搜索结果: 1-12 共查到“应用语言学 Annotation”相关记录12条 . 查询时间(0.086 秒)
Reflections on the Penn Discourse TreeBank,Comparable Corpora,and Complementary Annotation
Penn Discourse TreeBank Comparable Corpora Complementary Annotation
2015/9/14
The Penn Discourse Treebank (PDTB) was released to the public in 2008. It remains the largest manually annotated corpus of discourse relations to date. Its focus on discourse relations that are either...
Wide-Coverage Deep Statistical Parsing Using Automatic Dependency Structure Annotation
Wide-Coverage Deep Statistical Parsing Automatic Dependency Structure Annotation
2015/9/6
A number of researchers have recently conducted experiments comparing “deep” hand-crafted wide-coverage with “shallow” treebank- and machine-learning-based parsers at the level of dependencies, using ...
Error Driven Paraphrase Annotation using Mechanical Turk
Error Driven Paraphrase Annotation Mechanical Turk
2015/9/2
The source text provided to a machine translation system is typically only one of many ways the input sentence could have been expressed, and alternative forms of expression can often produce a better...
On Coreferring:Coreference in MUC and Related Annotation Schemes
Coreferring:Coreference MUC Related Annotation Schemes
2015/8/25
In this paper, it is argued that “coreference” annotations, as performed in the MUC community for example, go well beyond annotation of the relation of coreference proper. As a result, it is not alway...
Solving the Problem of Cascading Errors:Approximate Bayesian Inference for Linguistic Annotation Pipelines
Problem of Cascading Errors Approximate Bayesian Inference Linguistic Annotation Pipelines
2015/6/12
The end-to-end performance of natural language processing systems for compound tasks, such as question answering and textual entailment, is often hampered by use of a greedy 1-best pipeline architectu...
LAF-Fabric: a data analysis tool for Linguistic Annotation Framework with an application to the Hebrew Bible
LAF-Fabric data analysis tool Linguistic Annotation Framework the Hebrew Bible
2015/5/6
The Linguistic Annotation Framework (LAF) provides a general, extensible stand-off markup system for corpora. This paper discusses LAF-Fabric, a new tool to analyse LAF resources in general with an ex...
LAT Bridge: Bridging tools for annotation and exploration of rich linguistic data
LAT Bridge Bridging tools for annotation rich linguistic data
2015/4/9
We present a software module, the LAT Bridge, which enables bidirectional communication between the annotation and exploration tools developed at the Max Planck Institute for Psycholinguistics as part...
Automatic Adaptation of Annotation Standards: Chinese Word Segmentation and POS Tagging – A Case Study
Automatic Adaptation of Annotation Standards Chinese Word Segmentation POS Tagging A Case Study
2013/4/22
Manually annotated corpora are valuable but scarce resources, yet for many anno-tation tasks such as treebanking and se-quence labeling there exist multiple cor-pora withdifferentandincompatible anno-...
Incorporating Prior Knowledge into Multi-label Boosting for Cross-Modal Image Annotation and Retrieval
Cross-Modal Image Annotation Retrieval
2015/1/24
Automatic image annotation (AIA) has proved to be an effective and promising solution to automatically deduce the high-level semantics from low-level visual features. In this paper, we formulate the t...
Semi-supervised Learning for Image Annotation Based on Conditional Random Fields（图）
Image Annotation Conditional Random Fields
2015/1/24
Automatic image annotation (AIA) has been proved to be an effective and promising solution to automatically deduce the high-level semantics from low-level visual features. Due to the inherent ambiguit...
Automatic Image Annotation Based on WordNet and Hierarchical Ensembles（图）
WordNet Hierarchical Ensembles
2015/1/24
Automatic image annotation concerns a process of automatically labeling image contents with a pre-defined set of keywords, which are regarded as descriptors of image high-level semantics, so as to ena...
Automatic Image Annotation Using Maximum Entropy Model（图）
Automatic Image Annotation Maximum Entropy Model
2015/1/24
Automatic image annotation is a newly developed and promising technique to provide semantic image retrieval via text descriptions. It concerns a process of automatically labeling the image contents wi...