ACL Wiki - User contributions [en]

Textual Entailment Resource Pool

2006-12-22T15:59:56Z

Mssammon:

[[Textual Entailment|Textual entailment]] systems rely on many different types of [[Natural Language Processing|NLP]] resources, including term banks, paraphrase lists, parsers, named-entity recognizers, etc. With so many resources being continuously released and improved, it can be difficult to know which particular resource to use when developing a system.

In response, the [[Recognizing Textual Entailment|Recognizing Textual Entailment (RTE)]] shared task community initiated a new activity for building this ''Textual Entailment Resource Pool''. RTE participants and any other member of the NLP community are encouraged to contribute to the pool.

In an effort to determine the relative impact of the resources, RTE participants are strongly encouraged to report, whenever possible, the contribution to the overall performance of each utilized resource. Formal qualitative and quantitative results should be included in a separate section of the system report as well as posted on the talk pages of this Textual Entailment Resource Pool.

'''Adding''' a new resource is very easy. See how to '''use existing templates''' to do this in [[Help:Using Templates]].

== Corpora ==

== Knowledge Collections ==
* [[DIRT Paraphrase Collection]]
* [http://framenet.icsi.berkeley.edu/ FrameNet]
* [http://nlp.cs.nyu.edu/paraphrase/ Sekine's Paraphrase Database]
* [[TEASE]]
* [[VerbOcean]]
* [http://wordnet.princeton.edu/ WordNet]

== Tools ==

=== Parsers ===
* [http://svn.ask.it.usyd.edu.au/trac/candc C&C parser for Combinatory Categorial Grammar]
* [[Minipar]]
* [http://www.coli.uni-saarland.de/projects/salsa/shal/ Shalmaneser]
* [http://oak.colorado.edu/assert ASSERT]
* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=SRL CCG Semantic Role Labeller] - see a [http://l2r.cs.uiuc.edu/~cogcomp/srl-demo.php web demo] of this tool
* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=SP CCG Shallow Parser] - see a [http://l2r.cs.uiuc.edu/~cogcomp/shallow_parse_demo.php web demo] of this tool

=== Entity Recognition Tools ===
* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=NE CCG Named Entity Tagger] - see a [http://l2r.cs.uiuc.edu/~cogcomp/ne_demo.php web demo] of this tool
* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=CORANKER CCG Multi-lingual Named Entity Discovery Tool] - see a [http://l2r.cs.uiuc.edu/~cogcomp/ne_matcher_demo.php web demo] of this tool

== Links ==
* [http://homepages.inf.ed.ac.uk/jbos/rte/ Textual Entailment site by Johan Bos]
* [http://ai-nlp.info.uniroma2.it/te/ Textual Entailment at the University of Rome "Tor Vergata"]
[[Category:Textual Entailment Portal]]
* [http://l2r.cs.uiuc.edu/~cogcomp/kindleDemo.php CCG Textual Entailment demo]
* [http://l2r.cs.uiuc.edu/~cogcomp/entailment-module-demos.php CCG Textual Entailment System Component demos]

Textual Entailment Resource Pool

2006-12-22T15:51:50Z

Mssammon:

[[Textual Entailment|Textual entailment]] systems rely on many different types of [[Natural Language Processing|NLP]] resources, including term banks, paraphrase lists, parsers, named-entity recognizers, etc. With so many resources being continuously released and improved, it can be difficult to know which particular resource to use when developing a system.

In response, the [[Recognizing Textual Entailment|Recognizing Textual Entailment (RTE)]] shared task community initiated a new activity for building this ''Textual Entailment Resource Pool''. RTE participants and any other member of the NLP community are encouraged to contribute to the pool.

In an effort to determine the relative impact of the resources, RTE participants are strongly encouraged to report, whenever possible, the contribution to the overall performance of each utilized resource. Formal qualitative and quantitative results should be included in a separate section of the system report as well as posted on the talk pages of this Textual Entailment Resource Pool.

'''Adding''' a new resource is very easy. See how to '''use existing templates''' to do this in [[Help:Using Templates]].

