Мәтін корпусы

The llank of English is an international English hm- guage project sponsored by llarper-Collins Publish- ers, Glasgow, and conducl;ed by the COBUILD team at the University of Birrnhlgham, UK. The …...

In this study, a learning device based on the PAT- tree data structures was developed. The original PAT-trees were enhanced with the deletion function to emulate human learning competence. The …...

In this study, a learning device based on the PAT- tree data structures was developed. The original PAT-trees were enhanced with the deletion function to emulate human learning competence. The …...

Non-compositional expressions present a special challenge to NLP applications. We present a method for automatic identification of non-compositional ex- pressions using their statistical properties in a text corpus. Our method …...

We present a status report about an ongoing research project in the field of (semi-)automatic terminology acquisi- tion at the European Academy Bolzano. The main focus will be on encoding …...

AbstractThe phenomenon of coreference, covering entities, their mentions and their properties, is intricately linked to the phenomenon of coherence, covering the structure of rhetorical relations in a discourse. A text …...

AbstractRecently, language resources (LRs) are becoming indispensable for linguistic researches. However, existing LRs are often not fully utilized because their variety of usage is not well known, indicating that their …...

AbstractWe present an experimental framework for Entity Mention Detection in which two different classifiers are combined to exploit Data Redundancy attained through the annotation of a large text corpus, as …...

AbstractInvestigating differences in linguistic usage between individuals who have suffered brain injury (hereafter patients) and those who haven’t can yield a number of benefits. It provides a better understanding about …...

AbstractThe present paper outlines the Vergina speech database, which was developed in support of research and development of corpus-based unit selection and statistical parametric speech synthesis systems for Modern Greek …...

Traditional approaches to Relation Extraction from text require manually defining the rela- tions to be extracted. We propose here an ap- proach to automatically discovering relevant relations, given a large …...

In this paper, we train a semantic parser that scales up to Freebase. Instead of relying on annotated logical forms, which is especially expensive to obtain at large scale, we …...

Natural languages (NL) can be classified as prepositional or postpositional based on the order of the noun phrase and the adposition. Categorizing a language by its adposition typology helps in …...

In this paper, we propose and demonstrate Exploratory Relation Extraction (ERE), a novel approach to identifying and extracting relations from large text corpora based on user-driven and data-guided incremental exploration. …...

This paper integrates techniques in natural language processing and computer vision to improve recognition and description of entities and activities in real-world videos. We propose a strategy for generating textual …...

AbstractDistantly supervised relation extraction greatly reduces human efforts in extracting relational facts from unstructured texts. However, it suffers from noisy labeling problem, which can degrade its performance. Meanwhile, the useful …...

AbstractPrior work has proposed effective methods to learn event representations that can capture syntactic and semantic information over text corpus, demonstrating their effectiveness for downstream tasks such as script event …...

AbstractLarge text corpora are increasingly important for a wide variety of Natural Language Processing (NLP) tasks, and automatic language identification (LangID) is a core technology needed to collect such datasets …...

AbstractRelational triple extraction is critical to understanding massive text corpora and constructing large-scale knowledge graph, which has attracted increasing research interest. However, existing studies still face some challenging issues, including …...