[PDF] Top 20 Grounded Semantic Role Labeling
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Grounded Semantic Role Labeling
... corporating semantic role ...uating grounded semantic role labeling ...incorporating semantic role information, our ap- proach has led to better grounding ... See full document
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Joint Inference for Bilingual Semantic Role Labeling
... As shown in Figure 2, we need to use a monolin- gual SRL system to generate candidates for our joint inference model. We have implemented a monolin- gual SRL system which utilize full phrase-structure parse trees to ... See full document
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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
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
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Semantic Role Labeling with Associated Memory Network
... Semantic role labeling (SRL) is a task to rec- ognize all the predicate-argument pairs of a sentence, which has been in a performance improvement bottleneck after a series of lat- est works were ... See full document
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A Joint Model for Extended Semantic Role Labeling
... We retrained classifiers for preposition sense for the new label space. Before describing the prepo- sition role dataset, we briefly describe the datasets and the features for the sense problem. The best ... See full document
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Semantic Role Labeling with Neural Network Factors
... Feature-based approaches to SRL employ hand- engineered linguistically-motivated feature tem- plates to represent the semantic structure. Some recent work has focused on low-dimensional repre- sentations that ... See full document
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Semantic Role Labeling with Iterative Structure Refinement
... Our structured refinement network is simple but encodes non-local dependencies. Specifically, it takes into account the information about the role distributions on the previous iteration aggregated over the entire ... 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
Distributed Representations for Unsupervised Semantic Role Labeling
... In this work we propose to learn these features and their complex interactions (e.g., selectional restrictions) automatically from data. Specifi- cally, we induce embeddings to represent a pred- icate and its arguments. ... See full document
10
Semantic Role Labeling for Open Information Extraction
... To convert UIUC-SRL output to Open IE format, SRL-IE treats the verb (along with its modifiers and negation, if present) as the relation. Moreover, it assumes SRL’s role-labeled arguments as the Open IE arguments ... See full document
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Prediction of Maximal Projection for Semantic Role Labeling
... According to a statistical analysis, the average depth from a target predicate to the root of a syntax tree is 5.03, and the average depth from a predicate to MP is just 3.12. This means about 40% of an- cestors of a ... See full document
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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
A Sequence to Sequence Model for Semantic Role Labeling
... 2017), semantic pars- ing (Dong and Lapata, 2016), and cross-lingual Open Information Extraction (Zhang et ...SRL labeling setup, we need to restrict the decoder to reproduce the original input sentence, ... See full document
10
Semantic Role Labeling Improves Incremental Parsing
... mat. Semantic role annotation is sourced from ...and labeling clas- sifiers of the iSRL system using the intersection of Sections 2–21 of WSJ and the English portion of the CoNLL 2009 Shared Task ... See full document
11
Context aware Frame Semantic Role Labeling
... two reasons for improvement. Firstly, contextual features provide necessary additional information to understand and assign roles on the sentence level, and secondly, some of our discourse-level features generalize ... See full document
12
Semantic role labeling of nominalized predicates in Chinese
... tic role labeling (SRL) task, where each argument of the predicate is assigned a label that represents the semantic role it plays with regard to its pred- icate (Gildea and Jurafsky, 2002; ... See full document
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Syntax-Aware Neural Semantic Role Labeling
... Meanwhile, inspired by the success of syntactic features in traditional SRL approaches, researchers also try to en- hance neural network based SRL approaches by syntax. He et al. (2017) show that large improvement can be ... 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
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