LIRICS WP2

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LIRICS WP2 NLP Lexica
Monica Monachini monica.monachini_at_ilc.cnr.it CNR-I
LC - Pisa 23rd May 2006
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Summary of the presentation

• Overview of WP2
• 1 year objectives
• Main results in T2.1 and T2.2
• Work done
• Synergies with other LIRICS WPs, ISO activities,
  meetings
• Priorities for future activities

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WP2 overall objective

• Define a family of standards for NLP lexicons
• Two-level standards
• the high level specifications provide structural
  elements, i.e. lexical classes and relations
  between them, the meta-model
• the low level specifications provide standardized
  constants, i.e. data categories used to adorn
  the lexical classes ? ISO 12620

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WP 2 T2.1 overview and objectives
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WP 2 T2.1 results

• Proposal for a unified set of lexical
  information and unified descriptors as draft set
  of Data Categories
• Maximum set of candidate lexical data categories
  subdivided along the layers of linguistic
  description morphosyntax, syntax and semantics.
• Data Categories shared between WP2 and WP3
  relevant to Morphosyntactic description have been
  incorporated in the Syntax Tool the
  Morphosyntactic Profile.

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WP2 T2.1 Deliverables
  1st year 1st year 1st year 1st year 1st year 1st year 1st year 1st year 1st year 1st year 1st year 1st year 2nd year 2nd year 2nd year 2nd year 2nd year 2nd year 2nd year 2nd year 2nd year 2nd year 2nd year 2nd year 3rd year 3rd year 3rd year 3rd year 3rd year 3rd year
  M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 M12 M13 M14 M15 M16 M17 M18 M19 M20 M21 m22 M23 M24 M25 M26 M27 M28 M29 M 3 0
WP2                                                            
T2.1                                                            
T2.2                                               I            
T2.3                                         I                  
D.2.1 Survey and evaluation of existing standard
for Lexica D.2.1 Survey and evaluation of
existing standard for Lexica (revision) (version
foreseen in conjunction with Data Cats to be
issued togetherwith the data model in T2.2)
D.2.1 Survey and evaluation of existing standard
for Lexica
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WP2 T2.2 overview and objectives

• Define a lexical framework, a general and
  abstract meta-model as a set of structural nodes
  relevant for lexical description, enabling
  specific implementations on the basis of common
  Data Categories
• Definition of the common set of related Data
  Categories

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WP2 T2.2 results

• Formulation of a high-level lexical meta-model,
  the Lexical Markup Framework, a flexible
  environment for user-defined mark-up languages
• Proof-of-concepts mapping exercises of well
  known NLP lexicon practices against the model

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WP2 T2.2 Deliverables
  1st year 1st year 1st year 1st year 1st year 1st year 1st year 1st year 1st year 1st year 1st year 1st year 2nd year 2nd year 2nd year 2nd year 2nd year 2nd year 2nd year 2nd year 2nd year 2nd year 2nd year 2nd year 3rd year 3rd year 3rd year 3rd year 3rd year 3rd year
  M1 M2 MM3 M4 M5 M6 M7 M8 M9 M10 M11 M12 M13 M14 M15 M16 M17 M18 M19 M20 M21 m22 M23 M24 M25 M26 M27 M28 M29 M 3 0
WP2                                                            
T2.1                                                            
T2.2                                               I            
T2.3                                         I                  
NLP Lexica standard for CD ballot (submitted
beginning year 06)
NLP Lexica standard for ISO DIS ballot
Internal milestone for internal quality control
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WP2 Activities, Meetings, Synergies...

