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38,310 | Modeling Rich Contexts for Sentiment Classification with LSTM | cs.CL | Sentiment analysis on social media data such as tweets and weibo has become a
very important and challenging task. Due to the intrinsic properties of such
data, tweets are short, noisy, and of divergent topics, and sentiment
classification on these data requires to modeling various contexts such as the
retweet/reply hi... | computer science |
38,311 | User Reviews and Language: How Language Influences Ratings | cs.HC | The number of user reviews of tourist attractions, restaurants, mobile apps,
etc. is increasing for all languages; yet, research is lacking on how reviews
in multiple languages should be aggregated and displayed. Speakers of different
languages may have consistently different experiences, e.g., different
information av... | computer science |
38,312 | A Corpus-based Toy Model for DisCoCat | cs.CL | The categorical compositional distributional (DisCoCat) model of meaning
rigorously connects distributional semantics and pregroup grammars, and has
found a variety of applications in computational linguistics. From a more
abstract standpoint, the DisCoCat paradigm predicates the construction of a
mapping from syntax t... | computer science |
38,313 | Relation Schema Induction using Tensor Factorization with Side
Information | cs.IR | Given a set of documents from a specific domain (e.g., medical research
journals), how do we automatically build a Knowledge Graph (KG) for that
domain? Automatic identification of relations and their schemas, i.e., type
signature of arguments of relations (e.g., undergo(Patient, Surgery)), is an
important first step t... | computer science |
38,314 | Large-scale Analysis of Counseling Conversations: An Application of
Natural Language Processing to Mental Health | cs.CL | Mental illness is one of the most pressing public health issues of our time.
While counseling and psychotherapy can be effective treatments, our knowledge
about how to conduct successful counseling conversations has been limited due
to lack of large-scale data with labeled outcomes of the conversations. In this
paper, ... | computer science |
38,315 | A Semi-automatic Method for Efficient Detection of Stories on Social
Media | cs.SI | Twitter has become one of the main sources of news for many people. As
real-world events and emergencies unfold, Twitter is abuzz with hundreds of
thousands of stories about the events. Some of these stories are harmless,
while others could potentially be life-saving or sources of malicious rumors.
Thus, it is critical... | computer science |
38,316 | Automatic Detection and Categorization of Election-Related Tweets | cs.CL | With the rise in popularity of public social media and micro-blogging
services, most notably Twitter, the people have found a venue to hear and be
heard by their peers without an intermediary. As a consequence, and aided by
the public nature of Twitter, political scientists now potentially have the
means to analyse and... | computer science |
38,317 | Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of
Crisis-related Messages | cs.CL | Microblogging platforms such as Twitter provide active communication channels
during mass convergence and emergency events such as earthquakes, typhoons.
During the sudden onset of a crisis situation, affected people post useful
information on Twitter that can be used for situational awareness and other
humanitarian di... | computer science |
38,318 | Local communities obstruct global consensus: Naming game on
multi-local-world networks | cs.SI | Community structure is essential for social communications, where individuals
belonging to the same community are much more actively interacting and
communicating with each other than those in different communities within the
human society. Naming game, on the other hand, is a social communication model
that simulates ... | computer science |
38,319 | On model architecture for a children's speech recognition interactive
dialog system | cs.HC | This report presents a general model of the architecture of information
systems for the speech recognition of children. It presents a model of the
speech data stream and how it works. The result of these studies and presented
veins architectural model shows that research needs to be focused on
acoustic-phonetic modelin... | computer science |
38,320 | Design and development a children's speech database | cs.CL | The report presents the process of planning, designing and the development of
a database of spoken children's speech whose native language is Bulgarian. The
proposed model is designed for children between the age of 4 and 6 without
speech disorders, and reflects their specific capabilities. At this age most
children ca... | computer science |
38,321 | On a Possible Similarity between Gene and Semantic Networks | cs.CL | In several domains such as linguistics, molecular biology or social sciences,
holistic effects are hardly well-defined by modeling with single units, but
more and more studies tend to understand macro structures with the help of
meaningful and useful associations in fields such as social networks, systems
biology or se... | computer science |
38,322 | Learning Stylometric Representations for Authorship Analysis | cs.CL | Authorship analysis (AA) is the study of unveiling the hidden properties of
authors from a body of exponentially exploding textual data. It extracts an
author's identity and sociolinguistic characteristics based on the reflected
writing styles in the text. It is an essential process for various areas, such
as cybercrim... | computer science |
38,323 | On the Place of Text Data in Lifelogs, and Text Analysis via Semantic
Facets | cs.CL | Current research in lifelog data has not paid enough attention to analysis of
cognitive activities in comparison to physical activities. We argue that as we
look into the future, wearable devices are going to be cheaper and more
prevalent and textual data will play a more significant role. Data captured by
lifelogging ... | computer science |
38,324 | Automatic Genre and Show Identification of Broadcast Media | cs.MM | Huge amounts of digital videos are being produced and broadcast every day,
leading to giant media archives. Effective techniques are needed to make such
data accessible further. Automatic meta-data labelling of broadcast media is an
essential task for multimedia indexing, where it is standard to use multi-modal
input f... | computer science |
38,325 | Graph-Community Detection for Cross-Document Topic Segment Relationship
Identification | cs.CL | In this paper we propose a graph-community detection approach to identify
cross-document relationships at the topic segment level. Given a set of related
documents, we automatically find these relationships by clustering segments
with similar content (topics). In this context, we study how different
weighting mechanism... | computer science |
38,326 | Personality Traits and Echo Chambers on Facebook | cs.SI | In online social networks, users tend to select information that adhere to
their system of beliefs and to form polarized groups of like minded people.
