GATE track 1 session: Difference between revisions

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{{Wiki_List |
A full week of learning [http://en.wikipedia.org/wiki/General_Architecture_for_Text_Engineering GATE] text mining/information extraction language processing and talks. [http://gate.ac.uk/wiki/TrainingCourseAug2010/ Session wiki]
wiki_name  =                ComposerPlanet                                          |
 
wiki_logo =                  [[Image:NoLogo.png]]                                   |
[[File:GATE_screenshot.png|900px|GATE developer screenshot]]
wiki_URL =                 http://composerplanet.com/                                                                       |
 
wiki_recentchanges =       http://www.composerplanet.com/cgi-bin/wiki.cgi?RecentChanges                                      |
GATE is written in Java and very Java centric. This makes it portable, fast, and heavyweight. A programming library is available.  It's 14 years old and has many users and contributors.
wiki_status =               Active                    |
 
wiki_lastreviewed =       16-Jan-06                  |
= Using GATE developer =
wiki_language =             English                    |
 
wiki_editmode =             OpenEdit            |
* GATE developer is used to process sets of Language Resources in Corpus using Processing Resources. They are typically saved to a serialized Datastore.
wiki_engine =               Unknown                        |
* ANNIE, VG (verb group) processors.
wiki_maintopic =            Music
* Preserve formatting embeds tags in HTML or XML.
}}
** Different strengths using GATE's graph (node/offset) based XML vs. preserved formatting (original xml/html)
==Description==
 
Deals with aspects of music and composing
= Information Extraction =
 
* IR - retrieve docs
* IE - retreive structured data
 
* Knowledge Engineering - rule based
* Learning Systems - statistical
 
Old Bailey IE project  - 17th century english (Online)
 
* POS - assigned in Token (noun, verb, etc)
 
* Gazateer - gotcha, have to set initialization parameter listsURL before it's loaded. Must also "save and reinitialize."
* Gazeteer creates Lookups, then transducer creaties named entities
* Then orthomatcher (spelling features in common) coreference associates those
 
* Annotation Key sets and annotation comparing
** Need setToKeep key in Document Reset for any pre annotated texts
 
== Evaluation / Metrics ==
 
* Evaluation metric - mathematically against human annotated
* Scoring - performance measures for annotation types
 
* Precision = correct / correct + spurious
* Recall = correct / correct + missing
* F-measure is precision and recall (harmonic mean)
* F=2⋅(precision⋅recall / precision+recall)
* GATE supports average, strict, lenient
 
* Result types - Correct, missing, spurious, partially correct (overlapped)
 
* Tools > Annotations Diff - comparing human vs machine annotation
 
* Corpus > Corpus quality assurance - compare by type
* (B has to be the generated set)
 
* Annotation set transfer (in tools) - transfer between docs in pipeline
** useful for eg HTML that has boilerplate
 
 
== To investigate ==
 
* markupAware for HTML/XML (keeps tags in editor)
* AnnotationStack
* Advanced Options
 
= JAPE =
 
* Rules based on tokens and lookups
 
Phase: MatchingStyles
Input: Lookup
Options: control = appelt
Rule: Test1
(
({Lookup.majorType == location})?
{Lookup.majorType == loc_key}
):match
-->
  :match.Location = {rule=Test1}
 
Copying features: :match.Location = { type = :match.Lookup.minorType}
 
== To review, gotchas ==
 
* Rule types : first takes only first match, excludes compound
** a? b for "a b" will match "a b"
* multiplexor tranducers
* multi-constraint statements
* macros
* To reuse created annotations has to be a separate rule
 
=== Matching types ===
 
[[File:gate-matching.png|800px|Matching styles for JAPE]]
 
= To follow up =
 
* WebSphinx crawler CREOLE plugin
* [http://www.semanticsoftware.info/semantic-assistants-architecture GATE NLP web services]
 
= Other notes =
 
== Lucene data store and ANNIC ==
 
* Use <null> for default set
* Go to Datastore for queries
** eg {Person}({Token})+{Money}
* Useful for debugging JAPE and results
 
[[File:GATE-lucene-person-money.png|800px]]
 
= Demos =
 
* Mímir for querying large volumes of data (uses MG4J)
* Translating parts of speech between languages using Compound editor and Alignment editor
* Predicate extractor (MultiPaX)
** Mixed results at best
* OwlExporter
** NLP ontology
 
= Conclusions =
 
While it can do a lot out of the box and benefits from development time and breadth of connectivity, to be useful to more than patient specialists, it needs usability testing. A lot of things are inobvious and too domain specific that with a bit of work could be more broadly useful. Interaction could include a lot more immediate, useful and interesting looking displays. A web based version could have these features. However the team seems somewhat ambivalent about development. :)
 
Looking forward to learning about programming using GATE libraries.
 
{{Blikied|Aug 30, 2010}}
 
[[Category:SemWeb]]

Latest revision as of 01:10, 10 September 2010

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