supervised approach
A Weakly supervised Approach to Argumentative Zoning of Scientific Documents
... One the key motivations for developing a weakly- supervised approach is to facilitate easy porting of schemes such as AZ to new tasks and domains. Re- cent research shows that active learning in a target ...
11
A lightly supervised approach to detect stuttering in children's speech
... The current work used a lightly supervised approach to track and identify stuttering events in a reading task. We used the original clean prompt (OP) as an approximation of a human manual transcript (that ...
6
A Minimally Supervised Approach for Detecting and Ranking Document Translation Pairs
... This paper presents and evaluates a new approach to detecting and ranking document translation pairs. We showed that this simple method achieves high precision vs. recall on parallel bilingual col- lections where ...
10
Corporate News Classification and Valence Prediction: A Supervised Approach
... The model uses a machine learning approach to do this task. We extract a set of features from the news and use them to train a set of classifiers. The best model is then used to classify the test data. One ...
7
A Semi supervised Approach for Natural Language Call Routing
... This paper reported on call classification experi- ments on large corpora using a new term rele- vance estimation approach. We propose to split the classification task into two steps: 1) cluster- ing of the ...
5
A supervised approach to taxonomy extraction using word embeddings
... When confronted with a large collection of texts a key challenge is to organize these texts into a structure that makes it easy to discover the information that is behind these texts. For example, it is common that large ...
6
A Semi-supervised Approach for Generating a Table-of-Contents
... Our learning model is a two-stage semi-supervised learning model [16]. The semantic information used in our model is derived from word clusters which are, in turn, built from a large unannotated data by an unsu- ...
6
Published Date Extraction System A semi-supervised approach of extraction
... extensive approach for PDF document along with the extraction of published date for blogs, websites, books which were not available ...Our approach is scalable and ...Our approach is mostly a mixture ...
6
Supervised Approach to Word Sense Disambiguation
... 3. Simone Paolo Ponzetto and Roberto Navigli present a methodology to automatically extend WordNet with large amounts of semantic relations from an encyclopedic resource, namely Wikipedia. They show that, when provided ...
6
EMDC: A Semi supervised Approach for Word Alignment
... This paper proposes a novel semi- supervised word alignment technique called EMDC that integrates discrimina- tive and generative methods. A discrim- inative aligner is used to find high preci- sion partial ...
9
A Supervised Approach to Extractive Summarisation of Scientific Papers
... Highlights we present the domain name graph (DNG), which is a formal expression that can keep track of cname chains and char- acterize the dynamic and diverse nature of DNS mechanisms and deployments. We develop a ...
11
A Semi Supervised Approach for Gender Identification
... Our semi-supervised learning algorithm for gender identi- fication is a modified version of the classic k nearest neigh- bors (kNN) classifier. Given a test instance, this algorithm, identifies the k instances ...
6
Keyphrase Extraction in Scientific Articles: A Supervised Approach
... This paper contains the detailed approach of automatic extraction of Keyphrases from scientific articles (i.e. research paper) using supervised tool like Conditional Random Fields (CRF). Keyphrase is a word ...
8
A Supervised Approach for Sentiment Analysis using Skipgrams
... Machine learning approaches treat polarity classification as a text categorisation problem. Texts are usually represented as vectors of features, and depending on the features used the system can reach better results. If ...
8
AUTOMATIC INFORMATION EXTRACTION FROM TEXT
... semi-supervised approach to machine learning and unsupervised approach to machine learning is in the semi-supervised approach we should give any few inputs and outputs to the system and ...
6
Texture Segmention : Comparasion between Clustering and Classification
... result, supervised classification technique have been used which is feed forward back propagation Neural ...and supervised approach is presented. Supervised approach using Feed Forward ...
5
Semi supervised deep rule based approach for image classification
... Abstract- In this paper, a semi-supervised learning approach based on a deep rule-based (DRB) classifier is introduced. With its unique prototype-based nature, the semi-supervised DRB (SSDRB) ...
28
A Supervised Learning Approach to Acronym Identification
... the supervised learning ...the supervised learning component, rather than by hand-coded ...this approach is that the supervised learning component can easily be retrained for a new ...
12
Co-Extracting Opinion Targets and Opinion Words From Online Reviews Based on The Partially Supervised Word Alignment Model
... novel approach based on the Partially Supervised Word Alignment model is proposed in a monolingual scenario to mine opinion relations in sentences and estimate the associations between opinion target ...
23
Quantitive Evaluation of Web site Content and Structure
... an approach automatically to classify and evaluate publicly accessible World Wide Web ...multi-methodological approach is chosen that comprises statistical clustering, textual analysis, supervised ...
13