Polarization as well as its effects on online social interactions have been
extensively investigated. Still, the relation between group formation and
personality traits ... | computer science |
38,327 | Comparing the hierarchy of keywords in on-line news portals | cs.CL | The tagging of on-line content with informative keywords is a widespread
phenomenon from scientific article repositories through blogs to on-line news
portals. In most of the cases, the tags on a given item are free words chosen
by the authors independently. Therefore, relations among keywords in a
collection of news i... | computer science |
38,328 | Divergent discourse between protests and counter-protests:
#BlackLivesMatter and #AllLivesMatter | cs.CL | Since the shooting of Black teenager Michael Brown by White police officer
Darren Wilson in Ferguson, Missouri, the protest hashtag #BlackLivesMatter has
amplified critiques of extrajudicial killings of Black Americans. In response
to #BlackLivesMatter, other Twitter users have adopted #AllLivesMatter, a
counter-protes... | computer science |
38,329 | Gender and Interest Targeting for Sponsored Post Advertising at Tumblr | cs.CL | As one of the leading platforms for creative content, Tumblr offers
advertisers a unique way of creating brand identity. Advertisers can tell their
story through images, animation, text, music, video, and more, and promote that
content by sponsoring it to appear as an advertisement in the streams of Tumblr
users. In th... | computer science |
38,330 | Penambahan emosi menggunakan metode manipulasi prosodi untuk sistem text
to speech bahasa Indonesia | cs.SD | Adding an emotions using prosody manipulation method for Indonesian text to
speech system. Text To Speech (TTS) is a system that can convert text in one
language into speech, accordance with the reading of the text in the language
used. The focus of this research is a natural sounding concept, the make
"humanize" for t... | computer science |
38,331 | SentiBubbles: Topic Modeling and Sentiment Visualization of
Entity-centric Tweets | cs.SI | Social Media users tend to mention entities when reacting to news events. The
main purpose of this work is to create entity-centric aggregations of tweets on
a daily basis. By applying topic modeling and sentiment analysis, we create
data visualization insights about current events and people reactions to those
events ... | computer science |
38,332 | A Comprehensive Survey on Cross-modal Retrieval | cs.MM | In recent years, cross-modal retrieval has drawn much attention due to the
rapid growth of multimodal data. It takes one type of data as the query to
retrieve relevant data of another type. For example, a user can use a text to
retrieve relevant pictures or videos. Since the query and its retrieved results
can be of di... | computer science |
38,333 | Continuation semantics for multi-quantifier sentences: operation-based
approaches | math.LO | Classical scope-assignment strategies for multi-quantifier sentences involve
quantifier phrase (QP)-movement. More recent continuation-based approaches
provide a compelling alternative, for they interpret QP's in situ - without
resorting to Logical Forms or any structures beyond the overt syntax. The
continuation-based... | computer science |
38,334 | Dual Density Operators and Natural Language Meaning | cs.CL | Density operators allow for representing ambiguity about a vector
representation, both in quantum theory and in distributional natural language
meaning. Formally equivalently, they allow for discarding part of the
description of a composite system, where we consider the discarded part to be
the context. We introduce du... | computer science |
38,335 | Cohesion and Coalition Formation in the European Parliament: Roll-Call
Votes and Twitter Activities | cs.CL | We study the cohesion within and the coalitions between political groups in
the Eighth European Parliament (2014--2019) by analyzing two entirely different
aspects of the behavior of the Members of the European Parliament (MEPs) in the
policy-making processes. On one hand, we analyze their co-voting patterns and,
on th... | computer science |
38,336 | Quantitative Analyses of Chinese Poetry of Tang and Song Dynasties:
Using Changing Colors and Innovative Terms as Examples | cs.CL | Tang (618-907 AD) and Song (960-1279) dynasties are two very important
periods in the development of Chinese literary. The most influential forms of
the poetry in Tang and Song were Shi and Ci, respectively. Tang Shi and Song Ci
established crucial foundations of the Chinese literature, and their influences
