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[PDF] Top 20 Interpretable Question Answering on Knowledge Bases and Text

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Interpretable Question Answering on Knowledge Bases and Text

Interpretable Question Answering on Knowledge Bases and Text

... We only present annotators with query instances for which both models output the same answer. However, we do not restrict these answers to be the ground truth. We perform the study with three explanation methods: average ... See full document

9

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

... Domain Question Answering (QA) is evolving from complex pipelined systems to end-to-end deep neural ...either text alone or Knowledge Bases (KBs) ...linked text, which is ... See full document

12

PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text

PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text

... Models Text is retrieved (non-iteratively) using IDF-based similarity to the ...of question entities since the num- ber grows ...the question—specifically, we used the PageRank-Nibble algorithm ... See full document

11

Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming

Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming

... the question and the answer choice using the code from (Khot, Sabharwal, and Clark 2018), which is then passed to an entailment function to compute the con- fidence ...a question, BiDaF returns a substring ... See full document

8

QUINT: Interpretable Question Answering over Knowledge Bases

QUINT: Interpretable Question Answering over Knowledge Bases

... In this work, we demonstrate QUINT (Abujabal et al., 2017), a state-of-the-art KB-QA system that gives step-by-step explanations of how it derives answers for questions. Furthermore, when QUINT is unable to link a ... See full document

6

Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks

Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks

... ing comprehension (Sukhbaatar et al., 2015; Hill et al., 2016), where the memory consists of dis- tributed representation of sentences in the compre- hension. Recently, key-value MemNN are intro- duced (Miller et al., ... See full document

8

Tables as Semi structured Knowledge for Question Answering

Tables as Semi structured Knowledge for Question Answering

... Question answering requires access to a knowledge base to check facts and rea- son about ...information. Knowledge in the form of natural language text is easy to ac- quire, but ... See full document

10

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases

... The other line of work (the IR-based) has fo- cused on mapping answers and questions into the same embedding space, where one could query any KB independent of its schema without requiring any grammar or lexicon. Bordes ... See full document

11

Hybrid Question Answering over Knowledge Base and Free Text

Hybrid Question Answering over Knowledge Base and Free Text

... in question answering (QA) systems focuses on using structured knowledge bases (KBs) to find ...the question scope that the system can ...hybrid question answer- ing (hybrid-QA) ... See full document

11

Answering Definition Questions Using Web Knowledge Bases

Answering Definition Questions Using Web Knowledge Bases

... of question. The Text REtrieval Conference (TREC) provides an entire evaluation for definition question answering from ...the question target (the concept for which information is being ... See full document

9

Constraint Based Question Answering with Knowledge Graph

Constraint Based Question Answering with Knowledge Graph

... Knowledge-based question answering is a task that aims to answer natural language questions based on existing knowledge bases ...scale knowledge bases, such as Free- base ... See full document

12

Knowledge Based Question Answering as Machine Translation

Knowledge Based Question Answering as Machine Translation

... typical knowledge-based question an- swering (KB-QA) system faces two chal- lenges: one is to transform natural lan- guage questions into their meaning repre- sentations (MRs); the other is to retrieve ... See full document

10

Lattice CNNs for Matching Based Chinese Question Answering

Lattice CNNs for Matching Based Chinese Question Answering

... as question answering (QA) could pose further challenges for short text ...based question answering (DBQA), the matching de- gree is expected to reflect how likely a sentence can an- ... See full document

8

KVQA: Knowledge-Aware Visual Question Answering

KVQA: Knowledge-Aware Visual Question Answering

... edited Knowledge Graph (KG) that con- tains 50 million items including world knowledge about per- sons, taxons, administrative territorial entities, architectural structure, chemical compound, movies, ... See full document

9

Question Classification and Answering from Procedural Text in English

Question Classification and Answering from Procedural Text in English

... To our knowledge, similar to procedural text no standard corpora for English procedural questions are available for research. So, we had no choice to use any standard data and we had to prepare experimental ... See full document

16

Learning surface text patterns for a Question Answering System

Learning surface text patterns for a Question Answering System

... external knowledge has been added to these ...the question: “Where are the Rocky Mountains located?” is answered by “Denver’s new airport, topped with white fiberglass cones in imitation of the Rocky ... See full document

7

Building an Annotated Corpus for Text Summarization and Question Answering

Building an Annotated Corpus for Text Summarization and Question Answering

... of knowledge based approach at discourse level(Marcu, D,1997; Cristea, ...from text as well as for the more complex task of evaluation of summarization methods (Edmundson, ...of text to be annotated ... See full document

8

A text mining approach for Arabic question answering systems

A text mining approach for Arabic question answering systems

... of question set consisted of 500 questions of filtered MSNSearch logs and Ask Jeeves ...or knowledge based analysis of ...the question and answer snippets (Soubbotin, ... See full document

169

“Dialog Navigator”: A Question Answering System Based on Large Text Knowledge Base

“Dialog Navigator”: A Question Answering System Based on Large Text Knowledge Base

... ??????? ?? ??? ??? ? ???? ??? ????????? ??? ?? ????? ?? ????? ??? ????????? ???? ???? ??????? ???? ?? ???????? ??? ?????? ????? ????????? ??? ?? ????????? ?? ????? ?????????? ????????? ??? ?? ????????[.] ... See full document

7

Asking Clarification Questions in Knowledge Based Question Answering

Asking Clarification Questions in Knowledge Based Question Answering

... for knowledge-based question an- swering (KBQA) systems, especially for han- dling ambiguous ...clarification-related text understanding and ...a question, iden- tify whether clarification is ... See full document

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