Sentence examples similar to syntactic module from inspiring English sources

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As a preprocessing module, syntactic simplification can be used to prune irrelevant constructs from shallow parsing results (4), parse trees (5), dependency graphs (6), or to produce different versions of the original sentence by splitting it in multiple sentences or by combining constituents (7 9).

Module 2 attempts to rank more relevantly the set of candidates provided by the first module using morpho-syntactic disambiguation tools.

eFIP integrates eGRAB and RLIMS-P for the retrieval of all documents relevant to a particular phosphorylated protein, and a PPI module that relies on syntactic patterns to extract interacting partners.

These phrases were syntactically ambiguous between different syntactic roles.

However, several challenges to module and system development remain, including syntactic errors, semantic errors, parameter mismatches, contextual sensitivity, noise and evolution, and load and stress.

The OntoGene text-mining system is based on a standard NLP pipeline, composed of efficient modules for sentence splitting, tokenization, entity recognition, syntactic chunking and dependency parsing.

Although the summary is short, coherent, information rich and less redundant, there are some limitations in this method: some information items which are difficult for creating meaningful and grammatical sentences can be eliminated; in information item retrieval module, if the parser could not parse correctly the syntactic tree, then the linguistic quality of summaries is low.

The NLP modules used for the annotation include (but not limited to) a deep syntactic analyzer, an event expression recognizer (EER) and a term recognizer.

We apply a machine learning module based on an eXtended Semantic Enumeration (XSE) tree to activate linguistic tests from semantic, syntactic, and pragmatic analyses during the traversal of the tree.

The sentence simplification module named iSimp (58) produces one or more simple sentences from a given sentence by reducing its syntactic complexity (http://research.bioinformatics.udel.edu/isimp/).edu/isimp/

Our brains are syntactic engines.

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