Taxonomy

This paper explores the automatic construction of a multilingual Lexical Knowledge Base from pre-existing lexical resources. We present a new and robust approach for linking already existing lexical/semantic hierarchies. We …...

Numerative classifiers are ubiquitous in many Asian languages. This paper pro- poses a method to construct a taxonomy of numerative classifiers based on a noun- classifier agreement database. The taxon- …...

A novel method for unsupervised acquisition of knowledge for taxonomies of concepts from raw Wikipedia text is presented. We assume that the concepts classified under the same node in a …...

Paratactic syntactic structures are noto- riously difficult to represent in depen- dency formalisms. This has painful con- sequences such as high frequency of pars- ing errors related to coordination. In …...

This paper describes the first shared task on Taxonomy Extraction Evaluation organ- ised as part of SemEval-2015. Participants were asked to find hypernym-hyponym re- lations between given terms. For each …...

AbstractGuided by multiple heuristics, a unified taxonomy of entities and categories is distilled from the Wikipedia category network. A comprehensive evaluation, based on the analysis of upward generalization paths, demonstrates …...

AbstractIn this paper, we present a taxonomy of stories told in dialogue. We based our scheme on prior work analyzing narrative structure and method of telling, relation to storyteller identity, …...

AbstractA taxonomy is a semantic hierarchy, consisting of concepts linked by is-a relations. While a large number of taxonomies have been constructed from human-compiled resources (e.g., Wikipedia), learning taxonomies from …...

Questions play an important role in the educational domain, representing the main form of interaction between instructors and students. In this paper, we introduce the first taxonomy and annotated educational …...

AbstractIn this paper, we propose a hybrid technique for semantic question matching. It uses a proposed two-layered taxonomy for English questions by augmenting state-of-the-art deep learning models with question classes …...

Named Entity Linking (NEL) and relation extraction forms the backbone of Knowledge Base Population tasks. The recent rise of large open source Knowledge Bases and the continuous focus on improving …...

AbstractCompetitive debaters often find themselves facing a challenging task – how to debate a topic they know very little about, with only minutes to prepare, and without access to books …...

AbstractExtracting structured knowledge from product profiles is crucial for various applications in e-Commerce. State-of-the-art approaches for knowledge extraction were each designed for a single category of product, and thus do …...

AbstractIn pace with developments in the research field of artificial intelligence, knowledge graphs (KGs) have attracted a surge of interest from both academia and industry. As a representation of semantic …...

AbstractNatural language processing (NLP) researchers develop models of grammar, meaning and communication based on written text. Due to task and data differences, what is considered text can vary substantially across …...

AbstractAs an efficient approach to understand, generate, and process natural language texts, research in natural language processing (NLP) has exhibited a rapid spread and wide adoption in recent years. Given …...

AbstractPerforming prior authorization on patients in a medical facility is a time-consuming and challenging task for insurance companies. Automating the clinical decisions that lead to authorization can reduce the time …...