[PDF] Top 20 Calibrating Features for Semantic Role Labeling
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Labeling Chinese Predicates with Semantic Roles
... a semantic representation, which may very well vary from language to ...new features are added. Without the new features, the accuracy drops about one percentage ...new features are used, up ... See full document
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Multi Predicate Semantic Role Labeling
... base features. While after additional predicates-related features are added, the precision has improved by ...tional features added in the identification module, the precision is improved by about ... See full document
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Semantic Role Labeling of Emotions in Tweets
... Table 8 shows results of ablation experiments— the accuracies obtained with one of the feature groups removed. The higher the drop in per- formance, the more useful is that feature. Ob- serve that the ngrams are the most ... See full document
10
Towards Robust Semantic Role Labeling
... on semantic role labeling (SRL) has been focused on training and evaluating on the same corpus in order to develop the ...state-of-the-art semantic role labeling system, while ... See full document
8
Low Resource Semantic Role Labeling
... These results begin to answer a key research question in this work: The joint models outper- form the pipeline models in the low-resource set- ting. This holds even when using the same feature selection process. Further, ... See full document
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Enhancing Opinion Role Labeling with Semantic Aware Word Representations from Semantic Role Labeling
... implicit semantic- aware word representations for ...as features directly for ORL and the other one exploits a multi-task- learning (MTL) framework to benefit ORL by SRL ... See full document
6
On the Role of Lexical Features in Sequence Labeling
... only features appearing at least 100 times in the training corpus, do show a small but signif- icant drop in accuracy on the testing corpus com- pared to the non-pruned models exposed to all available ... See full document
10
Brutus: A Semantic Role Labeling System Incorporating CCG, CFG, and Dependency Features
... the semantic arguments that should correspond to them (Boxwell and White, ...appropriate semantic role that corresponds to that headword (given by Propbank) is ...a semantic role ... See full document
9
Generalizable Features Help Semantic Role Labeling
... design features to generalize across different syntactic structures that a verb occurs ...of features from the initial five in Gildea and Jurafsky (2000) to over twenty in later work such as (Pradhan et ... See full document
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Multilingual Semantic Role Labeling
... single features and, to improve the separability of our linear classifiers, we paired features to build ...the features. Table 2 con- tains the complete list of single features we ... See full document
6
Tree Kernels for Semantic Role Labeling
... of semantic role annotations, they provide an easy way to engineer new features which enhance the state-of-the-art in ...typical features proposed in ...designed features, tree kernels ... See full document
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Towards Robust Semantic Role Labeling
... Most semantic role labeling (SRL) research has been focused on training and evaluating on the same ...lexical/semantic features dominating the classification task where more general ... See full document
22
Semantic Role Labeling Without Treebanks?
... mantic role labeling systems (Gildea and Hocken- maier, 2003; Boxwell et ...treepath features in CFG-based SRL ...of semantic roles inside a packed parse chart – because the dependency is ... See full document
9
Sentence Simplification for Semantic Role Labeling
... which role pattern was used, and features about the assignment of constituents to ...These features are in- dicator functions for each possible ...the role pattern used to gen- erate the ... See full document
9
Grounded Semantic Role Labeling
... grounded semantic role labeling. Besides semantic roles ex- plicitly mentioned in language descriptions, our ap- proach also grounds implicit roles which are not explicitly ...mantic ... See full document
11
Exploring Multilingual Semantic Role Labeling
... From table 3, we can see our system performs relatively poorly for argument identification and classification (57.24 vs. 86.9). The system seems too conservative for argument identification, which makes the recall very ... See full document
6
Experimental Evaluation of LTAG Based Features for Semantic Role Labeling
... with features from shallow parsing, previ- ous work (Gildea and Palmer, 2002; Punyakanok et ...extracted features from other syntactic representations, such as CCG derivations (Gildea and Hockenmaier, 2003) ... See full document
10
Improving Chunk-based Semantic Role Labeling with Lexical Features
... Features for SRL are usually extracted from chunks or constituent parse trees. While parse trees allow a set of very informative path-based, structural features, chunks can provide more re- liable ... See full document
7
Semantic Role Labeling for Open Information Extraction
... Open Information Extraction is a recent paradigm for machine reading from arbitrary text. In contrast to existing techniques, which have used only shallow syntactic features, we investigate the use of ... See full document
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