[PDF] Top 20 Aggregated Word Pair Features for Implicit Discourse Relation Disambiguation

... extract word pairs for each marker from the Gigaword corpus by taking the cross product of words that appear in a sentence around that ...our features use- ...these features to be down-weighted by ... See full document

... predict implicit connectives on both training set and test ...predicted implicit connectives as additional features for su- pervised implicit relation ...informed features under ... See full document

... formed features, including polarity tags, Levin verb classes, length of verb phrases, modality, context, and lexical features; Zhou et ...as features; Park and Cardie (2012) propose a locally- ... See full document

... sense disambiguation (in particu- lar, in terms of precision), it is competitive with other systems in the ...surface-based features in favor of dis- tributional representations of the argument ... 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

... linguistic features to learn the implic 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 ... See full document

... Penn Discourse TreeBank (PDTB) (Prasad et ...the discourse-annotated cor- pora available to researchers, using a comprehen- sive scheme for both implicit and explicit rela- ...performed ... See full document

... for implicit and explicit relations as in our full model) to train this simplified ...the features selected by max pooling back to the WP-k and n-grams associated with their embeddings ...for word ... See full document

... Contrast relation. However, classi- fiers based on word pairs in previous work do not work well because of the data sparsity ...use word embeddings (aka distributed representations) in- stead of ... See full document

... classifying implicit relations is dif- ficult in large part because it relies on numerous factors, ranging from syntax, and tense and as- pect, to lexical semantics and even world knowl- edge (Asher and ... See full document

... into discourse semantics over the past few years. One theory of discourse structure is represented in the PDTB (Prasad et al, ...sents discourse relationships as connectives be- tween two ...that ... See full document

... contextual word “ ෎಴ ” (“gene”) should be reduced to work on the target word “ ߚᄤ ” because “ ᘤᗪߚᄤ ” is a collocation whereas “ ߚᄤ ” and “ ෎಴ ” are not collocations even though they do ...textual ... See full document

... the relation between sentences in a discourse is a challenging task, in particular when there is no overt expression of the ...for implicit discourse relation classification, where the ... See full document

... The features used in these systems usually in- clude local features, such as part-of-speech (POS) of neighboring words, local collocations , syntac- tic patterns and global features such as single ... See full document

... simple word pairs to reach scores near ...input word vectors are concatenated in the input layer with padding and unknown words are initialized to random values very close to zero (see section ... See full document

... We base our recipe on the Wall Street Journal and Librispeech recipes in the Kaldi repository which trains a series of GMM models and a DNN model from scratch. We use IRSTLM (Federico et al., 2008) to train a language ... 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 ...serves ... See full document

... utilizing implicit connectives at training ...with implicit connectives. This essen- tially is an ensemble of two implicit recognition ...the implicit connectives based on the network ... See full document

... tackles implicit discourse relation clas- sification in a low resource setting that is flexible to the amount of ...explicit discourse relation to implicit discourse ...of ... See full document

... interactive features at sentence-level, but also considers the topic-level relevance among ...the discourse relations at a higher level to improve the performance of Chi- nese implicit ... See full document