Total Articles: 38870

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16396

AbstractNowadays we are facing a growing demand for semantic knowledge in computational applications, particularly in Natural Language Processing (NLP). However, there aren’t sufficient human resources to produce that knowledge at the same rate of its demand. Considering the Portuguese language, which has few resources in the semantic area, the situation …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16397

AbstractMultiword expressions (MWEs) are quite frequent in languages such as English, but their diversity, the scarcity of individual MWE types, and contextual ambiguity have presented obstacles to corpus-based studies and NLP systems addressing them as a class. Here we advocate for a comprehensive annotation approach: proceeding sentence by sentence, our …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16398

AbstractThis paper describes the AusTalk corpus, which was designed and created through the Big ASC, a collaborative project with the two main goals of providing a standardised infrastructure for audio-visual recordings in Australia and of producing a large audio-visual corpus of Australian English, with 3 hours of AV recordings for …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16400

AbstractThe NLP researcher or application-builder often wonders “what corpus should I use, or should I build one of my own? If I build one of my own, how will I know if I have done a good job?” Currently there is very little help available for them. They are in …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16401

AbstractThis work presents an initial investigation on how to distinguish collocations from free combinations. The assumption is that, while free combinations can be literally translated, the overall meaning of collocations is different from the sum of the translation of its parts. Based on that, we verify whether a machine translation …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16402

AbstractAlthough corpus size is a well known factor that affects the performance of many NLP tasks, for many languages large freely available corpora are still scarce. In this paper we describe one effort to build a very large corpus for Brazilian Portuguese, the brWaC, generated following the Web as Corpus …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16403

AbstractIn this article, we present interHist, a compact visualization for the interactive exploration of results to complex corpus queries. Integrated with a search interface to the PAISA corpus of Italian web texts, interHist aims at facilitating the exploration of large results sets to linguistic corpus searches. This objective is approached …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16404

AbstractFrame-semantic parsing is a kind of automatic semantic role labeling performed according to the FrameNet paradigm. The paper reports a novel approach for boosting frame-semantic parsing accuracy through the use of the C5.0 decision tree classifier, a commercial version of the popular C4.5 decision tree classifier, and manual rule enhancement. …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16405

AbstractWe present a corpus of child and child-directed speech of European Portuguese. This corpus results from the expansion of an already existing database (Santos, 2006). It includes around 52 hours of child-adult interaction and now contains 27,595 child utterances and 70,736 adult utterances. The corpus was transcribed according to the …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16406

AbstractThis paper describes an experiment to compare four tools to recognize named entities in Portuguese texts. The experiment was made over the HAREM corpora, a golden standard for named entities recognition in Portuguese. The tools experimented are based on natural language processing techniques and also machine learning. Specifically, one of …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16407

AbstractAnnotation and labeling of speech tasks in large multitask speech corpora is a necessary part of preparing a corpus for distribution. We address three approaches to annotation and labeling: manual, semi automatic and automatic procedures for labeling the UCU Accent Project speech data, a multilingual multitask longitudinal speech corpus. Accuracy …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16408

AbstractIt is well known that word aligned parallel corpora are valuable linguistic resources. Since many factors affect automatic alignment quality, manual post-editing may be required in some applications. While there are several state-of-the-art word-aligners, such as GIZA++ and Berkeley, there is no simple visual tool that would enable correcting and …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16409

AbstractThe question of interoperability for linguistic annotated resources covers different aspects. First, it requires a representation framework making it possible to compare, and eventually merge, different annotation schema. In this paper, a general description level representing the multimodal linguistic annotations is proposed. It focuses on time representation and on the …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16410

AbstractWe present the components of a processing chain for the creation, visualization, and validation of lexical resources (formed of terms and relations between terms). The core of the chain is a component for building lexical networks relying on Harris’ distributional hypothesis applied on the syntactic dependencies produced by the French …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16411

AbstractThe Distress Analysis Interview Corpus (DAIC) contains clinical interviews designed to support the diagnosis of psychological distress conditions such as anxiety, depression, and post traumatic stress disorder. The interviews are conducted by humans, human controlled agents and autonomous agents, and the participants include both distressed and non-distressed individuals. Data collected …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16412

AbstractMachine translationness (MTness) is the linguistic phenomena that make machine translations distinguishable from human translations. This paper intends to present MTness as a research object and suggests an MT evaluation method based on determining whether the translation is machine-like instead of determining its human-likeness as in evaluation current approaches. The …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16413

AbstractRecent years have seen an increased interest in and availability of parallel corpora. Large corpora from international organizations (e.g. European Union, United Nations, European Patent Office), or from multilingual Internet sites (e.g. OpenSubtitles) are now easily available and are used for statistical machine translation but also for online search by …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16414

AbstractIn the present paper, we describe the development of the lexical network DeriNet, which captures core word-formation relations on the set of around 266 thousand Czech lexemes. The network is currently limited to derivational relations because derivation is the most frequent and most productive word-formation process in Czech. This limitation …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16415

AbstractCrowdsourcing is an emerging collaborative approach that can be used for the acquisition of annotated corpora and a wide range of other linguistic resources. Although the use of this approach is intensifying in all its key genres (paid-for crowdsourcing, games with a purpose, volunteering-based approaches), the community still lacks a …...

nan

Publication: TIPSTER (2014)

DOI: nan

Paper ID: 16416

AbstractAs a first step towards assessing the quality of support offered online for Open Source Software (OSS), we address the task of locating requests, i.e., messages that raise an issue to be addressed by the OSS community, as opposed to any other message. We present a corpus of online communication …...