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1
Learning from syntax generalizations for automatic semantic annotation
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2
P.: Multilingual conceptual dictionaries based on ontologies
In: http://www.e-p-a-p.com/dlib/9788883980466/art12.pdf (2007)
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3
Role-based semantics for agent communication: Embedding of the mental attitudes and social commitments semantics
In: http://www.di.unito.it/~guido/PS/aamas06b.pdf (2006)
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4
A plan based agent architecture for interpreting natural language dialogue
In: http://www.di.unito.it/~guido/articoli/98-ijhcs00.pdf (2000)
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5
A Plan Based Agent Architecture for Interpreting Natural Language Dialogue
In: http://www.di.unito.it/~liliana/ijhcs2000-per-www.ps.gz (2000)
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6
Social Goals in Conversational Cooperation
In: http://www.di.unito.it/~gull/PS/sigdial.ps (2000)
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7
Social goals in conversational cooperation
In: http://www.sigdial.org/workshops/workshop1/proceedings/boella.pdf (2000)
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8
Social Goals in Conversational Cooperation
In: http://acl.ldc.upenn.edu/W/W00/W00-1010.pdf (2000)
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9
Mental Models and Pragmatics: The Case of Presuppositions
In: http://www.di.unito.it/~gull/PS/pres.ps (1999)
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10
Beating a Donkey: a Mental Model Approach to Complex Anaphoric Phenomena
In: http://www.di.unito.it/~gull/PS/donkey.ps (1999)
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11
Plan-based Event Representations for the Analysis of Tense and Aspect
In: http://www.di.unito.it/~gull/PS/aspetto.ps (1999)
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12
Automatic refinement of Linguistic rules for tagging
In: http://www.di.unito.it/%7Eguido/articoli/CONFERENZE/lrec98.pdf (1998)
Abstract: This paper describes an approach to POS tagging based on the automatic refinement of manually written linguistic tagging rules. The refinement was carried out by means of a learning algorithm based on decision trees. The tagging rules work on ambiguity classes: each input word undergoes a morphological analysis and a set of possible tags is returned. The set of tags determines the ambiguity class: the suitable subset of tagging rules is applied and a single tag is returned. This method can be applied both with the original set of manual rules and with the set of refined rules. The experiments have been performed on the Italian language. The results show that the refined set reduces the tagging error of about 17%. The noticeable feature of the approach is that the original set of rules is not modified, so that they retain their linguistic value, but new rules are added to handle problematic cases.
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.799.6962
http://www.di.unito.it/%7Eguido/articoli/CONFERENZE/lrec98.pdf
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13
Recognition of Problem-solving Plans in Dialogue Interpretation
In: http://www.um.org/./um_96/problem_solving_plans.ps.gz (1996)
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14
Recognition of Problem-solving Plans in Dialogue Interpretation
In: http://www.di.unito.it/~gull/PS/um96.ps (1996)
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15
Indirect speech acts and politeness: A computational approach
In: http://www.di.unito.it/~guido/articoli/CONFERENZE/cogsci95.pdf (1995)
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16
Indirect Speech Acts and Politeness: A Computational Approach
In: http://www.di.unito.it/~gull/PS/cs95.ps (1995)
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17
Recognizing Preliminary Sentences in Dialogue Interpretation
In: http://www.di.unito.it/~gull/PS/aiia95.ps (1995)
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18
Extracting Definitions and Hypernym Relations relying on Syntactic Dependencies and Support Vector Machines
In: http://aclweb.org/anthology/P/P13/P13-2095.pdf
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19
Supervised Learning of Syntactic Contexts for Uncovering Definitions and Extracting Hypernym Relations in Text Databases
In: http://ecmlpkdd2013.org/wp-content/uploads/2013/07/118.pdf
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20
Multilingual Conceptual Dictionaries Based on Ontologies: Analytical Tools and Case Studies
In: http://www.di.unito.it/~guido/PS/Lesmo-Boella-Mazzei-Rossi.pdf
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