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34,304 | Mimicry Is Presidential: Linguistic Style Matching in Presidential
Debates and Improved Polling Numbers | cs.CL | The current research used the contexts of U.S. presidential debates and
negotiations to examine whether matching the linguistic style of an opponent in
a two-party exchange affects the reactions of third-party observers. Building
off communication accommodation theory (CAT), interaction alignment theory
(IAT), and proc... | computer science |
34,305 | Is Stack Overflow Overflowing With Questions and Tags | cs.SI | Programming question and answer (Q & A) websites, such as Quora, Stack
Overflow, and Yahoo! Answer etc. helps us to understand the programming
concepts easily and quickly in a way that has been tested and applied by many
software developers. Stack Overflow is one of the most frequently used
programming Q\&A website whe... | computer science |
34,306 | Fast, Flexible Models for Discovering Topic Correlation across
Weakly-Related Collections | cs.CL | Weak topic correlation across document collections with different numbers of
topics in individual collections presents challenges for existing
cross-collection topic models. This paper introduces two probabilistic topic
models, Correlated LDA (C-LDA) and Correlated HDP (C-HDP). These address
problems that can arise whe... | computer science |
34,307 | Simple Text Mining for Sentiment Analysis of Political Figure Using
Naive Bayes Classifier Method | cs.CL | Text mining can be applied to many fields. One of the application is using
text mining in digital newspaper to do politic sentiment analysis. In this
paper sentiment analysis is applied to get information from digital news
articles about its positive or negative sentiment regarding particular
politician. This paper sug... | computer science |
34,308 | A Framework for Comparing Groups of Documents | cs.CL | We present a general framework for comparing multiple groups of documents. A
bipartite graph model is proposed where document groups are represented as one
node set and the comparison criteria are represented as the other node set.
Using this model, we present basic algorithms to extract insights into
similarities and ... | computer science |
34,309 | Better Summarization Evaluation with Word Embeddings for ROUGE | cs.CL | ROUGE is a widely adopted, automatic evaluation measure for text
summarization. While it has been shown to correlate well with human judgements,
it is biased towards surface lexical similarities. This makes it unsuitable for
the evaluation of abstractive summarization, or summaries with substantial
paraphrasing. We stu... | computer science |
34,310 | A Hybrid Approach to Domain-Specific Entity Linking | cs.IR | The current state-of-the-art Entity Linking (EL) systems are geared towards
corpora that are as heterogeneous as the Web, and therefore perform
sub-optimally on domain-specific corpora. A key open problem is how to
construct effective EL systems for specific domains, as knowledge of the local
context should in principl... | computer science |
34,311 | On the evolution of word usage of classical Chinese poetry | cs.CL | The hierarchy of classical Chinese poetry has been broadly acknowledged by a
number of studies in Chinese literature. However, quantitative investigations
about the evolution of classical Chinese poetry are limited. The primary goal
of this study is to provide quantitative evidence of the evolutionary linkages,
with em... | computer science |
34,312 | amLite: Amharic Transliteration Using Key Map Dictionary | cs.CL | amLite is a framework developed to map ASCII transliterated Amharic texts
back to the original Amharic letter texts. The aim of such a framework is to
make existing Amharic linguistic data consistent and interoperable among
researchers. For achieving the objective, a key map dictionary is constructed
using the possible... | computer science |
34,313 | Building a Pilot Software Quality-in-Use Benchmark Dataset | cs.SE | Prepared domain specific datasets plays an important role to supervised
learning approaches. In this article a new sentence dataset for software
quality-in-use is proposed. Three experts were chosen to annotate the data
using a proposed annotation scheme. Then the data were reconciled in a (no
match eliminate) process ... | computer science |
34,314 | Noise Robust IOA/CAS Speech Separation and Recognition System For The
Third 'CHIME' Challenge | cs.SD | This paper presents the contribution to the third 'CHiME' speech separation
and recognition challenge including both front-end signal processing and
back-end speech recognition. In the front-end, Multi-channel Wiener filter
(MWF) is designed to achieve background noise reduction. Different from
traditional MWF, optimiz... | computer science |
34,315 | A Review of Features for the Discrimination of Twitter Users:
Application to the Prediction of Offline Influence | cs.CL | Many works related to Twitter aim at characterizing its users in some way:
role on the service (spammers, bots, organizations, etc.), nature of the user
(socio-professional category, age, etc.), topics of interest , and others.
