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34,204 | Logique mathématique et linguistique formelle | math.LO | As the etymology of the word shows, logic is intimately related to language,
as exemplified by the work of philosophers from Antiquity and from the
Middle-Age. At the beginning of the XX century, the crisis of the foundations
of mathematics invented mathematical logic and imposed logic as a
language-based foundation fo... | computer science |
34,205 | Architecture of an Ontology-Based Domain-Specific Natural Language
Question Answering System | cs.CL | Question answering (QA) system aims at retrieving precise information from a
large collection of documents against a query. This paper describes the
architecture of a Natural Language Question Answering (NLQA) system for a
specific domain based on the ontological information, a step towards semantic
web question answer... | computer science |
34,206 | Clustering and Relational Ambiguity: from Text Data to Natural Data | cs.CL | Text data is often seen as "take-away" materials with little noise and easy
to process information. Main questions are how to get data and transform them
into a good document format. But data can be sensitive to noise oftenly called
ambiguities. Ambiguities are aware from a long time, mainly because polysemy is
obvious... | computer science |
34,207 | Synchronous Context-Free Grammars and Optimal Linear Parsing Strategies | cs.FL | Synchronous Context-Free Grammars (SCFGs), also known as syntax-directed
translation schemata, are unlike context-free grammars in that they do not have
a binary normal form. In general, parsing with SCFGs takes space and time
polynomial in the length of the input strings, but with the degree of the
polynomial dependin... | computer science |
34,208 | Time-dependent Hierarchical Dirichlet Model for Timeline Generation | cs.CL | Timeline Generation aims at summarizing news from different epochs and
telling readers how an event evolves. It is a new challenge that combines
salience ranking with novelty detection. For long-term public events, the main
topic usually includes various aspects across different epochs and each aspect
has its own evolv... | computer science |
34,209 | A Survey of Data Mining Techniques for Social Media Analysis | cs.SI | Social network has gained remarkable attention in the last decade. Accessing
social network sites such as Twitter, Facebook LinkedIn and Google+ through the
internet and the web 2.0 technologies has become more affordable. People are
becoming more interested in and relying on social network for information, news
and op... | computer science |
34,210 | Designing Spontaneous Speech Search Interface for Historical Archives | cs.HC | Spontaneous speech in the form of conversations, meetings, voice-mail,
interviews, oral history, etc. is one of the most ubiquitous forms of human
communication. Search engines providing access to such speech collections have
the potential to better inform intelligence and make relevant data over vast
audio/video archi... | computer science |
34,211 | Generation, Implementation and Appraisal of an N-gram based Stemming
Algorithm | cs.IR | A language independent stemmer has always been looked for. Single N-gram
tokenization technique works well, however, it often generates stems that start
with intermediate characters, rather than initial ones. We present a novel
technique that takes the concept of N gram stemming one step ahead and compare
our method wi... | computer science |
34,212 | Suffix Stripping Problem as an Optimization Problem | cs.IR | Stemming or suffix stripping, an important part of the modern Information
Retrieval systems, is to find the root word (stem) out of a given cluster of
words. Existing algorithms targeting this problem have been developed in a
haphazard manner. In this work, we model this problem as an optimization
problem. An Integer P... | computer science |
34,213 | Polish and English wordnets -- statistical analysis of interconnected
networks | cs.CL | Wordnets are semantic networks containing nouns, verbs, adjectives, and
adverbs organized according to linguistic principles, by means of semantic
relations. In this work, we adopt a complex network perspective to perform a
comparative analysis of the English and Polish wordnets. We determine their
similarities and sho... | computer science |
34,214 | Aspect-Based Opinion Extraction from Customer reviews | cs.CL | Text is the main method of communicating information in the digital age.
