the present study attempted the relative effect of explicit teaching of textual metadiscourse markers on esap reading comprehension performance of iranian university students through an awareness raising experiment. a sixty-item multiple choice esap reading comprehension test of accounting was developed and validated to act as the pre-test and post-test. the test included items for assessing sp...

Discourse studies attempt to describe how context affects text, and how text progresses from one sentence to the next. Systemic Functional Linguistics (SFL) offers a model of language to describe how information flow varies according to context and co-text through the Textual metafunction, especially using the functions of Participant Identification and Tracking, Theme and Information Structure...

Document image compression is used for the speedy transmission of the data over the web. This paper deals with effective compression scheme for handwritten gray level documents in Devnagri script. The current OCR technology is not effective for handling the handwritten textual images. The proposed compression scheme is based on the separation of foreground and background of the image. Experimen...

We challenge the NLP community to participate in a large-scale, distributed effort to design and build resources for developing and evaluating solutions to new and existing NLP tasks in the context of Recognizing Textual Entailment. We argue that the single global label with which RTE examples are annotated is insufficient to effectively evaluate RTE system performance; to promote research on s...

World Wide Web contains 170 Terabytes of information [1] and storage estimates show that the new information is growing at a rate of over 30% a year. With the quanta of information growing exponentially, it is important to understand the information semantically to know what concepts are relevant and what are irrelevant [2]. The Evolutionary Behavior Of Textual Semantics (EBOTS) system being de...

Semantic analysis and annotation of textual information with appropriate semantic entities is an essential task to enable content based search on the annotated data. For video resources textual information is rare at first sight. But in recent years the development of technologies for automatic extraction of textual information from audio visual content has advanced. Additionally, video portals...

We report results obtained by the UoW method in SemEval-2014’s Task 10 – Multilingual Semantic Textual Similarity. We propose to model Semantic Textual Similarity in the context of Multi-task Learning in order to deal with inherent challenges of the task such as unbalanced performance across domains and the lack of training data for some domains (i.e. unknown domains). We show that the Multi-ta...

The main intrinsic evaluation for vector space representation has been focused on textual similarity, where the task is to predict how semantically similar two words or sentences are. We propose a novel framework, Story Cloze Evaluator, for evaluating vector representations which goes beyond textual similarity and captures the notion of predicting what should happen next given a context. This e...

The task of generating effective textual descriptions of the plans produced by automatic planning algorithms is made more difficult by the complexity of the plans themselves. Describing every component of a complicated plan makes for an awkward and ineffective description. The work I propose focuses on the development of domain-independent techniques to eliminate the complexity from these textu...