[PDF] Top 20 Granularity in Natural Language Discourse
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Granularity in Natural Language Discourse
... of granularity in understanding text. However, for auto- mated granularity identification and extraction, it is necessary to explicitly recognize the identifiers that indicate a shift in ...of ... See full document
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Discourse Pragmatics and Ellipsis Resolution in Task Oriented Natural Language Interfaces
... This paper reviews discourse phenomena that arise ~n task.oriented dialogs with responsive agents such as expert systems, rather than purely passive data base query systems, outlines the[r] ... See full document
5
Integrating Discourse Markers into a Pipelined Natural Language Generation Architecture
... Yet discourse markers and revision both operate at the clause level, which leads to the potential of inter- ference effects if they are not resolved at the same lo- cation in a pipelined ...both discourse ... See full document
8
Discourse Oriented Anaphora Resolution in Natural Language Understanding: a Review
... [2] Technical note 150, Artificial Intelligence Center, SRI International, June 1977... The representation and use of focus in dialogue understanding.[r] ... See full document
14
Measuring the Effect of Discourse Relations on Blog Summarization
... Discourse relations have been found useful in many NLP applications such as natural language generation (e.g. (McKeown, 1985)) and news summarization (e.g. (Blair-Goldensohn and McK- eown, 2006; ... See full document
9
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
Multiple Discourse Marker Occurrence: Creating Hierarchies for Natural Language Generation
... Single Relations Multiple Markers Preliminary tests using the British National Corpus BNC and Knott's 1995 taxonomy of discourse markers suggested that the order of multiple markers cuei[r] ... See full document
5
Language choice models for microplanning and readability
... of discourse relations in a Natural Language Generation system that attempts to generate appropriate texts for users with varying levels of ... See full document
6
Recognizing promises, advice, threats and warnings in natural language discourse
... the the affect interests the of way or the antecedent of the hearer one other* Let X be premise the the 3nd state Z following the of affairs sction most described in the in the conclusio[r] ... See full document
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Planning Reference Choices for Argumentative Teas
... Since a natual segmentation of discourse into attentional spaces is needed to carry out this task, this paper first proposes an architecture for natural language generation that combines[r] ... See full document
8
The CoNLL 2015 Shared Task on Shallow Discourse Parsing
... low Discourse Parsing, a task focusing on identifying individual discourse relations that are present in a natural language ...A discourse relation can be expressed ex- plicitly or ... See full document
16
Can Discourse Relations be Identified Incrementally?
... Incremental processing is an essential character- istic of human language comprehension, because linguistic data naturally occurs in streams. For example, during sentence comprehension, humans do not start parsing ... See full document
6
The Effects of Interaction on Spoken Discourse
... Since keyboard is the modality upon which most current natural language heuristics and algorithms are based, the discourse and performance patterns observed in the two speech modalities [r] ... See full document
9
On Language, Discourse and Reality
... by language, as ideas were spread through linguistic ...our natural tendency to generalize about race can be curbed, so discourse is used to remove the ... See full document
6
Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference
... As shown in Table 5, we conduct an ablation ex- periment on SNLI development dataset to evaluate the individual contribution of each component of our model. Firstly we only use the results of the sentence encoder model ... See full document
11
Towards a Computational Formalization of Natural Language Semantics
... TOWARDS A COMPUTATIONAL FORMALIZATION OF NATURAL LANGUAGE SEMANTICS ? \ I~I~RODUCTION The problem of explicating the meaning of natural language discourse and how this meaning is obtained has been of[.] ... See full document
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Empirical Studies of Discourse Representations for Natural Language Interfaces
... It is therefore necessary to supplement previ- ous and on-going linguistic and computational re- search o n discourse representations with empirical studies o f different man-computer di[r] ... See full document
8
Non singular Concepts in Natural Language Discourse
... Tomek Strzalkowski and Nick Cercone Non-Singular Concepts in Natural Language Discourse.. the ordering may be partial only.[r] ... See full document
16
Weasels, Hedges and Peacocks: Discourse level Uncertainty in Wikipedia Articles
... In many areas of natural language processing, it is essential to distinguish between factual and non- factual information. Thus, depending on the pre- cise task, negated or uncertain propositions should be ... See full document
9
Integrating Natural Language Components into Graphical Discourse
... 6 Creating the Natural Language Output 6.1 Planning Sentences As stated in our example above, we want to produce text that, in this case, informs the user that not all the information th[r] ... See full document
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