world in which we live has, in recent years at least, become a place where short-termism is king. We have 18 games to go this season and are still within touching distance of the Play-Offs, but felt with the transfer window now closed we needed to make the change at this time in the belief th...

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HLTCO’s Patreon Rewards.

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HLTCOE

This page provides links to a few of the projects started at the HLTCOE. Additional resources can be found on the HLTCOE GitHub page. Concrete is a data serialization format for NLP. It replaces ad-hoc XML, CSV, or programming language-specific serialization as a way of storing document- and sentence- level annotations. Concretely Annotated Corpora - Coming 2016. For the full description, see Ferraro et al. (2014).

hltcoe.jhu.edu hltcoe.jhu.edu

Human Language Technology Center of Excellence |

SCALE Participant’s Guide. The HLTCOE at the Historic Stieff Silver Building. An Academic Center for Human Language Technology Research. Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models. COE researchers propose a new neural sequence model that outperforms the pipeline in traditional cross-lingual open information extraction setting. Read the Full Paper Here. NVIDIA DGX-1 Comes to the HLTCOE. Is Our Mind a Machine Learning Alogrithm? Apr 15 Apr 20 all-day. Http:/ www.g...

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Chợ cà phê

Giờ làm việc: 8h30-22h cả T7, CN. Địa chỉ: 39A Miếu Gò Xoài, Bình Hưng Hoà A, Bình Tân, HCM. Hotline: 0979.789.285. DANH MỤC SẢN PHẨM. Cafe nguyên chất 100%. Cafe cho người ăn chay. Rang xay cafe gia công. Rang xay cafe gia công. Sửa chữa - Bảo trì. Tại quán - Tại xưởng. Máy ép túi cafe. Thu mua máy rang cafe. Thu mua máy xay cafe. Kí gởi - Sang nhượng. Rang - Xay thuê. TUYỂN DỤNG. Hỗ trợ trực tuyến. CAM KẾT 100% CHÍNH HÃNG nguồn gốc, xuất xứ sản phẩm rõ ràng. MÁY PHA CÀ PHÊ. MÁY XAY CÀ PHÊ PHA PHIN.

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HLTCon 2016 – Human Language Technology Conference

Text analytics in a. March 31, 2016 /. Tysons Corner, VA. With 60 million refugees on the move, more than ever before in human history, we must understand who is among them to secure the land and protect the individual. Join us at HLTCon to discuss how innovations in HLT are leading the challenge. You will have a unique opportunity to network with fellow senior officials, expert linguists, technologists, and product owners across industry and government. Chief, Human Language Technology, CIA. Dr O’...