ACL Wiki - User contributions [en]

State of the art

2007-06-18T14:56:34Z

Yoavg:

The purpose of this section of the ACL wiki is to be a repository
of k-best state-of-the-art results (i.e. methods and software) for various core natural language processing tasks.

As a side effect, this should hopefully evolve into a knowledge base of standard evaluation methods and datasets for various tasks, as well as encourage more effort into reproducibility of results.

This will help newcomers to a field appreciate what has been done so far and what the main tasks are, and will help keep active researchers informed on fields other than their specific research. The next time you'd need a system for PP attachment, or wonder what is the current state of word sense disambiguation, this will be the place to visit.

Please contribute!

(this is also a good place for you to display your results!)

* [[POS Tagging (StateOfTheArt) |POS Tagging]]
* [[NP Chunking (StateOfTheArt)|NP Chunking]]
* [[Chunking (StateOfTheArt)|Chunking]] (stub)
* [[Named Entity Recognition (StateOfTheArt)|Named Entity Recognition]] (stub)
* [[PP Attachment (StateOfTheArt)|PP Attachment]] (stub)
* [[Anaphora Resolution (StateOfTheArt)|Anaphora Resolution]] (stub)
* [[Parsing (StateOfTheArt)|Parsing]]
* [[Dependency Parsing (StateOfTheArt)|Dependency Parsing]] (stub)
* [[Semantic Role Labeling (StateOfTheArt)|Semantic Role Labeling]] (stub)
* [[Word Sense Disambiguation (StateOfTheArt)|Word Sense Disambiguation]] (stub)
* [[Document Classification (StateOfTheArt)|Document Classification]] (stub)
* [[Sentiment Analysis (StateOfTheArt)|Sentiment Analysis]] (stub)

NP Chunking (State of the art)

2007-06-18T14:55:46Z

Yoavg:

== "Standard" measure: ==
The performance of the algorithm is measured with two scores: precision and recall. Precision measures how many NPs found by the algorithm are correct and the recall rate contains the percentage of NPs defined in the corpus that were found by the chunking program.

The two rates can be combined in one measure: the F rate in which F = 2*precision*recall / (recall+precision)

== "Standard" datasets: ==
The original data of the NP chunking experiments by Lance Ramshaw and Mitch Marcus. The data contains one word per line and each line contains six fields of which only the first three fields are relevant: the word, the part-of-speech tag assigned by the Brill tagger and the correct IOB tag.

The standard data set put forward by Ramshaw and Marcus consists of sections 15-18 of the Wall Street Journal corpus as training material and section 20 of that corpus as test material.

Dataset is available from [ftp://ftp.cis.upenn.edu/pub/chunker/].

== More information: ==
See here: [http://ifarm.nl/erikt/research/np-chunking.html]

{{StateOfTheArtTable}}

| KM00 || B-I-O tagging using SVM classifiers with polynomial kernel || KM00 [http://citeseer.comp.nus.edu.sg/rd/0%2C394415%2C1%2C0.25%2CDownload/http://citeseer.comp.nus.edu.sg/cache/papers/cs/18905/http:zSzzSzlcg-www.uia.ac.bezSzconll2000zSzpszSz14244kud.pdf/kudoh00use.pdf] || YAMCHA Toolkit [http://chasen.org/~taku/software/yamcha/] (but models are not provided) || F: 93.79 || ||
|-
| KM01 || Learning like in KM00, but voting between different representation. || KM01 [http://cactus.aist-nara.ac.jp/~taku-ku/publications/naacl2001.pdf] || No. || F: 94.22 || ||
|-
| --- || Specialized HMM + voting between different representation. || Sarkar2005 [http://www.cs.sfu.ca/~anoop/papers/pdf/ai05.pdf] || No. || F: 95.23 || ||
|-
|}

* KM00 - Taku Kudo and Yuji Matsumoto. 2000b. Use of Support Vector Learning for Chunk Identification. In Proceedings of the 4th Conference on CoNLL-2000 and LLL-2000.
* KM01 - Taku Kudo and Yuji Matsumoto. Chunking with support vector machines. In NAACL-2001
* Sarkar2005 - Hong Shen and Anoop Sarkar. Voting between Multiple Data Representations for Text Chunking. In proceedings of the Eighteenth Meeting of the Canadian Society for Computational Intelligence, Canadian AI 2005.