However, for a given user classification problem, it is very difficult to
select a set of ap... | computer science |
34,316 | Noise-Robust ASR for the third 'CHiME' Challenge Exploiting
Time-Frequency Masking based Multi-Channel Speech Enhancement and Recurrent
Neural Network | cs.SD | In this paper, the Lingban entry to the third 'CHiME' speech separation and
recognition challenge is presented. A time-frequency masking based speech
enhancement front-end is proposed to suppress the environmental noise utilizing
multi-channel coherence and spatial cues. The state-of-the-art speech
recognition techniqu... | computer science |
34,317 | A Sentence Meaning Based Alignment Method for Parallel Text Corpora
Preparation | cs.CL | Text alignment is crucial to the accuracy of Machine Translation (MT)
systems, some NLP tools or any other text processing tasks requiring bilingual
data. This research proposes a language independent sentence alignment approach
based on Polish (not position-sensitive language) to English experiments. This
alignment ap... | computer science |
34,318 | RDF Knowledge Graph Visualization From a Knowledge Extraction System | cs.HC | In this paper, we present a system to visualize RDF knowledge graphs. These
graphs are obtained from a knowledge extraction system designed by
GEOLSemantics. This extraction is performed using natural language processing
and trigger detection. The user can visualize subgraphs by selecting some
ontology features like co... | computer science |
34,319 | Stochastic model for phonemes uncovers an author-dependency of their
usage | cs.CL | We study rank-frequency relations for phonemes, the minimal units that still
relate to linguistic meaning. We show that these relations can be described by
the Dirichlet distribution, a direct analogue of the ideal-gas model in
statistical mechanics. This description allows us to demonstrate that the
rank-frequency rel... | computer science |
34,320 | Parameterized Neural Network Language Models for Information Retrieval | cs.IR | Information Retrieval (IR) models need to deal with two difficult issues,
vocabulary mismatch and term dependencies. Vocabulary mismatch corresponds to
the difficulty of retrieving relevant documents that do not contain exact query
terms but semantically related terms. Term dependencies refers to the need of
considerin... | computer science |
34,321 | Helping Domain Experts Build Speech Translation Systems | cs.HC | We present a new platform, "Regulus Lite", which supports rapid development
and web deployment of several types of phrasal speech translation systems using
a minimal formalism. A distinguishing feature is that most development work can
be performed directly by domain experts. We motivate the need for platforms of
this ... | computer science |
34,322 | Hierarchical Representation of Prosody for Statistical Speech Synthesis | cs.CL | Prominences and boundaries are the essential constituents of prosodic
structure in speech. They provide for means to chunk the speech stream into
linguistically relevant units by providing them with relative saliences and
demarcating them within coherent utterance structures. Prominences and
boundaries have both been w... | computer science |
34,323 | A Novel Approach to Document Classification using WordNet | cs.IR | Content based Document Classification is one of the biggest challenges in the
context of free text mining. Current algorithms on document classifications
mostly rely on cluster analysis based on bag-of-words approach. However that
method is still being applied to many modern scientific dilemmas. It has
established a st... | computer science |
34,324 | Textual Analysis for Studying Chinese Historical Documents and Literary
Novels | cs.CL | We analyzed historical and literary documents in Chinese to gain insights
into research issues, and overview our studies which utilized four different
sources of text materials in this paper. We investigated the history of
concepts and transliterated words in China with the Database for the Study of
Modern China Though... | computer science |
34,325 | A language model based approach towards large scale and lightweight
language identification systems | cs.SD | Multilingual spoken dialogue systems have gained prominence in the recent
past necessitating the requirement for a front-end Language Identification
(LID) system. Most of the existing LID systems rely on modeling the language
discriminative information from low-level acoustic features. Due to the
variabilities of speec... | computer science |
34,326 | A Preliminary Study on the Learning Informativeness of Data Subsets | cs.CL | Estimating the internal state of a robotic system is complex: this is
performed from multiple heterogeneous sensor inputs and knowledge sources.
