One of the core aims of semantic search is to directly present users with information instead of lists of documents. Various entity-oriented tasks have been or are being considered, including entity search and related entity finding. In the context of digital libraries for computational humanities, we consider another task, network extraction: given an input entity and a document collection, ex...

In this work a traditional MFCC based speaker verification system is combined with a prosody based one to determine whether simple short-term prosodic information is useful for improving current state-of-theart ASV. The traditional speaker verification system based in spectral information has an EER of 3.85% when using 1024 mixtures. The prosody based system uses short-term intonation and energ...

Most existing systems for Chinese Semantic Role Labeling (SRL) make use of full syntactic parses. In this paper, we evaluate SRL methods that take partial parses as inputs. We first extend the study on Chinese shallow parsing presented in (Chen et al., 2006) by raising a set of additional features. On the basis of our shallow parser, we implement SRL systems which cast SRL as the classification...

The exponential growth of Wikipedia recently attracts the attention of a large number of researchers and practitioners. One of the current challenge on Wikipedia is to make the encyclopedia processable for machines. In this paper, we deal with the problem of extracting relations between entities from Wikipedia’s English articles, which can straightforwardly be transformed into Semantic Web meta...

Linked Data has emerged as the preferred method for publishing and sharing cultural heritage data. One of the main challenges for museums is that the defacto standard ontology (CIDOC CRM) is complex and museums lack expertise in semantic web technologies. In this paper we describe the methodology and tools we used to create 5-star Linked Data for 14 American art museums with a team of 12 comput...

Determining the semantic relatedness between two words refers to computing a statistical measure of similarity between those words. Word similarity measures are useful in a wide range of applications such as natural language processing, query recommendation, relation extraction, spelling correction, document comparison and other information retrieval tasks. Although several methods that address...

We describe our system for SemEval-2018 Shared Task on Semantic Relation Extraction and Classification in Scientific Papers where we focus on the Classification task. Our simple piecewise convolution neural encoder performs decently in an end to end manner. A simple inter-task data augmentation significantly boosts the performance of the model. Our best-performing systems stood 8th out of 20 te...

As a high-level feature, prosody may be an effective feature when it is modeled over longer ranges than the typical range of a syllable. This paper is about language recognition with the high-level prosodic attributes. It studies two important issues of long-range modeling, namely the data scarcity handling method, and the model which properly describes prosodic boundary events. Illustrated by ...

This paper proposes a ternary relation extraction method primarily based on rich syntactic information. We identify PROTEIN-ORGANISM-LOCATION relations in the text of biomedical articles. Different kernel functions are used with an SVM learner to integrate two sources of information from syntactic parse trees: (i) a large number of syntactic features that have been shown useful for Semantic Rol...

We present OCMiner, a high-performance text processing system for large document collections of scientific publications. Several linguistic options allow adjusting the quality of annotation results which can be specialized and fine-tuned for the recognition of Life Science terms. Recognized terms are mapped to semantic concepts which are ontologically located within their respective domain taxo...