Keyword Extraction

In this paper, experiments on automatic extraction of keywords from abstracts us- ing a supervised machine learning algo- rithm are discussed. The main point of this paper is that by …...

We propose a multiple-document summa- rization system with user interaction. Our system extracts keywords from sets of docu- ments to be summarized and shows the key- words to a user …...

This paper presents a study on if and how automatically extracted keywords can be used to improve text categorization. In summary we show that a higher perfor- mance — as …...

Though both document summarization and keyword extraction aim to extract concise representations from documents, these two tasks have usually been investigated inde- pendently. This paper proposes a novel it- erative …...

This paper presents a new study on automatic terminology extraction in the context of bimodal corpora that were generated from lectures and meetings. More specifically, the study aims to observe …...

Named entity disambiguation concerns linking a potentially ambiguous mention of named entity in text to an unambigu- ous identifier in a standard database. One approach to this task is supervised …...

In this paper, we propose an unsupervised approach to automatically synthesize Wikipedia articles in multiple languages. Taking an existing high-quality version of any entry as content guideline, we extract keywords …...

Graph-based methods have gained attention in many areas of Natural Language Processing (NLP) including Word Sense Disambiguation (WSD), text summarization, keyword extrac- tion and others. Most of the work in …...

Live chats have become a popular form of communication, connecting people all over the globe. We believe that one of the simplest approaches for providing topic information to users joining …...

LDA-based tagging of Web videos This article presents a method for the automatic tagging of youtube videos. The proposed me- thod combines an automatic speech recognition system, that extracts the …...

AbstractThis paper introduces a new email dataset, consisting of both single and thread emails, manually annotated with summaries and keywords. A total of 349 emails and threads have been annotated. …...

This paper takes an in-depth look at the relationship between mechanically extracted keywords and ‘Top Ten News of the Year’ compiled by the news editors. A previous study that briefly …...

Text from social media is significant key information to understand social movement. However, the length of the social media text is typically short and concise with a lot of absent …...

In this paper, we present an unsupervised two-phase approach to extract keywords from Arabic documents that combines statistical analysis and linguistic information. The first phase detects all the N-grams that …...

AbstractThere are growing needs for patent analysis using Natural Language Processing (NLP)-based approaches. Although NLP-based approaches can extract various information from patents, there are very few approaches proposed to extract …...

In this paper, we explore a novel framework to generate a well-known text cloud visualiza- tion with the conceptual sense. The traditional text cloud is usually generated according to the …...

The present German political speeches corpus follows from a initial release which has been used in various research contexts. This article documents an updated and extended version: as 2017 marks …...

AbstractInformation retrieval (IR) for precision medicine (PM) often involves looking for multiple pieces of evidence that characterize a patient case. This typically includes at least the name of a condition …...

AbstractEMBEDDIA project developed a range of resources and methods for less-resourced EU languages, focusing on applications for media industry, including keyword extraction, comment moderation and article generation....

AbstractCan we build multi-view decoders that can decode concepts from brain recordings corresponding to any view (picture, sentence, word cloud) of stimuli? Can we build a system that can use …...

AbstractKeyword extraction is the task of retrieving words that are essential to the content of a given document. Researchers proposed various approaches to tackle this problem. At the top-most level, …...