[PDF] Top 20 Question Analysis for Polish Question Answering
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Question Analysis for Polish Question Answering
... (Kto zabił Johna Kennedy’ego?, Eng. Who killed John Kennedy?), unnamed entity (Czego u˙zył Lee Oswald, ˙zeby zabi´c Johna Kennedy’ego?, Eng. What did Lee Oswald use to kill John Kennedy?), other name for a given named ... See full document
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Question Analysis and Answer Passage Retrieval for Opinion Question Answering Systems
... state-of-the-art Question Answering (QA) systems serve the needs of answering factual questions such as “When was James Dean born?” and “Who won the Nobel Peace Prize in ... See full document
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Question Answering over Structured Data: an Entailment-Based Approach to Question Analysis
... Question analysis is the Question Answering (QA) subtask that consists in analysing a natural language question in order to identify all the relevant informa- tion needed to extract the ... See full document
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Investigating Embedded Question Reuse in Question Answering
... in question answering (QA) that enables a QA system to gain performance through reuse of information in the answer to one question to answer another related ...Our analysis shows that a pair ... See full document
12
Question Analysis and Answer Passage Retrieval for Opinion Question Answering Systems
... The F-measure metric is used for evaluation for the answer passage retrieval. With recall (R) and precision (P), F-measure is defined as 2RP/(R+P). To answer an opinion question, all answer passages have to be ... See full document
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Evaluation of baseline information retrieval for Polish open-domain Question Answering system
... The a@n of the baseline IR system (Solr) con- figuration ranges from 26% for n = 1 to 87% for n = 200 top documents considered. Our queries consisted of base forms of all question words ex- cept words from a ... See full document
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A Probabilistic Rasch Analysis of Question Answering Evaluations
... the question of what it means to measure the inherent ability of an organism to perform a given task, and for the last forty years, the field has increasingly relied on probabilistic methods such as the Rasch ... See full document
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Building a Question Classification Model for a Malay Question Answering System
... Malay question classification ...further analysis of these two categories are done to identify the questions that are misclassified by all of the ...is") question word are not easily predicted by ... See full document
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Using Question Series to Evaluate Question Answering System Effectiveness
... 2004 question an- swering track was the desire to model as- pects of dialogue processing in an evalu- ation task that included different question ...An analysis of the reliability of the per-series ... See full document
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Neural Arabic Question Answering
... Results and Analysis We report all reader ex- periments in table 5. The non-learning baselines are unable to obtain a significant improvement over a random guess on the EM and F1 metrics. The embedding and TF-IDF ... See full document
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An Analysis of Clarification Dialogue for Question Answering
... related question sentences which therefore constituted a type of clarification dialogue; the sentences varied in length between 3 and 8 questions, with an average of 4 questions per ...the question ... See full document
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An Analysis of the AskMSR Question Answering System
... a question answering system, there is some cost associated with return- ing incorrect answers to a ...a question for which an answer exists and returning no ... See full document
8
German Polish Borderscapes: Bordering and Debordering of Communication An Example of Słubice
... of Polish inhabitants on the German-Polish ...the Polish side of the German-Polish border. The analysis is focused on the communication strategies of the inhabitants of ... See full document
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Action Languages and Question Answering
... The applicability of KRR for the design and implementation of QA systems was explored by Baral et al. (2004) who demonstrated the suitability of the KRR language Answer Set Prolog (ASP) (Gel- fond and Lifschitz, 1991) ... See full document
10
Neural Generative Question Answering
... Question answering (QA) can be viewed as a special case of single-turn dialogue: QA aims at providing correct answers to the questions in natural language, while dialogue emphasizes on generating relevan- t ... See full document
7
The Promise of Premise: Harnessing Question Premises in Visual Question Answering
... For second order premises (i.e. attributed ob- jects), we rely on Visual Genome (Krishna et al., 2016) annotations for object and attribute labels. Unlike in COCO, the lack of a particular object la- bel in an image for ... See full document
10
Question Generation for Question Answering
... of question generation approaches are proposed, one is a retrieval-based method using convo- lution neural network (CNN), the other is a generation-based method using recurrent neural network (RNN); Second, we ... See full document
9
Question Condensing Networks for Answer Selection in Community Question Answering
... Notably, Systems (1, 2, 3, 4) have heavy feature engineering, while QCN only uses automatically- learned feature vectors, demonstrating that our QCN model is concise as well as effective. Fur- thermore, our model can ... See full document
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APPROCHES FOR QUESTION ANSWERING SYSTEMS
... Question Answering (QA) system is a man machine communication device. The basic idea of QA systems in Natural Language Processing (NLP) is to provide correct responses to the questions in a human like ... See full document
6
Experiments with Interactive Question Answering
... is “interesting” enough to the scenario such that it deserves to be mentioned in a topic-relevant question. For example, Figure 4 illustrates an answer that includes two predicates and four entities. In this case, ... See full document
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