[[Category:State Of The Art]]

State of the art

2007-06-17T22:21:38Z

Yoavg:

The purpose of this section of the ACL wiki is to be a repository
of k-best state-of-the-art results (i.e. methods and software) for various core natural language processing tasks.

As a side effect, this should hopefully evolve into a knowledge base of standard evaluation methods and datasets for various tasks, as well as encourage more effort into reproducibility of results.

This will help newcomers to a field appreciate what has been done so far and what the main tasks are, and will help keep active researchers informed on fields other than their specific research. The next time you'd need a system for PP attachment, or wonder what is the current state of word sense disambiguation, this will be the place to visit.

Please contribute!

(this is also a good place for you to display your results!)

* [[POS Tagging (StateOfTheArt) |POS Tagging]]
* [[NP Chunking (StateOfTheArt)|NP Chunking]] (stub)
* [[Chunking (StateOfTheArt)|Chunking]] (stub)
* [[Named Entity Recognition (StateOfTheArt)|Named Entity Recognition]] (stub)
* [[PP Attachment (StateOfTheArt)|PP Attachment]] (stub)
* [[Anaphora Resolution (StateOfTheArt)|Anaphora Resolution]] (stub)
* [[Parsing (StateOfTheArt)|Parsing]]
* [[Dependency Parsing (StateOfTheArt)|Dependency Parsing]] (stub)
* [[Semantic Role Labeling (StateOfTheArt)|Semantic Role Labeling]] (stub)
* [[Word Sense Disambiguation (StateOfTheArt)|Word Sense Disambiguation]] (stub)
* [[Document Classification (StateOfTheArt)|Document Classification]] (stub)
* [[Sentiment Analysis (StateOfTheArt)|Sentiment Analysis]] (stub)

State of the art

2007-06-16T22:37:00Z

Yoavg:

* [[POS Tagging (StateOfTheArt) |POS Tagging]]
* [[NP Chunking (StateOfTheArt)|NP Chunking]] (stub)
* [[Chunking (StateOfTheArt)|Chunking]] (stub)
* [[Named Entity Recognition (StateOfTheArt)|Named Entity Recognition]] (stub)
* [[PP Attachment (StateOfTheArt)|PP Attachment]] (stub)
* [[Anaphora Resolution (StateOfTheArt)|Anaphora Resolution]] (stub)
* [[Parsing (StateOfTheArt)|Parsing]]
* [[Dependency Parsing (StateOfTheArt)|Dependency Parsing]] (stub)
* [[Semantic Role Labeling (StateOfTheArt)|Semantic Role Labeling]] (stub)
* [[Word Sense Disambiguation (StateOfTheArt)|Word Sense Disambiguation]] (stub)
* [[Document Classification (StateOfTheArt)|Document Classification]] (stub)
* [[Sentiment Analysis (StateOfTheArt)|Sentiment Analysis]] (stub)

Parsing (State of the art)

2007-06-16T22:13:07Z

Yoavg:

== "Standard" measure: ==
PARSEVAL -- the evalb[http://nlp.cs.nyu.edu/evalb/] program.

== "Standard" datasets: ==
* Training: WSJ sections 2-22
* Testing: WSJ section 23

{{StateOfTheArtTable}}

| Johnson & Charniak's Parser || Lexicalized N-Best PCFG + Discriminative re-reanking || Mark Johnson and Eugene Charniak, ACL 2005 [http://acl.ldc.upenn.edu/P/P05/P05-1022.pdf] || Available [http://www.cog.brown.edu/~mj/Software.htm] || 91.4 || Works well also on Brown
|-
| Collins' Parser || Lexicalized PCFG || Collins' Thesis [http://people.csail.mit.edu/mcollins/papers/thesis.ps], Bikel's Thesis [http://www.cis.upenn.edu/~dbikel/papers/thesis.pdf] || Dan Bikel's Implementation [http://www.cis.upenn.edu/~dbikel/software.html] || ??? ||
|-

|}

[[Category:State Of The Art]]

Sentiment Analysis (State of the art)

2007-06-16T21:55:01Z

Yoavg:

== "Standard" measure: ==

== "Standard" datasets: ==

{{StateOfTheArtTable}}

| SystemName || How does it work? || Author and Article [http://www.bla.com] || Software? || 98% according to... || Any extra comments?
|-

|-

|}

[[Category:State Of The Art]]

Document Classification (State of the art)