in both lit... | computer science |
38,337 | Dynamic Allocation of Crowd Contributions for Sentiment Analysis during
the 2016 U.S. Presidential Election | cs.HC | Opinions about the 2016 U.S. Presidential Candidates have been expressed in
millions of tweets that are challenging to analyze automatically. Crowdsourcing
the analysis of political tweets effectively is also difficult, due to large
inter-rater disagreements when sarcasm is involved. Each tweet is typically
analyzed by... | computer science |
38,338 | On Horizontal and Vertical Separation in Hierarchical Text
Classification | cs.IR | Hierarchy is a common and effective way of organizing data and representing
their relationships at different levels of abstraction. However, hierarchical
data dependencies cause difficulties in the estimation of "separable" models
that can distinguish between the entities in the hierarchy. Extracting
separable models o... | computer science |
38,339 | Using Gaussian Processes for Rumour Stance Classification in Social
Media | cs.CL | Social media tend to be rife with rumours while new reports are released
piecemeal during breaking news. Interestingly, one can mine multiple reactions
expressed by social media users in those situations, exploring their stance
towards rumours, ultimately enabling the flagging of highly disputed rumours as
being potent... | computer science |
38,340 | The Social Dynamics of Language Change in Online Networks | cs.CL | Language change is a complex social phenomenon, revealing pathways of
communication and sociocultural influence. But, while language change has long
been a topic of study in sociolinguistics, traditional linguistic research
methods rely on circumstantial evidence, estimating the direction of change
from differences bet... | computer science |
38,341 | Twitter-Network Topic Model: A Full Bayesian Treatment for Social
Network and Text Modeling | cs.CL | Twitter data is extremely noisy -- each tweet is short, unstructured and with
informal language, a challenge for current topic modeling. On the other hand,
tweets are accompanied by extra information such as authorship, hashtags and
the user-follower network. Exploiting this additional information, we propose
the Twitt... | computer science |
38,342 | Text Network Exploration via Heterogeneous Web of Topics | cs.SI | A text network refers to a data type that each vertex is associated with a
text document and the relationship between documents is represented by edges.
The proliferation of text networks such as hyperlinked webpages and academic
citation networks has led to an increasing demand for quickly developing a
general sense o... | computer science |
38,343 | Civique: Using Social Media to Detect Urban Emergencies | cs.CL | We present the Civique system for emergency detection in urban areas by
monitoring micro blogs like Tweets. The system detects emergency related
events, and classifies them into appropriate categories like "fire",
"accident", "earthquake", etc. We demonstrate our ideas by classifying Twitter
posts in real time, visuali... | computer science |
38,344 | A Bayesian Approach to Estimation of Speaker Normalization Parameters | cs.SD | In this work, a Bayesian approach to speaker normalization is proposed to
compensate for the degradation in performance of a speaker independent speech
recognition system. The speaker normalization method proposed herein uses the
technique of vocal tract length normalization (VTLN). The VTLN parameters are
estimated us... | computer science |
38,345 | Learning Reporting Dynamics during Breaking News for Rumour Detection in
Social Media | cs.CL | Breaking news leads to situations of fast-paced reporting in social media,
producing all kinds of updates related to news stories, albeit with the caveat
that some of those early updates tend to be rumours, i.e., information with an
unverified status at the time of posting. Flagging information that is
unverified can b... | computer science |
38,346 | Word Embeddings to Enhance Twitter Gang Member Profile Identification | cs.SI | Gang affiliates have joined the masses who use social media to share thoughts
and actions publicly. Interestingly, they use this public medium to express
recent illegal actions, to intimidate others, and to share outrageous images
and statements. Agencies able to unearth these profiles may thus be able to
anticipate, s... | computer science |
38,347 | Sentiment Analysis of Twitter Data for Predicting Stock Market Movements | cs.IR | Predicting stock market movements is a well-known problem of interest.
