This paper reported on a genre-driven comparative study, which aimed to identify the generic moves in the conclusion sections of twenty research articles in the field of sociology written in the two codes of Persian and English. To meet this purpose, the researchers employed Moritz, Meurer, and Dellagnelo's model, which was set within the Swalesian framework of genre analysis. The analysis was ...

Previous work has shown that pseudo relevance feedback (PRF) can be effective for cross-lingual information retrieval (CLIR). This research was primarily based on corpora such as news articles that are written using relatively formal language. In this paper, we revisit the problem of CLIR with a focus on the problems that arise with informal text, such as blogs and forums. To address the proble...

researchers have suggested that interactional feedback which is between teacher and learner during their writing is associated with l2 learning because it prompts learners to notice l2 forms. this paper reports a classroom-based study that investigated the role of feedback in socio-cultural theory. in this study, 12 efl learners performed on three writing tasks and were provided with a three-st...

This paper describes tools developed at Educational Testing Service which use statistical modeling of textual corpora to provide automated assessments of student responses. Details are given for three of these systems: Critique Writing Analysis Tools for providing feedback to students, e-rater for assigning a holistic score to student essays, and c-rater, which scores responses to content-based...

Xara is the working name for a new version of SARA, the `SGML aware retrieval application' originally developed for use with the British National Corpus (BNC) in 1994. The system has been completely rewritten as a general purpose tool for searching large XML corpora, with a particular focus on the needs of corpus linguists, with close attention to new XML-based encoding standards, and with the ...

this paper reported on a genre-driven comparative study, which aimed to identify the generic moves in the conclusion sections of twenty research articles in the field of sociology written in the two codes of persian and english. to meet this purpose, the researchers employed moritz, meurer, and dellagnelo's model, which was set within the swalesian framework of genre analysis. the analysis...

Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...

Backchannel feedback is an important kind of nonverbal feedback within face-to-face interaction that signals a person’s interest, attention and willingness to keep listening. Learning to predict when to give such feedback is one of the keys to creating natural and realistic virtual humans. Prediction models are traditionally learned from large corpora of annotated face-to-face interactions, but...

This document introduces the IJCNLP 2017 Shared Task on Customer Feedback Analysis. In this shared task we have prepared corpora of customer feedback in four languages, i.e. English, French, Spanish and Japanese. They were annotated in a common meanings categorization, which was improved from an ADAPTMicrosoft pivot study on customer feedback. Twenty teams participated in the shared task and tw...

We tackle the problem of improving microblog retrieval algorithms by proposing a Feedback Concept Model for query expansion. In particular, we expand the query using knowledge information derived from Probase so that the expanded one could better reflect users’ search intent, which allows for microblog retrieval at a concept-level, rather than termlevel. In the proposed feedback concept model: ...