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34,104 | I Wish I Didn't Say That! Analyzing and Predicting Deleted Messages in
Twitter | cs.SI | Twitter has become a major source of data for social media researchers. One
important aspect of Twitter not previously considered are {\em deletions} --
removal of tweets from the stream. Deletions can be due to a multitude of
reasons such as privacy concerns, rashness or attempts to undo public
statements. We show how... | computer science |
34,105 | Extended Lambek calculi and first-order linear logic | cs.CL | First-order multiplicative intuitionistic linear logic (MILL1) can be seen as
an extension of the Lambek calculus. In addition to the fragment of MILL1 which
corresponds to the Lambek calculus (of Moot & Piazza 2001), I will show
fragments of MILL1 which generate the multiple context-free languages and which
correspond... | computer science |
34,106 | Properties of phoneme N -grams across the world's language families | cs.CL | In this article, we investigate the properties of phoneme N-grams across half
of the world's languages. We investigate if the sizes of three different N-gram
distributions of the world's language families obey a power law. Further, the
N-gram distributions of language families parallel the sizes of the families,
which ... | computer science |
34,107 | Design & Development of the Graphical User Interface for Sindhi Language | cs.HC | This paper describes the design and implementation of a Unicode-based GUISL
(Graphical User Interface for Sindhi Language). The idea is to provide a
software platform to the people of Sindh as well as Sindhi diasporas living
across the globe to make use of computing for basic tasks such as editing,
composition, formatt... | computer science |
34,108 | Assessing Wikipedia-Based Cross-Language Retrieval Models | cs.IR | This work compares concept models for cross-language retrieval: First, we
adapt probabilistic Latent Semantic Analysis (pLSA) for multilingual documents.
Experiments with different weighting schemes show that a weighting method
favoring documents of similar length in both language sides gives best results.
Considering ... | computer science |
34,109 | Sentiment Analysis Using Collaborated Opinion Mining | cs.IR | Opinion mining and Sentiment analysis have emerged as a field of study since
the widespread of World Wide Web and internet. Opinion refers to extraction of
those lines or phrase in the raw and huge data which express an opinion.
Sentiment analysis on the other hand identifies the polarity of the opinion
being extracted... | computer science |
34,110 | Statistical Analysis based Hypothesis Testing Method in Biological
Knowledge Discovery | cs.IR | The correlation and interactions among different biological entities comprise
the biological system. Although already revealed interactions contribute to the
understanding of different existing systems, researchers face many questions
everyday regarding inter-relationships among entities. Their queries have
potential r... | computer science |
34,111 | Optimization Of Cross Domain Sentiment Analysis Using Sentiwordnet | cs.CL | The task of sentiment analysis of reviews is carried out using manually built
/ automatically generated lexicon resources of their own with which terms are
matched with lexicon to compute the term count for positive and negative
polarity. On the other hand the Sentiwordnet, which is quite different from
other lexicon r... | computer science |
34,112 | Learning Document-Level Semantic Properties from Free-Text Annotations | cs.CL | This paper presents a new method for inferring the semantic properties of
documents by leveraging free-text keyphrase annotations. Such annotations are
becoming increasingly abundant due to the recent dramatic growth in
semi-structured, user-generated online content. One especially relevant domain
is product reviews, w... | computer science |
34,113 | Improving Performance Of English-Hindi Cross Language Information
Retrieval Using Transliteration Of Query Terms | cs.IR | The main issue in Cross Language Information Retrieval (CLIR) is the poor
performance of retrieval in terms of average precision when compared to
monolingual retrieval performance. The main reasons behind poor performance of
CLIR are mismatching of query terms, lexical ambiguity and un-translated query
terms. The exist... | computer science |
34,114 | Constructing Reference Sets from Unstructured, Ungrammatical Text | cs.CL | Vast amounts of text on the Web are unstructured and ungrammatical, such as
classified ads, auction listings, forum postings, etc. We call such text
"posts." Despite their inconsistent structure and lack of grammar, posts are
full of useful information. This paper presents work on semi-automatically
building tables of ... | computer science |
34,115 | Evaluating Temporal Graphs Built from Texts via Transitive Reduction | cs.CL | Temporal information has been the focus of recent attention in information
extraction, leading to some standardization effort, in particular for the task
of relating events in a text. This task raises the problem of comparing two
annotations of a given text, because relations between events in a story are
intrinsically... | computer science |
34,116 | Centrality-as-Relevance: Support Sets and Similarity as Geometric
Proximity | cs.IR | In automatic summarization, centrality-as-relevance means that the most
important content of an information source, or a collection of information
sources, corresponds to the most central passages, considering a representation
