Œe recent boom of AI has seen the emergence of many humancomputer conversation systems such as Google Assistant, Microso‰ Cortana, Amazon Echo and Apple Siri. We introduce and formalize the task of predicting questions in conversations, where the goal is to predict the new question that the user will ask, given the past conversational context. Œis task can be modeled as a “sequence matching” pr...

Matching is the key problem in both search and recommendation, that is to measure the relevance of a document to a query or the interest of a user on an item. Previously, machine learning methods have been exploited to address the problem, which learns a matching function from labeled data, also referred to as “learning to match” [17]. In recent years, deep learning has been successfully applie...

We study the the following question in Random Graphs. We are given two disjoint sets L,R with |L| = n = αm and |R| = m. We construct a random graph G by allowing each x ∈ L to choose d random neighbours in R. The question discussed is as to the size μ(G) of the largest matching in G. When considered in the context of Cuckoo Hashing, one key question is as to when is μ(G) = n whp? We answer this...

This research is case study which was designed to investigate the acquisition of WH-question byPersian and English speaking children between 2 to 4 years old. Four girls and their input wereprecisely analyzed in order to figure how WH-questions are effective in their speaking in theirdaily lives. In the current study the subjects were randomly selected and the matter of gender wasnot considered...

The investigation presented in this paper is a novel method in question answering (QA) that enables a QA system to gain performance through reuse of information in the answer to one question to answer another related question. Our analysis shows that a pair of question in a general open domain QA can have embedding relation through their mentions of noun phrase expressions. We present methods f...

We have developed Metis, a question-answering system that finds an answer by matching a question graph with the knowledge graphs. The question graph is obtained as a result of semantic analysis of a question sentence, the knowledge graphs are similarly analyzed from knowledge sentences retrieved from a database using keywords extracted from the question sentence. In retrieving such knowledge se...