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[PDF] Top 20 Mining Knowledge Bases for Question & Answers Websites

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Mining Knowledge Bases for Question & Answers Websites

Mining Knowledge Bases for Question & Answers Websites

... Mining Knowledge Bases for Question&Answers Websites 9 They also leveraged the number of edits as a quality feature, marking as high quality if the number of questions were ... See full document

58

Interpretable Question Answering on Knowledge Bases and Text

Interpretable Question Answering on Knowledge Bases and Text

... We only present annotators with query instances for which both models output the same answer. However, we do not restrict these answers to be the ground truth. We perform the study with three explanation methods: ... See full document

9

Mining Semi-Structured Online Knowledge Bases to Answer Natural Language Questions on Community QA Websites

Mining Semi-Structured Online Knowledge Bases to Answer Natural Language Questions on Community QA Websites

... text mining problem which has clear difference from the existing information retrieval and ques- tion answering ...the answers expected are all quite different from those in our ...the question text ... See full document

10

QUINT: Interpretable Question Answering over Knowledge Bases

QUINT: Interpretable Question Answering over Knowledge Bases

... correct answers are re- turned, and (ii) making sense of the limitations of the system by looking at explanations for wrong answers, possibly providing cues to work around ... See full document

6

Finding Answers to Definition Questions Using Web Knowledge Bases

Finding Answers to Definition Questions Using Web Knowledge Bases

... on Question Answering concern more complex questions than factoid ...accurate answers still becomes a core problem for definition ...web knowledge bases to improve answer acquisition, we ... See full document

9

Rule mining in maintenance: analysing large knowledge bases

Rule mining in maintenance: analysing large knowledge bases

... only knowledge on the maintenance domain was initially expected, it has been interesting to notice that many difficulties in data entry were detected, for instance through rules mentioning empty fields, that may ... See full document

16

Open Question Answering Over Curated and Extracted Knowledge Bases

Open Question Answering Over Curated and Extracted Knowledge Bases

... input question, which is beneficial for selecting the correct ...extracted knowledge, which contains obscure assertions like “(changing light bulb, is-a, small building maintenance ... See full document

10

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases

... candidate answers, which is sufficient for ...candidate answers (for the sake of ...layer, question encoder side and the answer encoder side are ...each question, there are 15 candidates after ... See full document

11

A Novel approach to Crowd sourced Websites Question Answering for Medical Knowledge

A Novel approach to Crowd sourced Websites Question Answering for Medical Knowledge

... of question-answer sets isn't ...Medical Knowledge Extraction (MKE) framework is based upon a reality revelation structure, where we mutually assess dependability of answers and specialist aptitude ... See full document

6

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 ...tracting answers from either text alone or Knowledge Bases (KBs) ...extracting ... See full document

12

Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks

Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks

... Limited work exists on exploiting text and KB jointly for question answering. Gardner and Krish- namurthy (2017) is the closest to ours who generate a open-vocabulary logical form and rank candidate answers ... See full document

8

Using Question Answering Techniques to Implement a Knowledge Driven Argument Mining Approach

Using Question Answering Techniques to Implement a Knowledge Driven Argument Mining Approach

... In (Saint-Dizier 2016), it is shown that the number of Qualias for an issue is very limited, to a maxi- mum of 20 structures; this facilitates the task and improves its feasibility. In our perspective, Qualia structures ... See full document

6

Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering

Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering

... Tokyo, Japan {kkulkarn,rtogashi,hidmaeda,sufujita}@yahoo-corp.jp Abstract Embedding based approaches are shown to be effective for solving simple Ques- tion Answering (QA) problems in recent works. The major drawback of ... See full document

5

Pattern revising Enhanced Simple Question Answering over Knowledge Bases

Pattern revising Enhanced Simple Question Answering over Knowledge Bases

... the question utterance and pattern is ...that question patterns which consist of common words should occur in dataset more than one time and the more times a pattern appears the more likely it is to be ... See full document

11

Impact of Clustering Parameters on the Efficiency of the Knowledge Mining Process in Rule-based Knowledge Bases

Impact of Clustering Parameters on the Efficiency of the Knowledge Mining Process in Rule-based Knowledge Bases

... mankind’s knowledge is growing ...this knowledge in ...their knowledge in special form. Rule-based knowledge bases (as mentioned in ...in knowledge bases are often ... See full document

18

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

... Devlin et al., 2018). Generally, these “reading comprehension” systems are operated by encod- ing the passage and question into an embedding space, and due to memory limitations cannot be applied to a large corpus ... See full document

11

CFO: Conditional Focused Neural Question Answering with Large scale Knowledge Bases

CFO: Conditional Focused Neural Question Answering with Large scale Knowledge Bases

... a question, c) the severe sparsity of supervision — most com- binations of s, r, q are not expressed in training ...prior knowledge into semantic parsers, to design models and rep- resentations with better ... See full document

11

Enriching Semantic Knowledge Bases for Opinion Mining in Big Data Applications

Enriching Semantic Knowledge Bases for Opinion Mining in Big Data Applications

... message reaches intended groups, how their communication strategy impacts observable patterns in online coverage, and which portion of the identified sentiment actually refers to their organi- zation. The U.S. National ... See full document

8

CMRP Question & Answers

CMRP Question & Answers

... Douglas McGregor identified two opposing perspectives (Theory X and Theory Y) that he believed typified managerial views of employees and suggested that management must start with the basic question of how ... See full document

132

ccna question and answers

ccna question and answers

... through 3.11, Ethernet 802.2 is used with NetWare 3.12 and later plus OSI routing, Ethernet II is used with TCP/IP and DECnet, and Ethernet SNAP is used with TCP/IP and AppleTalk.. 17[r] ... See full document

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