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[PDF] Top 20 A Paraphrase Generation System for EHR Question Answering

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A Paraphrase Generation System for EHR Question Answering

A Paraphrase Generation System for EHR Question Answering

... standard paraphrase evaluation metrics such as BLEU (Papineni et ...each question in our corpus, we calculate these metrics for the gen- erated paraphrases against all the available ground truth ... See full document

10

ComQA: A Community sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters

ComQA: A Community sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters

... factoid question an- swering (QA) and what users ask, we need large datasets of real user questions that cap- ture the various question phenomena users are interested in, and the diverse ways in which these ... See full document

11

Instance Based Generation for Interactive Restricted Domain Question Answering Systems

Instance Based Generation for Interactive Restricted Domain Question Answering Systems

... In our case, however, a template-based approach is unrealistic. This is due to the unstructured back-end application. Unlike as spoken dialogue systems, we cannot make assumptions over what kind of questions to ask as ... See full document

12

Answer planning based answer generation for cooking question answering system

Answer planning based answer generation for cooking question answering system

... retrieval system for cooking recipes was developed in Ref.[1]. This system searches for recipes according to the search condition input by users, classifies the materials of recipes into food groups, and ... See full document

7

Semi supervised Training Data Generation for Multilingual Question Answering

Semi supervised Training Data Generation for Multilingual Question Answering

... for question answering (QA) research have been released, such as SQuAD, Marco, WikiQA, MCTest, and ...Korean Question Answering Dataset (K-QuAD), by using automatically translated SQuAD and a ... See full document

5

Addressing Semantic Drift in Question Generation for Semi Supervised Question Answering

Addressing Semantic Drift in Question Generation for Semi Supervised Question Answering

... Next, in terms of QG evaluation, previous works have mostly adopted popular automatic evaluation metrics, like BLEU, METEOR, etc. However, we observe that these metrics often fall short in properly evaluating the quality ... See full document

15

Evolution of Techniques for Question Answering over Knowledge Base: A Survey

Evolution of Techniques for Question Answering over Knowledge Base: A Survey

... the generation of query graphs, formulated as a problem of staged search and their method leverages knowledge base for pruning the search space at an early stage and thus simplifies the issue of semantic ...visual ... See full document

6

Paraphrase for Open Question Answering: New Dataset and Methods

Paraphrase for Open Question Answering: New Dataset and Methods

... entities are linked to Freebase, which will identify entities that represent one object but with different instances. Secondly, the triple is associated with the parsed sentences and the document ID, which can provide ... See full document

9

Paraphrase Driven Learning for Open Question Answering

Paraphrase Driven Learning for Open Question Answering

... the question under- standing framework to produce more complex queries, constructed within a compositional se- mantic framework, but without sacrificing scala- ...the system with other large databases like ... See full document

11

Learning to Paraphrase for Question Answering

Learning to Paraphrase for Question Answering

... years. Question answering (QA) is challeng- ing due to the many different ways natural lan- guage expresses the same information ...QA system must recognize that the questions “who created microsoft” ... See full document

12

Deep Learning Approaches to Text Production

Deep Learning Approaches to Text Production

... language generation, understanding and structured ...as question answering, paraphrase generation, semantic and syntactic parsing, document understanding and summarization, and text ... See full document

6

Cognitive Functionality based Question Answering System

Cognitive Functionality based Question Answering System

... for answering clinical questions which allow physicians to enter a question naturally with minimal query formulation and allows physicians to efficiently navigate among all the answer sentences to quickly ... See full document

6

A Question Answering System Supported by Information Extraction

A Question Answering System Supported by Information Extraction

... Process Question Shallow parse question Determine Asking Point Question expansion using word lists Process Documents Tokenization, POS tagging, NE Indexing Shallow Parsing not yet utiliz[r] ... See full document

7

Operating Statistics for the Transformational Question Answering System

Operating Statistics for the Transformational Question Answering System

... Permission to copy without fee all or part of this material is granted provided that the copies are not made for direct commercial advantage and the Journal reference and this copyright [r] ... See full document

13

A Survey of Natural Language Question Answering System

A Survey of Natural Language Question Answering System

... IR system takes a user‟s query as input and returns a set of documents sorted by their relevance to the ...etc...).Question answering is an information retrieval task constrained by an expression of ... See full document

5

HPI Question Answering System in BioASQ 2016

HPI Question Answering System in BioASQ 2016

... the system (HPI1) successfully participated in the previous editions of the BioASQ challenge (Neves, 2015) and our second system (HPI2) is described in this ... See full document

7

UNCC QA: Biomedical Question Answering system

UNCC QA: Biomedical Question Answering system

... for answering ideal, factoid , list and yes/no ...for answering ideal ques- ...a system for getting yes/no, factoid, list and summary type ...the system selects snip- pets with greatest ... See full document

6

A Biomedical Question Answering System in BioASQ 2017

A Biomedical Question Answering System in BioASQ 2017

... the question. Zhang et al. (2015) have described USTB biomedical QA system in the 2015 BioASQ ...OAQA system in BioASQ 4b based on NLP an- notators, machine learning algorithms for search result ... See full document

6

On Generating Characteristic rich Question Sets for QA Evaluation

On Generating Characteristic rich Question Sets for QA Evaluation

... We now describe an algorithm to generate the query template shown in Figure 1(b) (excluding the function for now). For simplicity, we will focus on the case of a single question node. Nevertheless, the proposed ... See full document

11

Question Analysis for Polish Question Answering

Question Analysis for Polish Question Answering

... A question focus removal (applied by Moldovan et ...the question Który znany malarz twierdził, ˙ze ob- ci ˛ał sobie ...the question fo- cus znany malarz are not absolutely necessary in a source ... See full document

7

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