2007-06-16T21:54:39Z

Yoavg:

Word Sense Disambiguation (State of the art)

2007-06-16T21:54:11Z

Yoavg:

Semantic Role Labeling (State of the art)

2007-06-16T21:53:49Z

Yoavg:

Dependency Parsing (State of the art)

2007-06-16T21:53:22Z

Yoavg:

Parsing (State of the art)

2007-06-16T21:52:52Z

Yoavg:

Anaphora Resolution (State of the art)

2007-06-16T21:52:31Z

Yoavg:

PP Attachment (State of the art)

2007-06-16T21:51:58Z

Yoavg:

Named Entity Recognition (State of the art)

2007-06-16T21:51:33Z

Yoavg:

Chunking (State of the art)

2007-06-16T21:50:30Z

Yoavg:

Chunking (State of the art)

2007-06-16T21:49:24Z

Yoavg:

== "Standard" measure: ==

== "Standard" datasets: ==

{{StateOfTheArtTable}}

| SystemName || How does it work? || [http://www.bla.com:Article] || Software? || 98% according to... || Any extra comments?
|-

|-

|}

[[Category:State Of The Art]]

Chunking (State of the art)

2007-06-16T21:47:20Z

Yoavg:

== "Standard" measure: ==

== "Standard" datasets: ==

{{StateOfTheArtTable}}

| SystemName || How does it work? || [Article|http://www.bla.com || Software? || 98% according to... || Any extra comments?
|-

|-

|}

[[Category:State Of The Art]]

Chunking (State of the art)

2007-06-16T21:46:53Z

Yoavg:

== "Standard" measure: ==

== "Standard" datasets: ==

{{StateOfTheArtTable}}

| SystemName || How does it work? || [http://www.bla.com|Article] || Software? || 98% according to... || Any extra comments?
|-

|-

|}

[[Category:State Of The Art]]

Chunking (State of the art)

2007-06-16T21:46:33Z

Yoavg:

== "Standard" measure: ==

== "Standard" datasets: ==

{{StateOfTheArtTable}}

| SystemName || How does it work? || [http://www.bla.com|Article || Software? || 98% according to... || Any extra comments?
|-

|-

|}

[[Category:State Of The Art]]

Chunking (State of the art)

2007-06-16T21:45:59Z

Yoavg:

== "Standard" measure: ==

== "Standard" datasets: ==

{{StateOfTheArtTable}}

| SystemName || How does it work? || [Article|http://www.bla.com] || Software? || 98% according to... || Any extra comments?
|-

|-

|}

[[Category:State Of The Art]]

NP Chunking (State of the art)

2007-06-16T21:44:33Z

Yoavg:

NP Chunking (State of the art)

2007-06-16T21:43:57Z

Yoavg:

NP Chunking (State of the art)

2007-06-16T21:41:41Z

Yoavg:

== "Standard" measure: ==

== "Standard" datasets: ==

{| border="1" cellpadding="2"
!width="10%"|System Name
!width="10%"|Short Description
!width="25%"|Main Publications
!width="25%"|Software (if available)
!width="10%"|Results
!width="20%"|Comments (i.e. extra resources used, train/test times, ...)
|-

|-

|-

|}

[[Category:State Of The Art]]

Category:State Of The Art

2007-06-16T21:27:50Z

Yoavg:

State of the art results and software for various core NLP tasks.

Chunking (State of the art)

2007-06-16T17:11:05Z

Yoavg:

== "Standard" measure: ==

== "Standard" datasets: ==

{{StateOfTheArtTable}}

|-

|-

|}

[[Category:State Of The Art]]

NP Chunking (State of the art)

2007-06-16T17:10:45Z

Yoavg:

== "Standard" measure: ==

== "Standard" datasets: ==

{{StateOfTheArtTable}}

|-

|-

|}

[[Category:State Of The Art]]

State of the art

2007-06-16T17:08:52Z

Yoavg:

