[PDF] Top 20 The Effects of Discourse Connectives Prediction on Implicit Discourse Relation Recognition

... By comparing with the above different systems, we find several useful observations. First, our method using predicted implicit connectives via a language model can help the task of implicit dis- ... See full document

... (ii) the number of features involved in a classifi- cation can be significantly reduced which has a positive effect on the computational side. Future research should be concerned with a closer inspection of how ... See full document

... of connectives used in training DSWE on our ...explicit discourse instances with the top 10, 20, 30, 60 most frequent or all connectives to learn DSWE, accounting for ...frequent connectives ... See full document

... automatic discourse connective prediction. We limit ourselves to connectives which appear at the beginning of a sentence, linking the sentence to the preceding ...automatic discourse ... See full document

... it discourse relation c lassifiers based on the training data collected (We llner, Pustejovsky and Havasi, 2006; Pitler, Louis and Nenkova, 2009; Lin, Kan and Ng 2009; Wang, Su and Tan, ...the ... See full document

... explicit discourse data. Zhou et al. (2010) predict the absent connectives based on a language ...same connectives, which can effectively alleviate the feature sparsity prob- ... See full document

... and implicit relation recognition (namely, 50% ...insert discourse connectives and leverage the infor- mation of these predicted ...incorporates implicit connectives in an ... See full document

... Implicit discourse relation recognition re- mains a serious challenge due to the ab- sence of discourse ...for implicit dis- course relation recognition, which con- ... See full document

... for implicit discourse relation recogni- tion, previous works attempted to auto- matically generate training data by remov- ing explicit discourse connectives from sentences and then ... See full document

... the discourse relations that exist between arbitrary text spans is crucial for un- derstanding a given ...explicit discourse relations — discourse relations marked by explicit connectives — ... See full document

... the implicit connectives and the discourse rela- ...each implicit connective in the PDTB dataset can be naturally mapped into the corresponding discourse relations based on their ... See full document

... explicit discourse connectives makes it difficult to recognize implicit discourse ...for implicit rela- tion recognition by automatically insert- ing discourse ... See full document

... second discourse unit to form a couple- linking, while the latter is connected with a word in the first ...word-pair connectives are less ambiguous than single-word connectives in different ... See full document

... main implicit relation classifi- cation task, contain the task of predicting previ- ously removed connectives for explicit relations, and profit from shared representations between the ...both ... See full document

... underlined discourse connective connects the first dis- course argument (in italic) to the second discourse argu- ment (in bold) via a temporal ...relation. Connectives consti- tute strong ... See full document

... for implicit discourse relation recognition are based on manually specified indi- cator features, such as bag-of-words, production rules, and other linguistically-informed features (Zhou et ... See full document

... The first issue we encountered is how to seg- ment an article into arguments. In other words, the issue concerns the determination of the ar- gument boundaries. In PDTB, both the bounda- ries of arguments and the type of ... See full document

... a discourse relation as the uni- gram distribution of words in the 2 arguments con- nected by the ...particular discourse usage is thus the sum of the unigram dis- tributions of all discourse ... See full document

... Preprocessing All tokenization is taken from the gold standard tokenization in the PTB (Marcus et al., 1993). We use the Berkeley parser to parse all of the data (Petrov et al., 2006). We test the effects of word ... See full document

... course relation identification models on dialogue data and our proposed features, we build on the Deep Enhanced Representation (DER) model of Bai and Zhao (2018) 7 , which demonstrated its ef- ficiency by ... See full document