Now-a-days social media is perfectly representing the public sentiment and
opinion about current events. Especially, twitter has attracted a lot of
attention from researchers for studying the public sentiments. Stock market
prediction on the basis o... | computer science |
38,348 | Finding Street Gang Members on Twitter | cs.SI | Most street gang members use Twitter to intimidate others, to present
outrageous images and statements to the world, and to share recent illegal
activities. Their tweets may thus be useful to law enforcement agencies to
discover clues about recent crimes or to anticipate ones that may occur.
Finding these posts, howeve... | computer science |
38,349 | And the Winner is ...: Bayesian Twitter-based Prediction on 2016 U.S.
Presidential Election | cs.IR | This paper describes a Naive-Bayesian predictive model for 2016 U.S.
Presidential Election based on Twitter data. We use 33,708 tweets gathered
since December 16, 2015 until February 29, 2016. We introduce a simpler data
preprocessing method to label the data and train the model. The model achieves
95.8% accuracy on 10... | computer science |
38,350 | Balotage in Argentina 2015, a sentiment analysis of tweets | cs.IR | Twitter social network contains a large amount of information generated by
its users. That information is composed of opinions and comments that may
reflect trends in social behavior. There is talk of trend when it is possible
to identify opinions and comments geared towards the same shared by a lot of
people direction... | computer science |
38,351 | 1.5 billion words Arabic Corpus | cs.CL | This study is an attempt to build a contemporary linguistic corpus for Arabic
language. The corpus produced, is a text corpus includes more than five million
newspaper articles. It contains over a billion and a half words in total, out
of which, there is about three million unique words. The data were collected
from ne... | computer science |
38,352 | Spotting Rumors via Novelty Detection | cs.SI | Rumour detection is hard because the most accurate systems operate
retrospectively, only recognizing rumours once they have collected repeated
signals. By then the rumours might have already spread and caused harm. We
introduce a new category of features based on novelty, tailored to detect
rumours early on. To compens... | computer science |
38,353 | Gendered Conversation in a Social Game-Streaming Platform | cs.SI | Online social media and games are increasingly replacing offline social
activities. Social media is now an indispensable mode of communication; online
gaming is not only a genuine social activity but also a popular spectator
sport. With support for anonymity and larger audiences, online interaction
shrinks social and g... | computer science |
38,354 | A Natural Language Query Interface for Searching Personal Information on
Smartwatches | cs.HC | Currently, personal assistant systems, run on smartphones and use natural
language interfaces. However, these systems rely mostly on the web for finding
information. Mobile and wearable devices can collect an enormous amount of
contextual personal data such as sleep and physical activities. These
information objects an... | computer science |
38,355 | Integrating sentiment and social structure to determine preference
alignments: The Irish Marriage Referendum | cs.SI | We examine the relationship between social structure and sentiment through
the analysis of a large collection of tweets about the Irish Marriage
Referendum of 2015. We obtain the sentiment of every tweet with the hashtags
#marref and #marriageref that was posted in the days leading to the referendum,
and construct netw... | computer science |
38,356 | Ambiguity and Incomplete Information in Categorical Models of Language | cs.LO | We investigate notions of ambiguity and partial information in categorical
distributional models of natural language. Probabilistic ambiguity has
previously been studied using Selinger's CPM construction. This construction
works well for models built upon vector spaces, as has been shown in quantum
computational applic... | computer science |
38,357 | Efficient Twitter Sentiment Classification using Subjective Distant
Supervision | cs.SI | As microblogging services like Twitter are becoming more and more influential
in today's globalised world, its facets like sentiment analysis are being
extensively studied. We are no longer constrained by our own opinion. Others
opinions and sentiments play a huge role in shaping our perspective. In this
paper, we buil... | computer science |
38,358 | RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain
Dialog Systems | cs.CL | Open-domain human-computer conversation has been attracting increasing
attention over the past few years. However, there does not exist a standard
automatic evaluation metric for open-domain dialog systems; researchers usually
resort to human annotation for model evaluation, which is time- and
labor-intensive. In this ... | computer science |
38,359 | Feature Studies to Inform the Classification of Depressive Symptoms from
Twitter Data for Population Health | cs.IR | The utility of Twitter data as a medium to support population-level mental
health monitoring is not well understood. In an effort to better understand the
predictive power of supervised machine learning classifiers and the influence
of feature sets for efficiently classifying depression-related tweets on a
large-scale,... | computer science |
38,360 | Foreign-language Reviews: Help or Hindrance? | cs.HC | The number and quality of user reviews greatly affects consumer purchasing
decisions. While reviews in all languages are increasing, it is still often the
