[PDF] Top 20 Asking Clarification Questions in Knowledge Based Question Answering
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Asking Clarification Questions in Knowledge Based Question Answering
... tion questions base on predicate-independent tem- plates, our clarification questions are predicate- aware and more ...diverse. Based on the clarifica- tion raising pipeline, we formulate ... See full document
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Knowledge Based Question Answering as Machine Translation
... that, question pattern based question trans- lation can achieve high end-to-end ...the questions with the same meaning in different NL ...the question Forrest Gump was directed by which ... See full document
10
Constraint Based Question Answering with Knowledge Graph
... as questions with such words are usually non-factual questions, and (ii) each query’s length is between 7 and 20, as short queries seldom contain multi-constraints, and long queries are usually difficult to ... See full document
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Answering Clinical Questions with Knowledge Based and Statistical Techniques
... in question-answering research and the availability of unparalleled resources developed specifically for automatic semantic processing of text in the medical domain provides a unique opportunity to explore ... See full document
42
Lattice CNNs for Matching Based Chinese Question Answering
... as question answering (QA) could pose further challenges for short text ...ment based question answering (DBQA), the matching de- gree is expected to reflect how likely a sentence can ... See full document
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Joint Relational Embeddings for Knowledge based Question Answering
... Result Analysis Since the majority of questions in WebQ. tend to be more natural and diverse, our method cannot find the correct answers to many questions. The errors can be caused by any of the following ... See full document
6
Multi Modal Question Answering: Questions without Keyboards
... is based on our broad coverage grammar it provides a reasonable representation for all of the things that a player or NPC is likely to want to talk about in a ... See full document
6
Interactive Instance based Evaluation of Knowledge Base Question Answering
... In the user study, we aimed to evaluate: can a person familiar with KB QA use the tool indepen- dently? Does the developed tool make it possible to manually identify errors in a QA pipeline? Two participants with ... See full document
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Discourse-Based Approach to Involvement of Background Knowledge for Question Answering
... background knowledge text about these omitted entities and the ones presented in ...convergent questions, which was evaluated in, for example (Chen et ...user asking questions in the domains ... See full document
9
Improving Question Answering with External Knowledge
... external knowledge for ARC-Easy by first fine-tuning the pre-fine-tuned model for four epochs on external in-domain data ...the question-answer instances in ARC-Easy are relatively simpler than those in ... See full document
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Answering Definition Questions with Multiple Knowledge Sources
... for answering definition questions from multiple sources: a database of nuggets precompiled offline using surface patterns, a Web-based electronic dictionary, and doc- uments retrieved using ... See full document
8
Are You Asking the Right Questions? Teaching Machines to Ask Clarification Questions
... Lucene-selected questions, was only 36%, sig- nificantly better than our best system (23%), but still far from ...background knowledge required to solve this ... See full document
6
Impact of Asking Support Questions on Grades 4 and 7 Students Reading Comprehension
... background knowledge structure of the reader of the ...that asking inferential questions about relationships be- tween characters in a text, their goals and motivations for action, enhanced ... See full document
7
Corpus based Question Answering for why Questions
... the question in content, and (3) some causal relation should be observed between the can- didate and the ...the question “Why was X arrested?” because “for fraud” expresses a cause, the question and ... See full document
8
Learning to Collaborate for Question Answering and Asking
... Seq2Seq based QG model is trained by maximizing the literal similarity be- tween the generated sentence and the ground truth sentence with maximum-likelihood estimation ob- jective function (Du et ...the ... See full document
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An Analysis of Clarification Dialogue for Question Answering
... which Question Answering systems constrain possible answers is by restricting the number of documents in which an answer is sought by filtering the total number of available documents through the use of an ... See full document
8
Neural Attention for Learning to Rank Questions in Community Question Answering
... and question answering (QA), has shown that syntactic and semantic structures are essential for boosting the accuracy of the applied machine learning ...community Question Answering (cQA), ... See full document
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Some Challenges of Advanced Question-Answering: an Experiment with How-to Questions
... Factoid questions (questions about facts, ...of questions, frequently encountered such as : procedural (how to), causal (why), evaluative and comparative questions (what is the cheapest air ... See full document
9
Compositional Semantic Parsing on Semi Structured Tables
... and answering search queries by joining tables on sim- ilar columns (Cafarella et ...to question answering, the queries tend to be keyword lists instead of natural language ...and knowledge ... See full document
11
The Web as a Knowledge Base for Answering Complex Questions
... comparative questions like “What is the highest European mountain?” or “What Eu- ropean mountains are higher than Mont Blanc?” are answered by joining the set of European moun- tains with their ...language, ... See full document
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