[PDF] Top 20 Paraphrase Driven Learning for Open Question Answering
Has 10000 "Paraphrase Driven Learning for Open Question Answering" found on our website. Below are the top 20 most common "Paraphrase Driven Learning for Open Question Answering".
Paraphrase Driven Learning for Open Question Answering
... of open challenges ...the question under- standing framework to produce more complex queries, constructed within a compositional se- mantic framework, but without sacrificing scala- ... See full document
11
Open Domain Why Question Answering with Adversarial Learning to Encode Answer Texts
... why- question answering (why-QA) that uses an ad- versarial learning ...supervised open-domain QA (DS-QA) method on pub- licly available English datasets, even though the target task is not a ... See full document
11
Deep Learning Approaches to Text Production
... as question answering, paraphrase generation, semantic and syntactic parsing, document understanding and summarization, and text ...machine learning techniques such as deep learning and ... See full document
6
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
10
Instance Based Question Answering: A Data Driven Approach
... Predictive annotation (Prager et al., 1999) is one of the techniques that bring together corpus process- ing and smarter queries. Twenty classes of objects are identified and annotated in the corpus, and cor- responding ... See full document
8
ComQA: A Community sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters
... underlying answering resource: ei- ther KBs or textual ...using question- answer pairs; (ii) Bast and Haussmann (2015), which instantiates hand-crafted query templates followed by query ranking; (iii) ... See full document
11
Interactive Language Learning by Question Answering
... Third, most existing MRC studies focus on declarative knowledge — the knowledge of facts or events that can be stated explicitly (i.e., de- clared) in short text snippets. Given a static de- scription of an entity, ... See full document
18
Learning to Attend On Essential Terms: An Enhanced Retriever Reader Model for Open domain Question Answering
... for open-domain ...a question leading to more effective search queries when retrieving related evidence; (2) we developed an attention- enhanced reader with attention and fusion among passages, questions, ... See full document
10
Toward Data Driven Tutorial Question Answering with Deep Learning Conversational Models
... This work has examined how we can leverage community-based question answering forums as a source of data to build a dataset specific to general Java-based programming questions. We have seen that ... See full document
11
Training a Ranking Function for Open Domain Question Answering
... the question (Table ...in question with words in the paragraph, and does not have information about the context and word order that is important for learning ... See full document
8
Reasoning-Driven Question-Answering For Natural Language Understanding
... and learning “everything” from it in an end-to-end fashion, we demonstrate that one can successfully leverage pre- trained NLP modules to extract a sufficiently complete linguistic abstraction of the text that ... See full document
214
Learning to Paraphrase for Question Answering
... to paraphrase 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 ... See full document
12
Paraphrase for Open Question Answering: New Dataset and Methods
... a question, augmenting the result with semantic infor- mation, and then transforming the result into a logi- cal ...robust, open-domain semantic parsing is that of Berant et ... See full document
9
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 Strategies for Open Domain Natural Language Question Answering
... Table 2 compares the performance of different versions of QABLe with those reported by the three systems described above. We wish to discern the particular contribution of transformation rule learning in the QABLe ... See full document
6
The Structure and Performance of an Open Domain Question Answering System
... Documents Answers Question Question Processing Question Type Answer Type.. Answer Processing Parse.[r] ... See full document
8
WikiQA: A Challenge Dataset for Open Domain Question Answering
... a question are ...testing question, along with the ti- tle and the summary paragraph of the associated Wikipedia page, asking the worker “Does the short paragraph answer the question?” If the worker ... See full document
6
End to End Open Domain Question Answering with BERTserini
... system is the latency of the responses. Informed by the analysis in Figure 2, in our demonstration system we set k = 10 under the paragraph con- dition. While this does not give us the maximum possible accuracy, it ... See full document
6
SVM Answer Selection for Open Domain Question Answering
... ????? ????? ??? ??????????????????????? ???? ???"!$#%??&(')??? *,+?? ? ????? ??????? ??? /???"0 132547652?8925 ?;?<3=?25>@?A ?,65?/BC?A ?;?< ?A45D7E";FBC?A ?2HGI?AJKD?? LNMOMQPSRUTVTXWAYAZ\[@] ^$Z`RUY[.] ... See full document
7
Learning to Compose Neural Networks for Question Answering
... tion answering, in which strings are mapped to log- ical forms, then evaluated by a black-box execu- tion model to produce ...(world, question, answer) triples alone (Liang et ...in learning a ... See full document
10
Related subjects