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[PDF] Top 20 A Ranking Approach to Extracting Relevant Answer for QA System

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A Ranking Approach to Extracting Relevant Answer for QA System

A Ranking Approach to Extracting Relevant Answer for QA System

... Previous system Developed a hierarchical framework toidentify the predictive factors for obtaining a high quality answer based on textual and non-textual ...Existing system introduced a general ... See full document

7

A Nil Aware Answer Extraction Framework for Question Answering

A Nil Aware Answer Extraction Framework for Question Answering

... valid answer in the associated passage. A practical QA system must possess the ability to determine whether a valid answer exists in a given text ...developing QA sys- tems that can ... See full document

10

Flexible Answer Typing with Discriminative Preference Ranking

Flexible Answer Typing with Discriminative Preference Ranking

... tire QA system based on maximum entropy com- ponents in addition to the question classifier dis- cussed ...the system use non-learned components in addition to learned components (Prager et ...I ... See full document

9

Learning to Translate for Multilingual Question Answering

Learning to Translate for Multilingual Question Answering

... for ranking question-answer pairs, it is required to perform a post-retrieval merge: each approach generates a ranked list of answers, which are then merged into a final ranked ...combination ... See full document

12

A statistical approach for Non Sentential Utterance Resolution for Interactive QA System

A statistical approach for Non Sentential Utterance Resolution for Interactive QA System

... to-question approach to generate a set of candi- date questions and used various scoring methods to generate scores for the generated ...proposed approach has significantly better per- formance than a rule ... See full document

9

A Joint Model for Answer Sentence Ranking and Answer Extraction

A Joint Model for Answer Sentence Ranking and Answer Extraction

... correct answer chunk “Steve Sloan” appears in all four candidate sentences, of which only the first is actually relevant to the ques- ...of answer extraction systems: metrics that assess performance ... See full document

14

Minimum Bayes Risk based Answer Re ranking for Question Answering

Minimum Bayes Risk based Answer Re ranking for Question Answering

... the QA task and describe two types of QA systems with differ- ent pros and ...the answer candidates from single and multiple QA systems ...our approach and pre- vious work is discussed ... See full document

5

JUST ASK, a QA system that learns to answer new questions from previous interactions

JUST ASK, a QA system that learns to answer new questions from previous interactions

... of relevant passages for the posed ...multi-strategy approach to passage retrieval, with each strategy tailored to a specific group of question cate- ...retrieve relevant passages from unstructured ... See full document

5

ReQA: An Evaluation for End to End Answer Retrieval Models

ReQA: An Evaluation for End to End Answer Retrieval Models

... a QA pair can be computed by taking their dot- product, as in Henderson et ...of relevant answers us- ing approximate nearest neighbor search, which is sub-linear in the number of documents, and in practice ... See full document

10

Learner’s Performance Evaluation based on Knowledge Extracting and Ontology

Learner’s Performance Evaluation based on Knowledge Extracting and Ontology

... learner’s answer [3].However, most of the test scoring in e-learning system is for true-false, multi-choice and fill in blank questions which allow the learner to select signal answer [4-6] and they ... See full document

6

A Utility Driven Approach to Question Ranking in Social QA

A Utility Driven Approach to Question Ranking in Social QA

... retrieval system in which weighted combinations of simi- larity functions corresponding to questions, exist- ing answers, FAQ titles and pages are computed using a vector space ... See full document

9

Framing QA as Building and Ranking Intersentence Answer Justifications

Framing QA as Building and Ranking Intersentence Answer Justifications

... correct answer, but also provide a formally valid justification for that ...some QA systems have sought to answer questions by cre- ating formal proofs driven by logic reasoning (Moldovan et ...2013) ... See full document

43

Benchmarking of Problems and Solvers: A Ranking Theory Approach

Benchmarking of Problems and Solvers: A Ranking Theory Approach

... In this paper, we will offer new methods of benchmarking which are based on the special construction of the score-matrices for problems and solvers in a benchmarking context  S P J , ,  . Having these matrices at our ... See full document

5

1.
													The designing and applications of expert systems in the sciences

1. The designing and applications of expert systems in the sciences

... Expert system structure may be effectively described with the help of a diagram as shown in the figure-1, which contains important components of the ...based system, case-specific data will be included in ... See full document

7

A Multimodal Approach to Improve the Performa...

A Multimodal Approach to Improve the Performa...

... biometric system. Filtering and system parameters tuning require an accurate classification of a user into a particular class ...biometric approach can be used for continuous user authentication by ... See full document

7

Detecting Nastiness in Social Media

Detecting Nastiness in Social Media

... acter. It is good to see that the classifier has learned to discriminate between neutral and invec- tive words. The most interesting point obtained from this table is that the second-person pronoun is ranked as one of ... See full document

10

<p>Very Short Answer Questions: A Novel Approach To Summative Assessments In Pathology</p>

<p>Very Short Answer Questions: A Novel Approach To Summative Assessments In Pathology</p>

... Figure 1 Example of computer-marking of a Very Short Answer question (VSAQ). The answers shown in green match those on the list of possible answers and are automatically assigned a mark (1.00). The amber ... See full document

6

International Journal of Emerging Technology and Advanced Engineering

International Journal of Emerging Technology and Advanced Engineering

... to answer proper. We design a system, that is semantic web and ontology base efficient and intelligent question answering system, that provides semantic results to the ...the system, that is ... See full document

10

Question Answering Dialogue System: A Brief ReviewLovely Sharma, Vijay Dhir, Kamaljeet Kaur

Question Answering Dialogue System: A Brief ReviewLovely Sharma, Vijay Dhir, Kamaljeet Kaur

... accurate answer in “weather forecasting” domain. The system works to parse the query of user by syntax and semantic relation among ...candidate answer document and pass it to answer processing ... See full document

8

Sentiment Classification towards Question Answering with Hierarchical Matching Network

Sentiment Classification towards Question Answering with Hierarchical Matching Network

... in QA-style text, the question and answer text are more likely to be two parallel units rather than a sequence ...in Answer 1 actually does not follow sentence “How is the battery?” in Question 1 , ... See full document

10

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