* [[POS Tagging (StateOfTheArt) |POS Tagging]]
* [[NP Chunking (StateOfTheArt)|NP Chunking]]
* [[Chunking (StateOfTheArt)|Chunking]]
* [[Named Entity Recognition (StateOfTheArt)|Named Entity Recognition]]
* [[PP Attachment (StateOfTheArt)|PP Attachment]]
* [[Anaphora Resolution (StateOfTheArt)|Anaphora Resolution]]
* [[Parsing (StateOfTheArt)|Parsing]]
* [[Dependency Parsing (StateOfTheArt)|Dependency Parsing]]
* [[Semantic Role Labeling (StateOfTheArt)|Semantic Role Labeling]]
* [[Word Sense Disambiguation (StateOfTheArt)|Word Sense Disambiguation]]
* [[Document Classification (StateOfTheArt)|Document Classification]]
* [[Sentiment Analysis (StateOfTheArt)|Sentiment Analysis]]

StateOfTheArt POS Tagging

2007-06-16T17:07:33Z

Yoavg: StateOfTheArt POS Tagging moved to POS Tagging (StateOfTheArt)

#REDIRECT [[POS Tagging (StateOfTheArt)]]

POS Tagging (State of the art)

2007-06-16T17:07:33Z

Yoavg: StateOfTheArt POS Tagging moved to POS Tagging (StateOfTheArt)

== "Standard" measure: ==
* Per token accuracy

== "Standard" datasets: ==
* Training: sections 0-18 of WSJ
* Testing: sections 22-24 of WSJ

{{StateOfTheArtTable}}
| SVMTool || SVM Based tagger and tagger generator || Jesús Giménez and Lluís Márquez. SVMTool: A general POS tagger generator based on Support Vector Machines[http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf] || [http://www.lsi.upc.es/~nlp/SVMTool/|http://www.lsi.upc.es/~nlp/SVMTool/ || 97.16% ||
|-

| --- || Learning with Cyclic Dependency Network || Kristina Toutanova, Dan Klein, Christopher D. Manning, and Yoram Singer. Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network [http://nlp.stanford.edu/kristina/papers/tagging.pdf] || No || 97.24% ||
|-

|}

[[Category:State Of The Art]]

POS Tagging (State of the art)

2007-06-16T17:03:23Z

Yoavg:

POS Tagging (State of the art)

2007-06-16T16:56:08Z

Yoavg:

POS Tagging (State of the art)

2007-06-16T16:48:19Z

Yoavg:

{{StateOfTheArtTable}}
| SVMTool || SVM Based tagger and tagger generator || Jesús Giménez and Lluís Márquez. SVMTool: A general POS tagger generator based on Support Vector Machines[http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf] || [http://www.lsi.upc.es/~nlp/SVMTool/|http://www.lsi.upc.es/~nlp/SVMTool/ || 97.16% Accuracy, Trained on WSJ 0-18, Tested on WSJ 22-24 ||
|-

|}

Template:StateOfTheArtTable

2007-06-16T16:47:24Z

Yoavg:

POS Tagging (State of the art)

2007-06-16T16:47:09Z

Yoavg:

{{StateOfTheArtTable}}
| SVMTool || SVM Based tagger and tagger generator || Jesús Giménez and Lluís Márquez. SVMTool: A general POS tagger generator based on Support Vector Machines[http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf] || [http://www.lsi.upc.es/~nlp/SVMTool/|http://www.lsi.upc.es/~nlp/SVMTool/] || 97.16% Accuracy, Trained on WSJ 0-18, Tested on WSJ 22-24 ||
|-

|}

POS Tagging (State of the art)

2007-06-16T14:57:59Z

Yoavg:

{| border="1" cellpadding="2"
!width="10%"|System Name
!width="10%"|Short Description
!width="25%"|Main Publications
!width="25%"|Software (if available)
!width="10%"|Results
!width="20%"|Comments (i.e. extra resources used, train/test times, ...)
|-
| SVMTool || SVM Based tagger and tagger generator || Jesús Giménez and Lluís Márquez. SVMTool: A general POS tagger generator based on Support Vector Machines[http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf] || [http://www.lsi.upc.es/~nlp/SVMTool/|http://www.lsi.upc.es/~nlp/SVMTool/] || 97.16% Accuracy, Trained on WSJ 0-18, Tested on WSJ 22-24 ||
|-

|}

POS Tagging (State of the art)

2007-06-16T14:57:18Z

Yoavg:

POS Tagging (State of the art)

2007-06-16T14:56:31Z

Yoavg:

{| border="1" cellpadding="2"
!width="10%"|System Name
!width="10%"|Short Description
!width="25%"|Main Publications
!width="25%"|Software (if available)
!width="10%"|Results
!width="20%"|Comments (i.e. extra resources used, train/test times, ...)
|-
| SVMTool || SVM Based tagger and tagger generator || [http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf|Jesús Giménez and Lluís Márquez. SVMTool: A general POS tagger generator based on Support Vector Machines] || [http://www.lsi.upc.es/~nlp/SVMTool/|http://www.lsi.upc.es/~nlp/SVMTool/] || 97.16% Accuracy, Trained on WSJ 0-18, Tested on WSJ 22-24 || ||
|-

|}

System Name | Short Description | Main Publications | Software (if available) | Results | Comments (i.e. extra resources used, train/test times, ...)

