نتایج جستجو برای: syntactic dependency parsing

تعداد نتایج: 79646  

2004
Alexander F. Gelbukh Grigori Sidorov Sang-Yong Han Erika Hernández-Rubio

The paper presents a method of automatic enrichment of a very large dictionary of word combinations. The method is based on results of automatic syntactic analysis (parsing) of sentences. The dependency formalism is used for representation of syntactic trees that allows for easier treatment of information about syntactic compatibility. Evaluation of the method is presented for the Spanish langu...

2014
Marwa Ragheb Markus Dickinson

We present a study on the dependency parsing of second language learner data, focusing less on the parsing techniques and more on the effect of the linguistic distinctions made in the data. In particular, we examine syntactic annotation that relies more on morphological form than on meaning. We see the effect of particular linguistic decisions by: 1) converting and transforming a training corpu...

2016
Yevgeni Berzak Yan Huang Andrei Barbu Anna Korhonen Boris Katz

We present a study on two key characteristics of human syntactic annotations: anchoring and agreement. Anchoring is a well known cognitive bias in human decision making, where judgments are drawn towards preexisting values. We study the influence of anchoring on a standard approach to creation of syntactic resources where syntactic annotations are obtained via human editing of tagger and parser...

2015
Zhihua Liao Qixian Zeng Qiyun Wang

Existing semantic parsing research has steadily improved accuracy on a few domains and their corresponding meaning representations. In this paper, we present a novel supervised semantic parsing algorithm, which includes the lexicon extension and the syntactic supervision. This algorithm adopts a large-scale knowledge base from the open-domain Freebase to construct efficient, rich Combinatory Ca...

2015
Chad Mills Gina-Anne Levow

We describe a system for semantic role labeling adapted to a dependency parsing framework. Verb arguments are predicted over nodes in a dependency parse tree instead of nodes in a phrase-structure parse tree. Our system participated in SemEval-2015 shared Task 15, Subtask 1: CPA parsing and achieved an Fscore of 0.516. We adapted features from prior semantic role labeling work to the dependency...

Journal: :CoRR 2015
Dominick Ng Mohit Bansal James R. Curran

We develop novel firstand second-order features for dependency parsing based on the Google Syntactic Ngrams corpus, a collection of subtree counts of parsed sentences from scanned books. We also extend previous work on surface n-gram features from Web1T to the Google Books corpus and from first-order to second-order, comparing and analysing performance over newswire and web treebanks. Surface a...

Journal: :CoRR 2016
Yevgeni Berzak Yan Huang Andrei Barbu Anna Korhonen Boris Katz

We present a study on two key characteristics of human syntactic annotations: anchoring and agreement. Anchoring is a well known cognitive bias in human decision making, where judgments are drawn towards preexisting values. We study the influence of anchoring on a standard approach to creation of syntactic resources where syntactic annotations are obtained via human editing of tagger and parser...

2018

Research in syntactic parsing is largely driven by progress in intrinsic evaluation and there have been impressive developments in recent years in terms of evaluation measures, such as F-score or labeled accuracy. At the same time, a range of different syntactic representations have been put to use in treebank annotation projects and there have been studies measuring various aspects of the ”lea...

2015
Erick Rocha Fonseca Sandra M. Aluísio

Graph-based dependency parsing algorithms commonly employ features up to third order in an attempt to capture richer syntactic relations. However, each level and each feature combination must be defined manually. Besides that, input features are usually represented as huge, sparse binary vectors, offering limited generalization. In this work, we present a deep architecture for dependency parsin...

2009
Bharat Ram Ambati Pujitha Gade Chaitanya G. S. K. Samar Husain

In many languages general syntactic cues are insufficient to disambiguate crucial relations in the task of Parsing. In such cases semantics is necessary. In this paper we show the effect of minimal semantics on parsing. We did experiments on Hindi, a morphologically rich free word order language to show this effect. We conducted experiments with the two data-driven parsers MSTPaser and MaltPars...

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