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[PDF] Top 20 Syntactic and Semantic Problems in Automatic Sentence Generation

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Syntactic and Semantic Problems in Automatic Sentence Generation

Syntactic and Semantic Problems in Automatic Sentence Generation

... SYNTACTIC AND SEMANTIC PROBLEMS IN AUTOMATIC SENTENCE GENERATION SYNTACTIC AND SEMANTIC PROBLEMS IN AUTOMATIC SENTENCE GENERATION, ~ ~ O ~ # / Kenneth E Harper ~/v{~/ ~ ~ A program for automatic sente[.] ... See full document

9

Syntax Infused Variational Autoencoder for Text Generation

Syntax Infused Variational Autoencoder for Text Generation

... simplified syntactic sequences of PTB and wiki90M ...target syntactic tem- ...a sentence latent represen- tation, the range for SIVAE-c selecting a possible syntactic tree representation is ... See full document

10

Sentence Selection Using Latent Semantic Analysis for Automatic Question Generation in E Learning System

Sentence Selection Using Latent Semantic Analysis for Automatic Question Generation in E Learning System

... Abstract: The Current scenario of the educational system is highly utilizing computer-based technology. For the Teaching-Learning process, both the learners and teachers are highly preferred the online system i.e, ... See full document

6

Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation

Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation

... for sentence gener- ation employs cross-entropy loss as the loss ...the generation model using the es- timated semantic similarity between the out- put and reference sentences to alleviate the ... See full document

7

Semantic Tuples for Evaluation of Image to Sentence Generation

Semantic Tuples for Evaluation of Image to Sentence Generation

... The automatic generation of image cap- tions has received considerable ...with semantic anno- ...the semantic representation for the automatically generated ... See full document

11

On the Robustness of Syntactic and Semantic Features for Automatic MT Evaluation

On the Robustness of Syntactic and Semantic Features for Automatic MT Evaluation

... on automatic linguistic processors, tools which are not equally available for all languages and whose performance may vary depending on the type of analysis conducted and the applica- tion ... See full document

9

Automatic Generation of Semantic Fields for Annotating Web Images

Automatic Generation of Semantic Fields for Annotating Web Images

... our Semantic Field approach are that we could analyze mul- tiple information sources to reduce the text var- iations and the performance of our approach is independent of the training data and visual fea- ...the ... See full document

9

Evaluating the Portability of Revision Rules for Incremental Summary Generation

Evaluating the Portability of Revision Rules for Incremental Summary Generation

... The evaluation procedure consists of searching a test corpus of stock market reports for sentence pairs whose semantic and syntactic structures respectively match the triggering conditio[r] ... See full document

10

Linguistic Considerations in Automatic Question Generation

Linguistic Considerations in Automatic Question Generation

... and semantic arguments from the source sentence to form the ...the semantic arguments that provide the an- swer to the question, required fields, and filter con- dition ...for generation for a ... See full document

6

FlowGraph2Text: Automatic Sentence Skeleton Compilation for Procedural Text Generation

FlowGraph2Text: Automatic Sentence Skeleton Compilation for Procedural Text Generation

... Finally, let us take a look at the correlation of the result of three Qs with BLEU. The num- bers of grammatical errors, i.e. the answers to Q1, has a stronger correlation with BLEU than those of Q2 asking the ... See full document

5

Incremental Semantic Role Labeling with Tree Adjoining Grammar

Incremental Semantic Role Labeling with Tree Adjoining Grammar

... by semantic role la- bel annotation for every argument ...The syntactic features were obtained as follows: for every sen- tence in the training set we applied IRPA using the trained PLTAG parser, with gold ... See full document

12

An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling

An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling

... Unlike CoNLL-2008 shared task, this shared task does not need to identify predicates. So the main task of this step is to label the sense of each predi- cate and label the semantic role for each predicate. When ... See full document

6

Automatically Assessing Free Texts

Automatically Assessing Free Texts

... individual sentence of the course material as the candidate extract sentence and calculate its ROUGE similarity scores with the corresponding golden ...each sentence in the ... See full document

8

Corpus–Based Lexicographical Descriptions with a Special Focus on Pragmatics: The Case of the Slovene Lexical Database

Corpus–Based Lexicographical Descriptions with a Special Focus on Pragmatics: The Case of the Slovene Lexical Database

... While semantic prosodies are often equated with so–called ‘semantic preference’, some studies (Philip 2009) have shown that the term semantic prosody can be used loosely, incorporating what, in ... See full document

21

Information Fusion in the Context of Multi Document Summarization

Information Fusion in the Context of Multi Document Summarization

... In addition, if possible, when mapping input phrases to a SURGE syntactic input, the sentence planner tries to determine the semantic type of circumstantial by looking up the preposition[r] ... See full document

8

A Hybrid Relational Approach for WSD – First Results

A Hybrid Relational Approach for WSD – First Results

... Several of our KSs have been traditionally em- ployed in monolingual WSD (e.g., Agirre and Ste- venson, 2006), while other are specific for MT. Some of them were extracted from our sample cor- pus (Section 3.1), while ... See full document

6

Translation by Quasi Logical Form Transfer

Translation by Quasi Logical Form Transfer

... The current implementation includes analysis, transfer, and generation modules, sizable grammars with morphological, syntactic and semantic rules for English and Swedish, and an experime[r] ... See full document

8

Recovering Implicit Information

Recovering Implicit Information

... Implicit entities may be either empty syntactic constituents in sentence fragments or unfilled semantic roles associated with domain-specific verb decompo~'Jitions, in this way the task [r] ... See full document

10

Does String Based Neural MT Learn Source Syntax?

Does String Based Neural MT Learn Source Syntax?

... the syntactic behavior of an RNN-based sen- timent analyzer, including the compositionality of negation, intensification, and concessive clauses, by plotting a 60-dimensional heat map of hidden unit ... See full document

9

Language Modeling with Syntactic and Semantic Representation for Sentence Acceptability Predictions

Language Modeling with Syntactic and Semantic Representation for Sentence Acceptability Predictions

... on semantic relatedness appli- cations, and the Stanford Natural Language Infer- ence ...mal syntactic or semantic ...and semantic patterns in a way that is quite distinct from the ... See full document

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