POS Tagging (State of the art)

2007-06-16T14:55:28Z

Yoavg:

{| border="1" cellpadding="2"
!width="10%"|System Name
!width="10%"|Short Description
!width="25%"|Main Publications
!width="25%"|Software (if available)
!width="10%"|Results
!width="20%"|Comments (i.e. extra resources used, train/test times, ...)
|-
| SVMTool || SVM Based tagger and tagger generator || [http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf|J esús Giménez and Lluís Márquez. SVMTool: A general POS tagger generator based on Support Vector Machines] || [http://www.lsi.upc.es/~nlp/SVMTool/|http://www.lsi.upc.es/~nlp/SVMTool/] || 97.16% Accuracy, Trained on WSJ 0-18, Tested on WSJ 22-24 || ||
|-

|}

System Name | Short Description | Main Publications | Software (if available) | Results | Comments (i.e. extra resources used, train/test times, ...)

POS Tagging (State of the art)

2007-06-16T14:54:31Z

Yoavg:

{| border="1" cellpadding="2"
!width="10%"|System Name
!width="10%"|Short Description
!width="10%"|Main Publications
!width="10%"|Software (if available)
!width="10%"|Results
!width="10%"|Comments (i.e. extra resources used, train/test times, ...)
|-
| SVMTool || SVM Based tagger and tagger generator || [http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf|J esús Giménez and Lluís Márquez . SVMTool: A general POS tagger generator based on Support Vector Machines.] || [http://www.lsi.upc.es/~nlp/SVMTool/|http://www.lsi.upc.es/~nlp/SVMTool/] || 97.16% Accuracy, Trained on WSJ 0-18, Tested on WSJ 22-24 || ||
|-

|}

System Name | Short Description | Main Publications | Software (if available) | Results | Comments (i.e. extra resources used, train/test times, ...)

POS Tagging (State of the art)

2007-06-16T14:52:54Z

Yoavg:

{| border="1" cellpadding="2"
!width="10%"|System Name
!width="10%"|Short Description
!width="10%"|Main Publications
!width="10%"|Software (if available)
!width="10%"|Results
!width="10%"|Comments (i.e. extra resources used, train/test times, ...)
|-
| SVMTool || SVM Based tagger and tagger generator || [http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf|J esús Giménez and Lluís Márquez . SVMTool: A general POS tagger generator based on Support Vector Machines Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC'04). Lisbon, Portugal. 2004 . ] ||[http://www.lsi.upc.es/~nlp/SVMTool/] || 97.16% Accuracy, Trained on WSJ 0-18, Tested on WSJ 22-24 || ||
|-

|}

System Name | Short Description | Main Publications | Software (if available) | Results | Comments (i.e. extra resources used, train/test times, ...)

POS Tagging (State of the art)

2007-06-16T14:51:45Z

Yoavg:

{| border="1" cellpadding="2"
!width="10%"|System Name
!width="10%"|Short Description
!width="10%"|Main Publications
!width="10%"|Software (if available)
!width="10%"|Results
!width="10%"|Comments (i.e. extra resources used, train/test times, ...)
|-
|
SVMTool || SVM Based tagger and tagger generator || [http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf|J esús Giménez and Lluís Márquez . SVMTool: A general POS tagger generator based on Support Vector Machines Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC'04). Lisbon, Portugal. 2004 . ] ||[http://www.lsi.upc.es/~nlp/SVMTool/] || 97.16% Accuracy, Trained on WSJ 0-18, Tested on WSJ 22-24 || ||
|-

|}

System Name | Short Description | Main Publications | Software (if available) | Results | Comments (i.e. extra resources used, train/test times, ...)

