Reference Resolution And Cognitive Grammar Susanne Salmon-Alt Laurent Romary Loria - Nancy, France ICCS-01 San Sebastian, May 2001.

Slides:



Advertisements
Similar presentations
National Accessible Reading Assessment Projects Defining Reading Proficiency for Accessible Large Scale Assessments Principles and Issues Paper American.
Advertisements

Cognitive Approaches to Grammatical Forms Gui Shichun (based on Croft & Cruse)
Referring Expressions: Definition Referring expressions are words or phrases, the semantic interpretation of which is a discourse entity (also called referent)
March 1, 2009 Dr. Muhammed Al-Mulhem 1 ICS 482 Natural Language Processing Semantics (Chapter 17) Muhammed Al-Mulhem March 1, 2009.
First-Order Logic (and beyond)
1 FUNCTION MODELING USING IDEF-0 IE 590 INTEGRATED MANUFACTURING SYSTEMS Lecture 7.
Language Use and Understanding BCS 261 LIN 241 PSY 261 CLASS 12: BRANIGAN ET AL.: PRIMING.
Cognitive Linguistics Croft&Cruse
Cognitive Linguistics Croft & Cruse 9
INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING NLP-AI IIIT-Hyderabad CIIL, Mysore ICON DECEMBER, 2003.
Chapter 1 Introduction. “How do I send picture by ?” “Click on Attach button, or paper clip icon, select the picture and click attach” The instructions.
Using the Semantic Web to Construct an Ontology- Based Repository for Software Patterns Scott Henninger Computer Science and Engineering University of.
OASIS Reference Model for Service Oriented Architecture 1.0
I1-[OntoSpace] Ontologies for Spatial Communication John Bateman, Kerstin Fischer, Reinhard Moratz Scott Farrar, Thora Tenbrink.
Object-Oriented Analysis and Design
SSP Re-hosting System Development: CLBM Overview and Module Recognition SSP Team Department of ECE Stevens Institute of Technology Presented by Hongbing.
Language, Mind, and Brain by Ewa Dabrowska Chapter 10: The cognitive enterprise.
Sensemaking and Ground Truth Ontology Development Chinua Umoja William M. Pottenger Jason Perry Christopher Janneck.
Knowledge Acquisitioning. Definition The transfer and transformation of potential problem solving expertise from some knowledge source to a program.
Requirements Analysis Concepts & Principles
Albert Gatt LIN 3098 Corpus Linguistics. In this lecture Some more on corpora and grammar Construction Grammar as a theoretical framework Collostructional.
35 years of Cognitive Linguistics Session 8: Cognitive Grammar
Computational Thinking The VT Community web site:
Ontology Development in the Sciences Some Fundamental Considerations Ontolytics LLC Topics:  Possible uses of ontologies  Ontologies vs. terminologies.
Guide to Simulation Run Graphic: The simulation runs show ME (memory element) activation, production matching and production firing during activation of.
Working group on multimodal meaning representation Dagstuhl workshop, Oct
Semantic data model
1 Brief Review of Research Model / Hypothesis. 2 Research is Argument.
Ecological Interface Design
Experiments on Building Language Resources for Multi-Modal Dialogue Systems Goals identification of a methodology for adapting linguistic resources for.
IPN Leibniz Institute for Science Education at the University of Kiel Reacting to challenges for the research in mathematics education: case studies of.
Towards multimodal meaning representation Harry Bunt & Laurent Romary LREC Workshop on standards for language resources Las Palmas, May 2002.
1 Special Electives of Comp.Linguistics: Processing Anaphoric Expressions Eleni Miltsakaki AUTH Fall 2005-Lecture 2.
Cognitive Science Overview Cognitive Apprenticeship Theory.
A Context Model based on Ontological Languages: a Proposal for Information Visualization School of Informatics Castilla-La Mancha University Ramón Hervás.
The interface between model-theoretic and corpus-based semantics
A comprehensive framework for multimodal meaning representation Ashwani Kumar Laurent Romary Laboratoire Loria, Vandoeuvre Lès Nancy.
LECTURE 2: SEMANTICS IN LINGUISTICS
Referring to Objects with Spoken and Haptic Modalities Frédéric LANDRAGIN Nadia BELLALEM & Laurent ROMARY LORIA Laboratory Nancy, FRANCE.
Week III  Recap from Last Week Review Classes Review Domain Model for EU-Bid & EU-Lease Aggregation Example (Reservation) Attribute Properties.
Human Factors In Visualization Research Melanie Tory and Torsten Moller Ajith Radhakrishnan Nandu C Nair.
1 Discussion of: Discourse Referents and External Anchors in Developmental Thought by Josef Perner Alan Garnham Psychology University of Sussex
FORSVARETS FORSKNINGSINSTITUTT Transformation of geographical information into linguistic sentences: Two case studies Jan Terje Bjørke.
TMF - Terminological Markup Framework Laurent Romary Laboratoire LORIA (CNRS, INRIA, Universités de Nancy) ISO meeting London, 14 August 2000.
ICT EMMSAD’05 13/ Assessing Business Process Modeling Languages Using a Generic Quality Framework Anna Gunhild Nysetvold* John Krogstie *, § IDI,
ESDI Workshop on Conceptual Schema Languages and Tools
INFO 414 Information Behavior Theoretical foundations, frameworks and paradigms.
Architecture View Models A model is a complete, simplified description of a system from a particular perspective or viewpoint. There is no single view.
Problem solving in control of discrete-event systems Lenko Grigorov and Karen Rudie Queen’s University Kingston, Canada.
Software Engineering Lecture 10: System Engineering.
COURSE AND SYLLABUS DESIGN
MBI 630: Week 9 Conceptual Data Modeling and Designing Database 6/10/2016.
Figure and Ground Part 2 APLNG 597C LEJIAO WANG 03/16/2015.
Knowing What Students Know Ganesh Padmanabhan 2/19/2004.
Universiteit Twente Juggling Word Graphs A method for modeling the meaning of sentences using extended knowledge graphs.
Interactive Task Learning: Language Processing for Rosie John E. Laird and Peter Lindes University of Michigan 1.
Knowledge Representation Techniques
Visual Information Retrieval
Cognitive Language Processing for Rosie
The Semiotic Engineering of Human-Computer Interaction Section I Foundation Chapter 1 Introduction.
Kenneth Baclawski et. al. PSB /11/7 Sa-Im Shin
International Research and Development Institute Uyo
Advanced Database Models
Prepared by: Toni Joy Thurs Atayoc, RMT
CSc4730/6730 Scientific Visualization
Introducing Domain and Typing Bias in Automata Inference
Semantic Markup for Semantic Web Tools:
Pragmatics: Reference and inference
Data Analysis, Interpretation, and Presentation
Presentation transcript:

Reference Resolution And Cognitive Grammar Susanne Salmon-Alt Laurent Romary Loria - Nancy, France ICCS-01 San Sebastian, May 2001

General context Computational objectives Designing man-machine dialogue systems with graphical user feedback and gestural designation –Allowing the user to express himself spontaneously Linguistic objectives Deriving a model that widely covers the range of possible referring expressions and their use in context –Narrowing the discrepancy between computational models and linguistic descriptions Can a cognitive model be a means to achieve this?

Reference Resolution Referring expressions Context model World: perception and gestures Interpretation ? Evolution of the context Take a big circle. Okay, and now put a small line on the left. Dont stick it to the circle. hearer puts a circle on the screen... hearer puts a line on the screen...

Reference Resolution Associate referring expressions to identifying representations for contextual objects C1 C2 C3 Reference Resolution Take a big circle. Okay, and now put a small line on the left. Dont stick it to the circle. {L2} {C1} {L2} {C1} Referring expressionContext modelReferents L1 L2 L3

The general background Observations: reference in task-oriented dialogues –A wide variety of referring expressions: indefinites, definites, demonstratives, pronouns –Both anaphoric and deictic uses Modeling work is generally reduced to pronoun resolution –E.g. Centering (Grosz et al., 1995), Mitkov (1998) Specificity of anaphoric expressions? –DRT / S-DRT: no essential difference between pronouns and definites (linking as the main mechanism) How to integrate demonstratives (+gestures)?

Reference = Linking ? Current strategies are basically co-referential –if indefinite : introduce a new discourse referent –if anaphoric : filter the context model on semantic constraints and choose a suitable referent Problems –empirically inappropriate for definites (Poesio &Vieira, 1998) –need of some additional mechanisms for...