Messages, blogs, news articles, reviews, and opinionated information abound on
the Internet. People commonly purchase products online and post their opinions
about purchased items. This feedback is displayed publicly to assist others
with their pu... | computer science |
34,215 | Automatic Detection of Reuses and Citations in Literary Texts | cs.CL | For more than forty years now, modern theories of literature (Compagnon,
1979) insist on the role of paraphrases, rewritings, citations, reciprocal
borrowings and mutual contributions of any kinds. The notions of
intertextuality, transtextuality, hypertextuality/hypotextuality, were
introduced in the seventies and eigh... | computer science |
34,216 | Pagination: It's what you say, not how long it takes to say it | cs.CL | Pagination - the process of determining where to break an article across
pages in a multi-article layout is a common layout challenge for most
commercially printed newspapers and magazines. To date, no one has created an
algorithm that determines a minimal pagination break point based on the content
of the article. Exi... | computer science |
34,217 | Complexity of Grammar Induction for Quantum Types | cs.CL | Most categorical models of meaning use a functor from the syntactic category
to the semantic category. When semantic information is available, the problem
of grammar induction can therefore be defined as finding preimages of the
semantic types under this forgetful functor, lifting the information flow from
the semantic... | computer science |
34,218 | Is it morally acceptable for a system to lie to persuade me? | cs.CY | Given the fast rise of increasingly autonomous artificial agents and robots,
a key acceptability criterion will be the possible moral implications of their
actions. In particular, intelligent persuasive systems (systems designed to
influence humans via communication) constitute a highly sensitive topic because
of their... | computer science |
34,219 | Opinion Mining In Hindi Language: A Survey | cs.IR | Opinions are very important in the life of human beings. These Opinions
helped the humans to carry out the decisions. As the impact of the Web is
increasing day by day, Web documents can be seen as a new source of opinion for
human beings. Web contains a huge amount of information generated by the users
through blogs, ... | computer science |
34,220 | Linking Geographic Vocabularies through WordNet | cs.IR | The linked open data (LOD) paradigm has emerged as a promising approach to
structuring and sharing geospatial information. One of the major obstacles to
this vision lies in the difficulties found in the automatic integration between
heterogeneous vocabularies and ontologies that provides the semantic backbone
of the gr... | computer science |
34,221 | A Structural Query System for Han Characters | cs.CL | The IDSgrep structural query system for Han character dictionaries is
presented. This system includes a data model and syntax for describing the
spatial structure of Han characters using Extended Ideographic Description
Sequences (EIDSes) based on the Unicode IDS syntax; a language for querying
EIDS databases, designed... | computer science |
34,222 | An Account of Opinion Implicatures | cs.CL | While previous sentiment analysis research has concentrated on the
interpretation of explicitly stated opinions and attitudes, this work initiates
the computational study of a type of opinion implicature (i.e.,
opinion-oriented inference) in text. This paper described a rule-based
framework for representing and analyzi... | computer science |
34,223 | Concise comparative summaries (CCS) of large text corpora with a human
experiment | cs.CL | In this paper we propose a general framework for topic-specific summarization
of large text corpora and illustrate how it can be used for the analysis of
news databases. Our framework, concise comparative summarization (CCS), is
built on sparse classification methods. CCS is a lightweight and flexible tool
that offers ... | computer science |
34,224 | Toward Network-based Keyword Extraction from Multitopic Web Documents | cs.CL | In this paper we analyse the selectivity measure calculated from the complex
network in the task of the automatic keyword extraction. Texts, collected from
different web sources (portals, forums), are represented as directed and
weighted co-occurrence complex networks of words. Words are nodes and links are
established... | computer science |
34,225 | Benchmarking Named Entity Disambiguation approaches for Streaming Graphs | cs.CL | Named Entity Disambiaguation (NED) is a central task for applications dealing
with natural language text. Assume that we have a graph based knowledge base
(subsequently referred as Knowledge Graph) where nodes represent various real
world entities such as people, location, organization and concepts. Given data
sources ... | computer science |
34,226 | Understanding Zipf's law of word frequencies through sample-space
collapse in sentence formation | cs.CL | The formation of sentences is a highly structured and history-dependent
process. The probability of using a specific word in a sentence strongly
depends on the 'history' of word-usage earlier in that sentence. We study a
simple history-dependent model of text generation assuming that the
sample-space of word usage redu... | computer science |
34,227 | Modeling languages from graph networks | cs.CL | We model and compute the probability distribution of the letters in random
generated words in a language by using the theory of set partitions, Young
tableaux and graph theoretical representation methods. This has been of
interest for several application areas such as network systems, bioinformatics,
internet search, d... | computer science |
34,228 | Autonomous requirements specification processing using natural language
processing | cs.CL | We describe our ongoing research that centres on the application of natural
language processing (NLP) to software engineering and systems development
activities. In particular, this paper addresses the use of NLP in the
requirements analysis and systems design processes. We have developed a
prototype toolset that can a... | computer science |
34,229 | How the Voynich Manuscript was created | cs.CR | The Voynich manuscript is a medieval book written in an unknown script. This
paper studies the relation between similarly spelled words in the Voynich
manuscript. By means of a detailed analysis of similar spelled words it was
possible to reveal the text generation method used for the Voynich manuscript. | computer science |
34,230 | Text Classification Using Association Rules, Dependency Pruning and
Hyperonymization | cs.IR | We present new methods for pruning and enhancing item- sets for text
classification via association rule mining. Pruning methods are based on
dependency syntax and enhancing methods are based on replacing words by their
hyperonyms of various orders. We discuss the impact of these methods, compared
to pruning based on t... | computer science |
34,231 | An Approach for Text Steganography Based on Markov Chains | cs.MM | A text steganography method based on Markov chains is introduced, together
with a reference implementation. This method allows for information hiding in
texts that are automatically generated following a given Markov model. Other
Markov - based systems of this kind rely on big simplifications of the language
model to w... | computer science |
34,232 | Semantic clustering of Russian web search results: possibilities and
problems | cs.CL | The paper deals with word sense induction from lexical co-occurrence graphs.