== Corpora ==

== Knowledge Collections ==
* [[DIRT Paraphrase Collection]]
* [http://framenet.icsi.berkeley.edu/ FrameNet]
* [http://nlp.cs.nyu.edu/paraphrase/ Sekine's Paraphrase Database]
* [[TEASE]]
* [[VerbOcean]]
* [http://wordnet.princeton.edu/ WordNet]

== Tools ==

=== Parsers ===
* [http://svn.ask.it.usyd.edu.au/trac/candc C&C parser for Combinatory Categorial Grammar]
* [[Minipar]]
* [http://www.coli.uni-saarland.de/projects/salsa/shal/ Shalmaneser]
* [http://oak.colorado.edu/assert ASSERT]
* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=SRL CCG Semantic Role Labeller] - see a [http://l2r.cs.uiuc.edu/~cogcomp/srl-demo.php web demo] of this tool

=== Information Extraction Tools ===
* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=NE CCG Named Entity Tagger] - see a [http://l2r.cs.uiuc.edu/~cogcomp/ne_demo.php web demo] of this tool

== Links ==
* [http://homepages.inf.ed.ac.uk/jbos/rte/ Textual Entailment site by Johan Bos]
* [http://ai-nlp.info.uniroma2.it/te/ Textual Entailment at the University of Rome "Tor Vergata"]
[[Category:Textual Entailment Portal]]
* [http://l2r.cs.uiuc.edu/~cogcomp/kindleDemo.php CCG Textual Entailment demo]
* [http://l2r.cs.uiuc.edu/~cogcomp/entailment-module-demos.php CCG Textual Entailment System Component demos]

Textual Entailment Resource Pool

2006-12-21T15:31:14Z

Mssammon: /* Parsers */

[[Textual Entailment|Textual entailment]] systems rely on many different types of [[Natural Language Processing|NLP]] resources, including term banks, paraphrase lists, parsers, named-entity recognizers, etc. With so many resources being continuously released and improved, it can be difficult to know which particular resource to use when developing a system.

In response, the [[Recognizing Textual Entailment|Recognizing Textual Entailment (RTE)]] shared task community initiated a new activity for building this ''Textual Entailment Resource Pool''. RTE participants and any other member of the NLP community are encouraged to contribute to the pool.

In an effort to determine the relative impact of the resources, RTE participants are strongly encouraged to report, whenever possible, the contribution to the overall performance of each utilized resource. Formal qualitative and quantitative results should be included in a separate section of the system report as well as posted on the talk pages of this Textual Entailment Resource Pool.

'''Adding''' a new resource is very easy. See how to '''use existing templates''' to do this in [[Help:Using Templates]].

== Corpora ==

== Knowledge Collections ==
* [[DIRT Paraphrase Collection]]
* [http://framenet.icsi.berkeley.edu/ FrameNet]
* [http://nlp.cs.nyu.edu/paraphrase/ Sekine's Paraphrase Database]
* [[TEASE]]
* [[VerbOcean]]
* [http://wordnet.princeton.edu/ WordNet]

== Tools ==

=== Parsers ===
* [http://svn.ask.it.usyd.edu.au/trac/candc C&C parser for Combinatory Categorial Grammar]
* [[Minipar]]
* [http://www.coli.uni-saarland.de/projects/salsa/shal/ Shalmaneser]
* [http://oak.colorado.edu/assert ASSERT]
* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=SRL SNoW-based Semantic Role Labeller]. [http://l2r.cs.uiuc.edu/~cogcomp/srl-demo.php A web demo of this tool.]

== Links ==
* [http://homepages.inf.ed.ac.uk/jbos/rte/ Textual Entailment site by Johan Bos]
* [http://ai-nlp.info.uniroma2.it/te/ Textual Entailment at the University of Rome "Tor Vergata"]
[[Category:Textual Entailment Portal]]

Named entity recognizers

2006-12-21T15:22:06Z

Mssammon: added links to UIUC's Cognitive Computation Group's NER tool, demo

* [http://www.aueb.gr/users/ion/software/GREEK_NERC.tar.gz Greek named entity recognizer] Currently identifies temporal expressions and person names only. See [http://www.aueb.gr/users/ion/docs/setn2006_paper.pdf this article] for further details.
* [http://l2r.cs.uiuc.edu/~cogcomp/asoftware.php?skey=NE English named entity recognizer] Identifies/classifies entities as Person, Location, Organization and Misc (this last category relates to languages and nationalities). Fast and robust -- try the [http://l2r.cs.uiuc.edu/~cogcomp/ne_demo.php demo].

Named entity recognizers

2006-12-21T15:12:56Z

Mssammon: