[PDF] Top 20 Polyglot Semantic Role Labeling
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Polyglot Semantic Role Labeling
... first polyglot variant, we consider multi- lingual sharing between each language and En- glish by using pretrained multilingual embed- ...This polyglot model is trained on the union of annotations in the ... See full document
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Distributed Representations for Unsupervised Semantic Role Labeling
... variant, semantic roles are mod- eled as latent variables in a (directed) graphical model that relates a verb, its semantic roles, and their possible syntactic realizations (Grenager and Manning, 2006; Lang ... See full document
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A Joint Model for Extended Semantic Role Labeling
... of semantic role labeling beyond verbs and ...verb semantic roles and preposition object roles and jointly pre- dicts the output of the two systems in the pres- ence of linguistic constraints ... See full document
11
Joint Inference for Bilingual Semantic Role Labeling
... We show that jointly performing semantic role labeling (SRL) on bitext can improve SRL results on both sides. In our approach, we use monolingual SRL systems to produce ar- gument candidates for ... See full document
11
Chinese Semantic Role Labeling with Shallow Parsing
... tic Role Labeling (SRL) make use of full syntactic ...for semantic roles (i.e. semantic chunks). Two labeling strategies are presented: 1) directly tagging semantic chunks in ... See full document
9
Dependency based Semantic Role Labeling of PropBank
... training semantic role classifiers, and it also seemed that the dependency-based role classifiers were more resilient to lexical problems caused by change of ... See full document
10
Semantic Role Labeling with Neural Network Factors
... a semantic frame drawn from a frame lexicon, and the semantic roles of the frame are used for labeling the candidate arguments in the ...the semantic frame f of the predicate has already been ... See full document
11
Out of domain FrameNet Semantic Role Labeling
... Annotation study Each document was anno- tated by a two linguistically trained annotators pro- vided with detailed guidelines and then curated by an experienced expert, all using WebAnno 2.0.0 (Yimam et al., 2014). Up to ... See full document
12
Sentence Simplification for Semantic Role Labeling
... Another group of related work focuses on summa- rizing sentences through a series of deletions (Jing, 2000; Dorr et al., 2003; Galley & McKeown, 2007). In particular, the latter two works iteratively simplify the ... See full document
9
A Global Joint Model for Semantic Role Labeling
... same semantic argument as specified by ...same semantic role are a part of the same ...modifier semantic role labels, and a simple post-processing rule is applied to the output of the ... See full document
32
Semantic Role Labeling with Iterative Structure Refinement
... state-of-the-art Semantic Role Label- ing (SRL) methods rely on expressive sentence encoders ...argument labeling de- cisions through iterative ... See full document
12
Syntax aware Multilingual Semantic Role Labeling
... Recently, semantic role labeling (SRL) has earned a series of success with even higher performance improvements, which can be mainly attributed to syntactic integration and enhanced word ...syntactic ... See full document
10
Prediction of Maximal Projection for Semantic Role Labeling
... In Semantic Role Labeling (SRL), argu- ments are usually limited in a syntax sub- tree. It is reasonable to label arguments lo- cally in such a sub-tree rather than a whole tree. To identify active ... See full document
8
Syntax-Aware Neural Semantic Role Labeling
... Semantic role labeling (SRL), also known as shallow se- mantic parsing, is an important yet challenging task in ...the semantic roles of each predicate, ... See full document
9
The Effect of Syntactic Representation on Semantic Role Labeling
... In addition, there are a number of linguistic mo- tivations why dependency syntax could be bene- ficial in an SRL context. First, complex linguis- tic phenomena such as wh-word extraction and topicalization can be ... See full document
8
Generalizable Features Help Semantic Role Labeling
... same semantic role in relative clauses and the noun phrase it modifies, Toutanova et ...lexical semantic concepts that lend background to our solution to the ... See full document
8
Semantic Role Labeling for Open Information Extraction
... text. Semantic Role Labeling: SRL is a common NLP task that consists of detecting semantic arguments associated with a verb in a sentence and their classi- fication into different roles (such ... See full document
9
Semantic Role Labeling with Associated Memory Network
... Since the recent work of (Marcheggiani et al., 2017), which surprisingly shows syntax-agnostic dependency SRL for the first time can be rival of syntax-aware models, SRL has been more and more formulized into standard ... See full document
11
A Robust Combination Strategy for Semantic Role Labeling
... For robustness, the inference model uses only global attributes extracted from the solutions pro- vided by the individual systems, e.g., the sequence of role labels generated by each system for the cur- rent ... See full document
8
Context aware Frame Semantic Role Labeling
... including question answering (Shen and Lapata, 2007), text-to-scene generation (Coyne et al., 2012), stock price prediction (Xie et al., 2013), and so- cial network extraction (Agarwal et al., 2014). Whereas some tasks ... See full document
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