[PDF] Top 20 Natural Language Generation Challenges for Explainable AI

... Other challenges include creating good experi- mental designs for task-based evaluation, such as the study Biran and McKeown (2017) did to as- sess whether explanations improved financial de- cision making because ... See full document

... The role of the HModel is to coerce the planner into cre- ating the alternative plan that includes the actions and tem- poral constraints the user has in mind. One or more con- straints must be added to the original ... See full document

... to generation which is able to model the effect of an utter- ance on the non-linguistic context, and to inten- tionally generate utterances such as the above as part of a process of referring to ...CRISP ... See full document

... A second line of attack formalizes NLG as an AI planning problem. SPUD (Stone et al., 2003), a system for NLG through microplanning, con- siders NLG as a problem which requires realiz- ing a deliberative process ... See full document

... speed, AI is helping lawyers to streamline work processing. New legal AI software tools like Catalyst, Ross intelligence, and Matlab along with natural language processing provide effective ... See full document

... of natural language generation systems can be done using intrinsic and extrinsic methods (Sparck Jones and Galliers, 1996; Belz and Reiter, ... See full document

... having language to support formal concepts, and thus if a child can learn without KR, so can machine’ [42] The idea of Ïntelligence without Representation has not gained widespread acceptance “bottom- up research ... See full document

... 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

... How natural language expla- nations are evaluated will likely be based on, in the near term at least, subjective measures that try to evaluate an explanation in terms of whether it improves a system’s ... See full document

... However, an enormous problem is that deep learning methods turn out to be uninterpretable ”black boxes,” which create serious challenges, including that of interpreting a predictive result when it may be confirmed ... See full document

... in language make the re- sponse rather ...in natural language gen- eration (Wen et ...in natural language processing increases these models’ ca- pacity to generate sophisticated ... See full document

... The paper is organized as follows: in Section 2, we motivate the need of a semantic representation for generating explanations in a XAI architecture. Next, in Section 3, we continue with an overview of some existing ... See full document

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

... [r] ... See full document

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

... 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

... in natural language generation and it is out of our scope to model all the facets and details of direct/repetition priming in the alignment of linguistic ... See full document

... 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

... Natural Language Generation is also a subset of Artificial Intelligence technology that could manipulate organized/unorganized data into meaningful natural language ... See full document

... 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