[PDF] Top 20 The Penn Discourse TreeBank 2.0.
Has 10000 "The Penn Discourse TreeBank 2.0." found on our website. Below are the top 20 most common "The Penn Discourse TreeBank 2.0.".
The Penn Discourse TreeBank 2.0.
... The tagset of senses is organized hierarchically (cf. Fig- ure 1), with three levels: class, type and subtype. The top level (class) has four types representing four major seman- tic classes: “TEMPORAL”, “CONTINGENCY”, ... See full document
8
PDTB XML: the XMLization of the Penn Discourse TreeBank 2.0
... Dependency Treebank (Bouma and Kloosterman, 2002), the Europarl paral- lel corpus (Koehn, 2005), the Wikipedia XML corpora (Denoyer and Gallinari, 2006; Schenkel et ... See full document
6
Searching in the Penn Discourse Treebank Using the PML Tree Query
... tions, or the alternative lexicalization is kept in the attribute discourse/text, the head of the connective is kept in the attribute discourse/head. Throughout the schema, the attribute nodes.rf contains a ... See full document
8
Zero shot transfer for implicit discourse relation classification
... a discourse lies in ...the Penn Discourse Treebank (PDTB) framework which re- gards abstract objects (Asher, 2012) as the units of discourse and views the text as a collection of ... See full document
6
Discourse Relations in the Prague Dependency Treebank 3 0
... Prague discourse label set was inspired by the Penn sense tag hierarchy (Prasad et ...the Penn senses and go closer to Prague tectogrammatical functors and/or are a matter of language-specific ... See full document
5
Reflections on the Penn Discourse TreeBank, Comparable Corpora, and Complementary Annotation
... Section 2 of the paper lays out the key ideas behind the PDTB annotation methodology, and Section 3 describes the corpus in more detail than previous papers (Prasad et ... See full document
30
Introducing the Prague Discourse Treebank 1 0
... Prague Discourse Treebank ...various discourse-related phenomena "beyond the sentence ...The treebank contains manual annotations of (1), discourse connect- ives, their arguments ... See full document
9
A Discourse Annotated Corpus of Conjoined VPs
... for discourse coherence for developing approaches to automated sense recognition, we decided to ex- pand the Penn Discourse TreeBank (PDTB2) to include discourse relations associated ... See full document
10
Parsing the Penn Chinese Treebank with Semantic Knowledge
... Coordination Disambiguation: Coordination is another kind of “every way ambiguous” construction. For coordination structures, the head word is meaning- less. But that doesn’t matter, since semantic dependency between the ... See full document
12
Hunting for Entailing Pairs in the Penn Discourse Treebank
... which assumes that the probability of an entailment relation between a given T-H pair is inversely proportional to the distance between T and H (i.e. the higher the distance, the lower is the probability of entailment). ... See full document
16
Recognizing Implicit Discourse Relations in the Penn Discourse Treebank
... Figure 2(a) usually signals an Asynchronous relation when it appears in Arg2, as shown in Example 3, while the structure in Fig- ure 2(b) usually acts as a clue for a Cause relation when it appears in Arg1, ... See full document
9
Genre distinctions for discourse in the Penn TreeBank
... the Penn Discourse Tree- Bank (hereafter, PDTB) in Section 4, Sections 5 and 6 show that these four genres display differ- ences in connective frequency and in terms of the senses associated with ... See full document
9
Parsing Noun Phrases in the Penn Treebank
... Statistics comparing our new data set to those used by other researchers are shown in Table 13. As can be seen, the Penn Treebank-based corpus is significantly larger than all other data sets. The ... See full document
57
Aligning Chinese English Parallel Parse Trees: Is it Feasible?
... the Penn Chinese Treebank (Xue et al., 2005) and English TreeBank (Marcus et ...the Penn series of treebanks and are both annotated with phrase structure trees in very similar annotation ... See full document
9
Statistical Dependency Parsing in Korean: From Corpus Generation To Automatic Parsing
... In this paper, we present head-percolation rules and heuristics to convert constituent trees in the Se- jong Treebank to dependency trees. We then sug- gest a way of selecting important morphemes for dependency ... See full document
11
Multi lingual and Cross genre Discourse Unit Segmentation
... pora). More recently, the 2015 and 2016 CoNLL shared tasks, following the PDTB framework, sparked interest for the task of shallow discourse parsing, with Wang and Lan (2015) and Oepen et al. (2016) as winning ... See full document
10
Annotating Coordination in the Penn Treebank
... In this paper, we have listed a wide range of coor- dination phenomena that have to be taken into con- sideration for an exhaustive treatment of coordina- tion. We have presented a new annotation layer for the ... See full document
9
Semantic Tagging for the Penn Treebank
... the Treebank II annotation scheme, so this also must be added, and phrasal lexical entries must also be identified when they form complex semantic predicates comprising several nodes in the parse ... See full document
6
Compacting the Penn Treebank Grammar
... ing staged rule extraction and compaction, after a sufficient amount of input has been processed; • that, though the fully compacted grammar produces lower parsing performance than the e[r] ... See full document
5
Related subjects