Difficulties with Linking Bridging Take a triangle. Color the base in blue one-anaphora The green block supports the big pyramid, but not the red/small one. ordinals and other-expressions Take two lines. Move one line to the left. Delete the other line. visual information Delete the triangle. Need of cognitive structures rather than (or in complement to) of discourse variables

Cognitive Grammar (1) Theoretical foundations (Langacker 1986, 1991) –language not self-contained, but part of cognitive processing –speakers knowledge : inventory of symbolic units (phonological and semantic pole) –semantic structures characterized relative to presupposed « cognitive domains » (concepts, perceptual experiences, knowledge systems)

Cognitive Grammar (2) Semantic structure of nouns roof Abstract schema: Delimitation of a region in some domain Instantiation: Profiling a sub-structure of one (ore more) presupposed domains knife NOUN

Cognitive Grammar (3) tr lm horizontal [ ON THE LEFT OF] [ THE LINE ON THE LEFT OF THE CIRCLE ] Meaning (not truth-conditional): assembly and profiling of semantic units Atemporal relationAssembly and profiling [ LINE ] [ CIRCLE ]

Suitability Interesting properties : interpretation of NPs –not linking, but profiling within a given domain => encompasses all kind of anaphoric expressions –conceptual domains not primarily linguistic constructs => reference to percepual entities, gestures –meaning = imposing a profile on a domain => prediction of preferred referential access : The green block supports the big pyramid, but not the red/small one. Problem : formalisation

The Model Overview abstract schema for determiners abstract schema for nouns complex schema for noun phrases selected domain restructured domain context model (domains) Assembly of abstract schemas Search for a suitable conceptual domain Profiling of a region of the domain Calculus of an underspecified domain Unification with a domain of the context model Focusing an item of a partition of the domain

The Context Model (1) Basic units : Type = TRIANGLE Card = 1 Properties = {(size: Type = FIGURE Card = 2 Properties = {(size: small)} Diff-Crit = Type @C1 Type = CIRCLE Card = Type =LINE Card = 1

The Context Model Type = FIGURE Card = 2 Properties = {(size: small)} Diff-Crit = Type CIRCLE Type = CIRCLE Card = Type =LINE Card = 1 THE LINE ON THE LEFT OF THE Grouping –Triggers co-ordination prepositions argument structure perceptual criteria –Result partitioned domain common type differentiation criterion focus structure

N Underspecified Domains (1) abstract schema for determiners abstract schema for nouns complex schema for noun phrases Determiner semantics: grounding (how to locate the thing within the given domain) Noun semantics: delineate an item of a partitioned domain Indefinite NPs « a N » (a line) Noun semantics: delineate an item of type N within a domain Determiner semantics: the item is located within a domain of elements of type N NN Type = N

N Underspecified Domains (2) abstract schema for nouns abstract schema for determiners complex schema for noun phrases Determiner semantics: grounding (how to locate the thing within the given domain) Noun semantics: delineate an item of a partitioned domain Definite NPs « the N » (the line) Noun semantics: delineate an item of type N within a domain Determiner semantics: the item is located within a domain of elements of a super-type of N ¬N Type > N

Underspecified Domains (3) abstract schema for nouns abstract schema for determiners complex schema for noun phrases Determiner semantics: grounding (how to locate the thing within the given domain) Noun semantics: delineate an item of a partitioned domain Pronouns it Pronoun semantics: delineate an item of a partitioned domain Determiner semantics: Ø (the item has to be located from its focal position focus) Type = ?

Restructuration (1) underspecified domain selected domain restructured domain context model (domains) Profiling of a region in the domain Focusing one item of the partition Type = N N N NN N N Type = N Indefinites « a N »

Restructuration (2) underspecified domain selected domain restructured domain context model (domains) Profiling of a region in the domain Focusing item N of the partition Type > N N ¬ N ¬NN¬N Type > N Definites the N

Restructuration (3) underspecified domain selected domain restructured domain context model (domains) Profiling of a region in the domain No change Type= ? Pronouns « it » Type = ?

Application - Example Take a big circle. Okay, and now put a small line on the left. Dont stick it to the circle. Type = CIRCLE Prop = C4C3C2C1 Type = LINE Prop = L4L3L2L1 Type = ?... a big circle Type = ?... a small line Type = CIRCLE Prop = C4C3C2C1 Type = CIRCLE Prop = Type = LINE Prop = L4L3L2L1 Type = LINE Prop = Type = FIGURE CD = Type CD = C1L1 Type = ?... it Type = FIGURE CD = CIRCLE¬CIR. the circle

Discussion Single mechanism for different kinds of reference –not linking, but extraction bridging, one-anaphora, other-expressions integrated treatment of demonstratives (cf. full paper) takes into account visual information (required for dialogues) Formalization of Cognitive Grammar –Implementation into a real dialogue platform –Partial validation on a corpus of human dialogues other-expressions –Being even for formal Expressing the constraints in the framework of S-DRT