where such notion makes sense (graph, spatial, etc.). We assess the main
paradigms, and intro... | computer science |
34,117 | Entropy analysis of word-length series of natural language texts:
Effects of text language and genre | cs.CL | We estimate the $n$-gram entropies of natural language texts in word-length
representation and find that these are sensitive to text language and genre. We
attribute this sensitivity to changes in the probability distribution of the
lengths of single words and emphasize the crucial role of the uniformity of
probabiliti... | computer science |
34,118 | A Review of Verbal and Non-Verbal Human-Robot Interactive Communication | cs.RO | In this paper, an overview of human-robot interactive communication is
presented, covering verbal as well as non-verbal aspects of human-robot
interaction. Following a historical introduction, and motivation towards fluid
human-robot communication, ten desiderata are proposed, which provide an
organizational axis both ... | computer science |
34,119 | A new keyphrases extraction method based on suffix tree data structure
for arabic documents clustering | cs.CL | Document Clustering is a branch of a larger area of scientific study known as
data mining .which is an unsupervised classification using to find a structure
in a collection of unlabeled data. The useful information in the documents can
be accompanied by a large amount of noise words when using Full Text
Representation,... | computer science |
34,120 | Word-length entropies and correlations of natural language written texts | cs.CL | We study the frequency distributions and correlations of the word lengths of
ten European languages. Our findings indicate that a) the word-length
distribution of short words quantified by the mean value and the entropy
distinguishes the Uralic (Finnish) corpus from the others, b) the tails at long
words, manifested in... | computer science |
34,121 | Keyword and Keyphrase Extraction Using Centrality Measures on
Collocation Networks | cs.CL | Keyword and keyphrase extraction is an important problem in natural language
processing, with applications ranging from summarization to semantic search to
document clustering. Graph-based approaches to keyword and keyphrase extraction
avoid the problem of acquiring a large in-domain training corpus by applying
variant... | computer science |
34,122 | Deverbal semantics and the Montagovian generative lexicon | cs.CL | We propose a lexical account of action nominals, in particular of deverbal
nominalisations, whose meaning is related to the event expressed by their base
verb. The literature about nominalisations often assumes that the semantics of
the base verb completely defines the structure of action nominals. We argue
that the in... | computer science |
34,123 | How Does Latent Semantic Analysis Work? A Visualisation Approach | cs.CL | By using a small example, an analogy to photographic compression, and a
simple visualization using heatmaps, we show that latent semantic analysis
(LSA) is able to extract what appears to be semantic meaning of words from a
set of documents by blurring the distinctions between the words. | computer science |
34,124 | Generating Extractive Summaries of Scientific Paradigms | cs.IR | Researchers and scientists increasingly find themselves in the position of
having to quickly understand large amounts of technical material. Our goal is
to effectively serve this need by using bibliometric text mining and
summarization techniques to generate summaries of scientific literature. We
show how we can use ci... | computer science |
34,125 | Evaluation of YTEX and MetaMap for clinical concept recognition | cs.IR | We used MetaMap and YTEX as a basis for the construc- tion of two separate
systems to participate in the 2013 ShARe/CLEF eHealth Task 1[9], the
recognition of clinical concepts. No modifications were directly made to these
systems, but output concepts were filtered using stop concepts, stop concept
text and UMLS semant... | computer science |
34,126 | Maximum Entropy, Word-Frequency, Chinese Characters, and Multiple
Meanings | cs.CL | The word-frequency distribution of a text written by an author is well
accounted for by a maximum entropy distribution, the RGF (random group
formation)-prediction. The RGF-distribution is completely determined by the a
priori values of the total number of words in the text (M), the number of
distinct words (N) and the... | computer science |
34,127 | Étude cognitive des processus de construction d'une requête dans un
système de gestion de connaissances médicales | cs.IR | This article presents the Cogni-CISMeF project, which aims at improving
medical information search in the CISMeF system (Catalog and Index of
French-language health resources) by including a conversational agent to
interact with the user in natural language. To study the cognitive processes
involved during the informat... | computer science |
34,128 | Software Requirement Specification Using Reverse Speech Technology | cs.CL | Speech analysis had been taken to a new level with the discovery of Reverse
Speech (RS). RS is the discovery of hidden messages, referred as reversals, in
normal speech. Works are in progress for exploiting the relevance of RS in
different real world applications such as investigation, medical field etc. In
this paper ... | computer science |
34,129 | Auto Spell Suggestion for High Quality Speech Synthesis in Hindi | cs.CL | The goal of Text-to-Speech (TTS) synthesis in a particular language is to
convert arbitrary input text to intelligible and natural sounding speech.
