The analysis of multiple DNA or protein sequences (I) Sequence similarity is an important issue in sequence alignments. In molecular biology, proteins and DNA can be similar with respect to their function, their structure, or their primary sequence of amino or nucleic acids. The general rule is that sequence determines shape, and shape determines function. So when we study sequence similarity, ...

This paper describes a method for definition question answering based on the use of surface text patterns. The method is specially suited to answer questions about person’s positions and acronym’s descriptions. It considers two main steps. First, it applies a sequence-mining algorithm to discover a set of definition-related text patterns from the Web. Then, using these patterns, it extracts a c...

We define the weighted-sequence problem inspired by an important industrial problem in oracle query optimization. We evaluate several approaches to solving this problem using answer set programming (ASP) system clingo and constraint answer set programming (CASP) solver clingcon. The focus of this paper is an experimental evaluation of search procedures behind clingo and clingcon. We used instan...

0099-1112/04/7002–0217/$3.00/0 © 2004 American Society for Photogrammetry and Remote Sensing Abstract A rule-based expert system has been the most common artificial intelligence (AI) technique for system integration with geographic information systems (GIS) because of its simple rule structure. In this paper, a rule-based expert system is presented that uses an interactive question-and-answer s...

Machine comprehension is a critical problem that lies on the frontier of natural language processing. The Stanford Question Answering Dataset (SQuAD), offers a set of questions and their answers created by humans through crowdsourcing. We implemented an end-to-end neural architecture for the task based on MatchLSTM and Pointer Net, inspired by previous work done by Wang and Jiang in Machine Com...

In this paper, we generalize the ordinary basic model of the Progressive means by introducing the new notion of the extended Progressive means or the notion of the Progressive means with a moving sequence of partial sums. Afterwords we use this new concept to talk about a multiplier ωe(n, r, z, f) of the extended Progressive means and convex maps of the unit disk. The work presented gives more ...

This paper presents an end-to-end neural network model, named Neural Generative Question Answering (GENQA), that can generate answers to simple factoid questions, both in natural language. More specifically, the model is built on the encoder-decoder framework for sequence-to-sequence learning, while equipped with the ability to access an embedded knowledge-base through an attention-like mechani...