We construct such graphs on large Russian corpora and then apply this data to
cluster Mail.ru Search results according to meanings of the query. We compare
different methods of performing such clustering and different source corpora.
Models of... | computer science |
34,233 | Text mixing shapes the anatomy of rank-frequency distributions: A modern
Zipfian mechanics for natural language | cs.CL | Natural languages are full of rules and exceptions. One of the most famous
quantitative rules is Zipf's law which states that the frequency of occurrence
of a word is approximately inversely proportional to its rank. Though this
`law' of ranks has been found to hold across disparate texts and forms of data,
analyses of... | computer science |
34,234 | Polarity detection movie reviews in hindi language | cs.CL | Nowadays peoples are actively involved in giving comments and reviews on
social networking websites and other websites like shopping websites, news
websites etc. large number of people everyday share their opinion on the web,
results is a large number of user data is collected .users also find it trivial
task to read a... | computer science |
34,235 | Voting for Deceptive Opinion Spam Detection | cs.CL | Consumers' purchase decisions are increasingly influenced by user-generated
online reviews. Accordingly, there has been growing concern about the potential
for posting deceptive opinion spam fictitious reviews that have been
deliberately written to sound authentic, to deceive the readers. Existing
approaches mainly foc... | computer science |
34,236 | Modeling the average shortest path length in growth of word-adjacency
networks | cs.CL | We investigate properties of evolving linguistic networks defined by the
word-adjacency relation. Such networks belong to the category of networks with
accelerated growth but their shortest path length appears to reveal the network
size dependence of different functional form than the ones known so far. We
thus compare... | computer science |
34,237 | Interactive Visual Exploration of Topic Models using Graphs | cs.IR | Probabilistic topic modeling is a popular and powerful family of tools for
uncovering thematic structure in large sets of unstructured text documents.
While much attention has been directed towards the modeling algorithms and
their various extensions, comparatively few studies have concerned how to
present or visualize... | computer science |
34,238 | Controversy and Sentiment in Online News | cs.CY | How do news sources tackle controversial issues? In this work, we take a
data-driven approach to understand how controversy interplays with emotional
expression and biased language in the news. We begin by introducing a new
dataset of controversial and non-controversial terms collected using
crowdsourcing. Then, focusi... | computer science |
34,239 | Generating abbreviations using Google Books library | cs.CL | The article describes the original method of creating a dictionary of
abbreviations based on the Google Books Ngram Corpus. The dictionary of
abbreviations is designed for Russian, yet as its methodology is universal it
can be applied to any language. The dictionary can be used to define the
function of the period duri... | computer science |
34,240 | A Scalable, Lexicon Based Technique for Sentiment Analysis | cs.IR | Rapid increase in the volume of sentiment rich social media on the web has
resulted in an increased interest among researchers regarding Sentimental
Analysis and opinion mining. However, with so much social media available on
the web, sentiment analysis is now considered as a big data task. Hence the
conventional senti... | computer science |
34,241 | Riesz Logic | cs.LO | We introduce Riesz Logic, whose models are abelian lattice ordered groups,
which generalise Riesz spaces (vector lattices), and show soundness and
completeness. Our motivation is to provide a logic for distributional semantics
of natural language, where words are typically represented as elements of a
vector space whos... | computer science |
34,242 | Sentiment Analysis based on User Tag for Traditional Chinese Medicine in
Weibo | cs.CL | With the acceptance of Western culture and science, Traditional Chinese
Medicine (TCM) has become a controversial issue in China. So, it's important to
study the public's sentiment and opinion on TCM. The rapid development of
online social network, such as twitter, make it convenient and efficient to
sample hundreds of... | computer science |
34,243 | Patterns in the English Language: Phonological Networks, Percolation and
Assembly Models | cs.CL | In this paper we provide a quantitative framework for the study of
phonological networks (PNs) for the English language by carrying out principled
comparisons to null models, either based on site percolation, randomization
techniques, or network growth models. In contrast to previous work, we mainly
focus on null model... | computer science |
34,244 | Choice of Mel Filter Bank in Computing MFCC of a Resampled Speech | cs.SD | Mel Frequency Cepstral Coefficients (MFCCs) are the most popularly used
speech features in most speech and speaker recognition applications. In this
paper, we study the effect of resampling a speech signal on these speech
features. We first derive a relationship between the MFCC param- eters of the
