[PDF] Top 20 Discourse Planning with an N gram Model of Relations

... We conducted two crowd sourced experiments on the CrowdFlower platform. Each question con- sisted of two short stories that are completely iden- tical in content, but each generated with a different discourse ... See full document

... Lexical resources present linguistic information about words of natural languages. This information can be presented in data structures, from plain lists to complicated with many types of linguistic information and ... See full document

... Markov Model (HMM) for part-of-speech (POS) tagging is typi- cally based on tag ...syntactic relations unrepresented. Using n-gram models for n > 3 in order to incorporate global ... See full document

... channel model approach has been successfully applied to input methods (Chen and Lee, 2000; Mori et ...language model, which measures the likelihood of a word sequence in the language and a ... See full document

... implicit discourse relation, ...the model to learn better represen- tations of individual argument spans in support of modeling of arguments in composition, ...our model. Implementational Details: We ... See full document

... retrieval model with BM25 similarity formula (ranking function based on binary independence model); their system achieved a 14% improvement in MRR over their ...about discourse relations is ... See full document

... log-linear model with hidden variables. The model jointly identifies relevant sentences, estab- lishes relations between them and predicts an an- ...the model to a single discourse ... See full document

... of relations can range from blind and coarse-grain properties of the propositional arguments ...the discourse cues in a given ...implicit discourse relations by only looking at the most ... See full document

... Semantic, Discourse, Pragmatic ...sentences. N-gram techniques make use of Markov ...Markov Model, which we developed to overcome some of limitations of standard Markov ... See full document

... implicit relations is a critical step in forming a discourse understanding of text, as many text spans do not mark their discourse re- lations with explicit ...features discourse level ... See full document

... to discourse organization is to represent the state of the discourse with an information state (Poesio and Traum, 1997) and associate each move with an appropriate ...can model utterances such as (2) ... See full document

... A simple model M1 that only uses the connective string improves significantly over the baseline with 75.7% accuracy but a kappa of only 0.48, showing that this is not a reliable strategy. Models M2-M4 do not rely ... See full document

... change according to the prediction of whether an explicit relation is coming up or not. If the upcom- ing relation is an implicit relation, one then has ac- cess to a distribution of words without the connec- tives, ... See full document

... different discourse relations, we automatically train the weights of different relations in accordance with their importance, and then make use of discourse structure knowledge to improve ... See full document

... We estimate the parameters of an n-gram model by examining a sample of text, t~, which we call the training text, in a process called training.. To estimate the parameters of an n-gram m[r] ... See full document

... rhetorical relations are realized by discourse markers, starts by considering only ad- verbials, prepositional phrases, and conjunctions, but then notes the occurrence of a single instance of a nominal ... See full document

... T h e clauses in 3 must be related by a discourse relation for the text to be coherent, and therefore given the meanings of the discourse relations, the events described must be connecte[r] ... See full document

... We limit our discussion to temporal aspects of discourse interpretation; our strategy here is to explore two possible contextual constraints; these state how the discourse context filter[r] ... See full document

... Discourse relations are a bridge between sentence-level semantics and discourse- level ...with discourse connectives or conveyed implicitly, to be inferred by a ...same discourse units ... See full document

... the N is, the closer the word order is to the real word, which produces better ...the N not only causes the number of parameters increases sharply, but also brings some evaluation ...when ... See full document