POS Tagging (State of the art)

2007-06-16T14:50:41Z

Yoavg:

{| border="1" cellpadding="2"
!width="10%"|System Name
!width="10%"|Short Description
!width="10%"|Main Publications
!width="10%"|Software (if available)
!width="10%"|Results
!width="10%"|Comments (i.e. extra resources used, train/test times, ...)
|-
|
SVMTool ||
SVM Based tagger and tagger generator ||
[http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf|J esús Giménez and Lluís Márquez . SVMTool: A general POS tagger generator based on Support Vector Machines Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC'04). Lisbon, Portugal. 2004 . ] ||
[http://www.lsi.upc.es/~nlp/SVMTool/] ||
97.16% Accuracy, Trained on WSJ 0-18, Tested on WSJ 22-24 ||
||
|-

|}

System Name | Short Description | Main Publications | Software (if available) | Results | Comments (i.e. extra resources used, train/test times, ...)

POS Tagging (State of the art)

2007-06-16T14:49:58Z

Yoavg:

{| border="1" cellpadding="2"
!width="10%"|System Name
!width="10%"|Short Description
!width="10%"|Main Publications
!width="10%"|Software (if available)
!width="10%"|Results
!width="10%"|Comments (i.e. extra resources used, train/test times, ...)
|-
SVMTool |
SVM Based tagger and tagger generator |
[http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf|J esús Giménez and Lluís Márquez . SVMTool: A general POS tagger generator based on Support Vector Machines Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC'04). Lisbon, Portugal. 2004 . ] |
[http://www.lsi.upc.es/~nlp/SVMTool/] |
97.16% Accuracy, Trained on WSJ 0-18, Tested on WSJ 22-24 |
||
|-

|}

System Name | Short Description | Main Publications | Software (if available) | Results | Comments (i.e. extra resources used, train/test times, ...)

POS Tagging (State of the art)

2007-06-16T14:49:10Z

Yoavg:

{| border="1" cellpadding="2"
!width="10%"|System Name
!width="10%"|Short Description
!width="10%"|Main Publications
!width="10%"|Software (if available)
!width="10%"|Results
!width="10%"|Comments (i.e. extra resources used, train/test times, ...)
|-
SVMTool ||
SVM Based tagger and tagger generator ||
[http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf|J esús Giménez and Lluís Márquez . SVMTool: A general POS tagger generator based on Support Vector Machines Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC'04). Lisbon, Portugal. 2004 . ] ||
[http://www.lsi.upc.es/~nlp/SVMTool/] ||
97.16% Accuracy, Trained on WSJ 0-18, Tested on WSJ 22-24 ||
||
|-

|}

System Name | Short Description | Main Publications | Software (if available) | Results | Comments (i.e. extra resources used, train/test times, ...)

State of the art

2007-06-16T14:34:56Z

Yoavg:

* [[StateOfTheArt POS Tagging|POS Tagging]]
* [[StateOfTheArt NP Chunking|NP Chunking]]
* [[StateOfTheArt Chunking|Chunking]]
* [[StateOfTheArt Named Entity Recognition|Named Entity Recognition]]
* [[StateOfTheArt PP Attachment|PP Attachment]]
* [[StateOfTheArt Anaphora Resolution|Anaphora Resolution]]
* [[StateOfTheArt Parsing|Parsing]]
* [[StateOfTheArt Dependency Parsing|Dependency Parsing]]
* [[StateOfTheArt Semantic Role Labeling|Semantic Role Labeling]]
* [[StateOfTheArt Word Sense Disambiguation|Word Sense Disambiguation]]
* [[StateOfTheArt Document Classification|Document Classification]]
* [[StateOfTheArt Sentiment Analysis|Sentiment Analysis]]

Main Page

2007-06-16T14:34:31Z

Yoavg:

<div id="mainpage"></div>
__NOTOC__

{|style="width:100%;margin-top:+.9em;background-color:#fcfcfc;border:1px solid #ccc"
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|-
|style="width:100%;text-align:center;white-space:nowrap;color:#000" |
<div style="font-size:162%;border:none;margin: 0;padding:.1em;color:#000">Welcome to the Wiki of the [http://www.aclweb.org/ Association for Computational Linguistics]</div>
<div style="top:+0.2em;font-size: 95%">''to facilitate the sharing of information on all aspects of Computational Linguistics''</div>
<div id="articlecount" style="width:100%;text-align:center;font-size:85%;">{{NUMBEROFPAGES}} pages and {{NUMBEROFARTICLES}} articles in the ACL Wiki as of {{CURRENTDAYNAME}}, {{CURRENTMONTHNAME}} {{CURRENTDAY}}, {{CURRENTYEAR}}</div>
<div style="width:100%;text-align:center;font-size:85%;">started on October 18th, 2006</div>
|}

