[PDF] Top 20 Question Answering on Interlinked Data
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Question Answering on Interlinked Data
... The Data Web contains a wealth of knowledge on a large number of ...domains. Question answering over interlinked data sources is challenging due to two inherent characteris- ...a ... See full document
11
Semi supervised Training Data Generation for Multilingual Question Answering
... weak QA system, or BiDAF built on Seed for such pre- diction. A naive solution is using Equation (3): Based on the starting and end positions s and e, we use the equation to compare with the probabilistic certainty of ... See full document
5
Evaluation of a layered approach to question answering over linked data
... the question Who is the mayor of ...this question as the right interpretation involves the property ...training question set for DBpedia, we found that the overall results improve if this list is ... See full document
12
Information Extraction over Structured Data: Question Answering with Freebase
... Question answering (QA) from a knowledge base (KB) has a long history within natural language processing, going back to the 1960s and 1970s, with systems such as Baseball (Green Jr et ...consider ... See full document
11
Grounding proposition stores for question answering over linked data
... pressed with the linked data vocabulary. We build a lexicon that we denote Grounded Proposition Store (henceforth, GPS) by grounding a large number of propositions automatically extracted from text. Finally, we ... See full document
28
Contextualized Question Answering
... contextualized question answering and it provides document overview ...follows: data preparation, data enhancement, data indexing and handling ...available question ... See full document
8
Question Answering over Structured Data: an Entailment-Based Approach to Question Analysis
... addresses question analysis in the framework of Question Answering over struc- tured ...a question expresses a certain relation if a pattern for that relation is entailed by the ... See full document
7
Investigating Embedded Question Reuse in Question Answering
... of question-answer set for the embedded reuse corpus, TREC QA document collections would be a valuable ...the data set of the earlier TREC QA track can be used with none or minor modification for the base ... See full document
12
Question Answering in the Biomedical Domain
... High-quality data is required to address the chal- lenges we ...synthetic question- answer pairs; (3) SQuAD (Rajpurkar et ...the question-answering datasets provided on MediQA 2019 4 ; (5) the ... See full document
10
Question Answering over Linked Data Using First order Logic
... phrase candidates to the corresponding seman- tic items), and 3) Feature Extraction (extracting the linguistic features and semantic item features from the question and the Linked Data, respec- tively). As ... See full document
12
An Exploration of Data Augmentation and Sampling Techniques for Domain Agnostic Question Answering
... training data than BERT, its rep- resentation provided a strong source of transfer ...XLNet’s question an- swering module, we also computed the end logits based on the ground truth of the start position ... See full document
8
Neural Arabic Question Answering
... noisy data could well suffice for ...for data augmentation has been effective in improving the performance of neu- ral MRC (Yu et ...translated data could be used to train our ma- chine reading ... See full document
11
APPROCHES FOR QUESTION ANSWERING SYSTEMS
... of data is available, web is one of the ideal source to obtain the ...based question answering systems uses search engines (Like Google, Yahoo, Alto Vista ... See full document
6
Question Answering Evaluation Survey
... the data available from the Message Understanding Conference (MUC-6, MUC-7 proposed NE Recognition between 7 categories but also two other tasks: co-reference resolution, and template relation) Information ... See full document
6
Neural Generative Question Answering
... of question-answer pairs, with their as- sociated triples in the ...tion answering demonstrates that the proposed model can outperform an embedding-based QA model as well as a neural dialogue model trained ... See full document
7
Learning to Paraphrase for Question Answering
... the question and then submit the rewritten version to a QA ...produce question paraphrases, such as rule-based machine translation (Duboue and Chu- Carroll, 2006), lexical and phrasal rules from the ... See full document
12
Evaluating Question Answering Evaluation
... and question. Incor- porating the context and question into BERTScore slightly improves results, indicating that a BERT- based model that uses the context and question is a promising research ... See full document
6
Routing Questions for Collaborative Answering in Community Question Answering
... of question and answer threads. In this study, we use the public data dump of the site that contains all the public data since its launch in August 2008 to September ...two data sets to carry ... See full document
8
An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering
... community question answering (cQA) is dominated by machine learning approaches, whose performance is often limited by the num- ber of training ...two data augmentation techniques on question ... See full document
6
Data for question answering: The case of why
... Guardian on CD-ROM (1992). The texts were around 500 words each. The experiment was conducted over the Internet, using a web form and some CGI scripts. In order to have good control over the experiment, we registered all ... See full document
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