case (especially for non-English speakers) that there are only a few reviews in
a person's first language. Using an online experiment, we examine the value
that pote... | computer science |
38,361 | Multi-level computational methods for interdisciplinary research in the
HathiTrust Digital Library | cs.DL | We show how faceted search using a combination of traditional classification
systems and mixed-membership topic models can go beyond keyword search to
inform resource discovery, hypothesis formulation, and argument extraction for
interdisciplinary research. Our test domain is the history and philosophy of
scientific wo... | computer science |
38,362 | Name Disambiguation in Anonymized Graphs using Network Embedding | cs.SI | In real-world, our DNA is unique but many people share names. This phenomenon
often causes erroneous aggregation of documents of multiple persons who are
namesake of one another. Such mistakes deteriorate the performance of document
retrieval, web search, and more seriously, cause improper attribution of credit
or blam... | computer science |
38,363 | Efficient Social Network Multilingual Classification using Character,
POS n-grams and Dynamic Normalization | cs.IR | In this paper we describe a dynamic normalization process applied to social
network multilingual documents (Facebook and Twitter) to improve the
performance of the Author profiling task for short texts. After the
normalization process, $n$-grams of characters and n-grams of POS tags are
obtained to extract all the poss... | computer science |
38,364 | Discussion quality diffuses in the digital public square | cs.CY | Studies of online social influence have demonstrated that friends have
important effects on many types of behavior in a wide variety of settings.
However, we know much less about how influence works among relative strangers
in digital public squares, despite important conversations happening in such
spaces. We present ... | computer science |
38,365 | Dialectometric analysis of language variation in Twitter | cs.CL | In the last few years, microblogging platforms such as Twitter have given
rise to a deluge of textual data that can be used for the analysis of informal
communication between millions of individuals. In this work, we propose an
information-theoretic approach to geographic language variation using a corpus
based on Twit... | computer science |
38,366 | Triaging Content Severity in Online Mental Health Forums | cs.CL | Mental health forums are online communities where people express their issues
and seek help from moderators and other users. In such forums, there are often
posts with severe content indicating that the user is in acute distress and
there is a risk of attempted self-harm. Moderators need to respond to these
severe post... | computer science |
38,367 | SceneSeer: 3D Scene Design with Natural Language | cs.GR | Designing 3D scenes is currently a creative task that requires significant
expertise and effort in using complex 3D design interfaces. This effortful
design process starts in stark contrast to the easiness with which people can
use language to describe real and imaginary environments. We present SceneSeer:
an interacti... | computer science |
38,368 | NetSpam: a Network-based Spam Detection Framework for Reviews in Online
Social Media | cs.SI | Nowadays, a big part of people rely on available content in social media in
their decisions (e.g. reviews and feedback on a topic or product). The
possibility that anybody can leave a review provide a golden opportunity for
spammers to write spam reviews about products and services for different
interests. Identifying ... | computer science |
38,369 | Global Entity Ranking Across Multiple Languages | cs.IR | We present work on building a global long-tailed ranking of entities across
multiple languages using Wikipedia and Freebase knowledge bases. We identify
multiple features and build a model to rank entities using a ground-truth
dataset of more than 10 thousand labels. The final system ranks 27 million
entities with 75% ... | computer science |
38,370 | Are crossing dependencies really scarce? | cs.CL | The syntactic structure of a sentence can be modelled as a tree, where
vertices correspond to words and edges indicate syntactic dependencies. It has
been claimed recurrently that the number of edge crossings in real sentences is
small. However, a baseline or null hypothesis has been lacking. Here we
quantify the amoun... | computer science |
38,371 | Developpement de Methodes Automatiques pour la Reutilisation des
Composants Logiciels | cs.SE | The large amount of information and the increasing complexity of applications
constrain developers to have stand-alone and reusable components from libraries
and component markets.Our approach consists in developing methods to evaluate
the quality of the software component of these libraries, on the one hand and
moreov... | computer science |
38,372 | Linguistic Matrix Theory | cs.CL | Recent research in computational linguistics has developed algorithms which
associate matrices with adjectives and verbs, based on the distribution of
words in a corpus of text. These matrices are linear operators on a vector
space of context words. They are used to construct the meaning of composite
expressions from t... | computer science |
38,373 | Finding News Citations for Wikipedia | cs.IR | An important editing policy in Wikipedia is to provide citations for added
statements in Wikipedia pages, where statements can be arbitrary pieces of
text, ranging from a sentence to a paragraph. In many cases citations are
either outdated or missing altogether.