However, for a particular language like Hindi, which is a highly confusing
language (due to very close spellings), it is not an easy task to identify
errors/mistakes in inp... | computer science |
34,130 | Extracting Networks of Characters and Places from Written Works with
CHAPLIN | cs.CY | We are proposing a tool able to gather information on social networks from
narrative texts. Its name is CHAPLIN, CHAracters and PLaces Interaction
Network, implemented in VB.NET. Characters and places of the narrative works
are extracted in a list of raw words. Aided by the interface, the user selects
names out of them... | computer science |
34,131 | Detecting Opinions in Tweets | cs.CL | Given the incessant growth of documents describing the opinions of different
people circulating on the web, including Web 2.0 has made it possible to give
an opinion on any product in the net. In this paper, we examine the various
opinions expressed in the tweets and classify them positive, negative or
neutral by using... | computer science |
34,132 | A method to identify potential ambiguous Malay words through Ambiguity
Attributes mapping: An exploratory Study | cs.SE | We describe here a methodology to identify a list of ambiguous Malay words
that are commonly being used in Malay documentations such as Requirement
Specification. We compiled several relevant and appropriate requirement quality
attributes and sentence rules from previous literatures and adopt it to come
out with a set ... | computer science |
34,133 | Latent Semantic Word Sense Disambiguation Using Global Co-occurrence
Information | cs.CL | In this paper, I propose a novel word sense disambiguation method based on
the global co-occurrence information using NMF. When I calculate the dependency
relation matrix, the existing method tends to produce very sparse co-occurrence
matrix from a small training set. Therefore, the NMF algorithm sometimes does
not con... | computer science |
34,134 | Authorship detection of SMS messages using unigrams | cs.CL | SMS messaging is a popular media of communication. Because of its popularity
and privacy, it could be used for many illegal purposes. Additionally, since
they are part of the day to day life, SMSes can be used as evidence for many
legal disputes. Since a cellular phone might be accessible to people close to
the owner, ... | computer science |
34,135 | Finding Eyewitness Tweets During Crises | cs.CL | Disaster response agencies have started to incorporate social media as a
source of fast-breaking information to understand the needs of people affected
by the many crises that occur around the world. These agencies look for tweets
from within the region affected by the crisis to get the latest updates of the
status of ... | computer science |
34,136 | ARSENAL: Automatic Requirements Specification Extraction from Natural
Language | cs.CL | Requirements are informal and semi-formal descriptions of the expected
behavior of a complex system from the viewpoints of its stakeholders
(customers, users, operators, designers, and engineers). However, for the
purpose of design, testing, and verification for critical systems, we can
transform requirements into form... | computer science |
34,137 | Sentiment Analysis by Using Fuzzy Logic | cs.IR | How could a product or service is reasonably evaluated by anyone in the
shortest time? A million dollar question but it is having a simple answer:
Sentiment analysis. Sentiment analysis is consumers review on products and
services which helps both the producers and consumers (stakeholders) to take
effective and efficie... | computer science |
34,138 | Concept Based vs. Pseudo Relevance Feedback Performance Evaluation for
Information Retrieval System | cs.IR | This article evaluates the performance of two techniques for query
reformulation in a system for information retrieval, namely, the concept based
and the pseudo relevance feedback reformulation. The experiments performed on a
corpus of Arabic text have allowed us to compare the contribution of these two
reformulation t... | computer science |
34,139 | A Lemma Based Evaluator for Semitic Language Text Summarization Systems | cs.CL | Matching texts in highly inflected languages such as Arabic by simple
stemming strategy is unlikely to perform well. In this paper, we present a
strategy for automatic text matching technique for for inflectional languages,
using Arabic as the test case. The system is an extension of ROUGE test in
which texts are match... | computer science |
34,140 | Exemplar Dynamics Models of the Stability of Phonological Categories | cs.CL | We develop a model for the stability and maintenance of phonological
categories. Examples of phonological categories are vowel sounds such as "i"
and "e". We model such categories as consisting of collections of labeled
exemplars that language users store in their memory. Each exemplar is a
detailed memory of an instan... | computer science |
34,141 | Design and Optimization of a Speech Recognition Front-End for
Distant-Talking Control of a Music Playback Device | cs.SD | This paper addresses the challenging scenario for the distant-talking control
of a music playback device, a common portable speaker with four small
loudspeakers in close proximity to one microphone. The user controls the device
through voice, where the speech-to-music ratio can be as low as -30 dB during
music playback... | computer science |
34,142 | DepecheMood: a Lexicon for Emotion Analysis from Crowd-Annotated News | cs.CL | While many lexica annotated with words polarity are available for sentiment
analysis, very few tackle the harder task of emotion analysis and are usually
quite limited in coverage. In this paper, we present a novel approach for
extracting - in a totally automated way - a high-coverage and high-precision
lexicon of roug... | computer science |
34,143 | Learning Alternative Name Spellings | cs.IR | Name matching is a key component of systems for entity resolution or record
linkage. Alternative spellings of the same names are a com- mon occurrence in
many applications. We use the largest collection of genealogy person records in
the world together with user search query logs to build name matching models.