{|style="border-spacing:8px;margin:0px -8px"
|class="MainPageBG" style="width:55%;border:1px solid #cef2e0;background-color:#f5fffa;vertical-align:top;color:#000"|
{|width="100%" cellpadding="2" cellspacing="5" style="vertical-align:top;background-color:#f5fffa"
! <h2 style="margin:0;background-color:#cef2e0;font-size:120%;font-weight:bold;border:1px solid #a3bfb1;text-align:left;color:#000;padding:0.2em 0.4em;">Topics in the ACL Wiki</h2>
|-
|style="color:#000"|
* [[Acronyms]] - the ABCs of CL and NLP
* [[Blogs]] - CL, NLP, linguistics, language
* [[Conferences and workshops]] - where to go and when
* [[Competitions and Challenges|Competitions and challenges]] - mettle testing
* [[Current events]] - news, announcements
* [[Employment opportunities, postdoctoral positions, summer jobs]]
* [[Grants, fellowships, scholarships]]
* [[Journals]] - where to submit your papers
* [[Newsgroups, mailing lists]]
* [[Organizations, departments, institutions, groups, companies|Organizations, departments, institutions, groups, companies, associations]]
* [[Other comprehensive sites]]
* [[People]] - home pages of researchers
* [[Research]] - tutorials, wiki articles, books, papers, bibliographies
* [[Resources]] - corpora, datasets, tools, software, lexicons
* [[List of resources by language|Resources by language]] - lists categorized by language
* [[Special interest groups]]
* [[State Of The Art]] - state-of-the-art software and results for core NLP tasks
* [[Teaching]] - course descriptions
|-
|}
|class="MainPageBG" style="width:45%;border:1px solid #cedff2;background-color:#f5faff;vertical-align:top"|
{| width="100%" cellpadding="2" cellspacing="5" style="vertical-align:top;background-color:#f5faff"
!

<h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">Using the ACL Wiki</h2>
|-
|style="color:#000"|
* [[Special:Statistics|ACL Wiki statistics]]
* [[Guidelines for editing]]
* [[Mandate of the ACL wiki]]
* [[Policies of the ACL wiki]]
* [http://aclweb.org/aclwiki/index.php?title=Special:Recentchanges&feed=rss Recent changes RSS feed]
* [[Using MediaWiki]]
|-
! <h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">Recent additions and updates</h2>
|-
|style="color:#000"|
* [[Competitions and Challenges]]
* [[Conference Chairs]]
* [[Named entity recognizers]]
* [[TOEFL Synonym Questions]]
|-
!

<h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">Sample articles</h2>
|-
|style="color:#000"|
* [[Computational Lexicology]]
* [[Computational Semantics]]
* [[Word Sense Disambiguation]]
|-
|}

State of the art

2007-06-16T14:33:34Z

Yoavg:

[[StateOfTheArt POS Tagging|POS Tagging]]
[[StateOfTheArt NP Chunking|NP Chunking]]
[[StateOfTheArt Chunking|Chunking]]
[[StateOfTheArt Named Entity Recognition|Named Entity Recognition]]
[[StateOfTheArt PP Attachment|PP Attachment]]
[[StateOfTheArt Anaphora Resolution|Anaphora Resolution]]
[[StateOfTheArt Parsing|Parsing]]
[[StateOfTheArt Dependency Parsing|Dependency Parsing]]
[[StateOfTheArt Semantic Role Labeling|Semantic Role Labeling]]
[[StateOfTheArt Word Sense Disambiguation|Word Sense Disambiguation]]
[[StateOfTheArt Document Classification|Document Classification]]
[[StateOfTheArt Sentiment Analysis|Sentiment Analysis]]

State of the art

2007-06-16T14:31:34Z

Yoavg:

[[StateOfTheArt POS Tagging|POS Tagging]]
[[NP Chunking]]
[[Chunking]]
[[Named Entity Recognition]]
[[PP Attachment]]
[[Anaphora Resolution]]
[[Parsing]]
[[Dependency Parsing]]
[[Semantic Role Labeling]]
[[Word Sense Disambiguation]]
[[Document Classification]]
[[Sentiment Analysis]]