resampled speech and... | computer science |
34,245 | Modified Mel Filter Bank to Compute MFCC of Subsampled Speech | cs.CL | Mel Frequency Cepstral Coefficients (MFCCs) are the most popularly used
speech features in most speech and speaker recognition applications. In this
work, we propose a modified Mel filter bank to extract MFCCs from subsampled
speech. We also propose a stronger metric which effectively captures the
correlation between M... | computer science |
34,246 | Semi-Automatic Construction of a Domain Ontology for Wind Energy Using
Wikipedia Articles | cs.CL | Domain ontologies are important information sources for knowledge-based
systems. Yet, building domain ontologies from scratch is known to be a very
labor-intensive process. In this study, we present our semi-automatic approach
to building an ontology for the domain of wind energy which is an important
type of renewable... | computer science |
34,247 | What a Nasty day: Exploring Mood-Weather Relationship from Twitter | cs.SI | While it has long been believed in psychology that weather somehow influences
human's mood, the debates have been going on for decades about how they are
correlated. In this paper, we try to study this long-lasting topic by
harnessing a new source of data compared from traditional psychological
researches: Twitter. We ... | computer science |
34,248 | The Latent Structure of Dictionaries | cs.CL | How many words (and which ones) are sufficient to define all other words?
When dictionaries are analyzed as directed graphs with links from defining
words to defined words, they reveal a latent structure. Recursively removing
all words that are reachable by definition but that do not define any further
words reduces th... | computer science |
34,249 | Using Linguistic Features to Estimate Suicide Probability of Chinese
Microblog Users | cs.SI | If people with high risk of suicide can be identified through social media
like microblog, it is possible to implement an active intervention system to
save their lives. Based on this motivation, the current study administered the
Suicide Probability Scale(SPS) to 1041 weibo users at Sina Weibo, which is a
leading micr... | computer science |
34,250 | A Probabilistic Translation Method for Dictionary-based Cross-lingual
Information Retrieval in Agglutinative Languages | cs.IR | Translation ambiguity, out of vocabulary words and missing some translations
in bilingual dictionaries make dictionary-based Cross-language Information
Retrieval (CLIR) a challenging task. Moreover, in agglutinative languages which
do not have reliable stemmers, missing various lexical formations in bilingual
dictionar... | computer science |
34,251 | Autonomization of Monoidal Categories | math.CT | We define the free autonomous category generated by a monoidal category and
study some of its properties. From a linguistic perspective, this expands the
range of possible models of meaning within the distributional compositional
framework, by allowing nonlinearities in maps. From a categorical point of
view, this prov... | computer science |
34,252 | Watsonsim: Overview of a Question Answering Engine | cs.CL | The objective of the project is to design and run a system similar to Watson,
designed to answer Jeopardy questions. In the course of a semester, we
developed an open source question answering system using the Indri, Lucene,
Bing and Google search engines, Apache UIMA, Open- and CoreNLP, and Weka among
additional modul... | computer science |
34,253 | Word learning under infinite uncertainty | cs.CL | Language learners must learn the meanings of many thousands of words, despite
those words occurring in complex environments in which infinitely many meanings
might be inferred by the learner as a word's true meaning. This problem of
infinite referential uncertainty is often attributed to Willard Van Orman
Quine. We pro... | computer science |
34,254 | Ripple Down Rules for Question Answering | cs.CL | Recent years have witnessed a new trend of building ontology-based question
answering systems. These systems use semantic web information to produce more
precise answers to users' queries. However, these systems are mostly designed
for English. In this paper, we introduce an ontology-based question answering
system nam... | computer science |
34,255 | Tools for Terminology Processing | cs.CY | Automatic terminology processing appeared 10 years ago when electronic
corpora became widely available. Such processing may be statistically or
linguistically based and produces terminology resources that can be used in a
number of applications : indexing, information retrieval, technology watch,
etc. We present the to... | computer science |
34,256 | A Broadcast News Corpus for Evaluation and Tuning of German LVCSR
Systems | cs.CL | Transcription of broadcast news is an interesting and challenging application
for large-vocabulary continuous speech recognition (LVCSR). We present in
detail the structure of a manually segmented and annotated corpus including
over 160 hours of German broadcast news, and propose it as an evaluation
framework of LVCSR ... | computer science |
34,257 | Scaling laws in human speech, decreasing emergence of new words and a