In this work we address the problem of finding and upda... | computer science |
38,374 | Automated News Suggestions for Populating Wikipedia Entity Pages | cs.IR | Wikipedia entity pages are a valuable source of information for direct
consumption and for knowledge-base construction, update and maintenance. Facts
in these entity pages are typically supported by references. Recent studies
show that as much as 20\% of the references are from online news sources.
However, many entity... | computer science |
38,375 | Psychological and Personality Profiles of Political Extremists | cs.CL | Global recruitment into radical Islamic movements has spurred renewed
interest in the appeal of political extremism. Is the appeal a rational
response to material conditions or is it the expression of psychological and
personality disorders associated with aggressive behavior, intolerance,
conspiratorial imagination, a... | computer science |
38,376 | Detection and Resolution of Rumours in Social Media: A Survey | cs.CL | Despite the increasing use of social media platforms for information and news
gathering, its unmoderated nature often leads to the emergence and spread of
rumours, i.e. pieces of information that are unverified at the time of posting.
At the same time, the openness of social media platforms provides opportunities
to st... | computer science |
38,377 | A Syntactic Neural Model for General-Purpose Code Generation | cs.CL | We consider the problem of parsing natural language descriptions into source
code written in a general-purpose programming language like Python. Existing
data-driven methods treat this problem as a language generation task without
considering the underlying syntax of the target programming language. Informed
by previou... | computer science |
38,378 | Mining Worse and Better Opinions. Unsupervised and Agnostic Aggregation
of Online Reviews | cs.SI | In this paper, we propose a novel approach for aggregating online reviews,
according to the opinions they express. Our methodology is unsupervised - due
to the fact that it does not rely on pre-labeled reviews - and it is agnostic -
since it does not make any assumption about the domain or the language of the
review co... | computer science |
38,379 | Friendships, Rivalries, and Trysts: Characterizing Relations between
Ideas in Texts | cs.SI | Understanding how ideas relate to each other is a fundamental question in
many domains, ranging from intellectual history to public communication.
Because ideas are naturally embedded in texts, we propose the first framework
to systematically characterize the relations between ideas based on their
occurrence in a corpu... | computer science |
38,380 | A polynomial time algorithm for the Lambek calculus with brackets of
bounded order | cs.LO | Lambek calculus is a logical foundation of categorial grammar, a linguistic
paradigm of grammar as logic and parsing as deduction. Pentus (2010) gave a
polynomial-time algorithm for determ- ining provability of bounded depth
formulas in the Lambek calculus with empty antecedents allowed. Pentus'
algorithm is based on t... | computer science |
38,381 | Analysis of Computational Science Papers from ICCS 2001-2016 using Topic
Modeling and Graph Theory | cs.DL | This paper presents results of topic modeling and network models of topics
using the International Conference on Computational Science corpus, which
contains domain-specific (computational science) papers over sixteen years (a
total of 5695 papers). We discuss topical structures of International
Conference on Computati... | computer science |
38,382 | Agent-based model for the origins of scaling in human language | cs.CL | Background/Introduction: The Zipf's law establishes that if the words of a
(large) text are ordered by decreasing frequency, the frequency versus the rank
decreases as a power law with exponent close to -1. Previous work has stressed
that this pattern arises from a conflict of interests of the participants of
communica... | computer science |
38,383 | Matroids Hitting Sets and Unsupervised Dependency Grammar Induction | cs.DM | This paper formulates a novel problem on graphs: find the minimal subset of
edges in a fully connected graph, such that the resulting graph contains all
spanning trees for a set of specifed sub-graphs. This formulation is motivated
by an un-supervised grammar induction problem from computational linguistics.
