For the task of implicit discourse relation recognition, traditional models utilizing manual features can suffer from data sparsity problem. Neural models provide a solution with distributed representations, which could encode the latent semantic information, and are suitable for recognizing semantic relations between argument pairs. However, conventional vector representations usually adopt em...

In this paper, we apply the entitymetrics model to our constructed Gene-Citation-Gene (GCG) network. Based on the premise there is a hidden, but plausible, relationship between an entity in one article and an entity in its citing article, we constructed a GCG network of gene pairs implicitly connected through citation. We compare the performance of this GCG network to a gene-gene (GG) network c...

Recently, Chinese implicit discourse relation recognition has attracted more and more attention, since it is crucial to understand the Chinese discourse text. In this paper, we propose a novel memory augmented attention model which represents the arguments using an attention-based neural network and preserves the crucial information with an external memory network which captures each discourse ...

Ficheux et al. may result from the method of TMP calculation. If only three pressure points are known, the fourth one (inlet dialysate pressure) must be inferred or assumed, so introducing great variability related to dialyser characteristics and operational setting. The impact of the fourth point on TMP calculation is highly significant and the error is increased by disregarding the contributi...

Research on the effect of implicit and explicit instruction on developing learners’ explicit knowledge by the use of measures of explicit knowledge abounds in the literature. However, measuring learners’ implicit knowledge employing fine-grained measures has rarely been the concern of researchers in the field. Therefore, the present study is an attempt to scrutinize the effectiveness of implici...

We introduce a simple and effective method to learn discourse-specific word embeddings (DSWE) for implicit discourse relation recognition. Specifically, DSWE is learned by performing connective classification on massive explicit discourse data, and capable of capturing discourse relationships between words. On the PDTB data set, using DSWE as features achieves significant improvements over base...

Four studies tested whether the perceived validity of intuition increases the correspondence between implicit and explicit self-esteem. Studies 1 and 2 found, with 2 different measures of implicit self-esteem, that people who chronically view their intuition as valid have more consistent implicit and explicit self-esteem. In contrast, people with relatively low faith in their intuition had a ne...

0022-1031/$ see front matter 2009 Elsevier Inc. A doi:10.1016/j.jesp.2009.06.008 * Corresponding author. Address: Institut für Ps Universität Jena, Am Steiger 3, Haus 1, D-07743 Jena, 112. E-mail addresses: [email protected] (I.D. E jena.de (M.C. Steffens). 1 The debate whether implicit and explicit attitudes yet been settled. When we use the term ‘‘implicit att evaluative processes that ...

Although explicit and implicit knowledge of language learners are essential to theoretical and pedagogical debates in second language acquisition (SLA), little research has addressed the effects of instructional interventions on the two knowledge types (R. Ellis, 2005).This study examined the relative effectiveness of explicit and implicit types of form-focused instruction (FFI) on the acquisit...