Article discussing the performance of different computational methods for prediction of glycosylation sites from amino acid sequences.

Paper from the Web-Scale Classification: Classifying Big Data from the Web Workshop. This paper proposes novel features that result in effective and efficient classification models for automatic identification of research articles.

In this paper, the authors evaluate the extent to which human-written book summaries can be obtained through cut-and-paste operations from the original book. The authors analyze the effect of the parameters involved in the decomposition algorithm, and highlight the distinctions in coverage obtained for different summary types.

This paper discusses explorations in automatic book summarization.

This paper analyzes the topic identification stage of single-document automatic text summarization across four different domains, consisting of newswire, literary, scientific and legal documents.

This article proposes a software framework for identifying the percentage and sources of communication non-determinism.

This article presents a comprehensive overview of the key enabling technologies required for 5G and 6G networks, highlighting the massive MIMO systems. The authors discuss the fundamental challenges related to pilot contamination, channel estimation, precoding, user scheduling, energy efficiency, and signal detection in massive MIMO systems and discuss state-of-the-art mitigation techniques. Recent trends such as terahertz communication, ultra massive MIMO (UM-MIMO), visible light communication (VLC), machine learning, and deep learning for massive MIMO systems are outlined. Finally, future research for massive MIMO systems for 5G and beyond is discussed.

This article proposes a novel preconditioned and accelerated Gauss–Siedel algorithm referred to as Symmetric Successive Overrelaxation Preconditioned Gauss-Seidel (SSORGS) to address the signal detection challenges associated with massive MIMO technology.

This paper discusses performance enhancement by eliminating redundant function execution.

This paper discusses building a sense tagged corpus with Open Mind Word Expert, an implemented active learning system for collecting word sense tagging from the general public over the Web.

This paper discusses word sense disambiguation.

This article discusses Open Mind Word Expert (OMWE), a system that aims to tap people's ability to disambiguate words and to give computers the benefit of people's knowledge.

This paper describes the English-Hindi Multilingual lexical sample task in SENSEVAL-3.

This paper discusses measuring the semantic similarity of texts.

This article discusses text and structural data mining of influenza mentions in web and social media.

In this paper, the authors present a knowledge-based method for measuring the semantic-similarity of texts. Through experiments performed on two different applications: (1) paraphrase and entailment identification, and (2) word sense similarity, the authors show that this method outperforms the traditional text similarity metrics based on lexical matching.

This article discusses dynamic intimate contact social networks and epidemic interventions.

This paper presents a method for automatic topic identification using a graph-centrality algorithm applied to an encyclopedic graph derived from Wikipedia. When tested on a data set with manually assigned topics, the system is found to significantly improve over a simpler baseline that does not make use of the external encyclopedic knowledge.

This article discusses automatic keyword extraction for learning object repositories.

This paper presents a method for automatic topic identification using an encyclopedic graph derived from Wikipedia. The system is found to exceed the performance of previously proposed machine learning algorithms for topic identification, with an annotation consistency comparable to human annotations.

This paper discusses automatic generating of back-of-the-book indexes.

This paper discusses investigations in unsupervised back-of-the-book indexing.

This paper discusses linguistically motivated features for enhanced back-of-the-book indexing.

This paper discusses linking educational materials to encyclopedic knowledge.