generalized model | cs.CL | Human language, as a typical complex system, its organization and evolution
is an attractive topic for both physical and cultural researchers. In this
paper, we present the first exhaustive analysis of the text organization of
human speech. Two important results are that: (i) the construction and
organization of spoken... | computer science |
34,258 | Word Network Topic Model: A Simple but General Solution for Short and
Imbalanced Texts | cs.CL | The short text has been the prevalent format for information of Internet in
recent decades, especially with the development of online social media, whose
millions of users generate a vast number of short messages everyday. Although
sophisticated signals delivered by the short text make it a promising source
for topic m... | computer science |
34,259 | Extended Recommendation Framework: Generating the Text of a User Review
as a Personalized Summary | cs.IR | We propose to augment rating based recommender systems by providing the user
with additional information which might help him in his choice or in the
understanding of the recommendation. We consider here as a new task, the
generation of personalized reviews associated to items. We use an extractive
summary formulation ... | computer science |
34,260 | Annotation as a New Paradigm in Research Archiving | cs.DL | We outline a paradigm to preserve results of digital scholarship, whether
they are query results, feature values, or topic assignments. This paradigm is
characterized by using annotations as multifunctional carriers and making them
portable. The testing grounds we have chosen are two significant enterprises,
one in the... | computer science |
34,261 | Plagiarism Detection on Electronic Text based Assignments using Vector
Space Model (ICIAfS14) | cs.IR | Plagiarism is known as illegal use of others' part of work or whole work as
one's own in any field such as art, poetry, literature, cinema, research and
other creative forms of study. Plagiarism is one of the important issues in
academic and research fields and giving more concern in academic systems. The
situation is ... | computer science |
34,262 | Persian Sentiment Analyzer: A Framework based on a Novel Feature
Selection Method | cs.CL | In the recent decade, with the enormous growth of digital content in internet
and databases, sentiment analysis has received more and more attention between
information retrieval and natural language processing researchers. Sentiment
analysis aims to use automated tools to detect subjective information from
reviews. On... | computer science |
34,263 | Quantifying origin and character of long-range correlations in narrative
texts | cs.CL | In natural language using short sentences is considered efficient for
communication. However, a text composed exclusively of such sentences looks
technical and reads boring. A text composed of long ones, on the other hand,
demands significantly more effort for comprehension. Studying characteristics
of the sentence len... | computer science |
34,264 | Probing the topological properties of complex networks modeling short
written texts | cs.CL | In recent years, graph theory has been widely employed to probe several
language properties. More specifically, the so-called word adjacency model has
been proven useful for tackling several practical problems, especially those
relying on textual stylistic analysis. The most common approach to treat texts
as networks h... | computer science |
34,265 | QANUS: An Open-source Question-Answering Platform | cs.IR | In this paper, we motivate the need for a publicly available, generic
software framework for question-answering (QA) systems. We present an
open-source QA framework QANUS which researchers can leverage on to build new
QA systems easily and rapidly. The framework implements much of the code that
will otherwise have been... | computer science |
34,266 | Arabic Text Categorization Algorithm using Vector Evaluation Method | cs.IR | Text categorization is the process of grouping documents into categories
based on their contents. This process is important to make information
retrieval easier, and it became more important due to the huge textual
information available online. The main problem in text categorization is how to
improve the classificatio... | computer science |
34,267 | Roman Urdu Opinion Mining System (RUOMiS) | cs.CL | Convincing a customer is always considered as a challenging task in every
business. But when it comes to online business, this task becomes even more
difficult. Online retailers try everything possible to gain the trust of the
customer. One of the solutions is to provide an area for existing users to
leave their commen... | computer science |
34,268 | The Hebrew Bible as Data: Laboratory - Sharing - Experiences | cs.CL | The systematic study of ancient texts including their production,
transmission and interpretation is greatly aided by the digital methods that
started taking off in the 1970s. But how is that research in turn transmitted
to new generations of researchers? We tell a story of Bible and computer across
the decades and the... | computer science |
34,269 | Towards Deep Semantic Analysis Of Hashtags | cs.IR | Hashtags are semantico-syntactic constructs used across various social
networking and microblogging platforms to enable users to start a topic
