[PDF] Top 20 Supervised and Unsupervised Transfer Learning for Question Answering
Has 10000 "Supervised and Unsupervised Transfer Learning for Question Answering" found on our website. Below are the top 20 most common "Supervised and Unsupervised Transfer Learning for Question Answering".
Supervised and Unsupervised Transfer Learning for Question Answering
... the question representation to produce an attention-like mecha- nism that outputs the similarity between each sen- tence in S and Q ...the question representation and the weighted sentence representations ... See full document
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Latent Retrieval for Weakly Supervised Open Domain Question Answering
... Retrieval Question Answering system ...is supervised only by question- answer string ...end-to-end learning is that retrieval over the open corpus must be considered a latent variable ... See full document
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A Graph based Semi Supervised Learning for Question Answering
... semi-supervised learning for the question-answering (QA) task for ranking candidate ...guage question posed by the user and the candidate sentences returned from search ...matching, ... See full document
9
Addressing Semantic Drift in Question Generation for Semi Supervised Question Answering
... Text-based Question Generation (QG) aims at generating natural and relevant questions that can be answered by a given answer in some ...model-generated question drifts away from the given context and ... See full document
15
Simple and Effective Semi Supervised Question Answering
... Deep learning systems have shown a lot of promise for extractive Question Answering (QA), with performance comparable to humans when large scale data is ...labeled question- answer pairs are ... See full document
6
Denoising Distantly Supervised Open Domain Question Answering
... Distantly supervised open-domain ques- tion answering (DS-QA) aims to find an- swers in collections of unlabeled text. Ex- isting DS-QA models usually retrieve re- lated paragraphs from a large-scale corpus ... See full document
10
Semi supervised Training Data Generation for Multilingual Question Answering
... for question answering (QA) research have been released, such as SQuAD, Marco, WikiQA, MCTest, and ...Korean Question Answering Dataset (K-QuAD), by using automatically translated SQuAD and a ... See full document
5
A Discrete Hard EM Approach for Weakly Supervised Question Answering
... variable learning problems with a precom- puted, task-specific set of possible solutions ...EM learning scheme that computes gradi- ents relative to the most likely solution at each ... See full document
14
Using the Web as Corpus for Un-supervised Learning in Question Answering
... We show that our method clearly provide means for learning transformation from a natural language question to a query by applying statistical word alignment technique. The method involves automatically ... See full document
8
Learning Named Entity Hyponyms for Question Answering
... Hypernym/hyponym word pairs where the words 1 belong to a single WordNet synset were identified and served to generate training data in the follow- ing way: making the assumption that when the two words co-occur, ... See full document
6
Minimally Supervised Question Classification and Answering based on WordNet and Wikipedia
... of question or on a question by question ...given question heuristically against a semi-automatic constructed set of question types in order to transform the question to ... See full document
14
Interactive Language Learning by Question Answering
... To reframe the QAit games as a standard MRC task, we also designed an experimental setting that eliminates the need to gather information inter- actively. From a heuristic trajectory through the game environment that is ... See full document
18
Unsupervised Question Answering by Cloze Translation
... for Question Answer- ing (QA) is time-consuming and resource- intensive, and existing QA datasets are only available for limited domains and ...of unsupervised Extractive QA. We approach this problem by ... See full document
15
Question Answering through Transfer Learning from Large Fine grained Supervision Data
... There have been several QA paradigms in NLP, which can be categorized by the context and su- pervision used to answer questions. This context can range from structured and confined knowl- edge bases (Berant et al., 2013) ... See full document
8
Learning Unsupervised SVM Classifier for Answer Selection in Web Question Answering
... machine learning techniques for answer selection in question answering (QA) have required question-answer train- ing ...novel unsupervised support vector machine (U- SVM) classifier for ... See full document
9
Title : A HARDBACK OF MACHINE LEARNING Author (s) : R.VASUGI, C. TAMILSELVI, V. PARAMESWARI
... “MACHINE LEARNING is going to be a result in real revolutions ...machine learning is an applications of Artificial Intelligence that provides the systems an ability to learn something to be perceived ... See full document
7
Web Based Unsupervised Learning for Query Formulation in Question Answering
... the question pattern, we can keep the question keywords in Q so as to reduce the errors caused by indirect ...the question “How old was Bruce Lee when he died?” Our goal is to learn the best ... See full document
11
Deep learning for whole slide image analysis : an overview
... Deep learning is already demonstrating its potential across a wide range of medical problems associated with digital ...strongly supervised techniques. Other techniques from weakly supervised, ... See full document
7
Supervised and Unsupervised Learning for Sentence Compression
... how unsupervised and semi- supervised techniques can be used to improve com- ...the unsupervised and semi- supervised versions are able to take the action of deleting the ... See full document
8
MODIFIED ACTION VALUE METHOD APPLIED TO ‘n’-ARMED BANDIT PROBLEMS USING REINFORCEMENT LEARNING
... Heuristic and meta-heuristic approaches [1] are preferred in the real world as it is hard to construct the theoretical model required in an MDP formulation. Heuristic refers to experience-based techniques for problem ... See full document
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