Interested Papers at EMNLP 2011

Accepted Papers: http://conferences.inf.ed.ac.uk/emnlp2011/papers.html

1) A Weakly-supervised Approach to Argumentative Zoning of Scientific Documents
Yufan Guo, Anna Korhonen and Thierry Poibeau

2) Linear Text Segmentation Using Affinity Propagation
Anna Kazantseva and Stan Szpakowicz

3) Identifying Relations for Open Information Extraction
Anthony Fader, Stephen Soderland and Oren Etzioni

4) Active Learning with Amazon Mechanical Turk
Florian Laws, Christian Scheible and Hinrich Schütze

5) Extreme Extraction — Machine Reading in a Week
Marjorie Freedman, Lance Ramshaw, Elizabeth Boschee, Ryan Gabbard, Nicolas Ward and Ralph Weischedel

6) Discovering Relations between Noun Categories
Thahir Mohamed, Estevam Hruschka and Tom Mitchell

7) Bootstrapped Named Entity Recognition for Product Attribute Extraction
Duangmanee Putthividhya and Junling Hu

8) Predicting a Scientific Community’s Response to an Article
Dani Yogatama, Michael Heilman, Brendan O'Connor, Chris Dyer, Bryan R. Routledge and Noah A. Smith

9) Language Models for Machine Translation: Original vs. Translated Texts
Gennadi Lembersky, Noam Ordan and Shuly Wintner

10) Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter
Eiji Aramaki, Sachiko Maskawa and Mizuki Morita

11) Rumor has it: Identifying Misinformation in Microblogs
Vahed Qazvinian, Emily Rosengren, Dragomir R. Radev and Qiaozhu Mei

SALM: Suffix Array and its Applications in Empirical Language Processing

Link: http://projectile.sv.cmu.edu/research/public/tools/salm/salm.htm
Another customized version: https://github.com/jhclark/salm

SALM is C++ package that provides functions to locate and estimates statistics of n-grams in a large corpus. SALM toolkit provides example applications such as estimating type/token frequency, locating n-gram occurrences, and a suffix array language model that can have arbitrarily long history for a very large training corpus.

A USENET corpus (2005-2010)

http://www.psych.ualberta.ca/~westburylab/downloads/usenetcorpus.download.html

This corpus was collected between Oct 2005 and Jan 2011, and covers 47860 English language, non-binary-file news groups:
+ Corpus size: over 30 billion words,
+ Data size: over 34Gb, compressed (delivered as weekly bundles of about 150 Mb each.)

Mining scientific texts

This post is to collect all papers related to mining scientific texts (entity & relation extraction, summarization, ...).

1) http://www.lrec-conf.org/proceedings/lrec2008/pdf/773_paper.pdf
(Extracting and Querying Relations in Scientific Papers on Language Technology)

2)

Google Style Guide

http://code.google.com/p/google-styleguide/

hunalign – sentence aligner

http://mokk.bme.hu/resources/hunalign/

Intro

hunalign aligns bilingual text on the sentence level. Its input is tokenized and sentence-segmented text in two languages. In the simplest case, its output is a sequence of bilingual sentence pairs (bisentences).

In the presence of a dictionary, hunalign uses it, combining this information with Gale-Church sentence-length information. In the absence of a dictionary, it first falls back to sentence-length information, and then builds an automatic dictionary based on this alignment. Then it realigns the text in a second pass, using the automatic dictionary.

Like most sentence aligners, hunalign does not deal with changes of sentence order: it is unable to come up with crossing alignments, i.e., segments A and B in one language corresponding to segments B’ A’ in the other language.

There is nothing Hungarian-specific in hunalign, the name simply reflects the fact that it is part of the hun* NLP toolchain.

hunalign was written in portable C++. It can be built under basically any kind of operating system.

YouAlign - Online document alignment solution

http://www.youalign.com/

"Welcome to YouAlign, your online document alignment solution. No software to purchase, no software to install. With YouAlign you can quickly and easily create bitexts from your archived documents. A YouAlign bitext contains a document and its translation aligned at the sentence level. YouAlign generates TMX files that can be loaded into your translation memory. YouAlign can also generate HTML files that you can publish on the Internet, or use with a full-text search engine to search for terminology and phraseology in context.

YouAlign is powered by the AlignFactory engine, which supports all kinds of formats, including Microsoft Word, Excel and PowerPoint, PDF, HTML, XML, Corel WordPerfect, RTF, Lotus WordPro and plain text."