State of the art

2007-06-16T14:30:49Z

Yoavg:

[[POS Tagging]]
[[NP Chunking]]
[[Chunking]]
[[Named Entity Recognition]]
[[PP Attachment]]
[[Anaphora Resolution]]
[[Parsing]]
[[Dependency Parsing]]
[[Semantic Role Labeling]]
[[Word Sense Disambiguation]]
[[Document Classification]]
[[Sentiment Analysis]]

Main Page

2007-06-16T14:29:33Z

Yoavg:

<div id="mainpage"></div>
__NOTOC__

{|style="width:100%;margin-top:+.9em;background-color:#fcfcfc;border:1px solid #ccc"
|style="width:56%;color:#000"|
{|style="width:100%;border:solid 0px;background:none"
|-
|style="width:100%;text-align:center;white-space:nowrap;color:#000" |
<div style="font-size:162%;border:none;margin: 0;padding:.1em;color:#000">Welcome to the Wiki of the [http://www.aclweb.org/ Association for Computational Linguistics]</div>
<div style="top:+0.2em;font-size: 95%">''to facilitate the sharing of information on all aspects of Computational Linguistics''</div>
<div id="articlecount" style="width:100%;text-align:center;font-size:85%;">{{NUMBEROFPAGES}} pages and {{NUMBEROFARTICLES}} articles in the ACL Wiki as of {{CURRENTDAYNAME}}, {{CURRENTMONTHNAME}} {{CURRENTDAY}}, {{CURRENTYEAR}}</div>
<div style="width:100%;text-align:center;font-size:85%;">started on October 18th, 2006</div>
|}

{|style="border-spacing:8px;margin:0px -8px"
|class="MainPageBG" style="width:55%;border:1px solid #cef2e0;background-color:#f5fffa;vertical-align:top;color:#000"|
{|width="100%" cellpadding="2" cellspacing="5" style="vertical-align:top;background-color:#f5fffa"
! <h2 style="margin:0;background-color:#cef2e0;font-size:120%;font-weight:bold;border:1px solid #a3bfb1;text-align:left;color:#000;padding:0.2em 0.4em;">Topics in the ACL Wiki</h2>
|-
|style="color:#000"|
* [[Acronyms]] - the ABCs of CL and NLP
* [[Blogs]] - CL, NLP, linguistics, language
* [[Conferences and workshops]] - where to go and when
* [[Competitions and Challenges|Competitions and challenges]] - mettle testing
* [[Current events]] - news, announcements
* [[Employment opportunities, postdoctoral positions, summer jobs]]
* [[Grants, fellowships, scholarships]]
* [[Journals]] - where to submit your papers
* [[Newsgroups, mailing lists]]
* [[Organizations, departments, institutions, groups, companies|Organizations, departments, institutions, groups, companies, associations]]
* [[Other comprehensive sites]]
* [[People]] - home pages of researchers
* [[Research]] - tutorials, wiki articles, books, papers, bibliographies
* [[Resources]] - corpora, datasets, tools, software, lexicons
* [[List of resources by language|Resources by language]] - lists categorized by language
* [[Special interest groups]]
* [[Teaching]] - course descriptions
* [[State Of The Art]] - state-of-the-art software and results for core NLP tasks
|-
|}
|class="MainPageBG" style="width:45%;border:1px solid #cedff2;background-color:#f5faff;vertical-align:top"|
{| width="100%" cellpadding="2" cellspacing="5" style="vertical-align:top;background-color:#f5faff"
!

<h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">Using the ACL Wiki</h2>
|-
|style="color:#000"|
* [[Special:Statistics|ACL Wiki statistics]]
* [[Guidelines for editing]]
* [[Mandate of the ACL wiki]]
* [[Policies of the ACL wiki]]
* [http://aclweb.org/aclwiki/index.php?title=Special:Recentchanges&feed=rss Recent changes RSS feed]
* [[Using MediaWiki]]
|-
! <h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">Recent additions and updates</h2>
|-
|style="color:#000"|
* [[Competitions and Challenges]]
* [[Conference Chairs]]
* [[Named entity recognizers]]
* [[TOEFL Synonym Questions]]
|-
!

<h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">Sample articles</h2>
|-
|style="color:#000"|
* [[Computational Lexicology]]
* [[Computational Semantics]]
* [[Word Sense Disambiguation]]
|-
|}