Discretization of such inputs is done to capture saliences, represented as
symbolic information, which often presents structure and recurrence. As these
sequences are used to ... | computer science |
34,327 | A Graph Traversal Based Approach to Answer Non-Aggregation Questions
Over DBpedia | cs.CL | We present a question answering system over DBpedia, filling the gap between
user information needs expressed in natural language and a structured query
interface expressed in SPARQL over the underlying knowledge base (KB). Given
the KB, our goal is to comprehend a natural language query and provide
corresponding accur... | computer science |
34,328 | Learning multi-faceted representations of individuals from heterogeneous
evidence using neural networks | cs.SI | Inferring latent attributes of people online is an important social computing
task, but requires integrating the many heterogeneous sources of information
available on the web. We propose learning individual representations of people
using neural nets to integrate rich linguistic and network evidence gathered
from soci... | computer science |
34,329 | How to merge three different methods for information filtering ? | cs.CL | Twitter is now a gold marketing tool for entities concerned with online
reputation. To automatically monitor online reputation of entities , systems
have to deal with ambiguous entity names, polarity detection and topic
detection. We propose three approaches to tackle the first issue: monitoring
Twitter in order to fin... | computer science |
34,330 | Object Oriented Analysis using Natural Language Processing concepts: A
Review | cs.SE | The Software Development Life Cycle (SDLC) starts with eliciting requirements
of the customers in the form of Software Requirement Specification (SRS). SRS
document needed for software development is mostly written in Natural
Language(NL) convenient for the client. From the SRS document only, the class
name, its attrib... | computer science |
34,331 | Automatic Prosody Prediction for Chinese Speech Synthesis using
BLSTM-RNN and Embedding Features | cs.CL | Prosody affects the naturalness and intelligibility of speech. However,
automatic prosody prediction from text for Chinese speech synthesis is still a
great challenge and the traditional conditional random fields (CRF) based
method always heavily relies on feature engineering. In this paper, we propose
to use neural ne... | computer science |
34,332 | Transforming Wikipedia into an Ontology-based Information Retrieval
Search Engine for Local Experts using a Third-Party Taxonomy | cs.IR | Wikipedia is widely used for finding general information about a wide variety
of topics. Its vocation is not to provide local information. For example, it
provides plot, cast, and production information about a given movie, but not
showing times in your local movie theatre. Here we describe how we can connect
local inf... | computer science |
34,333 | Multi-lingual Geoparsing based on Machine Translation | cs.CL | Our method for multi-lingual geoparsing uses monolingual tools and resources
along with machine translation and alignment to return location words in many
languages. Not only does our method save the time and cost of developing
geoparsers for each language separately, but also it allows the possibility of
a wide range ... | computer science |
34,334 | Sentiment Expression via Emoticons on Social Media | cs.CL | Emoticons (e.g., :) and :( ) have been widely used in sentiment analysis and
other NLP tasks as features to ma- chine learning algorithms or as entries of
sentiment lexicons. In this paper, we argue that while emoticons are strong and
common signals of sentiment expression on social media the relationship between
emoti... | computer science |
34,335 | Semi-supervised Bootstrapping approach for Named Entity Recognition | cs.CL | The aim of Named Entity Recognition (NER) is to identify references of named
entities in unstructured documents, and to classify them into pre-defined
semantic categories. NER often aids from added background knowledge in the form
of gazetteers. However using such a collection does not deal with name variants
and canno... | computer science |
34,336 | TGSum: Build Tweet Guided Multi-Document Summarization Dataset | cs.IR | The development of summarization research has been significantly hampered by
the costly acquisition of reference summaries. This paper proposes an effective
way to automatically collect large scales of news-related multi-document
summaries with reference to social media's reactions. We utilize two types of
social label... | computer science |
34,337 | Recognizing Temporal Linguistic Expression Pattern of Individual with
Suicide Risk on Social Media | cs.SI | Suicide is a global public health problem. Early detection of individual
suicide risk plays a key role in suicide prevention. In this paper, we propose
to look into individual suicide risk through time series analysis of personal
linguistic expression on social media (Weibo). We examined temporal patterns of
the lingui... | computer science |
34,338 | Probabilistic Latent Semantic Analysis (PLSA) untuk Klasifikasi Dokumen
Teks Berbahasa Indonesia | cs.CL | One task that is included in managing documents is how to find substantial
information inside. Topic modeling is a technique that has been developed to
produce document representation in form of keywords. The keywords will be used
in the indexing process and document retrieval as needed by users. In this
research, we w... | computer science |
34,339 | Klasifikasi Komponen Argumen Secara Otomatis pada Dokumen Teks berbentuk
Esai Argumentatif | cs.CL | By automatically recognize argument component, essay writers can do some
inspections to texts that they have written. It will assist essay scoring
process objectively and precisely because essay grader is able to see how well
