[PDF] Top 20 QUINT: Interpretable Question Answering over Knowledge Bases

... Detailed explanations are geared towards ad- vanced users who are familiar with dependency parses and SPARQL queries. A detailed expla- nation shows the derivation steps which roughly correspond to the right hand side of ... See full document

... Interpretability of machine learning (ML) models becomes more relevant with their in- creasing adoption. In this work, we address the interpretability of ML based question answer- ing (QA) models on a combination ... See full document

... The GRAFT-Net model itself is motivated from the large body of work on graph representation learning (Scarselli et al., 2009; Li et al., 2016; Kipf and Welling, 2016; Atwood and Towsley, 2016; Schlichtkrull et al., ... See full document

... from knowledge base, and 1-hop rea- soning using the ...our knowledge base but for ease of experimentation restrict it to a subset of Freebase which contains all facts that are within 2-hops of any entity ... See full document

... 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

... We highlight major trends in the field, and how our work compares with them. We focus mostly on non-factoid QA, which is usually implemented in two forms: multiple-choice QA such as AI2’s Rea- soning Challenge (ARC), ... See full document

... Web knowledge base (KB). The definitions from them often supply knowledge that can be exploited ...knowledge bases. The results of our system reveal that the Web knowledge bases ... See full document

... 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 difficult for ... See full document

... of knowledge bases (KBs) on the web, how to take full advan- tage of them becomes increasingly impor- ...tant. Question answering over knowledge base (KB-QA) is one of the ... See full document

... As discussed in section 3.2, N-Gram pruning is still subject to large amount of noise in inference due to many non-subject-mention n-grams. Moti- vated by this problem, we propose to reduce such noise by focusing on more ... See full document

... 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

... 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

... 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

... test question “who did location surrender to in number ” (where “location” and “ number ” are entity types which replace the topic entity men- tion “France” and the constraint entity mention “ww2”, respectively in ... See full document

... 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

... to-end question answering systems, such systems often strug- gle when additional knowledge is needed to correctly an- swer the ...the question and the natural language text to a logical rep- ... See full document

... a knowledge base K and text T . Few example question answer pairs are shown in Table 2. Universal Schema Traditionally universal schema is used for relation extraction in the context of knowledge ... See full document

... Welcome to ACL 2017 in Vancouver, Canada! This is the 55th annual meeting of the Association for Computational Linguistics. A tremendous amount of knowledge has been presented at more than half a century’s worth ... See full document

... applied over the input matrix comprised of input tokens trans- formed into word embeddings, followed by max pooling, a fully-connected layer and softmax to output the final ... See full document

... a Knowledge Base is the scope and the detail level of its ...A Knowledge Base should obviously covers the same subjects as the question, in other words, there should be a match of scope between the ... See full document