[PDF] Top 20 Answering Complex Questions Using Open Information Extraction

... use open vocabulary tu- ples (as we assess in our experiments), its efficacy is limited by the difficulty of defining reliable join rules for such ...some complex curated tables covers all relevant contex- ... See full document

... Question Answering is among the most com- plex and interesting problems in the natural language litera- ture (Kazawa et ...non-factoid questions was to be addressed by participant systems (Voorhees, ... See full document

... the figure shows, the snippets contain a few instances of answers along with the target and question keywords. Our approach is able to select the most likely candidate answers, having an initial list of potential ... See full document

... Question-Answer Meaning Representation, or QAMR (Michael et al., 2018), was recently pro- posed as an extension of QA-SRL. Like QA- SRL, QAMR represents predicate-argument struc- ture with a set of question-answer pairs ... See full document

... There is an essential limitation to SemRep, how- ever: Its comparative module only considers scalar comparative constructions, as presented in Section 2.1. Non-scalar comparisons, e.g. comparisons like “Is X the same ... See full document

... processing complex questions. That is, questions whose answer needs to be gathered from pieces of factual information scattered in different docu- ...temporal questions. Complex ... See full document

... Thus, more sophisticated techniques were necessary to be able to place words and phrases into a useful evidentiary context. This pointed in the direction of web mining, which can be loosely defined as a collection of ... See full document

... of information-extraction (IE), gen- erating relational data from natural-language text, has received increasing attention in recent ...question answering, ontology learn- ing, and ... See full document

... matching questions to local contexts, but struggle with questions that require ...the information relevant for the answer are available – but when questions are complex, even retrieving ... See full document

... The questions set by the assessors are original questions so we expect they have some exposure to the topics in their questions even if they may know little about the ...some information about ... See full document

... In cluster analysis, the data or samples are divided into a number of useful subsets based on the similarity of data points. Initially, the number of subsets (clusters) or how they are distinguished from each other is ... See full document

... layer of the event extraction model contains 128 LSTM units. The hidden layer on top of that has 30 neurons. The input layer corresponding to the 4 token features is connected with a hidden layer with 3 neurons. ... See full document

... psychotherapy. Using only text input, the labeled topic model showed a strong degree of accuracy for particular codes when tallied over sessions ...(e.g., open questions, giving information, ... See full document

... The system integrates both dependency parse tree pattern and semantic role labeler (SRL) results of each input sentence when extracting the triples. The dependency parse tree patterns are used to generalize NL sentences ... See full document

... To parse text, we use an open-source suite of mul- tilingual syntactic analysis, DepPattern (Gamallo and Gonz´alez, 2011). The suite includes basic grammars for five languages as well as a compiler to build ... See full document

... Knowledge Extraction at a web scale re- quire a system capable of extracting diverse information from large, heterogeneous cor- ...The Open Information Extraction (OIE) paradigm aims at ... See full document

... where hypothesis graph contains n nodes and a text graph contains m nodes. (Hirao et al., 2004) represent the sen- tences using Dependency Tree Path (DTP) to incorporate syntactic information. They apply ... See full document

... question answering dataset collected on the En- glish Wikipedia, containing about 113k crowd- sourced questions that are constructed to require the introduction paragraphs of two Wikipedia arti- cles to ... See full document

... ing questions, ...for open-ended counting. As shown in Table 1, com- plex questions are scarce in these ...Simple questions can be solved using solely an object detection algorithm, so ... See full document

... answer extraction performance to the ini- tial quality of the result set? Does better docu- ment retrieval necessarily translate into more ac- curate answer extraction? These answers can- not be solely ... See full document