[PDF] Top 20 Simple and Effective Semi Supervised Question Answering
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Simple and Effective Semi Supervised Question Answering
... Our system comprises of following three steps: Cloze generation: Most of the documents typ- ically follow a template, they begin with an in- troduction that provides an overview and a brief summary for what is to follow. ... See full document
6
Tables as Semi structured Knowledge for Question Answering
... example, simple text corpora contain no structure, and are therefore hard to reason with in a principled ...as semi- structured knowledge for multiple-choice question (MCQ) ...a ... See full document
10
Denoising Distantly Supervised Open Domain Question Answering
... an effective strategy to collect relevant texts automatically, it always suffers from the noise ...the question “Which country’s capital is Dublin?”, we may encounter that: (1) The retrieved paragraph ... See full document
10
Simple Semi Supervised POS Tagging
... the question: how much supervision is needed to achieve state-of-the-art perfor- mance in part-of-speech (POS) tagging, if we leverage lexical representations given by the model of Brown et ... See full document
9
Simple Semi supervised Dependency Parsing
... We present a simple and effective semi- supervised method for training dependency parsers. We focus on the problem of lex- ical representation, introducing features that incorporate word ... See full document
9
Semi supervised Question Retrieval with Gated Convolutions
... Question answering forums are rapidly grow- ing in size with no effective automated abil- ity to refer to and reuse answers already avail- able for previous posted ...the question body and 2) ... See full document
11
Effective Question Answering Techniques and their Evaluation Metrics
... User asks questions in one language and gets answers different from the source language or same as source language in Multilingual QA (MLQA) system. In designing such a system, there is a need to pay concentration on the ... See full document
8
Minimally Supervised Question Classification and Answering based on WordNet and Wikipedia
... Indeed, effective explicit question classification is crucial for pinpointing and ranking answers in the final stage of answer ...use question types and redundancy to filter potential ... See full document
14
Simple yet Effective Bridge Reasoning for Open Domain Multi Hop Question Answering
... question. We use the same model architecture for both tasks and the architecture is base on the doc- ument QA model from (Clark and Gardner, 2018), which is used by Yang et al. (2018) as the baseline for HotpotQA. ... See full document
5
Using the Web as Corpus for Un-supervised Learning in Question Answering
... of question and answer), which automatically learns the transforms from wh -phrases and keywords to n-grams in relevant passages by using the Web as ...language question “Who invented the light bulb?” Using ... See full document
8
Simple Question Answering by Attentive Convolutional Neural Network
... Since attentive matching of predicate-pattern is only one part of our jointly trained system, it is hard to judge whether or not an attentive CNN performs better than alternatives. We therefore create a relation ... See full document
11
Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering
... be effective for solving simple Ques- tion Answering (QA) problems in recent ...a question and a head, relation ...the simple QA problem without using any additional resources such as ... See full document
5
Simple Semi Supervised Learning for Prepositional Phrase Attachment
... So, the question arises as to how to incorporate our knowledge of the structural constraints into the problem, and to constrain the EM process us- ing these. Probably the most powerful and general purpose way to ... See full document
11
A Simple Semi supervised Algorithm For Named Entity Recognition
... for supervised learning. However, the semi-supervised algorithm achieves reasonably high ...our semi-supervised ap- proach is effective for situation where the test and training ... See full document
8
Revisiting Embedding Features for Simple Semi supervised Learning
... Recent work has shown success in us- ing continuous word embeddings learned from unlabeled data as features to improve supervised NLP systems, which is re- garded as a simple semi-supervised ... See full document
11
A Discrete Hard EM Approach for Weakly Supervised Question Answering
... Results. Table 4 shows that our training method significantly outperforms all the weakly- supervised learning algorithms, including 10% gain over the previous state of the art. These results indicate that ... See full document
14
Retrieve and Re rank: A Simple and Effective IR Approach to Simple Question Answering over Knowledge Graphs
... tackle Simple- Questions divide the task into multiple sub-tasks (such as entity detection, entity linking, relation prediction and evidence integration), whereas our model tackles all sub-tasks ...the ... See full document
6
Semi supervised Training Data Generation for Multilingual Question Answering
... for question answering (QA) research have been released, such as SQuAD, Marco, WikiQA, MCTest, and ...study semi-automated creation of the Korean Question Answering Dataset (K-QuAD), by ... See full document
5
A Graph based Semi Supervised Learning for Question Answering
... represents question-type NER match feature, LexSem is the bundle of lexico-semantic features and QComp is the matching features of subject, head, object, and three ... See full document
9
Addressing Semantic Drift in Question Generation for Semi Supervised Question Answering
... treats question paraphrases more fairly (Example 1 in Table ...Quora Question Pairs ...generated question and the ground- truth question being paraphrases as the ...generated question ... See full document
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