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[PDF] Top 20 Knowledge Based Question Answering as Machine Translation

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Knowledge Based Question Answering as Machine Translation

Knowledge Based Question Answering as Machine Translation

... the question answering procedure ...from machine translation (MT), we treat the QA task as a translation ...input question, and answers of the span covered by each CYK cel- l are ... See full document

10

Discourse-Based Approach to Involvement of Background Knowledge for Question Answering

Discourse-Based Approach to Involvement of Background Knowledge for Question Answering

... Since rhetoric parsers for English (Joty et al., 2013, Surdeanu, 2015) have become more available and accurate, their application in search engine indexing is becoming more feasible. Precision and recall of search ... See full document

9

Interactive Instance based Evaluation of Knowledge Base Question Answering

Interactive Instance based Evaluation of Knowledge Base Question Answering

... the question variable node is represented with a high-contrast blue ...the question node, this makes it easier to parse the structure of the ...input question. For example, Figure 4 shows four ... See full document

6

On Knowledge Based Machine Translation

On Knowledge Based Machine Translation

... ON KNOWLEDGE BASED MACHINE TRANSLATION O N K N O W L E D G E B A S E D M A C H I N E TRANSLATION Sergei Nirenburg*, Victor Raskin** az/d Alien Tucker* ABSTRACT This paper describes the design of tile[.] ... See full document

6

Unsupervised Question Answering by Cloze Translation

Unsupervised Question Answering by Cloze Translation

... search engine queries, annotated with whether the query is a well-formed question. We train a BERT- Base classifier on the binary classification task, achieving a test set accuracy of 80.9% (compared to the ... See full document

15

Joint Relational Embeddings for Knowledge based Question Answering

Joint Relational Embeddings for Knowledge based Question Answering

... Multi-related Question Some questions in- clude two-subject entities, both of which are cru- cial to understanding the ...the question with the list of pre-defined entity type pairs that can be merged into ... See full document

6

Asking Clarification Questions in Knowledge Based Question Answering

Asking Clarification Questions in Knowledge Based Question Answering

... Clarification Identification. As shown in Ta- ble 7, the structured models have the best perfor- mance, with a 86.6% accuracy on single-turn cases and a 80.5% accuracy on multi-turn cases. Com- pared to the ... See full document

12

Improving Question Answering with External Knowledge

Improving Question Answering with External Knowledge

... external knowledge, es- pecially unstructured knowledge, into this power- ful framework to further improve subject-area ...in question and answer options and link these potentially ambiguous concepts ... See full document

11

Organizing Encyclopedic Knowledge based on the Web and its Application to Question Answering

Organizing Encyclopedic Knowledge based on the Web and its Application to Question Answering

... On the other hand, encyclopedias extracted from the Web are not comparable with existing ones in terms of quality. In hand-crafted encyclopedias, term descrip- tions are carefully organized based on domains and ... See full document

8

Proceedings of the 2nd Workshop on Machine Reading for Question Answering

Proceedings of the 2nd Workshop on Machine Reading for Question Answering

... distinct question answering datasets into the same ...extractive question answering. That is, given a question and context passage, systems must find a segment of text, or span in the ... See full document

12

Arabic Question Answering: A Study on Challenges, Systems, and Techniques

Arabic Question Answering: A Study on Challenges, Systems, and Techniques

... (Arabic Question Answering System). AQAS is a Question Answering System, which is based on a structured knowledge ...the question as a bag of words, without any attempt to ... See full document

9

Urdu to English Machine Translation using Bilingual Evaluation Understudy

Urdu to English Machine Translation using Bilingual Evaluation Understudy

... RBMT is a type of large scale rule based system. Therefore computational cost and resource requirements are high in order to create a RBMT system. It is formulated on the basis of morphological, syntactic and ... See full document

8

KVQA: Knowledge-Aware Visual Question Answering

KVQA: Knowledge-Aware Visual Question Answering

... S2– Counting, identifying and ordering persons in im- age: Our stage-2 annotation is first to count the number of people in images. To this end, we provide images to a team of human annotators for grouping images ... See full document

9

Interpretable Question Answering on Knowledge Bases and Text

Interpretable Question Answering on Knowledge Bases and Text

... ranking. Based on the outcomes of our experiments, we recommend the IP method for the TextKBQA model, rather than the model’s self-explanatory attention mech- anism or ... See full document

9

Machine Reading as a Process of Partial Question Answering

Machine Reading as a Process of Partial Question Answering

... spond to an interpretation that is provable from the KB. If all the clauses are proved, then the original text T is redundant; there exists an interpretation under which it can be proved from the KB, and we assume under ... See full document

9

A Framework of Translator From English Speech To Sanskrit Text

A Framework of Translator From English Speech To Sanskrit Text

... a knowledge-intensive process, which must take into account all variable information about the speech communication process, from acoustics to semantics and ...learning based approach and target language ... See full document

9

Statistical Machine Translation based Passage Retrieval for Cross Lingual Question Answering

Statistical Machine Translation based Passage Retrieval for Cross Lingual Question Answering

... Japanese question is used as the query of the document retrieval to get the doc- uments that include the query ...Japanese question and the Japanese passage that surrounds the answer candidate, while the ... See full document

6

Incorporating External Knowledge into Machine Reading for Generative Question Answering

Incorporating External Knowledge into Machine Reading for Generative Question Answering

... a question and passage words to produce rich question-aware passage rep- resentation by which it directly decodes an an- ...generation based on large-scale unlabeled e-commerce reviews and product ... See full document

10

Constraint Based Question Answering with Knowledge Graph

Constraint Based Question Answering with Knowledge Graph

... Table 4 shows that, when using the same CNN training sources, our method outperforms the STAGG method about 4.35±0.30 points (40.94-36.89, 41.75-37.42 and 42.33-37.69) on ComplexQuestions. This result indicates that our ... See full document

12

Exploiting Bilingual Translation for Question Retrieval in Community Based Question Answering

Exploiting Bilingual Translation for Question Retrieval in Community Based Question Answering

... Community-based question answering (CQA) has become an important issue due to the pop- ularity of CQA archives on the ...of question retrieval. Question retrieval in CQA archives aims ... See full document

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