[PDF] Top 20 Using the Web as Corpus for Un-supervised Learning in Question Answering
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Using the Web as Corpus for Un-supervised Learning in Question Answering
... 14, using keywords from the natural language questions directly to query Google resulted in an MMR value of ...when using expanded queries provided by the Atlas system, we had an MMR of ... See full document
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A Graph based Semi Supervised Learning for Question Answering
... i.e., question as hypothesis and candidate sentence as the text, potentially indicating containment of true answer, and cast the inference recognition as classification problem to determine if a ques- tion text ... See full document
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ChiMed: A Chinese Medical Corpus for Question Answering
... where web users (to avoid confusion, we will call them patients) can post medical questions and receive answers provided by licensed ...Each question, together with its answers and other re- lated ... See full document
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The Web as a Resource for Question Answering: Perspectives and Challenges
... which Web-driven QA systems have had to contend is the prob- lem of finding support for answers derived from the ...its corpus, systems have had to “project” Web-derived an- swers back onto the TREC ... See full document
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Web based List Question Answering
... Collection Pages are very good answer resources for list QA. However, to extract the “exact” answers from the resource page, we need to perform wrapper rule induction to extract the useful content. There is a large body ... See full document
7
Question Answering on Web Data: The QA Evaluation in Quæro
... each question, extracted from textual data, for both open domain and restricted ...of Question Answering on Web Data systems in 2008 and ...full corpus has a size of around 20Gb for ... See full document
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Building an Evaluation Corpus for German Question Answering by Harvesting Wikipedia
... 1,454 question-answer pairs in ...652 question answer ...lingual corpus (“CLEF” for short) next to the two datasets produced in this study, one created by experts—including the authors of this paper ... See full document
6
Parallel corpus multi stream question answering with applications to the Qu'ran
... search using techniques such as link analysis and counting number of words in the query and this has enhanced their capability to search information from most popular and lexically related ...based web ... See full document
244
Semi supervised Training Data Generation for Multilingual Question Answering
... and answering questions about the text is an important yet challenging task for ...the question, such as “what causes precip- itation to fall?”, they locate the supporting “span”, or the relevant answer ... See full document
5
Denoising Distantly Supervised Open Domain Question Answering
... the question “Which country’s capital is Dublin?”, we may encounter that: (1) The retrieved paragraph “Dublin is the largest city of Ireland ...the question; (2) The second “Dublin” in the retrieved ... See full document
10
Learning to Paraphrase for Question Answering
... of question pairs are merely related rather than genuine ...the corpus. We first ex- tracted question templates ...input question as arguments, and match them with the mined template ...input ... See full document
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Building an Annotated Corpus for Text Summarization and Question Answering
... annotated corpus is mainly used for machine learning to learn patterns for extracting important information from text as well as for the more complex task of evaluation of summarization methods (Edmundson, ... See full document
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Latent Retrieval for Weakly Supervised Open Domain Question Answering
... We propose an end-to-end model where the re- triever and reader components are jointly learned, which we refer to as the Open-Retrieval Question Answering (ORQA) model. An important aspect of ORQA is its ... See full document
11
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
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 ...them. Using ... See full document
14
Minimally Supervised Question Classification and Answering based on WordNet and Wikipedia
... explicit question classification is crucial for pinpointing and ranking answers in the final stage of answer ...for learning untyped, anchored surface patterns in order to extract and rank answers for a ... See full document
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Learning to Collaborate for Question Answering and Asking
... of question text are semantically ...positive question pairs and 255,027 nega- tive ...the web queries, which are more similar to the web queries in our two QA ...the web queries that ... See full document
11
Using Archived Comments on Learning Videos as a Resource for Question Answering
... the web-based learning platform. Online learning is the prevalent way of learn- ing but when a learner wants to know the video topics discussion follow comments by other ... See full document
13
Learning Semantic Relatedness in Community Question Answering Using Neural Models
... The second type of approach employed man- ual rules or templates. These methods are expen- sive and hard to scale for large size collections. Sneiders (2002) proposed template based FAQ re- trieval systems, while Kim and ... See full document
11
Corpus based Question Answering for why Questions
... When we look for fully implemented systems for generic “why X?” questions, we only find a small number of such systems. Since why-QA would be a challenging task when tackled straightforwardly, requiring common-sense ... See full document
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