specific discussion or classify a post into a desired category. Segmenting and
linking the entities present within the hashtags could therefore help in better
understanding and ... | computer science |
34,270 | Quantifying Prosodic Variability in Middle English Alliterative Poetry | stat.AP | Interest in the mathematical structure of poetry dates back to at least the
19th century: after retiring from his mathematics position, J. J. Sylvester
wrote a book on prosody called $\textit{The Laws of Verse}$. Today there is
interest in the computer analysis of poems, and this paper discusses how a
statistical appro... | computer science |
34,271 | Regroupement sémantique de définitions en espagnol | cs.IR | This article focuses on the description and evaluation of a new unsupervised
learning method of clustering of definitions in Spanish according to their
semantic. Textual Energy was used as a clustering measure, and we study an
adaptation of the Precision and Recall to evaluate our method. | computer science |
34,272 | Towards Resolving Software Quality-in-Use Measurement Challenges | cs.SE | Software quality-in-use comprehends the quality from user's perspectives. It
has gained its importance in e-learning applications, mobile service based
applications and project management tools. User's decisions on software
acquisitions are often ad hoc or based on preference due to difficulty in
quantitatively measure... | computer science |
34,273 | Review Mining for Feature Based Opinion Summarization and Visualization | cs.IR | The application and usage of opinion mining, especially for business
intelligence, product recommendation, targeted marketing etc. have fascinated
many research attentions around the globe. Various research efforts attempted
to mine opinions from customer reviews at different levels of granularity,
including word-, sen... | computer science |
34,274 | A data-based classification of Slavic languages: Indices of qualitative
variation applied to grapheme frequencies | stat.AP | The Ord's graph is a simple graphical method for displaying frequency
distributions of data or theoretical distributions in the two-dimensional
plane. Its coordinates are proportions of the first three moments, either
empirical or theoretical ones. A modification of the Ord's graph based on
proportions of indices of qu... | computer science |
34,275 | Open Data Platform for Knowledge Access in Plant Health Domain : VESPA
Mining | cs.IR | Important data are locked in ancient literature. It would be uneconomic to
produce these data again and today or to extract them without the help of text
mining technologies. Vespa is a text mining project whose aim is to extract
data on pest and crops interactions, to model and predict attacks on crops, and
to reduce ... | computer science |
34,276 | Exploring semantically-related concepts from Wikipedia: the case of SeRE | cs.CL | In this paper we present our web application SeRE designed to explore
semantically related concepts. Wikipedia and DBpedia are rich data sources to
extract related entities for a given topic, like in- and out-links, broader and
narrower terms, categorisation information etc. We use the Wikipedia full text
body to compu... | computer science |
34,277 | CommentWatcher: An Open Source Web-based platform for analyzing
discussions on web forums | cs.CL | We present CommentWatcher, an open source tool aimed at analyzing discussions
on web forums. Constructed as a web platform, CommentWatcher features automatic
mass fetching of user posts from forum on multiple sites, extracting topics,
visualizing the topics as an expression cloud and exploring their temporal
evolution.... | computer science |
34,278 | On the universal structure of human lexical semantics | cs.CL | How universal is human conceptual structure? The way concepts are organized
in the human brain may reflect distinct features of cultural, historical, and
environmental background in addition to properties universal to human
cognition. Semantics, or meaning expressed through language, provides direct
access to the under... | computer science |
34,279 | Parsing Linear Context-Free Rewriting Systems with Fast Matrix
Multiplication | cs.CL | We describe a matrix multiplication recognition algorithm for a subset of
binary linear context-free rewriting systems (LCFRS) with running time
$O(n^{\omega d})$ where $M(m) = O(m^{\omega})$ is the running time for $m
\times m$ matrix multiplication and $d$ is the "contact rank" of the LCFRS --
the maximal number of c... | computer science |
34,280 | Hybridized Feature Extraction and Acoustic Modelling Approach for
Dysarthric Speech Recognition | cs.SD | Dysarthria is malfunctioning of motor speech caused by faintness in the human
nervous system. It is characterized by the slurred speech along with physical
impairment which restricts their communication and creates the lack of
confidence and affects the lifestyle. This paper attempt to increase the
efficiency of Automa... | computer science |
34,281 | Leveraging Textual Features for Best Answer Prediction in
Community-based Question Answering | cs.CL | This paper addresses the problem of determining the best answer in
Community-based Question Answering (CQA) websites by focussing on the content.