We present... | computer science |
38,384 | Helping News Editors Write Better Headlines: A Recommender to Improve
the Keyword Contents & Shareability of News Headlines | cs.CL | We present a software tool that employs state-of-the-art natural language
processing (NLP) and machine learning techniques to help newspaper editors
compose effective headlines for online publication. The system identifies the
most salient keywords in a news article and ranks them based on both their
overall popularity... | computer science |
38,385 | Community Identity and User Engagement in a Multi-Community Landscape | cs.SI | A community's identity defines and shapes its internal dynamics. Our current
understanding of this interplay is mostly limited to glimpses gathered from
isolated studies of individual communities. In this work we provide a
systematic exploration of the nature of this relation across a wide variety of
online communities... | computer science |
38,386 | Multiplex model of mental lexicon reveals explosive learning in humans | cs.CL | Word similarities affect language acquisition and use in a multi-relational
way barely accounted for in the literature. We propose a multiplex network
representation of this mental lexicon of word similarities as a natural
framework for investigating large-scale cognitive patterns. Our representation
accounts for seman... | computer science |
38,387 | The placement of the head that maximizes predictability. An information
theoretic approach | cs.CL | The minimization of the length of syntactic dependencies is a
well-established principle of word order and the basis of a mathematical theory
of word order. Here we complete that theory from the perspective of information
theory, adding a competing word order principle: the maximization of
predictability of a target el... | computer science |
38,388 | Joint Modeling of Topics, Citations, and Topical Authority in Academic
Corpora | cs.CL | Much of scientific progress stems from previously published findings, but
searching through the vast sea of scientific publications is difficult. We
often rely on metrics of scholarly authority to find the prominent authors but
these authority indices do not differentiate authority based on research
topics. We present ... | computer science |
38,389 | Wikipedia Vandal Early Detection: from User Behavior to User Embedding | cs.CR | Wikipedia is the largest online encyclopedia that allows anyone to edit
articles. In this paper, we propose the use of deep learning to detect vandals
based on their edit history. In particular, we develop a multi-source
long-short term memory network (M-LSTM) to model user behaviors by using a
variety of user edit asp... | computer science |
38,390 | Measuring Offensive Speech in Online Political Discourse | cs.CL | The Internet and online forums such as Reddit have become an increasingly
popular medium for citizens to engage in political conversations. However, the
online disinhibition effect resulting from the ability to use pseudonymous
identities may manifest in the form of offensive speech, consequently making
political discu... | computer science |
38,391 | Sympathy Begins with a Smile, Intelligence Begins with a Word: Use of
Multimodal Features in Spoken Human-Robot Interaction | cs.RO | Recognition of social signals, from human facial expressions or prosody of
speech, is a popular research topic in human-robot interaction studies. There
is also a long line of research in the spoken dialogue community that
investigates user satisfaction in relation to dialogue characteristics.
However, very little rese... | computer science |
38,392 | Is Natural Language a Perigraphic Process? The Theorem about Facts and
Words Revisited | cs.IT | As we discuss, a stationary stochastic process is nonergodic when a random
persistent topic can be detected in the infinite random text sampled from the
process, whereas we call the process strongly nonergodic when an infinite
sequence of independent random bits, called probabilistic facts, is needed to
describe this t... | computer science |
38,393 | Multi-scale Multi-band DenseNets for Audio Source Separation | cs.SD | This paper deals with the problem of audio source separation. To handle the
complex and ill-posed nature of the problems of audio source separation, the
current state-of-the-art approaches employ deep neural networks to obtain
instrumental spectra from a mixture. In this study, we propose a novel network
architecture t... | computer science |
38,394 | Determining sentiment in citation text and analyzing its impact on the
proposed ranking index | cs.IR | Whenever human beings interact with each other, they exchange or express
opinions, emotions, and sentiments. These opinions can be expressed in text,
speech or images. Analysis of these sentiments is one of the popular research
areas of present day researchers. Sentiment analysis, also known as opinion
mining tries to ... | computer science |
38,395 | An Interactive Tool for Natural Language Processing on Clinical Text | cs.HC | Natural Language Processing (NLP) systems often make use of machine learning
techniques that are unfamiliar to end-users who are interested in analyzing
clinical records. Although NLP has been widely used in extracting information
from clinical text, current systems generally do not support model revision
based on feed... | computer science |
38,396 | Look Who's Talking: Bipartite Networks as Representations of a Topic
Model of New Zealand Parliamentary Speeches | cs.CL | Quantitative methods to measure the participation to parliamentary debate and
discourse of elected Members of Parliament (MPs) and the parties they belong to
are lacking. This is an exploratory study in which we propose the development
