Total Articles: 38870

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8486

AbstractIn this paper we present LX-Parser, a probabilistic, robust constituency parser for Portuguese. This parser achieves ca. 88% f-score in the labeled bracketing task, thus reaching a state-of-the-art performance score that is in line with those that are currently obtained by top-ranking parsers for English, the most studied natural language. …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8487

AbstractRecently, the credibility of information on the Web has become an important issue. In addition to telling about content of source documents, indicating how to interpret the content, especially showing interpretation of the relation between statements appeared to contradict each other, is important for helping a user judge the credibility …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8488

AbstractWith a view to rationalise the evaluation process within the Orange Labs spoken dialogue system projects, a field audit has been realised among the various related professionals. The article presents the study's main conclusions and draws work perspectives to enhance the evaluation process in such a complex organisation. We first …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8489

AbstractA novel method to automatically associate ontological concepts to their realisations in texts is presented. The method has been developed in the context of the Papyrus project to annotate texts and audio transcripts with a set of relevant concepts from the Papyrus News Ontology. To avoid strong dependency on a …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8490

AbstractProper annotation process management is crucial to the construction of corpora, which are in turn indispensable to the data-driven techniques that have come to the forefront in NLP during the last two decades. It is still common to see ad-hoc tools created for a specific annotation project, but it is …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8514

AbstractOne of the methods that has been proposed for dealing with real-word errors (errors that occur when a correctly spelled word is substituted for the one intended) is the ""confusion-set"" approach - a confusion set being a small group of words that are likely to be confused with one another. …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8515

AbstractIn this paper, we present the main features of a text mining based search engine for the UK Educational Evidence Portal available at the UK National Centre for Text Mining (NaCTeM), together with a user-centred framework for the evaluation of the search engine. The framework is adapted from an existing …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8516

AbstractThis paper describes the Alborada-I3A corpus of disordered speech, acquired during the recent years for the research in different speech technologies for the handicapped like Automatic Speech Recognition or pronunciation assessment. It contains more than 2 hours of speech from 14 young impaired speakers and nearly 9 hours from 232 …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8517

AbstractThe linguistic resources presented in this paper are designed for the recognition and semantic tagging of calendar expressions in French. While existing resources generally put the emphasis on describing calendar bases pointed out by calendar expressions (which are considered as named entities), our approach tries to explicit how references to …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8518

AbstractAlthough the Semantic web is steadily gaining in popularity, it remains a mystery to a large percentage of Internet users. This can be attributed to the complexity of the technologies that form its core. Creating intuitive interfaces which completely abstract the technologies underneath, is one way to solve this problem. …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8519

AbstractEvaluation of complex, collaborative dialogue systems is a difficult task. Traditionally, developers have relied upon subjective feedback from the user, and parametrisation over observable metrics. However, both models place some reliance on the notion of a task; that is, the system is helping to user achieve some clearly defined goal, …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8520

AbstractIn this paper we describe the development of a schema for the annotation of attribution relations and present the first findings and some relevant issues concerning this phenomenon. Following the D-LTAG approach to discourse, we have developed a lexically anchored description of attribution, considering this relation, contrary to the approach …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8521

AbstractThis paper presents TRmorph, a two-level morphological analyzer for Turkish. TRmorph is a fairly complete and accurate morphological analyzer for Turkish. However, strength of TRmorph is neither in its performance, nor in its novelty. The main feature of this analyzer is its availability. It has completely been implemented using freely …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8522

AbstractThis paper describes our efforts to build a multilingual heritage corpus of alpine texts. Currently we digitize the yearbooks of the Swiss Alpine Club which contain articles in French, German, Italian and Romansch. Articles comprise mountaineering reports from all corners of the earth, but also scientific topics such as topography, …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8523

AbstractThe focus of information retrieval evaluations, such as NIST’s TREC evaluations (e.g. Voorhees 2003), is on evaluation of the information content of system responses. On the other hand, retrieval tasks usually involve two different dimensions: reporting relevant information and providing sources of information, including corroborating evidence and alternative documents. Under …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8524

AbstractThis paper describes a method based on morphological analysis of words for a Persian Part-Of-Speech (POS) tagging system. This is a main part of a process for expanding a large Persian corpus called Peyekare (or Textual Corpus of Persian Language). Peykare is arranged into two parts: annotated and unannotated parts. …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8525

AbstractErrors in machine translations of English-Iraqi Arabic dialogues were analyzed at two different points in the systems? development using HTER methods to identify errors and human annotations to refine TER annotations. The analyses were performed on approximately 100 translations into each language from 4 translation systems collected at two annual …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8526

AbstractIn Knowledge Management, variations in information expressions have proven a real challenge. In particular, classical semantic relations (e.g. synonymy) do not connect words with different parts-of-speech. The method proposed tries to address this issue. It consists in building a derivational resource from a morphological derivation tool together with derivational guidelines …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8527

AbstractThis presentation and accompanying demonstration focuses on the development of a mobile platform for e-learning purposes with enhanced text-to-speech capabilities. It reports on an international consortium project entitled Mobile E-learning for Africa (MELFA), which includes a reading and literacy training component, particularly focusing on an African language, isiXhosa. The high …...

nan

Publication: TIPSTER (2010)

DOI: nan

Paper ID: 8528

AbstractAt present there is no publicly available data set to evaluate the performance of different summarization systems on the task of generating location-related extended image captions. In this paper we describe a corpus of human generated model captions in English and German. We have collected 932 model summaries in English …...