In particular, we present a system, ACQUA [http://acqua.kmi.open.ac.uk], that
can be installed onto the majority of browsers as a plugin. The service offers
a seamless and ac... | computer science |
34,282 | Exploiting Text and Network Context for Geolocation of Social Media
Users | cs.CL | Research on automatically geolocating social media users has conventionally
been based on the text content of posts from a given user or the social network
of the user, with very little crossover between the two, and no bench-marking
of the two approaches over compara- ble datasets. We bring the two threads of
research... | computer science |
34,283 | Significance of the levels of spectral valleys with application to
front/back distinction of vowel sounds | cs.CL | An objective critical distance (OCD) has been defined as that spacing between
adjacent formants, when the level of the valley between them reaches the mean
spectral level. The measured OCD lies in the same range (viz., 3-3.5 bark) as
the critical distance determined by subjective experiments for similar
experimental co... | computer science |
34,284 | Comparing and evaluating extended Lambek calculi | cs.CL | Lambeks Syntactic Calculus, commonly referred to as the Lambek calculus, was
innovative in many ways, notably as a precursor of linear logic. But it also
showed that we could treat our grammatical framework as a logic (as opposed to
a logical theory). However, though it was successful in giving at least a basic
treatme... | computer science |
34,285 | Twitter User Geolocation Using a Unified Text and Network Prediction
Model | cs.CL | We propose a label propagation approach to geolocation prediction based on
Modified Adsorption, with two enhancements:(1) the removal of "celebrity" nodes
to increase location homophily and boost tractability, and (2) he incorporation
of text-based geolocation priors for test users. Experiments over three Twitter
bench... | computer science |
34,286 | Linguistics and some aspects of its underlying dynamics | cs.CL | In recent years, central components of a new approach to linguistics, the
Minimalist Program (MP) have come closer to physics. Features of the Minimalist
Program, such as the unconstrained nature of recursive Merge, the operation of
the Labeling Algorithm that only operates at the interface of Narrow Syntax
with the Co... | computer science |
34,287 | Dimensionality on Summarization | cs.CL | Summarization is one of the key features of human intelligence. It plays an
important role in understanding and representation. With rapid and continual
expansion of texts, pictures and videos in cyberspace, automatic summarization
becomes more and more desirable. Text summarization has been studied for over
half centu... | computer science |
34,288 | Talking to the crowd: What do people react to in online discussions? | cs.CL | This paper addresses the question of how language use affects community
reaction to comments in online discussion forums, and the relative importance
of the message vs. the messenger. A new comment ranking task is proposed based
on community annotated karma in Reddit discussions, which controls for topic
and timing of ... | computer science |
34,289 | Data Mining of Causal Relations from Text: Analysing Maritime Accident
Investigation Reports | cs.IR | Text mining is a process of extracting information of interest from text.
Such a method includes techniques from various areas such as Information
Retrieval (IR), Natural Language Processing (NLP), and Information Extraction
(IE). In this study, text mining methods are applied to extract causal
relations from maritime ... | computer science |
34,290 | Extending a Single-Document Summarizer to Multi-Document: a Hierarchical
Approach | cs.IR | The increasing amount of online content motivated the development of
multi-document summarization methods. In this work, we explore straightforward
approaches to extend single-document summarization methods to multi-document
summarization. The proposed methods are based on the hierarchical combination
of single-documen... | computer science |
34,291 | A new hybrid stemming algorithm for Persian | cs.CL | Stemming has been an influential part in Information retrieval and search
engines. There have been tremendous endeavours in making stemmer that are both
efficient and accurate. Stemmers can have three method in stemming, Dictionary
based stemmer, statistical-based stemmers, and rule-based stemmers. This paper
aims at b... | computer science |
34,292 | Feature Normalisation for Robust Speech Recognition | cs.CL | Speech recognition system performance degrades in noisy environments. If the
acoustic models are built using features of clean utterances, the features of a
noisy test utterance would be acoustically mismatched with the trained model.