The proc... | computer science |
34,144 | Sentiment Analysis: A Survey | cs.IR | Sentiment analysis (also known as opinion mining) refers to the use of
natural language processing, text analysis and computational linguistics to
identify and extract subjective information in source materials. Mining
opinions expressed in the user generated content is a challenging yet
practically very useful problem... | computer science |
34,145 | Fast and Fuzzy Private Set Intersection | cs.CR | Private Set Intersection (PSI) is usually implemented as a sequence of
encryption rounds between pairs of users, whereas the present work implements
PSI in a simpler fashion: each set only needs to be encrypted once, after which
each pair of users need only one ordinary set comparison. This is typically
orders of magni... | computer science |
34,146 | Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme
for Sentiment Analysis and Text Classification | cs.CL | We provide a simple but novel supervised weighting scheme for adjusting term
frequency in tf-idf for sentiment analysis and text classification. We compare
our method to baseline weighting schemes and find that it outperforms them on
multiple benchmarks. The method is robust and works well on both snippets and
longer d... | computer science |
34,147 | Complex Networks Measures for Differentiation between Normal and
Shuffled Croatian Texts | cs.CL | This paper studies the properties of the Croatian texts via complex networks.
We present network properties of normal and shuffled Croatian texts for
different shuffling principles: on the sentence level and on the text level. In
both experiments we preserved the vocabulary size, word and sentence frequency
distributio... | computer science |
34,148 | Fighting Authorship Linkability with Crowdsourcing | cs.DL | Massive amounts of contributed content -- including traditional literature,
blogs, music, videos, reviews and tweets -- are available on the Internet
today, with authors numbering in many millions. Textual information, such as
product or service reviews, is an important and increasingly popular type of
content that is ... | computer science |
34,149 | Learning to Exploit Different Translation Resources for Cross Language
Information Retrieval | cs.IR | One of the important factors that affects the performance of Cross Language
Information Retrieval(CLIR)is the quality of translations being employed in
CLIR. In order to improve the quality of translations, it is important to
exploit available resources efficiently. Employing different translation
resources with differ... | computer science |
34,150 | Inferring gender of a Twitter user using celebrities it follows | cs.IR | This paper addresses the task of user gender classification in social media,
with an application to Twitter. The approach automatically predicts gender by
leveraging observable information such as the tweet behavior, linguistic
content of the user's Twitter feed and the celebrities followed by the user.
