[PDF] Top 20 Aneesah: A Conversational Natural Language Interface to Databases

... The Aneesah system has been implemented using a novel PM engine. The PM engine controls user utterance matching against scripts in the system’s knowledge base. The PM engine works based on a two tier approach ... See full document

... In Natural Language Processing a common set of characteristics can be generally assumed about the used grammars: the lexical items that define the nodes are the word forms; the parsing is concerned with only ... See full document

... interpret natural language queries and to generate the corresponding SQL ...interpret natural language queries, the NLIDB must know the relationship between the natural language ... See full document

... This paper introduced SEEKER, a system that contains a CA as the NLI to a relational database. SEEKER uses the CA to capture key words in a user’s utterance and translates this into an SQL query using an expert system ... See full document

... interactive natural language query interface for relational ...the natural language query and representing the inter- pretation as a linguistic parse ...ural language queries ... See full document

... For example, TED asks for the heading names of the columns, for possible synonyms for t h e heading names, and for information about the types of values numeric, Boolean, or symbolic tha[r] ... See full document

... Relational databases are queried using database query languages such as SQL. Natural language interfaces to databases (NLIDB) are systems that translate a natural language ... See full document

... Conversational interfaces recently gained a lot of attention. One of the reasons for the current hype is the fact that chat- bots (one particularly popular form of con- versational interfaces) nowadays can be ... See full document

... There is voluminous literature on the design of NL interfaces to general (non-temporal) databases (see (Perrault and Grosz, 1988; Copestake and Jones, 1990; Androutsopoulos et al., 1995) for surveys) and by now ... See full document

... The most promising results reported on several databases used for validating NLIDBs have been recently achieved by Sqlizer (Yaghmazadeh et al., 2017). Its main contributions are related to the fact that it uses a ... See full document

... Natural language processing is the technology for dealing with our most ubiquitous product: human language, as it appears in emails, web pages, tweets, product descriptions, newspaper stories, social ... See full document

... As shown in Figure 1, our system is based on a rule- based kernel whose role is to ensure a correct translation from simple queries to SQL. Generally, we have two main steps: (1) rule based semantic parsing (Quest Engine ... See full document

... Text-to-SQL generation Text-to-SQL genera- tion has been studied for decades in both DB and NLP communities. (Warren and Pereira, 1982; Zettlemoyer and Collins, 2005; Popescu et al., 2003; Li et al., 2006; Li and ... See full document

... maps natural language questions to a Machine Readable Language formula (MRL) which can be exe- cuted against the OSM ...an interface (see Figure 1 for a screenshot) that makes the parser ... See full document

... 6.1. Natural Language Interpreter Evaluation Along the system development, two separate evaluation processes were performed, the first one after the development of the semantic grammar and the second after ... See full document

... If two classes are connected by an attribute relationship, this rule selects the root class of the relation as the meaning of the unified class, because the root class clarifies the sema[r] ... See full document

... cognitive related interaction with 2 year old deaf children. The impact of childhood deafness on parent-child interaction in those areas thought to be crucial for future social-cognitive development, are apparent early ... See full document

... PROCESSING COMPLEX NOUN PHRASES IN A NATURAL LANGUAGE INTERFACE TO A STATISCAL DATABASE PROCESSING COMPLEX NOUN PHRASES IN A NATURAL LANGUAGE INTERFACE TO A STATISTICAL DATABASE F r e d P O P O W l C[.] ... See full document

... include natural lan- guage and speech processing, spoken dialogue systems, and machine learning for language pro- ...in natural language and speech ...and Language Processing (2005- ... See full document

... Figure 1 shows the architecture we propose for an open-domain conversational system. The architec- ture has three main components: utterance understanding, dialogue control, and utterance generation. Following the ... See full document