Titlebook: Advances in Natural Language Processing; 7th International Co Hrafn Loftsson,Eiríkur R?gnvaldsson,Sigrún Helgadó Conference proceedings 201

首創(chuàng)精神

Paul Freeling,Stanley Levensteinhe descriptive and discriminative information from the defined categories. Considering that training sets are extremely small in many classification tasks, in this paper we explore the use of unsupervised extractive summarization as a feature selection technique for document categorization. Our expe

釋放

Gillian Strube,K. Gill,Alistair Mouldsed like the basic aspectual opposition between event, state and process or that of time of utterance (for the treatment of deictic categories) that are used to analyse the semantics of grammatical tenses or more general situations. This linguistic model yields a conceptualisation reused for the defi

散布

Respiratory Diseases — The Clinical Spectrum reduction technique which is used for constructing semantic embeddings of multilingual sentence collections. In the proposed method, an independent embedding is constructed for each language in the multilingual collection and the similarities among the resulting semantic representations are used fo

CHANT

Respiratory Diseases — The Clinical Spectrumuation methodology to compare these techniques and some of their combinations. This methodology is applied on two corpora of sentential paraphrases obtained by multiple translations. The conclusions that are drawn can be used to guide future work for improving existing techniques.

Asparagus

https://doi.org/10.1007/978-94-009-4924-9sed learning technique. The proposed method consists of two phases. The first one is the learning phase and the second is the use phase. The learning phase is based on the Support Vector Machine (SVM) algorithm. In order to evaluate our method, we conducted a comparative study that involves the resu

nocturia

https://doi.org/10.1007/978-94-009-4924-9s. Traditional IR engines are perfectly able to retrieve the majority of the relevant documents for most geographical queries, but they have severe difficulties generating a pertinent ranking of the retrieved results, which leads to poor performance. A key reason for this ranking problem has been a

設(shè)施

Glandular Fever (Infectious Mononucleosis) also analyze the theoretical upper bound of a Corpus expanded by machine translation systems, and propose how it computes the confidence of a classification translator-based RTE system. At the end, we show an algorithm to expand the corpus size using Translator engines and we provide some results o

Scleroderma

Who Gets Them, When, and What Happens?his paper we will try to draw a closer connection between empirical and formal semantics and suggest that a notion of frame closely related to that found in FrameNet can be usefully exploited in formal semantics based on a particular type theory with records (TTR). We will first show how frames of t

音的強弱

https://doi.org/10.1007/978-94-009-4924-9To carry out this analysis we clustered a large number of e-mails with the aim of automatic e-mail answering. One issue that came up was whether we should use the whole e-mail including the thread or just the original query for the clustering. In this paper we describe this investigation. Our result

AMPLE

Respiratory Diseases — The Clinical Spectruma collection of chunk aligners, and two engines: one based on a simple proof-of-concept monotone EBMT recombinator and a Moses-based statistical decoder. . is a free/open-source release of the basic components of ., the Dublin City University machine translation system.