This paper firs... | computer science |
34,151 | Hybrid Type-Logical Grammars, First-Order Linear Logic and the
Descriptive Inadequacy of Lambda Grammars | cs.LO | In this article we show that hybrid type-logical grammars are a fragment of
first-order linear logic. This embedding result has several important
consequences: it not only provides a simple new proof theory for the calculus,
thereby clarifying the proof-theoretic foundations of hybrid type-logical
grammars, but, since ... | computer science |
34,152 | Aspect Based Sentiment Analysis to Extract Meticulous Opinion Value | cs.IR | Opinion Mining and Sentiment Analysis is a process of identifying opinions in
large unstructured/structured data and then analysing polarity of those
opinions. Opinion mining and sentiment analysis have found vast application in
analysing online ratings, analysing product based reviews, e-governance, and
managing hosti... | computer science |
34,153 | Multi-layered graph-based multi-document summarization model | cs.IR | Multi-document summarization is a process of automatic generation of a
compressed version of the given collection of documents. Recently, the
graph-based models and ranking algorithms have been actively investigated by
the extractive document summarization community. While most work to date
focuses on homogeneous conne... | computer science |
34,154 | Text to Multi-level MindMaps: A Novel Method for Hierarchical Visual
Abstraction of Natural Language Text | cs.CL | MindMapping is a well-known technique used in note taking, which encourages
learning and studying. MindMapping has been manually adopted to help present
knowledge and concepts in a visual form. Unfortunately, there is no reliable
automated approach to generate MindMaps from Natural Language text. This work
firstly intr... | computer science |
34,155 | Optimizing Component Combination in a Multi-Indexing Paragraph Retrieval
System | cs.IR | We demonstrate a method to optimize the combination of distinct components in
a paragraph retrieval system. Our system makes use of several indices, query
generators and filters, each of them potentially contributing to the quality of
the returned list of results. The components are combined with a weighed sum,
and we ... | computer science |
34,156 | Internal and external dynamics in language: Evidence from verb
regularity in a historical corpus of English | cs.CL | Human languages are rule governed, but almost invariably these rules have
exceptions in the form of irregularities. Since rules in language are efficient
and productive, the persistence of irregularity is an anomaly. How does
irregularity linger in the face of internal (endogenous) and external
(exogenous) pressures to... | computer science |
34,157 | Opinion mining of movie reviews at document level | cs.IR | The whole world is changed rapidly and using the current technologies
Internet becomes an essential need for everyone. Web is used in every field.
Most of the people use web for a common purpose like online shopping, chatting
etc. During an online shopping large number of reviews/opinions are given by
the users that re... | computer science |
34,158 | Towards crowdsourcing and cooperation in linguistic resources | cs.SI | Linguistic resources can be populated with data through the use of such
approaches as crowdsourcing and gamification when motivated people are
involved. However, current crowdsourcing genre taxonomies lack the concept of
cooperation, which is the principal element of modern video games and may
potentially drive the ann... | computer science |
34,159 | Chatbot for admissions | cs.CY | The communication of potential students with a university department is
performed manually and it is a very time consuming procedure. The opportunity
to communicate with on a one-to-one basis is highly valued. However with many
hundreds of applications each year, one-to-one conversations are not feasible
in most cases.... | computer science |
34,160 | An Information Retrieval Approach to Short Text Conversation | cs.IR | Human computer conversation is regarded as one of the most difficult problems
in artificial intelligence. In this paper, we address one of its key
sub-problems, referred to as short text conversation, in which given a message
from human, the computer returns a reasonable response to the message. We
leverage the vast am... | computer science |
34,161 | Hierarchical Dirichlet process for tracking complex topical structure
evolution and its application to autism research literature | cs.IR | In this paper we describe a novel framework for the discovery of the topical
content of a data corpus, and the tracking of its complex structural changes
across the temporal dimension. In contrast to previous work our model does not
impose a prior on the rate at which documents are added to the corpus nor does
it adopt... | computer science |
34,162 | Improving Term Frequency Normalization for Multi-topical Documents, and
Application to Language Modeling Approaches | cs.IR | Term frequency normalization is a serious issue since lengths of documents
are various. Generally, documents become long due to two different reasons -
verbosity and multi-topicality. First, verbosity means that the same topic is
repeatedly mentioned by terms related to the topic, so that term frequency is
more increas... | computer science |
34,163 | Exploiting a comparability mapping to improve bi-lingual data