of a new approach for a quantitative analysis of such participation. We utilize
the ... | computer science |
38,397 | Memoisation: Purely, Left-recursively, and with (Continuation Passing)
Style | cs.LO | Memoisation, or tabling, is a well-known technique that yields large
improvements in the performance of some recursive computations. Tabled
resolution in Prologs such as XSB and B-Prolog can transform so called
left-recursive predicates from non-terminating computations into finite and
well-behaved ones. In the functio... | computer science |
38,398 | Automatized Generation of Alphabets of Symbols | cs.HC | In this paper, we discuss the generation of symbols (and alphabets) based on
specific user requirements (medium, priorities, type of information that needs
to be conveyed). A framework for the generation of alphabets is proposed, and
its use for the generation of a shorthand writing system is explored. We
discuss the p... | computer science |
38,399 | A Comparative Analysis of Social Network Pages by Interests of Their
Followers | cs.CL | Being a matter of cognition, user interests should be apt to classification
independent of the language of users, social network and content of interest
itself. To prove it, we analyze a collection of English and Russian Twitter and
Vkontakte community pages by interests of their followers. First, we create a
model of ... | computer science |
38,400 | Metrical-accent Aware Vocal Onset Detection in Polyphonic Audio | cs.SD | The goal of this study is the automatic detection of onsets of the singing
voice in polyphonic audio recordings. Starting with a hypothesis that the
knowledge of the current position in a metrical cycle (i.e. metrical accent)
can improve the accuracy of vocal note onset detection, we propose a novel
probabilistic model... | computer science |
38,401 | A study on text-score disagreement in online reviews | cs.CL | In this paper, we focus on online reviews and employ artificial intelligence
tools, taken from the cognitive computing field, to help understanding the
relationships between the textual part of the review and the assigned numerical
score. We move from the intuitions that 1) a set of textual reviews expressing
different... | computer science |
38,402 | Autocompletion interfaces make crowd workers slower, but their use
promotes response diversity | cs.HC | Creative tasks such as ideation or question proposal are powerful
applications of crowdsourcing, yet the quantity of workers available for
addressing practical problems is often insufficient. To enable scalable
crowdsourcing thus requires gaining all possible efficiency and information
from available workers. One optio... | computer science |
38,403 | Ultraslow diffusion in language: Dynamics of appearance of already
popular adjectives on Japanese blogs | cs.CL | What dynamics govern a time series representing the appearance of words in
social media data? In this paper, we investigate an elementary dynamics, from
which word-dependent special effects are segregated, such as breaking news,
increasing (or decreasing) concerns, or seasonality. To elucidate this problem,
we investig... | computer science |
38,404 | Extracting Core Claims from Scientific Articles | cs.IR | The number of scientific articles has grown rapidly over the years and there
are no signs that this growth will slow down in the near future. Because of
this, it becomes increasingly difficult to keep up with the latest developments
in a scientific field. To address this problem, we present here an approach to
help res... | computer science |
38,405 | On the letter frequencies and entropy of written Marathi | cs.IT | We carry out a comprehensive analysis of letter frequencies in contemporary
written Marathi. We determine sets of letters which statistically predominate
any large generic Marathi text, and use these sets to estimate the entropy of
Marathi. | computer science |
38,406 | Topology Analysis of International Networks Based on Debates in the
United Nations | cs.CL | In complex, high dimensional and unstructured data it is often difficult to
extract meaningful patterns. This is especially the case when dealing with
textual data. Recent studies in machine learning, information theory and
network science have developed several novel instruments to extract the
semantics of unstructure... | computer science |
38,407 | Language Design and Renormalization | cs.CL | Here we consider some well-known facts in syntax from a physics perspective,
which allows us to establish some remarkable equivalences. Specifically, we
observe that the operation MERGE put forward by N. Chomsky in 1995 can be
interpreted as a physical information coarse-graining. Thus, MERGE in
linguistics entails inf... | computer science |
38,408 | Multimodal Classification for Analysing Social Media | cs.CL | Classification of social media data is an important approach in understanding
user behavior on the Web. Although information on social media can be of
different modalities such as texts, images, audio or videos, traditional
approaches in classification usually leverage only one prominent modality.
Techniques that are a... | computer science |
38,409 | LitStoryTeller: An Interactive System for Visual Exploration of
Scientific Papers Leveraging Named entities and Comparative Sentences | cs.HC | The present study proposes LitStoryTeller, an interactive system for visually
exploring the semantic structure of a scientific article. We demonstrate how
LitStoryTeller could be used to answer some of the most fundamental research
questions, such as how a new method was built on top of existing methods, based
on what ... | computer science |
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