Data

Best Papers:

Year	Conference	Best Papers
2014	VLDB
	SIGMOD
	KDD
	ICDE
	CIKM
	EDBT
	UAI
	WWW
	CHI
	NACCLE
	ACLWEB
	ICML
2013	VLDB
	SIGMOD
	KDD
	ICDE
	CIKM
	EDBT
	UAI
	WWW
	CHI
	NACCLE
	ACLWEB
	ICML

2014

VLDB

SIGMOD

KDD

ICDE

CIKM

EDBT

UAI

WWW

CHI

NACCLE

ACLWEB

2013

VLDB

SIGMOD

KDD

ICDE

CIKM

EDBT

UAI

WWW

CHI

NACCLE

ACLWEB

Top conferences by order:

1	2	3	4	5	6
VLDB Very Large Database Systems SIGMOD Management Of Data	KDD Knowledge Discovery and Data Mining	ICDE International Conference on Data Engineering	CIKM Conference on Information and Knowledge Management EDBT Extending Database Technology	AAAI/IAAA/ UAI Uncertainty in Artificial Intelligence WWW CHI Conference on Human Factors in Computing Systems	NACCLE ACLWEB

Check program committee websites, students pages, best papers, follow on twitter for new faculty

Mongo DB, Stream Processing databases. Trueviso,

People

Person	Affiliation	Projects/Papers
Michael Franklin	Berkeley	Amplab(CrowdDB, Spark, Shark)
Noah Smith	CMU
Tom Mitchell	CMU	PIDGIN: onthology alighnmnt using web text as interlingua NELL
Chris Manning	Stanford	NLP, Deep Learning for NLP
Andrew McCallum	UMASS	Factorie,

NLP Tools
----------------

Stanford NLP
CMU Twitter NLP - POS tagging

[Corpora-List] New parallel corpus release: OpenSubtitles2016

Inbox

OpenSubtitles2016

We just released a major update of the parallel subtitle corpus in OPUS:

http://opus.lingfil.uu.se/OpenSubtitles2016.php

2.8 million subtitle files in 60 languages with a total of over 17 billion tokens in 2.6 billion sentences and sentence fragments.

As usual in OPUS all languages are sentence-aligned creating a total of 1,689 bitexts.

The data sets are provided in standalone XML format with standoff sentence alignment, TMX and aligned plain text format (often used in training SMT models).

More information is available in:

Pierre Lison and Jörg Tiedemann, 2012, OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016)

http://stp.lingfil.uu.se/~joerg/paper/opensubs2016.pdf

In addition, we also provide intra-lingual alignments between alternative subtitles in the same language:

http://opus.lingfil.uu.se/OpenSubtitles2016alt.php

More information about those alignments and how they are sorted into various categories can be found in:

Jörg Tiedemann, 2012, Finding Alternative Translations in a Large Corpus of Movie Subtitles.
In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016)

http://stp.lingfil.uu.se/~joerg/paper/lrec2016.pdf

Note, that all data sets are automatically created using various pre-processing and alignment tools.

There will be problems at various levels. Feedback is very welcome!

Other new data sets in OPUS:

News Commentary version 11 (originally provided by CASMACAT):

http://opus.lingfil.uu.se/News-Commentary11.php

Different to the original source, this release is truly multilingual with alignments across all languages.

Global Voices (also provided by CASMACAT):

http://opus.lingfil.uu.se/GlobalVoices.php

Again, this version is multilingual.

Wikipedia:

A corpus of parallel sentences extracted from Wikipedia by Krzysztof Wołk and Krzysztof Marasek. More information: Krzysztof Wołk and Krzysztof Marasek: Building Subject-aligned Comparable Corpora and Mining it for Truly Parallel Sentence Pairs., Procedia Technology, 18, Elsevier, p.126-132, 2014

http://www.sciencedirect.com/science/article/pii/S2212017314005453

For more information on OPUS:

http://opus.lingfil.uu.se/index.php

Select the language pair you are interested in to see all resources that are available for that particular language pair.

Data formats are explained here: http://opus.lingfil.uu.se/trac

Enjoy!

Subpages (1): Ecology Papers