categorization: a three-mode data analysis perspective | cs.IR | We address in this paper the co-clustering and co-classification of bilingual
data laying in two linguistic similarity spaces when a comparability measure
defining a mapping between these two spaces is available. A new approach that
we can characterized as a three-mode analysis scheme, is proposed to mix the
comparabil... | computer science |
34,164 | The concept "altruism" for sociological research: from conceptualization
to operationalization | cs.CY | This article addresses the question of the relevant conceptualization of
{\guillemotleft}altruism{\guillemotright} in Russian from the perspective
sociological research operationalization. It investigates the spheres of social
application of the word {\guillemotleft}altruism{\guillemotright}, include
Russian equivalent... | computer science |
34,165 | Visualization of Clandestine Labs from Seizure Reports: Thematic Mapping
and Data Mining Research Directions | cs.IR | The problem of spatiotemporal event visualization based on reports entails
subtasks ranging from named entity recognition to relationship extraction and
mapping of events. We present an approach to event extraction that is driven by
data mining and visualization goals, particularly thematic mapping and trend
analysis. ... | computer science |
34,166 | Short Text Hashing Improved by Integrating Multi-Granularity Topics and
Tags | cs.IR | Due to computational and storage efficiencies of compact binary codes,
hashing has been widely used for large-scale similarity search. Unfortunately,
many existing hashing methods based on observed keyword features are not
effective for short texts due to the sparseness and shortness. Recently, some
researchers try to ... | computer science |
34,167 | The YLI-MED Corpus: Characteristics, Procedures, and Plans | cs.MM | The YLI Multimedia Event Detection corpus is a public-domain index of videos
with annotations and computed features, specialized for research in multimedia
event detection (MED), i.e., automatically identifying what's happening in a
video by analyzing the audio and visual content. The videos indexed in the
YLI-MED corp... | computer science |
34,168 | Text Segmentation based on Semantic Word Embeddings | cs.CL | We explore the use of semantic word embeddings in text segmentation
algorithms, including the C99 segmentation algorithm and new algorithms
inspired by the distributed word vector representation. By developing a general
framework for discussing a class of segmentation objectives, we study the
effectiveness of greedy ve... | computer science |
34,169 | Measuring Software Quality in Use: State-of-the-Art and Research
Challenges | cs.SE | Software quality in use comprises quality from the user's perspective. It has
gained its importance in e-government applications, mobile-based applications,
embedded systems, and even business process development. User's decisions on
software acquisitions are often ad hoc or based on preference due to difficulty
in qua... | computer science |
34,170 | Breaking the News: First Impressions Matter on Online News | cs.CY | A growing number of people are changing the way they consume news, replacing
the traditional physical newspapers and magazines by their virtual online
versions or/and weblogs. The interactivity and immediacy present in online news
are changing the way news are being produced and exposed by media corporations.
News webs... | computer science |
34,171 | Domain Adaptation for Named Entity Recognition in Online Media with Word
Embeddings | cs.CL | Content on the Internet is heterogeneous and arises from various domains like
News, Entertainment, Finance and Technology. Understanding such content
requires identifying named entities (persons, places and organizations) as one
of the key steps. Traditionally Named Entity Recognition (NER) systems have
been built usin... | computer science |
34,172 | We used Neural Networks to Detect Clickbaits: You won't believe what
happened Next! | cs.CL | Online content publishers often use catchy headlines for their articles in
order to attract users to their websites. These headlines, popularly known as
clickbaits, exploit a user's curiosity gap and lure them to click on links that
often disappoint them. Existing methods for automatically detecting clickbaits
rely on ... | computer science |
34,173 | A natural language interface to a graph-based bibliographic information
retrieval system | cs.IR | With the ever-increasing scientific literature, there is a need on a natural
language interface to bibliographic information retrieval systems to retrieve
related information effectively. In this paper, we propose a natural language
interface, NLI-GIBIR, to a graph-based bibliographic information retrieval
system. In d... | computer science |
34,174 | Data Curation APIs | cs.IR | Understanding and analyzing big data is firmly recognized as a powerful and
strategic priority. For deeper interpretation of and better intelligence with
big data, it is important to transform raw data (unstructured, semi-structured
and structured data sources, e.g., text, video, image data sets) into curated
data: con... | computer science |
34,175 | Search Personalization with Embeddings | cs.IR | Recent research has shown that the performance of search personalization
depends on the richness of user profiles which normally represent the user's
topical interests. In this paper, we propose a new embedding approach to
learning user profiles, where users are embedded on a topical interest space.