• LIRICS WPs BI- TRI-LATERAL Working Meetings
• CNR-ILC MPI, 15.2.2005 PAROLE-SIMPLE lexical
  architecture and LEXUS tool
• WP2 internal meeting, 16.2.2005 basic structure
  of the meta-model for lexicons (core model
  extensions)
• CNR-ILC DFKI, 5.5.2005 convergences between
  morpho-syntactic and syntactic data issues for
  the submission of the N W I on Syntax (SynAF) to
  ISO
• Pisa, 23-24.11.2005. WP2 internal meeting basic
  structure of the meta-model for representation of
  Multiword expressions
• LIRICS Meetings
• Paris, 16-17.3.2005. Progress of work within WP2.
  Presentation of the standard core model for
  lexicons and the extensions for NLP lexicons
• Barcelona, 21-22.6.2005. LIRICS Industrial
  Advisory Board Meeting
• Barcelona, 22.6.2005 Presentation of first bulk
  of information relevant for lexical description
• Nancy, 8-9.12.2005. WP4 TDG3 Workshop
  connections between lexico-semantic
  representation and semantic roles in lexicon
• ISO Meetings
• Berlin 8-9.4.2005. ISO TC37/SC4 WG4 Meetings
• Warsaw 21-26.08.05. Plenary meeting of ISO
  TC37/SC4. Task force for the purpose of
  designating generic data category sets for
  alignment with with the level of the metamodel
  task force related to the representation of MWEs.
• Rome 27.10.2005. UNI-DIAM Commission candidature
  of Italy as P-member in ISO TC37/SC4 (CNR-ILC
  reference expert)

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What is LMF for?

• provide a common model for the creation and use
  of lexical resources
• manage the exchange of data between and among
  these resources
• enable the merging of electronic resources to
  form extensive global resources.
• Range of topics
• monolingual,
• bilingual
• multilingual lexical resources
• Scalability
• the same specifications are to be used for both
  small and large lexicons
• Coverage
• linguistic description range from morphology,
  syntax, semantic to multilingual representation
• languages are not restricted to European
  languages
• the range of targeted NLP applications is not
  restricted.

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Future activities/Priorities/Plans

• Data Categories
• deliver rev 2 of D2.1 candidate data categories
  will receive the necessary adjustments after
  discussion
• extend the ISO Registry to cover further layers
  of linguistic description do we need an ISO
  Syntactic Profile (Bejin)?
• LMF model
• refine the NLP multilingual and MWE extensions
• XML representation of LMF linguistic objects in
  order to allow unified access to LMF conformant
  lexicons through APIs
• Provide implementation of test suite lexical
  entries PAROLE-SIMPLE lexicons ready to be
  described according to LMF (LEXUS), to be put in
  the LMF server and made accessible via the web.

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Structure of LMF
Structural skeleton, with the basic hierarchy of
information in a lexical entry
extend a subset of core-model classes are
conformant to the core model cannot be used
regardless to the core model
LMF specifications comply with modeling UML
principles
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Core package
Container for managing the top level language
components. The number of words or MWe of the
lexicon is equal to the number of lexical entries
in a given lexicon.
It is a cross-reference pivot that can link to
many Lexical Entries within or across Lexicons.
Form consists of a text string that represents a
single word or a multi-word expression
One to many Representation Frames can be
associated with Form, each of which contains a
form and data categories that specify the
orthographic types and name of the word
Sense specifies or disambiguates the meaning and
context of a form
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Package for extensional morphology
1st strategydescribe the morphologyrepresenting
explicitly all inflections
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Package for inflectional paradigm
2nd strategy declare an inflectional paradigm
use the inflectional paradigm extension for
defining it
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Package for NLP syntax
Syntactic behavior represents one of the
behaviors of one (or more) senses
Construction describes one syntactic construction
and can be shared by all words with the same
syntactic behavior
Self refers to the head lexical entry and
describes syntactic properties
Syntactic Argument describes a syntactic actant
ConstructionSet regroups together various
Syntactic Constructions and factorizes syntactic
descriptions to have a minimum of syntactic
behavior elements in the lexicon.
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XML representation
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Package for NLP semantics
Predicative Representation describes the link
between Sense and Semantic Predicate
Semantic Predicate describes an abstract meaning
Semantic Argument describes a semantic actant and
is linked with its syntactic counterpart
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Package for NLP semantics (cont.)
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XML representation
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Package for NLP semantics (cont.)
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Package for Multilingual representation
Sense Axis Relation describes the linking between
two different Sense Axis
Source and TargetTest permit to express
conditions about the translation on the
source/target language side
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Package for Multiword expressions