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[PDF] Top 20 1. Review: hindi question answering system using machine learning approach

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													Review: hindi question answering system using machine learning approach

1. Review: hindi question answering system using machine learning approach

... (NLIDB), Question Answering System is relatively an Information Retrieval system which is suppose to reflect the user with the correct or closest results to the query being asked to the ... See full document

5

Classifying Questions in Question Answering System Using Finite State Machines with a Simple Learning Approach

Classifying Questions in Question Answering System Using Finite State Machines with a Simple Learning Approach

... Precision and Recall for each class is calcu- lated and is shown in Table 3 followed. From the data in Table 3, we can see that most of the ques- tions were correctly classified by the FSMs, be- cause it could find ... See full document

6

Instant Answering By Machine Learning Approach

Instant Answering By Machine Learning Approach

... and machine learning ...tri-stage system to achieve this errand, which incorporates thing phrase extraction, medicinal idea identification and medicinal idea ...further learning in the second ... See full document

7

Learning to Translate for Multilingual Question Answering

Learning to Translate for Multilingual Question Answering

... one-best question trans- lation, treating some online MT system as a black box (Adafre and van Genabith, 2009; Hartrumpf et ...that using MT as a black box is more convenient (and modular) (2012), ... See full document

12

Full Machine Translation for Factoid Question Answering

Full Machine Translation for Factoid Question Answering

... The approach of Echihabi and Marcu (2003) that uses translation proba- bilities to rank the answers achieves higher re- sults on the same data set (an MRR of ...the approach is quite different. In fact, our ... See full document

10

Image Question Answering: A Review

Image Question Answering: A Review

... on answering binary questions beginning with ‘Is’ and ‘Are’ by 15%, increase the general accuracy of the system by ...the system by just ...the approach to benchmark these algorithms by ... See full document

5

Multi Perspective Question Answering Using the OpQA Corpus

Multi Perspective Question Answering Using the OpQA Corpus

... answers. Using the corpus, we compare and contrast the properties of fact and opinion ques- tions and ...ion question answering using the OpQA corpus, we find that filtering potential answers ... See full document

8

Neural Arabic Question Answering

Neural Arabic Question Answering

... Arabic question answering (QA) us- ing Wikipedia as our knowledge ...any question to be a span of text in ...and machine reading com- ...a machine translation of the Stanford ... See full document

11

Learning surface text patterns for a Question Answering System

Learning surface text patterns for a Question Answering System

... an approach for automatically learning such regular expressions (along with determining their precision) from the web, for given types of ...the machine learning technique of bootstrapping to ... See full document

7

Machine Learning Approach for Question Answering in Information Retrieval

Machine Learning Approach for Question Answering in Information Retrieval

... Natural language processing (NLP) is a field of computer science, artificial intelligence and computational linguistics .It is concerned with the interactions between computers and human (natural) languages.It is ... See full document

8

A Machine Learning Approach to Introspection in a Question Answering System

A Machine Learning Approach to Introspection in a Question Answering System

... [r] ... See full document

8

Machine Reading as a Process of Partial Question Answering

Machine Reading as a Process of Partial Question Answering

... partial question answer- ing. This approach is appropriate for situations in which a reasonable proportion of the text's content is already known to (represented in) the ...the approach has merit, at ... See full document

9

QUESTION ANSWERING SYSTEM USING SIMILARITY AND CLASSIFICATION TECHNIQUES

QUESTION ANSWERING SYSTEM USING SIMILARITY AND CLASSIFICATION TECHNIQUES

... needs using various methods such as Natural Processing Language (NLP), and (2) classify and manage the documents that contain the candidates' answers accurately based on many methods such as machine ... See full document

7

Interactive Language Learning by Question Answering

Interactive Language Learning by Question Answering

... Most of these datasets focus on declarative knowledge and are static, with all information fully observable to a model. We contend that this setup, unlike QAit, encourages word matching. Supporting this contention, ... See full document

18

Question Answering System for Election Database Using NLP

Question Answering System for Election Database Using NLP

... on Question Answering system since 1970’s with the systems like, BASEBALL it provides answers to the questions about the American Baseball ...Automatic Question answering will ... See full document

7

Learning to Collaborate for Question Answering and Asking

Learning to Collaborate for Question Answering and Asking

... Question answering (QA) and question gener- ation (QG) are closely related tasks that could improve each other; however, the connection of these two tasks is not well explored in lit- ...the ... See full document

11

Knowledge Based Question Answering as Machine Translation

Knowledge Based Question Answering as Machine Translation

... (1) Question answering and semantic parsing are performed in an join- t way under a unified framework; (2) A robust method is proposed to map NL questions to their formal triple queries, which trades ... See full document

10

Using the Web as Corpus for Un-supervised Learning in Question Answering

Using the Web as Corpus for Un-supervised Learning in Question Answering

... the system Atlas (Automatic Transform Learning by Aligning Sentences of question and answer), which automatically learns the transforms from wh -phrases and keywords to n-grams in relevant passages ... See full document

8

Detecting the online romance scam: Recognising images used in fraudulent dating profiles

Detecting the online romance scam: Recognising images used in fraudulent dating profiles

... The online romance scam is a scam with a high financial impact as well as a high emotional impact on the victims. Neither law nor awareness campaigns have proven to be effective against this scam, so a technical solution ... See full document

66

Optimum Crop Prediction using Data Mining and Machine Learning Techniques

Optimum Crop Prediction using Data Mining and Machine Learning Techniques

... this system is collected on ground reference basis and the dataset was filled manually considering all the combinations of the ...Table 1 shows the parameters on which crop prediction will be done and the ... See full document

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