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[PDF] Top 20 The Effect of Syntactic Representation on Semantic Role Labeling

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The Effect of Syntactic Representation on Semantic Role Labeling

The Effect of Syntactic Representation on Semantic Role Labeling

... We finally conducted an evaluation of the se- mantic role classification accuracies on an out-of- domain test set: the FrameNet-annotated Nuclear Threat Initiative texts from SemEval task (Baker et al., 2007). ... See full document

8

The Importance of Syntactic Parsing and Inference in Semantic Role Labeling

The Importance of Syntactic Parsing and Inference in Semantic Role Labeling

... of semantic role labeling in more ...the effect of inference in a single system and propose an approach that combines different SRL systems based on joint inference in Section ... See full document

32

Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2 L1 Parallel Data

Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2 L1 Parallel Data

... studies semantic parsing for in- terlanguage (L2 1 ), taking semantic role label- ing (SRL) as a case task and learner Chi- nese as a case ...the semantic roles for a set of learner texts to ... See full document

10

Syntax for Semantic Role Labeling, To Be, Or Not To Be

Syntax for Semantic Role Labeling, To Be, Or Not To Be

... dependency semantic role labeler using convolutional and time-domain neural networks, while FitzGerald et ...and semantic roles, akin to the work (Lei et ...model syntactic information and ... See full document

11

Combining Constituent and Dependency Syntactic Views for Chinese Semantic Role Labeling

Combining Constituent and Dependency Syntactic Views for Chinese Semantic Role Labeling

... multiple syntactic parsing processes. In our method, the cost of syntactic parsing will increase only slightly as we derive de- pendency parsing from constituent parsing us- ing a constituent-to-dependency ... See full document

9

An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling

An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling

... of syntactic and semantic dependencies in multiple languages for our participation in the shared task of ...and semantic role ...for syntactic dependencies, and ... See full document

6

Enhancing Opinion Role Labeling with Semantic Aware Word Representations from Semantic Role Labeling

Enhancing Opinion Role Labeling with Semantic Aware Word Representations from Semantic Role Labeling

... Opinion role labeling (ORL) is an important task for fine-grained opinion mining, which identifies important opinion arguments such as holder and target for a given opinion ...with semantic ... See full document

6

Improving Chinese Semantic Role Labeling with Rich Syntactic Features

Improving Chinese Semantic Role Labeling with Rich Syntactic Features

... Table 4: Top 10 useful features for SRC. Table 4 shows the ten most useful features in SRC. We can see that two of these ten features are word features (denoted by †). Namely, word features play a more important ... See full document

5

Chinese Semantic Role Labeling using High quality Syntactic Knowledge

Chinese Semantic Role Labeling using High quality Syntactic Knowledge

... learning semantic role prediction models, it is still hard to learn lexical preferences due its limited ...to syntactic analysis such as syntactic dependency parsing, whose performance is ... See full document

8

Collective Semantic Role Labeling on Open News Corpus by Leveraging Redundancy

Collective Semantic Role Labeling on Open News Corpus by Leveraging Redundancy

... We propose a novel MLN-based method that collectively conducts SRL on groups of news sentences to leverage the content redundancy in news. To isolate the negative effect of noise from parsers and thus focus on the ... See full document

5

Semantic Role Labeling Without Treebanks?

Semantic Role Labeling Without Treebanks?

... For this reason, we revisit our earlier decision to generate a tag dictionary with no cutoff. Instead, we generate a tag dictionary of categories that make up at least 10% of the word tokens. For example, suppose the ... See full document

9

Semantic Role Labeling of Emotions in Tweets

Semantic Role Labeling of Emotions in Tweets

... of semantic role labeling of emotions in tweets described earlier in the paper, we treat the detection of emotional state and stimulus as two subtasks for which we train state-of-the-art support ... See full document

10

Low Resource Semantic Role Labeling

Low Resource Semantic Role Labeling

... We are interested in the effects of varied super- vision using pipeline and joint training for SRL. To compare to prior work (i.e., submissions to the CoNLL-2009 Shared Task), we also consider the joint task of ... See full document

11

Semantic Role Labeling Using Different Syntactic Views

Semantic Role Labeling Using Different Syntactic Views

... the syntactic representation being used for classification contains the correct ...flat syntactic represen- tation that is very different from the full parse ... See full document

8

Sentence Simplification for Semantic Role Labeling

Sentence Simplification for Semantic Role Labeling

... local syntactic transfor- mations, is more linguistically satisfying than using the entire parse path as an atomic ...Second, labeling simple sentences is much easier than labeling raw sentences and ... See full document

9

Hybrid Multilingual Parsing with HPSG for SRL

Hybrid Multilingual Parsing with HPSG for SRL

... English semantic role labeling ...the semantic role labeling part of the ...whether syntactic dependency parsing can also benefit from grammar-based parsing ... See full document

6

Semantic Role Labeling for News Tweets

Semantic Role Labeling for News Tweets

... ing syntactic parsing and SRL into a single mod- el (Musillo and Merlo, 2006; Merlo and Musillo, 2008), or by using Markov Logic Networks (MLN, Richardson and Domingos, 2005) as the learning framework (Riedel and ... See full document

9

Unsupervised Induction of Semantic Roles within a Reconstruction Error Minimization Framework

Unsupervised Induction of Semantic Roles within a Reconstruction Error Minimization Framework

... feature-rich semantic role la- beling ...a semantic role labeling model which predicts roles given a rich set of syntactic and lexi- cal features; (2) a reconstruction component: ... See full document

10

A Pipeline Approach for Syntactic and Semantic Dependency Parsing

A Pipeline Approach for Syntactic and Semantic Dependency Parsing

... CRF (Lafferty et al., 2001) annotates whether the word is a predicate or not. The FORM, LEMMA (itself, and whether the LEMMA is registered in the PropBank/NomBank frames), SPLIT FORM, SPLIT LEMMA, PPOSS within 5 token ... See full document

5

Polyglot Semantic Role Labeling

Polyglot Semantic Role Labeling

... Other polyglot models have been proposed for semantics. Richardson et al. (2018) train on mul- tiple (natural language)-(programming language) pairs to improve a model that translates API text into code signature ... See full document

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