This gives poor likelihoods and poor recognition accuracy. Model adaptation and
featu... | computer science |
34,293 | Bias and population structure in the actuation of sound change | cs.CL | Why do human languages change at some times, and not others? We address this
longstanding question from a computational perspective, focusing on the case of
sound change. Sound change arises from the pronunciation variability ubiquitous
in every speech community, but most such variability does not lead to change.
Hence... | computer science |
34,294 | Persistent Topology of Syntax | cs.CL | We study the persistent homology of the data set of syntactic parameters of
the world languages. We show that, while homology generators behave erratically
over the whole data set, non-trivial persistent homology appears when one
restricts to specific language families. Different families exhibit different
persistent h... | computer science |
34,295 | The SYSU System for the Interspeech 2015 Automatic Speaker Verification
Spoofing and Countermeasures Challenge | cs.SD | Many existing speaker verification systems are reported to be vulnerable
against different spoofing attacks, for example speaker-adapted speech
synthesis, voice conversion, play back, etc. In order to detect these spoofed
speech signals as a countermeasure, we propose a score level fusion approach
with several differen... | computer science |
34,296 | Class Vectors: Embedding representation of Document Classes | cs.CL | Distributed representations of words and paragraphs as semantic embeddings in
high dimensional data are used across a number of Natural Language
Understanding tasks such as retrieval, translation, and classification. In this
work, we propose "Class Vectors" - a framework for learning a vector per class
in the same embe... | computer science |
34,297 | Significance of Maximum Spectral Amplitude in Sub-bands for Spectral
Envelope Estimation and Its Application to Statistical Parametric Speech
Synthesis | cs.SD | In this paper we propose a technique for spectral envelope estimation using
maximum values in the sub-bands of Fourier magnitude spectrum (MSASB). Most
other methods in the literature parametrize spectral envelope in cepstral
domain such as Mel-generalized cepstrum etc. Such cepstral domain
representations, although co... | computer science |
34,298 | Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs | cs.CL | We study the extent to which online social networks can be connected to open
knowledge bases. The problem is referred to as learning social knowledge
graphs. We propose a multi-modal Bayesian embedding model, GenVector, to learn
latent topics that generate word and network embeddings. GenVector leverages
large-scale un... | computer science |
34,299 | Topic Stability over Noisy Sources | cs.CL | Topic modelling techniques such as LDA have recently been applied to speech
transcripts and OCR output. These corpora may contain noisy or erroneous texts
which may undermine topic stability. Therefore, it is important to know how
well a topic modelling algorithm will perform when applied to noisy data. In
this paper w... | computer science |
34,300 | On Gobbledygook and Mood of the Philippine Senate: An Exploratory Study
on the Readability and Sentiment of Selected Philippine Senators' Microposts | cs.CL | This paper presents the findings of a readability assessment and sentiment
analysis of selected six Philippine senators' microposts over the popular
Twitter microblog. Using the Simple Measure of Gobbledygook (SMOG), tweets of
Senators Cayetano, Defensor-Santiago, Pangilinan, Marcos, Guingona, and
Escudero were assesse... | computer science |
34,301 | A Mood-based Genre Classification of Television Content | cs.IR | The classification of television content helps users organise and navigate
through the large list of channels and programs now available. In this paper,
we address the problem of television content classification by exploiting text
information extracted from program transcriptions. We present an analysis which
adapts a... | computer science |
34,302 | Automata networks model for alignment and least effort on vocabulary
formation | cs.CL | Can artificial communities of agents develop language with scaling relations
close to the Zipf law? As a preliminary answer to this question, we propose an
Automata Networks model of the formation of a vocabulary on a population of
individuals, under two in principle opposite strategies: the alignment and the
least eff... | computer science |
34,303 | Automata networks for memory loss effects in the formation of linguistic
conventions | cs.CL | This work attempts to give new theoretical insights to the absence of
intermediate stages in the evolution of language. In particular, it is
developed an automata networks approach to a crucial question: how a population
of language users can reach agreement on a linguistic convention? To describe
the appearance of sha... | computer science |
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