We then directly ut... | computer science |
34,176 | Recurrent Deep Stacking Networks for Speech Recognition | cs.CL | This paper presented our work on applying Recurrent Deep Stacking Networks
(RDSNs) to Robust Automatic Speech Recognition (ASR) tasks. In the paper, we
also proposed a more efficient yet comparable substitute to RDSN, Bi- Pass
Stacking Network (BPSN). The main idea of these two models is to add
phoneme-level informatio... | computer science |
34,177 | A deep learning approach for predicting the quality of online health
expert question-answering services | cs.IR | Currently, a growing number of health consumers are asking health-related
questions online, at any time and from anywhere, which effectively lowers the
cost of health care. The most common approach is using online health expert
question-answering (HQA) services, as health consumers are more willing to
trust answers fro... | computer science |
34,178 | JU_KS_Group@FIRE 2016: Consumer Health Information Search | cs.IR | In this paper, we describe the methodology used and the results obtained by
us for completing the tasks given under the shared task on Consumer Health
Information Search (CHIS) collocated with the Forum for Information Retrieval
Evaluation (FIRE) 2016, ISI Kolkata. The shared task consists of two sub-tasks
- (1) task1:... | computer science |
34,179 | Predicting the Industry of Users on Social Media | cs.CL | Automatic profiling of social media users is an important task for supporting
a multitude of downstream applications. While a number of studies have used
social media content to extract and study collective social attributes, there
is a lack of substantial research that addresses the detection of a user's
industry. We ... | computer science |
34,180 | Classifying Patents Based on their Semantic Content | cs.CL | In this paper, we extend some usual techniques of classification resulting
from a large-scale data-mining and network approach. This new technology, which
in particular is designed to be suitable to big data, is used to construct an
open consolidated database from raw data on 4 million patents taken from the US
patent ... | computer science |
34,181 | Verifying Heaps' law using Google Books Ngram data | cs.CL | This article is devoted to the verification of the empirical Heaps law in
European languages using Google Books Ngram corpus data. The connection between
word distribution frequency and expected dependence of individual word number
on text size is analysed in terms of a simple probability model of text
generation. It i... | computer science |
34,182 | PAMPO: using pattern matching and pos-tagging for effective Named
Entities recognition in Portuguese | cs.IR | This paper deals with the entity extraction task (named entity recognition)
of a text mining process that aims at unveiling non-trivial semantic
structures, such as relationships and interaction between entities or
communities. In this paper we present a simple and efficient named entity
extraction algorithm. The metho... | computer science |
34,183 | An Automated Evaluation Metric for Chinese Text Entry | cs.HC | In this paper, we propose an automated evaluation metric for text entry. We
also consider possible improvements to existing text entry evaluation metrics,
such as the minimum string distance error rate, keystrokes per character, cost
per correction, and a unified approach proposed by MacKenzie, so they can
accommodate ... | computer science |
34,184 | On the Development of Text Input Method - Lessons Learned | cs.CL | Intelligent Input Methods (IM) are essential for making text entries in many
East Asian scripts, but their application to other languages has not been fully
explored. This paper discusses how such tools can contribute to the development
of computer processing of other oriental languages. We propose a design
philosophy ... | computer science |
34,185 | Analytical approach to bit-string models of language evolution | cs.CL | A formulation of bit-string models of language evolution, based on
differential equations for the population speaking each language, is introduced
and preliminarily studied. Connections with replicator dynamics and diffusion
processes are pointed out. The stability of the dominance state, where most of
the population s... | computer science |
34,186 | Plagiarism Detection using ROUGE and WordNet | cs.OH | With the arrival of digital era and Internet, the lack of information control
provides an incentive for people to freely use any content available to them.
Plagiarism occurs when users fail to credit the original owner for the content
referred to, and such behavior leads to violation of intellectual property. Two
main ... | computer science |
34,187 | Linguistic complexity: English vs. Polish, text vs. corpus | cs.CL | We analyze the rank-frequency distributions of words in selected English and
Polish texts. We show that for the lemmatized (basic) word forms the
scale-invariant regime breaks after about two decades, while it might be
consistent for the whole range of ranks for the inflected word forms. We also
find that for a corpus ... | computer science |
34,188 | Inflection system of a language as a complex network | cs.CL | We investigate inflection structure of a synthetic language using Latin as an
example. We construct a bipartite graph in which one group of vertices
correspond to dictionary headwords and the other group to inflected forms
encountered in a given text. Each inflected form is connected to its
corresponding headword, whic... | computer science |
34,189 | Detecting influenza outbreaks by analyzing Twitter messages | cs.IR | We analyze over 500 million Twitter messages from an eight month period and
find that tracking a small number of flu-related keywords allows us to forecast
future influenza rates with high accuracy, obtaining a 95% correlation with
national health statistics. We then analyze the robustness of this approach to
spurious ... | computer science |
34,190 | Space and the Synchronic A-Ram | cs.CL | Space is a circuit oriented, spatial programming language designed to exploit
the massive parallelism available in a novel formal model of computation called
the Synchronic A-Ram, and physically related FPGA and reconfigurable
architectures. Space expresses variable grained MIMD parallelism, is modular,
strictly typed,... | computer science |
34,191 | Lexical Co-occurrence, Statistical Significance, and Word Association | cs.CL | Lexical co-occurrence is an important cue for detecting word associations. We
present a theoretical framework for discovering statistically significant
lexical co-occurrences from a given corpus. In contrast with the prevalent
practice of giving weightage to unigram frequencies, we focus only on the
documents containin... | computer science |
34,192 | Genetic Optimization of Keywords Subset in the Classification Analysis
of Texts Authorship | cs.IR | The genetic selection of keywords set, the text frequencies of which are
considered as attributes in text classification analysis, has been analyzed.