the argument components are constructed. Some reseachers have tried to do
argument detection a... | computer science |
34,340 | Learning Semantic Similarity for Very Short Texts | cs.IR | Levering data on social media, such as Twitter and Facebook, requires
information retrieval algorithms to become able to relate very short text
fragments to each other. Traditional text similarity methods such as tf-idf
cosine-similarity, based on word overlap, mostly fail to produce good results
in this case, since wo... | computer science |
34,341 | Topic segmentation via community detection in complex networks | cs.CL | Many real systems have been modelled in terms of network concepts, and
written texts are a particular example of information networks. In recent
years, the use of network methods to analyze language has allowed the discovery
of several interesting findings, including the proposition of novel models to
explain the emerg... | computer science |
34,342 | SentiBench - a benchmark comparison of state-of-the-practice sentiment
analysis methods | cs.CL | In the last few years thousands of scientific papers have investigated
sentiment analysis, several startups that measure opinions on real data have
emerged and a number of innovative products related to this theme have been
developed. There are multiple methods for measuring sentiments, including
lexical-based and supe... | computer science |
34,343 | THCHS-30 : A Free Chinese Speech Corpus | cs.CL | Speech data is crucially important for speech recognition research. There are
quite some speech databases that can be purchased at prices that are reasonable
for most research institutes. However, for young people who just start research
activities or those who just gain initial interest in this direction, the cost
for... | computer science |
34,344 | An Operator for Entity Extraction in MapReduce | cs.DB | Dictionary-based entity extraction involves finding mentions of dictionary
entities in text. Text mentions are often noisy, containing spurious or missing
words. Efficient algorithms for detecting approximate entity mentions follow
one of two general techniques. The first approach is to build an index on the
entities a... | computer science |
34,345 | News Across Languages - Cross-Lingual Document Similarity and Event
Tracking | cs.IR | In today's world, we follow news which is distributed globally. Significant
events are reported by different sources and in different languages. In this
work, we address the problem of tracking of events in a large multilingual
stream. Within a recently developed system Event Registry we examine two
aspects of this pro... | computer science |
34,346 | Service Choreography, SBVR, and Time | cs.SE | We propose the use of structured natural language (English) in specifying
service choreographies, focusing on the what rather than the how of the
required coordination of participant services in realising a business
application scenario. The declarative approach we propose uses the OMG standard
Semantics of Business Vo... | computer science |
34,347 | Communicating with sentences: A multi-word naming game model | cs.CL | Naming game simulates the process of naming an object by a single word, in
which a population of communicating agents can reach global consensus
asymptotically through iteratively pair-wise conversations. We propose an
extension of the single-word model to a multi-word naming game (MWNG),
simulating the case of describ... | computer science |
34,348 | Analyzing Walter Skeat's Forty-Five Parallel Extracts of William
Langland's Piers Plowman | stat.AP | Walter Skeat published his critical edition of William Langland's 14th
century alliterative poem, Piers Plowman, in 1886. In preparation for this he
located forty-five manuscripts, and to compare dialects, he published excerpts
from each of these. This paper does three statistical analyses using these
excerpts, each of... | computer science |
34,349 | Technical Report: a tool for measuring Prosodic Accommodation | cs.SD | This article has been withdrawn by arXiv administrators because the submitter
did not have the legal authority to grant the license applied to the work. | computer science |
34,350 | Research Project: Text Engineering Tool for Ontological Scientometry | cs.CL | The number of scientific papers grows exponentially in many disciplines. The
share of online available papers grows as well. At the same time, the period of
time for a paper to loose at chance to be cited anymore shortens. The decay of
the citing rate shows similarity to ultradiffusional processes as for other
online c... | computer science |
34,351 | Improved Spoken Document Summarization with Coverage Modeling Techniques | cs.CL | Extractive summarization aims at selecting a set of indicative sentences from
a source document as a summary that can express the major theme of the
document. A general consensus on extractive summarization is that both
relevance and coverage are critical issues to address. The existing methods
designed to model covera... | computer science |
34,352 | Speech vocoding for laboratory phonology | cs.CL | Using phonological speech vocoding, we propose a platform for exploring
relations between phonology and speech processing, and in broader terms, for
exploring relations between the abstract and physical structures of a speech
signal. Our goal is to make a step towards bridging phonology and speech
processing and to con... | computer science |
34,353 | Undecidability of the Lambek calculus with a relevant modality | math.LO | Morrill and Valentin in the paper "Computational coverage of TLG:
Nonlinearity" considered an extension of the Lambek calculus enriched by a
so-called "exponential" modality. This modality behaves in the "relevant"
style, that is, it allows contraction and permutation, but not weakening.
