- Study on Supervised Learning of Vietnamese Word Sense ...🔍
- Contrastive Study and Review of Word Sense Disambiguation ...🔍
- Self|Supervised Chinese Ontology Learning from Online ...🔍
- International Symposium on Neural Networks 2005🔍
- Learning Entity Representation for Named Entity Disambiguation🔍
- A Minimally Supervised Word Sense Disambiguation Algorithm ...🔍
- Mining Translations of Chinese Names from Web Corpora Using a ...🔍
- a pilot study of fán 煩 “to annoy/be🔍
Chinese syntactic category disambiguation using support vector ...
Study on Supervised Learning of Vietnamese Word Sense ... - J-Stage
LIBSVM: a library for support vector machines. Software available at ... “Automatic Sense Disambiguation Using Machine Readable Dictionaries: How to ...
Contrastive Study and Review of Word Sense Disambiguation ...
Han et al., (2017) [18], build overlapped Lesk based WSD using semantic and syntactic relations between context vector and sense definitions.
Self-Supervised Chinese Ontology Learning from Online ... - NCBI
The classification model we use is Support Vector Machine (SVM) [36]. ... In the aspect of quantity, there are only 7,622 category labels in ...
SRW - Abstracts • ACL 2007, Prague
Automatic Prediction of Cognate Orthography Using Support Vector Machines. Andrea Mulloni. This paper describes an algorithm to automatically generate a ...
International Symposium on Neural Networks 2005
Chinese Syntactic Category Disambiguation Using Support Vector Machines. 246-250. Electronic Edition (link) BibTeX · Zhiqing Meng, Hongcan Zhu, Yihua Zhu ...
Learning Entity Representation for Named Entity Disambiguation
Our method is applied to the Chinese named entity recognition and disambiguation(NERD) Task in the ... and trained Support Vector Machine(SVM) to classify ...
A Minimally Supervised Word Sense Disambiguation Algorithm ...
A Minimally Supervised Word Sense Disambiguation Algorithm Using Syntactic Dependencies and Semantic Generalizations ... Natural language is inherently ambiguous ...
Mining Translations of Chinese Names from Web Corpora Using a ...
Isahara,. “Using a Support-Vector Machine for Japanese-to-. English Translation of Tense, Aspect, and Modality,”. Annual Meeting of the ACL archive Proceedings ...
a pilot study of fán 煩 “to annoy/be
The data used in the study is from Mandarin VerbNet, an online semantic lexicon of Mandarin ... disambiguation with support vector machines and multiple knowledge ...
Labeling Chinese Predicates with Semantic Roles
It is much harder to derive these semantic concepts from the underlying syntactic representation because an. 2. Page 3. Xue. Semantic Role Labeling of Chinese ...
The Discriminativeness of Internal Syntactic Representations in ...
Text categorization with support vector machines: Learning with many relevant features. In Proceedings of European Conference of Machine.
PART OF SPEECH TAGGER FOR ARABIC TEXT BASED SUPPORT ...
in Bengali using Support Vector Machine”, Proceedings of. IEEE International Conference on Information Technology, pp. 106-111, 2008. [15] D.D. Pham, G.B. ...
oa Filtered collocations as features in verbal polysemy disambiguation
We have conducted a fine-grained logical polysemy disambiguation task, taking the open-sourced Leiden Weibo Corpus as resource and computing ...
A Literature Survey on Word Sense Disambiguation for the Hindi ...
It begins by representing words through context vectors, which are then organized into clusters. Each cluster is corresponding to a sense of the ...
Bi-GRU Sentiment Classification for Chinese Based on Grammar ...
However, the complexity of Chinese grammar makes the performance of the existing Chinese sentiment classification model not perform well. In ...
Abstract. In this paper, we attempt to automatically annotate the Penn. Chinese Treebank with semantic dependency structure. Ini-.
Speculation Detection for Chinese Clinical Notes: Impacts of Word ...
We demonstrate that word segmentation is critical to produce high quality word embedding to facilitate downstream information extraction ...
DISCRIMINATIVE LEARNING APPROACHES FOR THE ...
In this thesis we study algorithms for the syntactic analysis of the Chinese language. Given a Chinese sentence, such algorithms produce its syntactic structure ...
OPTIMIZATION OF WORD SENSE DISAMBIGUATION USING ...
Classification is a supervised learning problem of assigning an object to one of several pre-defined categories based upon the attributes of the object. While, ...
Question Classification using Semantic, Syntactic and Lexical features
Limited researches have focused on question classification for Arabic question answering. In this research we used support vector machine (SVM) and pattern ...