The genetic optimization was performed on a set of words, which is the fraction
of the frequency dictionary with given frequency limits. The frequency
dictionary was form... | computer science |
34,193 | Summarizing Reviews with Variable-length Syntactic Patterns and Topic
Models | cs.IR | We present a novel summarization framework for reviews of products and
services by selecting informative and concise text segments from the reviews.
Our method consists of two major steps. First, we identify five frequently
occurring variable-length syntactic patterns and use them to extract candidate
segments. Then we... | computer science |
34,194 | Opinion Mining and Analysis: A survey | cs.CL | The current research is focusing on the area of Opinion Mining also called as
sentiment analysis due to sheer volume of opinion rich web resources such as
discussion forums, review sites and blogs are available in digital form. One
important problem in sentiment analysis of product reviews is to produce
summary of opin... | computer science |
34,195 | Says who? Automatic Text-Based Content Analysis of Television News | cs.CL | We perform an automatic analysis of television news programs, based on the
closed captions that accompany them. Specifically, we collect all the news
broadcasted in over 140 television channels in the US during a period of six
months. We start by segmenting, processing, and annotating the closed captions
automatically.... | computer science |
34,196 | Graphical law beneath each written natural language | cs.CL | We study twenty four written natural languages. We draw in the log scale,
number of words starting with a letter vs rank of the letter, both normalised.
We find that all the graphs are of the similar type. The graphs are
tantalisingly closer to the curves of reduced magnetisation vs reduced
temperature for magnetic mat... | computer science |
34,197 | A Novel Architecture For Question Classification Based Indexing Scheme
For Efficient Question Answering | cs.IR | Question answering system can be seen as the next step in information
retrieval, allowing users to pose question in natural language and receive
compact answers. For the Question answering system to be successful, research
has shown that the correct classification of question with respect to the
expected answer type is... | computer science |
34,198 | Extracting Connected Concepts from Biomedical Texts using Fog Index | cs.CL | In this paper, we establish Fog Index (FI) as a text filter to locate the
sentences in texts that contain connected biomedical concepts of interest. To
do so, we have used 24 random papers each containing four pairs of connected
concepts. For each pair, we categorize sentences based on whether they contain
both, any or... | computer science |
34,199 | Extracting Information-rich Part of Texts using Text Denoising | cs.IR | The aim of this paper is to report on a novel text reduction technique,
called Text Denoising, that highlights information-rich content when processing
a large volume of text data, especially from the biomedical domain. The core
feature of the technique, the text readability index, embodies the hypothesis
that complex ... | computer science |
34,200 | A Novel Architecture for Relevant Blog Page Identifcation | cs.IR | Blogs are undoubtedly the richest source of information available in
cyberspace. Blogs can be of various natures i.e. personal blogs which contain
posts on mixed issues or blogs can be domain specific which contains posts on
particular topics, this is the reason, they offer wide variety of relevant
information which is... | computer science |
34,201 | Cross-Recurrence Quantification Analysis of Categorical and Continuous
Time Series: an R package | cs.CL | This paper describes the R package crqa to perform cross-recurrence
quantification analysis of two time series of either a categorical or
continuous nature. Streams of behavioral information, from eye movements to
linguistic elements, unfold over time. When two people interact, such as in
conversation, they often adapt... | computer science |
34,202 | Treating clitics with minimalist grammars | cs.CL | We propose an extension of Stabler's version of clitics treatment for a wider
coverage of the French language. For this, we present the lexical entries
needed in the lexicon. Then, we show the recognition of complex syntactic
phenomena as (left and right) dislo- cation, clitic climbing over modal and
extraction from de... | computer science |
34,203 | Improving the methods of email classification based on words ontology | cs.IR | The Internet has dramatically changed the relationship among people and their
relationships with others people and made the valuable information available
for the users. Email is the service, which the Internet provides today for its
own users; this service has attracted most of the users' attention due to the
low cost... | computer science |
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