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[PDF] Top 20 The Open Framework for Developing Knowledge Base And Question Answering System

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The Open Framework for Developing Knowledge Base And Question Answering System

The Open Framework for Developing Knowledge Base And Question Answering System

... QA system is a work of implementing and integrating modules of different technologies ...integrated system to reach a QA capability, which results in needs of a framework for ... See full document

5

Paraphrase Driven Learning for Open Question Answering

Paraphrase Driven Learning for Open Question Answering

... Open-domain question answering (QA) is a long- standing, unsolved ...QA system construc- tion, including gathering large databases and an- swering questions against these ...of ... See full document

11

Multi Task Learning for Conversational Question Answering over a Large Scale Knowledge Base

Multi Task Learning for Conversational Question Answering over a Large Scale Knowledge Base

... for knowledge-based question answer (KB- QA) in recent years since it does not rely on hand- crafted features and is easy to adapt across do- ...stepwise framework to handle this ...linking ... See full document

10

Interactive Instance based Evaluation of Knowledge Base Question Answering

Interactive Instance based Evaluation of Knowledge Base Question Answering

... to Knowledge Base Ques- tion Answering are based on semantic pars- ...of question answering systems that construct a structured semantic represen- tation for the input ...building ... See full document

6

Hybrid Question Answering over Knowledge Base and Free Text

Hybrid Question Answering over Knowledge Base and Free Text

... the system to answer more open questions to some extent, we still fail at answering some semantically complex questions such as what is the second longest river in USA involving aggregation ... See full document

11

UHop: An Unrestricted Hop Relation Extraction Framework for Knowledge Based Question Answering

UHop: An Unrestricted Hop Relation Extraction Framework for Knowledge Based Question Answering

... for knowledge-based question answering, searching from one en- tity to another entity via a single relation is called “one ...the knowledge graph is necessary but expen- ...search ... See full document

12

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

... Domain Question Answering (QA) is evolving from complex pipelined systems to end-to-end deep neural ...or Knowledge Bases (KBs) ...a question-specific subgraph containing text and KB entities ... See full document

12

Improving Question Answering with External Knowledge

Improving Question Answering with External Knowledge

... external knowledge, es- pecially unstructured knowledge, into this power- ful framework to further improve subject-area ...(i.e., open-domain and in-domain), which have proven effective for ... See full document

11

PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text

PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text

... integrated framework for (1) learning what to retrieve, from either a cor- pus, a KB, or a combination, and (2) combining this heterogeneous information into a single data structure that allows the system ... See full document

11

Improved Neural Relation Detection for Knowledge Base Question Answering

Improved Neural Relation Detection for Knowledge Base Question Answering

... above open-domain ca- ...both question and rela- tion ...ative framework for single-relation KBQA which predicts relation with a character-level sequence- to-sequence ... See full document

11

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

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

... of developing and modeling question answering and keyword search tools for Information Retrieval ...[3]–[6]. Question Answering Systems incorporate natural language statements or ... See full document

6

Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base

Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base

... the question “Who first voiced Meg on Family Guy?” to FamilyGuy (the TV show) in the knowledge base, the procedure needs only to examine the predicates that can be applied to FamilyGuy instead of all ... See full document

11

Developing an Approach for Why Question Answering

Developing an Approach for Why Question Answering

... The questions in the test collections from the TREC-QA track do contain links to the possible answers and the corresponding source documents. However, these collections contain too few why-questions to qualify as a data ... See full document

8

An End to End Model for Question Answering over Knowledge Base with Cross Attention Combining Global Knowledge

An End to End Model for Question Answering over Knowledge Base with Cross Attention Combining Global Knowledge

... the question to find out which part of the question should be more fo- cused (handling ...the question again, until the all the aspects are ...between question and answer should be a weighted ... See full document

11

Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base

Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base

... The semantic parsing approach which often re- quires the human annotated logical form may in- crease the cost of obtaining training data. Although the use of rule-based method to generate logical forms can reduce the use ... See full document

10

Ranking and Sampling in Open Domain Question Answering

Ranking and Sampling in Open Domain Question Answering

... graph for extracting the answer with the highest confidence. Das et al. (2019) introduced a new framework to make use of the result of the reader for improved paragraph retrieval. However, these models suffer from ... See full document

10

Experiments with Open Domain Textual Question Answering

Experiments with Open Domain Textual Question Answering

... coling2k dvi Experiments with Open Domain Textual Question Answering Sanda M Harabagiu and Marius A Pa?sca and Steven J Maiorano Department of Computer Science and Engineering Southern Methodist Unive[.] ... See full document

7

Open Domain Voice Activated Question Answering

Open Domain Voice Activated Question Answering

... ????????? ??? ???????????????????????? ?"!#?$?%?'&)(+*,?' ? ?/???0?1?, 324??56???,7 8?9 ?;?94<=9?>@9?A?9?BDCFE?G?H?I?JK9 MLONDPF;'N3Q%9 R,SUT G?V?WYX S HZW\[?] ^?[`X T%a W S Vcbedgf S H?d S h H?fji S[.] ... See full document

7

Performance Issues and Error Analysis in an Open Domain Question Answering System

Performance Issues and Error Analysis in an Open Domain Question Answering System

... Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics ACL, Philadelphia, July 2002, pp... Question System Modules.[r] ... See full document

8

Framework for Question Answering in Sanskrit through Automated Construction of Knowledge Graphs

Framework for Question Answering in Sanskrit through Automated Construction of Knowledge Graphs

... extracts knowledge present in a structured form on Wikipedia by template detection using pattern matching coupled with post-processing for quality ...building knowledge graphs in saṃskṛta ... See full document

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