Transducing Sentences to Syntactic Feature Vectors: an Alternative Way to Parse?
نویسندگان
چکیده
Classification and learning algorithms use syntactic structures as proxies between source sentences and feature vectors. In this paper, we explore an alternative path to use syntax in feature spaces: the Distributed Representation “Parsers” (DRP). The core of the idea is straightforward: DRPs directly obtain syntactic feature vectors from sentences without explicitly producing symbolic syntactic interpretations. Results show that DRPs produce feature spaces significantly better than those obtained by existing methods in the same conditions and competitive with those obtained by existing methods with lexical information.
منابع مشابه
Discriminative Word Alignment with Syntactic Features
This report introduces a study on syntactic features used in a discriminative word alignment model. The features are implemented on a state-of-the-art discriminative word alignment system. The syntactic features are extracted from parse trees. Three types of syntactic features are experimented in this work: one global tree path feature and two first order tree features. Experimental results sho...
متن کاملFeature Engineering in Persian Dependency Parser
Dependency parser is one of the most important fundamental tools in the natural language processing, which extracts structure of sentences and determines the relations between words based on the dependency grammar. The dependency parser is proper for free order languages, such as Persian. In this paper, data-driven dependency parser has been developed with the help of phrase-structure parser fo...
متن کاملIdentifying Syntactic Ambiguities in Single-Parse Arabic Sentence
The aim of this paper is to describe a technique for identifying the sources of several types of syntactic ambiguity in Arabic Sentences with a single parse only. Normally, any sentence with two or more structural representations is said to be syntactically ambiguous. However, Arabic sentences with only one structural representation may be ambiguous. Our technique for identifying Syntactic Ambi...
متن کاملCoping with Syntactic Ambiguity or How to Put the Block in the Box on the Table
Sentences are far more ambiguous than one might have thought. There may be hundreds, perhaps thousands, of syntactic parse trees for certain very natural sentences of English. This fact has been a major problem confronting natural language processing, especially when a large percentage of the syntactic parse trees are enumerated during semantic/pragmatic processing. In this paper we propose som...
متن کاملKernel-Based Pronoun Resolution with Structured Syntactic Knowledge
Syntactic knowledge is important for pronoun resolution. Traditionally, the syntactic information for pronoun resolution is represented in terms of features that have to be selected and defined heuristically. In the paper, we propose a kernel-based method that can automatically mine the syntactic information from the parse trees for pronoun resolution. Specifically, we utilize the parse trees d...
متن کامل