[PDF] Top 20 Minimum Bayes Risk based Answer Re ranking for Question Answering
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Minimum Bayes Risk based Answer Re ranking for Question Answering
... Minimum Bayes Risk (MBR) techniques have been successfully applied to a wide range of nat- ural language processing tasks, such as statisti- cal machine translation (Kumar and Byrne, 2004), automatic ... See full document
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An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering
... Community question answering (cQA) is an in- formation seeking paradigm in which users ask questions and contribute answers on a dedicated website that facilitates quality-based ranking and ... See full document
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Information refinement over multi media question answering applying ranking and Nave Bayes classification
... a question answering system for through digital data by ever against text ...textual answer. Finally page ranking is carried to obtain a set of images and ...appropriate answer can be ... See full document
6
Ranking and Sampling in Open Domain Question Answering
... Open-domain question answering (OpenQA) aims to answer questions based on a num- ber of unlabeled ...the answer during ...a ranking model leveraging the paragraph-question ... See full document
10
Exploring Shallow Answer Ranking Features in Cross-Lingual and Monolingual Factoid Question Answering
... Answer ranking is critical to a QA (Question Answering) system because it determines the final system ...shallow ranking features under different ...shallow ranking features, ... See full document
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Simple Question Answering with Subgraph Ranking and Joint Scoring
... graph based simple question an- swering (KBSQA) is a major area of research within question ...subgraph ranking and leverag- ing the subject–relation dependency of a KB fact have not been ... See full document
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It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering
... The setting of cQA as a triangle of three inter- related subtasks, which we use here, has been re- cently proposed in SemEval-2016 Task 3 on Com- munity Question Answering (Nakov et al., 2016). ... See full document
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Methods Combination and ML based Re ranking of Multiple Hypothesis for Question Answering Systems
... eral question-answering procedures are applied: question analysis, SD construction, document and snippet extraction and then answer selection and ...two answer extraction methods have ... See full document
10
RankQA: Neural Question Answering with Answer Re Ranking
... neural question answering (QA) for narrative content is limited to a two-stage process: first, relevant text pas- sages are retrieved and, subsequently, a neural network for machine comprehension extracts ... See full document
10
Training a Ranking Function for Open Domain Question Answering
... the answer in the unstructured text cor- pus (Brill et ...documents re- trieved by the search engine must be relevant to the ...documents re- turned from search engine might not contain the ... See full document
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Three-stage question answering system with sentence ranking
... proposed question answering ...modification based on dividing the question answering system into three consecutive ...the answer to the ...correct answer to the ... See full document
8
Language independent Probabilistic Answer Ranking for Question Answering
... of answer candidates. As answer candidates are extracted from different documents, they may con- tain identical, similar or complementary text snip- ...boost answer confidence, especially for list ... See full document
8
Paraphrase for Open Question Answering: New Dataset and Methods
... the question “What character did Natalie Portman play in Star Wars?” We extract the top three Free- base ID candidates for natalie portman: {/m/09l3p, /m/0dncctc, ...same answer; we currently sum the scores ... See full document
9
A Probabilistic Framework for Answer Selection in Question Answering
... for question an- ...validate answer can- didates, our work focuses on developing a unified framework that not only uses multiple resources for validating answer candidates, but also considers ... See full document
8
Passage Retrieval Using Answer Type Profiles in Question Answering
... Retrieving answer containing passages is a challenging task in Question Answer- ...using answer type ...and ranking. In the estimation step, answer type profiles are constructed ... See full document
10
Metadata Aware Measures for Answer Summarization in Community Question Answering
... community Question Answering (cQA) portals with the purpose of gen- erating a trustful, complete, relevant and succinct summary in response to a ques- ...functions based on semantic overlap. ... See full document
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A Factoid Question Answering System Using Answer Pattern Matching
... the answer patterns that are learned from methods RawAT, StemmedAT and ...string answer pat- terns increases the ...of answer types blocks the extraction of most of the incorrect ... See full document
5
Question Condensing Networks for Answer Selection in Community Question Answering
... network based baseline that we implemented. LSTM is applied on the question subject and body respectively, and the results are concate- nated to form question ...work based baselines (4, 5) ... See full document
10
Answer Extraction Techniquefor Question Answering Systems
... an answer extraction module for Arabic Question Answering(QA) ...systems. Answer extraction (AE) module aims at returning only those passages of a document that exactly answer a given ... See full document
6
CoCQA: Co Training over Questions and Answers with an Application to Predicting Question Subjectivity Orientation
... a question posted in a CQA site is subjective or ...the answer, whereas sub- jective questions seek answers containing pri- vate states, ...a question, we would be able to better rank or filter the ... See full document
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