Difference between revisions of "State of the art"

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[[StateOfTheArt POS Tagging|POS Tagging]]
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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.
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[[NP Chunking]]
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[[Chunking]]
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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 need a system for PP attachment, or wonder what is the current state of word sense disambiguation, this will be the place to visit.
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[[Named Entity Recognition]]
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[[PP Attachment]]
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Please contribute! (This is also a good place for you to display your results!)
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[[Anaphora Resolution]]
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[[Parsing]]
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As a historical point of reference, you may want to refer to the [http://web.archive.org/web/20100325144600/http://cslu.cse.ogi.edu/HLTsurvey/ Survey of the State of the Art in Human Language Technology] ([http://www.lt-world.org/hlt_survey/master.pdf also available as PDF]), edited by R. Cole, J. Mariani, H. Uszkoreit, G. B. Varile, A. Zaenen, A. Zampolli, V. Zue, 1996.
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[[Dependency Parsing]]
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[[Semantic Role Labeling]]
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<!-- Please keep this list in alphabetical order -->
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[[Word Sense Disambiguation]]
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* [[Analogy (State of the art)|Analogy]] -- [[SAT Analogy Questions (State of the art)|SAT]],  [[SemEval-2012 Task 2 (State of the art)|SemEval-2012 Task 2]], [[Syntactic Analogies (State of the art)|Syntactic Analogies]], [[Google analogy test set (State of the art)|Google analogy test set]], [[Bigger analogy test set (State of the art)|Bigger analogy test set]]
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[[Document Classification]]
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* [[Anaphora Resolution (State of the art)|Anaphora Resolution]] (stub)
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[[Sentiment Analysis]]
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* [[Automatic Text Summarization (State of the art)|Automatic Text Summarization]] (stub)
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* [[Chunking (State of the art)|Chunking]] (stub)
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* [[Dependency Parsing (State of the art)|Dependency Parsing]] (stub)
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* [[Document Classification (State of the art)|Document Classification]] (stub)
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* [[Language Identification (State of the art)|Language Identification]] (stub)
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* [[Named Entity Recognition (State of the art)|Named Entity Recognition]]
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* [[Noun-Modifier Semantic Relations (State of the art)|Noun-Modifier Semantic Relations]]
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* [[NP Chunking (State of the art)|NP Chunking]]  
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* [[Paraphrase Identification (State of the art)|Paraphrase Identification]]
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* [[Parsing (State of the art)|Parsing]]
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* [[POS Induction (State of the art) |POS Induction]]
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* [[POS Tagging (State of the art) |POS Tagging]]
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* [[PP Attachment (State of the art)|PP Attachment]] (stub)
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* [[Question Answering (State of the art)|Question Answering]]
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* [[Semantic Role Labeling (State of the art)|Semantic Role Labeling]] (stub)
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* [[Sentiment Analysis (State of the art)|Sentiment Analysis]] (stub)
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* [[Similarity (State of the art)|Similarity]] -- [[ESL Synonym Questions (State of the art)|ESL]], [[SAT Analogy Questions (State of the art)|SAT]], [[TOEFL Synonym Questions (State of the art)|TOEFL]], [[RG-65 Test Collection (State of the art)|RG-65 Test Collection]], [[MC-28 Test Collection (State of the art)|MC-28 Test Collection]], [[WordSimilarity-353 Test Collection (State of the art)|WordSimilarity-353]], [[SemEval-2012 Task 2 (State of the art)|SemEval-2012 Task 2]]
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* [[Speech Recognition (State of the art)|Speech Recognition]] (article request)
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* [[Temporal Information Extraction (State of the art)|Temporal Information Extraction]]
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* [[Cleaneval (State of the art)| Web Corpus Cleaning]] (stub)
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* [[Word Segmentation (State of the art)|Word Segmentation]] (stub)
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* [[Word Sense Disambiguation (State of the art)|Word Sense Disambiguation]] (stub)
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<!-- Please keep this list in alphabetical order -->
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[[Category:State of the art]]

Revision as of 20:27, 6 January 2017

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 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!)

As a historical point of reference, you may want to refer to the Survey of the State of the Art in Human Language Technology (also available as PDF), edited by R. Cole, J. Mariani, H. Uszkoreit, G. B. Varile, A. Zaenen, A. Zampolli, V. Zue, 1996.

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