[PDF] Top 20 Question Answering Using Integrated Information Retrieval and Information Extraction

... A number of systems have used techniques in- spired by information extraction. One of the top sys- tems in the other questions category at the 2004 and 2005 evaluations generated lexical-syntactic pat- ... See full document

... The data challenge is more formally framed as ontology or (textual) schema matching (Hobbs, 1985; Rahm and Bernstein, 2001; Euzenat and Shvaiko, 2007): matching structure of two on- tologies/databases or (in extension) ... See full document

... event extraction model uses long short-term memory (LSTM) (Hochreiter and Schmidhuber, 1997), an RNN architecture well-suited for se- quential ...The extraction model has two com- ponents, as shown on the ... See full document

... trivia question and answer pairs as ...the information extracted using simple part- of-speech ...the extraction of surface text patterns with WordNet- based filtering of name-apposition pairs ... See full document

... Process Question Shallow parse question Determine Asking Point Question expansion using word lists Process Documents Tokenization, POS tagging, NE Indexing Shallow Parsing not yet utiliz[r] ... See full document

... Open information extraction (open IE) has been shown to be useful in a number of NLP tasks, such as question answering (Fader et ...tion extraction (Soderland et al., 2010), and infor- ... See full document

... Effective question answering (QA) systems have been a long-standing quest of AI research. Struc- tured curated KBs have been used successfully for this task (Berant et al., 2013; Berant and Liang, 2014). ... See full document

... Question answering (QA) with textual corpora is typically modeled as first finding a candidate set of passages (sentences) that may contain an answer to a question, followed by an optional candidate ... See full document

... by using Adam (Kingma and Ba, 2014) instead of standard SGD (our ...by using more sophisticated reader architectures, e.g. using B ERT based ...that retrieval is an important component of an ... See full document

... We considered four sources of candidate ques- tions which we hope to reflect the actual informa- tion need of the Internet users. First, thanks to the courtesy of Marcin Walas we were given ac- cess to user query logs of ... See full document

... Previously, QA and IR techniques were not di- rectly comparable since they returned different re- sponse units. To make evaluation even more com- plex, different types of questions (e.g., factoid vs. “other”) require ... See full document

... for answering non-factoid Japanese ...non-factoid question is “Why are people opposed to the Pri- vate Information Protection Law?” We used vari- ous methods of passage retrieval for the ... 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 ... See full document

... automatic question answering that do not require training data in the form of MCQs, using Information Retrieval (IR) techniques and standard neural network ... See full document

... sage retrieval and other related features, finding that these features were related to the nature of ...term information in the retrieved list, helped users make relevance judgments for simple topics, but ... See full document

... In this paper, we extend an existing para- graph retrieval approach to why-question answering. The starting-point is a system that retrieves a relevant answer for 73% of the test questions. However, ... See full document

... To find out the possible errors for back propagation, we need to compute the derivative of p(wk+j|wk;θ) ,whose computation cost is proportional to the vocabulary size N. Since N is often very large, it is hard to ... See full document

... technology| information science| informatics| information processing | IP} additionally stated as procedure linguistic is solely the utilization of computers for processing natural languages ... See full document

... community question answering web ...between question and candidate answers and context information are used to construct models by ranking learning method to extract the ...an ... See full document

... system, Question and answering system, Information retrieval system, Information extraction system, Expert system etc both in text and speech processing ... See full document