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[PDF] Top 20 Tables as Semi structured Knowledge for Question Answering

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Tables as Semi structured Knowledge for Question Answering

Tables as Semi structured Knowledge for Question Answering

... The results of these experiments is presented in Table 5. All numbers are reported in percentage accuracy. We perform statistical significance test- ing on these results using Fisher’s exact test with a p-value of 0.05 ... See full document

10

Compositional Semantic Parsing on Semi Structured Tables

Compositional Semantic Parsing on Semi Structured Tables

... through semi-structured ...and answering search queries by joining tables on sim- ilar columns (Cafarella et ...to question answering, the queries tend to be keyword lists ... See full document

11

Knowledge Based Question Answering as Machine Translation

Knowledge Based Question Answering as Machine Translation

... the question answering procedure ...input question, and answers of the span covered by each CYK cel- l are considered the translations of that cell; un- like MT, which uses offline-generated ... See full document

10

Integrating Linguistic Knowledge in Passage Retrieval for Question Answering

Integrating Linguistic Knowledge in Passage Retrieval for Question Answering

... Our Dutch question answering system, Joost (Bouma et al., 2005), consists of two streams: a table look-up strategy using off-line information extrac- tion and an on-line strategy using passage retrieval and ... See full document

8

Neural Semantic Parsing with Type Constraints for Semi Structured Tables

Neural Semantic Parsing with Type Constraints for Semi Structured Tables

... is question answering against a database, which is accom- plished by translating questions into executable logical forms ...the question then predicting each token of the logical form in sequence ... See full document

11

Search based Neural Structured Learning for Sequential Question Answering

Search based Neural Structured Learning for Sequential Question Answering

... tion answering has focused on long and complicated questions, many of which would seem unnatural if asked in a normal conversation between two ...6,066 question sequences that inquire about semi- ... See full document

11

Structured and Logical Representations of Assamese Text for Question Answering System

Structured and Logical Representations of Assamese Text for Question Answering System

... automatic knowledge extraction ...The structured text representation shows the relationship among the constituents of a ...building Question-answering systems ...building structured and ... See full document

12

Information Extraction over Structured Data: Question Answering with Freebase

Information Extraction over Structured Data: Question Answering with Freebase

... Question answering (QA) from a knowledge base (KB) has a long history within natural language processing, going back to the 1960s and 1970s, with systems such as Baseball (Green Jr et ...of ... See full document

11

Joint Relational Embeddings for Knowledge based Question Answering

Joint Relational Embeddings for Knowledge based Question Answering

... Knowledge-based question answering (KB-QA) involves answering questions posed in natural language (NL) using existing knowledge bases ...are structured databases, how to ... See full document

6

Asking Clarification Questions in Knowledge Based Question Answering

Asking Clarification Questions in Knowledge Based Question Answering

... the structured models have the best perfor- mance, with a ...the structured architecture brings obvious perfor- mance improvements, with ...the structured ar- chitectures have learned 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 ...in structured data only, but failed to extract an ... See full document

9

QUINT: Interpretable Question Answering over Knowledge Bases

QUINT: Interpretable Question Answering over Knowledge Bases

... interpretable question answering, QUINT’s approach to KB-QA relies on role-aligned templates, where each template consists of an utterance template based on a de- pendency parse pattern and a corresponding ... See full document

6

Careful Selection of Knowledge to Solve Open Book Question Answering

Careful Selection of Knowledge to Solve Open Book Question Answering

... Supervised learned models The supervised learned models for abduction under-perform. The Bag of Words and the Seq2Seq models fail to extract keywords for many F − H pairs, some- times missing the keywords from the ... See full document

10

Improved Neural Relation Detection for Knowledge Base Question Answering

Improved Neural Relation Detection for Knowledge Base Question Answering

... Different KBQA data sets have different levels of requirement about the above open-domain ca- pacity. For example, most of the gold test relations in WebQuestions can be observed during train- ing, thus some prior work ... See full document

11

Question Generation for Question Answering

Question Generation for Question Answering

... our question generation approach has two uniqueness: (1) all question patterns, that are used as training data for question generation, are auto- matically extracted from a large scale CQA ques- tion ... See full document

9

Lattice CNNs for Matching Based Chinese Question Answering

Lattice CNNs for Matching Based Chinese Question Answering

... Short text matching plays a critical role in many natural language processing tasks, such as question answering, in- formation retrieval, and so on. However, matching text se- quences for Chinese or similar ... See full document

8

Evolution of Techniques for Question Answering over Knowledge Base: A Survey

Evolution of Techniques for Question Answering over Knowledge Base: A Survey

... of question answering system on test set of Remedia Corpus ...sentence question comparison and voting is ...the question and producing a SPARQL template [63] which is identical to the internal ... See full document

6

Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering

Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering

... Candidate Pruning: Calculation of score for all triplets from the dataset is an memory and time wise prohibitive operation. Thus, at first we prune the facts to generate candidate facts similar to (Jain, 2016). Then only ... See full document

5

Semi supervised Training Data Generation for Multilingual Question Answering

Semi supervised Training Data Generation for Multilingual Question Answering

... and question were well translated into Korean, and a human can easily deduce correct answer through only this infor- ...the question was lost in translation, and the answer cannot be inferred from these ... See full document

5

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

... Researchers have also investigated question an- swering that utilizes common sense. Science ques- tions often require common sense, and have re- cently received attention (Clark et al., 2018; Mi- haylov et al., ... See full document

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