Results 41 to 50 of about 438,874 (275)
Conditional Random Fields for Metaphor Detection [PDF]
We present an algorithm for detecting metaphor in sentences which was used in Shared Task on Metaphor Detection by First Workshop on Figurative Language Processing. The algorithm is based on different features and Conditional Random Fields.
Anna Mosolova +2 more
openaire +1 more source
Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework
The use of high-volume quantitative radiomics features extracted from multi-parametric magnetic resonance imaging (MP-MRI) is gaining attraction for the autodetection of prostate tumors, since it provides a plethora of mineable data, which can be used ...
Audrey G. Chung +4 more
doaj +1 more source
Conditional random fields for activity recognition [PDF]
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we compare two models for temporal classification: hidden Markov models (HMMs), which have long been applied to the activity recognition problem, and conditional random fields ...
Douglas L. Vail +2 more
openaire +1 more source
Camera matching based on spatiotemporal activity and conditional random field model
In this study, the authors investigate how to find correspondences (pixel‐level matches) between two video sequences with overlapping views, recorded by different stationary uncalibrated video cameras, without imposing any constrains on, or requiring any
Liu Xiaokai, Wang Hongyu, Gao Hongbo
doaj +1 more source
Chunking in Turkish with Conditional Random Fields
In this paper, we report our work on chunking in Turkish. We used the data that we generated by manually translating a subset of the Penn Treebank. We exploited the already available tags in the trees to automatically identify and label chunks in their Turkish translations.
Olcay Taner Yildiz +3 more
openaire +2 more sources
Table extraction using conditional random fields [PDF]
The ability to find tables and extract information from them is a necessary component of data mining, question answering, and other information retrieval tasks. Documents often contain tables in order to communicate densely packed, multi-dimensional information.
Pinto, David +3 more
openaire +2 more sources
Chinese Sequence Labeling Based on Stack Pre-training Model
Sequence labeling is an important task in natural language processing. In this paper, according to the relevance of tasks, we use stacking pretraining model to extract features, segment words, and name entity recognition/chunk tagging.Through in-depth ...
LIU Yu-peng, LI Guo-dong
doaj +1 more source
A Conditional Random Field for Multiple-Instance Learning [PDF]
We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines discriminative unary instance classifiers and pairwise dissimilarity measures.
Deselaers, T., Ferrari, V.
core +1 more source
Clause Splitting with Conditional Random Fields
In this paper, we present a Conditional Random Fields (CRFs) framework for the Clause Splitting problem. We adapt the CRFs model to this problem in order to use very large sets of arbitrary, overlapping and non-independent features. We also extend N-best list by using the Joint-CRFs (Shi and Wang 2007).
Vinh Van Nguyen +2 more
openaire +2 more sources
Viktoriia Shtefan, Thorgund Nemec, Ute Hempel, Annett Gebert and coworkers demonstrate that anodic treatment of Ti–Cu‐based metallic glass in a nontoxic pyrophosphate electrolyte forms a protective bilayered Ti/Zr‐oxide film enriched with Cu nanocrystals.
Viktoriia Shtefan +8 more
wiley +1 more source

