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[PDF] Top 20 Automated Planning for Situated Natural Language Generation

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Automated Planning for Situated Natural Language Generation

Automated Planning for Situated Natural Language Generation

... one of the best-performing systems of the GIVE-1 Challenge. Baseline B, like the original “Austin” system, issues navigation instructions by precom- puting the shortest path from the IF’s current lo- cation to the ... See full document

10

A Parallel Corpus of Python Functions and Documentation Strings for Automated Code Documentation and Code Generation

A Parallel Corpus of Python Functions and Documentation Strings for Automated Code Documentation and Code Generation

... true natural language as a code description, resulting in code fragments and descriptions being similar and easy to ...code generation as typically done by human programmers, and may be thus of ... See full document

6

Enhancement of natural language processing approach for automated generation of object constraint language

Enhancement of natural language processing approach for automated generation of object constraint language

... Usability is a key characteristic of a modeling language. The usability characteristic depends on some factors such as ease of learning, ease of use, efficiency, time needed to perform a task, productivity, amount ... See full document

43

Semi Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models

Semi Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models

... Natural Language Generation (NLG) is an NLP task that consists in generating a sequence of nat- ural language sentences from non-linguistic ...sentence planning and surface realization ... See full document

11

Guided Neural Language Generation for Automated Storytelling

Guided Neural Language Generation for Automated Storytelling

... plot generation attempt to learn how to generate novel plots from a corpus of natural language plot ...plot generation and and allows one to de- compose the problem into: (1) the ... See full document

10

An Information Structural Approach To Spoken Language Generation

An Information Structural Approach To Spoken Language Generation

... The task of natural language generation NLG has often been divided into three stages: content planning, in which high-level goals are satisfied and discourse structure is determined, sen[r] ... See full document

8

Natural Language Generation as Planning Under Uncertainty for Spoken Dialogue Systems

Natural Language Generation as Planning Under Uncertainty for Spoken Dialogue Systems

... through planning a sequence of lower- level generation steps or actions, for example first to summarize all the items and then to recommend the highest ranking ... See full document

9

Scaling a Natural Language Generation System

Scaling a Natural Language Generation System

... realistic generation tasks? For exam- ple, we would like STRUCT to be able to generate any sentence from the Wall Street Journal (WSJ) corpus (Marcus et ...median generation time of ...for planning- ... See full document

10

Automated Test Script Generation from Natural Language Query

Automated Test Script Generation from Natural Language Query

... Generating test scripts is a time consuming task and many times it‟s repetitive. The tool converts a Natural language query into executable test script. The above tool uses TF-IDF method and LUIS built-in ... See full document

5

Book Reviews: A Theory of Computer Semiotics: Semiotic Approaches to Construction and Assessment of Computer Systems

Book Reviews: A Theory of Computer Semiotics: Semiotic Approaches to Construction and Assessment of Computer Systems

... presentation planning as an extension of text planning." In Aspects of Automated Natural Language Generation, edited by Robert Dale, Eduard H.. "Generating referring expressions in a mul[r] ... See full document

8

Optimising Natural Language Generation Decision Making For Situated Dialogue

Optimising Natural Language Generation Decision Making For Situated Dialogue

... The contribution of this paper consists in a com- prehensive account of constrained Hierarchical Re- inforcement Learning through a combination with a hierarchical Information State (HIS), which is in- formed by prior ... See full document

10

Issues in the choice of a source for Natural Language Generation

Issues in the choice of a source for Natural Language Generation

... suppression of redundancy in the generation of inference-rich reports." In Aspects of Automated Natural Language Generation, Springer Verlag Lecture Notes in AI, Number 587, edited by Da[r] ... See full document

7

Combining Hierarchical Reinforcement Learning and Bayesian Networks for Natural Language Generation in Situated Dialogue

Combining Hierarchical Reinforcement Learning and Bayesian Networks for Natural Language Generation in Situated Dialogue

... the generation of navigation instructions in a virtual 3D world in the GIVE scenario (Koller et ...the situated approach to gener- ation we are addressing is a tight coupling of sys- tem and user behaviour ... See full document

11

Natural Language Generation with Vocabulary Constraints

Natural Language Generation with Vocabulary Constraints

... Traditional language modeling techniques such as such as the Dependency Model with Va- lence (Klein and Manning, 2004) and 5-gram Kneser Ney (Chen and Goodman, 1996) perform poorly, which is unsurprising as they ... See full document

10

Natural Language Generation from Pictographs

Natural Language Generation from Pictographs

... between natural languages and with Natural Language Generation ...statistical language models as a solution to the word inflection problem, as there may exist multiple forms for a ... See full document

5

A Model of Revision in Natural Language Generation

A Model of Revision in Natural Language Generation

... As a general area of study, the revision process presents interesting problems: Recognition of flaws in text requires a descriptive theory of what constitutes well written prose and a pa[r] ... See full document

7

NAtural Language driven Image Generation

NAtural Language driven Image Generation

... Since the pencil cannot give full support to the book another object must be assumed, which supports the pencil and, at least partially, the book; both objects could be placed directly o[r] ... See full document

6

Knowledge Structures for Natural Language Generation

Knowledge Structures for Natural Language Generation

... Knowledge Structures for Natural Language Generation K n o w l e d g e S t r u c t u r e s f o r N a t u r a l L a n g u a g e G e n e r a t l o n ~ P a u l S J a c o b s Knowledge Based Systems Branc[.] ... See full document

6

Natural Language Generation from Plans

Natural Language Generation from Plans

... What has happened here is that, from the point of view of making a house-building plan, the planner cannot make use of properties of a general action like 'install,' and so its represent[r] ... See full document

17

Natural Language Input for Scene Generation

Natural Language Input for Scene Generation

... the object in terms of prototype THOUGHTs.. divided in different levels of detail hier-.[r] ... See full document

8

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