Morrill and Valentin stated an ... | computer science |
34,354 | LIA-RAG: a system based on graphs and divergence of probabilities
applied to Speech-To-Text Summarization | cs.CL | This paper aims to introduces a new algorithm for automatic speech-to-text
summarization based on statistical divergences of probabilities and graphs. The
input is a text from speech conversations with noise, and the output a compact
text summary. Our results, on the pilot task CCCS Multiling 2015 French corpus
are ver... | computer science |
34,355 | Co-Occurrence Patterns in the Voynich Manuscript | cs.CL | The Voynich Manuscript is a medieval book written in an unknown script. This
paper studies the distribution of similarly spelled words in the Voynich
Manuscript. It shows that the distribution of words within the manuscript is
not compatible with natural languages. | computer science |
34,356 | Extracting Keyword for Disambiguating Name Based on the Overlap
Principle | cs.IR | Name disambiguation has become one of the main themes in the Semantic Web
agenda. The semantic web is an extension of the current Web in which
information is not only given well-defined meaning, but also has many purposes
that contain the ambiguous naturally or a lot of thing came with the overlap,
mainly deals with th... | computer science |
34,357 | WASSUP? LOL : Characterizing Out-of-Vocabulary Words in Twitter | cs.CL | Language in social media is mostly driven by new words and spellings that are
constantly entering the lexicon thereby polluting it and resulting in high
deviation from the formal written version. The primary entities of such
language are the out-of-vocabulary (OOV) words. In this paper, we study various
sociolinguistic... | computer science |
34,358 | "Draw My Topics": Find Desired Topics fast from large scale of Corpus | cs.CL | We develop the "Draw My Topics" toolkit, which provides a fast way to
incorporate social scientists' interest into standard topic modelling. Instead
of using raw corpus with primitive processing as input, an algorithm based on
Vector Space Model and Conditional Entropy are used to connect social
scientists' willingness... | computer science |
34,359 | Utilização de Grafos e Matriz de Similaridade na Sumarização
Automática de Documentos Baseada em Extração de Frases | cs.CL | The internet increased the amount of information available. However, the
reading and understanding of this information are costly tasks. In this
scenario, the Natural Language Processing (NLP) applications enable very
important solutions, highlighting the Automatic Text Summarization (ATS), which
produce a summary from... | computer science |
34,360 | Mining Software Quality from Software Reviews: Research Trends and Open
Issues | cs.CL | Software review text fragments have considerably valuable information about
users experience. It includes a huge set of properties including the software
quality. Opinion mining or sentiment analysis is concerned with analyzing
textual user judgments. The application of sentiment analysis on software
reviews can find a... | computer science |
34,361 | Knowledge Transfer with Medical Language Embeddings | cs.CL | Identifying relationships between concepts is a key aspect of scientific
knowledge synthesis. Finding these links often requires a researcher to
laboriously search through scien- tific papers and databases, as the size of
these resources grows ever larger. In this paper we describe how distributional
semantics can be u... | computer science |
34,362 | Variations of the Similarity Function of TextRank for Automated
Summarization | cs.CL | This article presents new alternatives to the similarity function for the
TextRank algorithm for automatic summarization of texts. We describe the
generalities of the algorithm and the different functions we propose. Some of
these variants achieve a significative improvement using the same metrics and
dataset as the or... | computer science |
34,363 | On the emergence of syntactic structures: quantifying and modelling
duality of patterning | cs.CL | The complex organization of syntax in hierarchical structures is one of the
core design features of human language. Duality of patterning refers for
instance to the organization of the meaningful elements in a language at two
distinct levels: a combinatorial level where meaningless forms are combined
into meaningful fo... | computer science |
34,364 | An Empirical Study on Academic Commentary and Its Implications on
Reading and Writing | cs.CY | The relationship between reading and writing (RRW) is one of the major themes
in learning science. One of its obstacles is that it is difficult to define or
measure the latent background knowledge of the individual. However, in an
academic research setting, scholars are required to explicitly list their
background know... | computer science |
34,365 | Complex Networks of Words in Fables | cs.CL | In this chapter we give an overview of the application of complex network
theory to quantify some properties of language. Our study is based on two
fables in Ukrainian, Mykyta the Fox and Abu-Kasym's slippers. It consists of
two parts: the analysis of frequency-rank distributions of words and the
application of complex... | computer science |
34,366 | Overview of Annotation Creation: Processes & Tools | cs.CL | Creating linguistic annotations requires more than just a reliable annotation
scheme. Annotation can be a complex endeavour potentially involving many
people, stages, and tools. This chapter outlines the process of creating
end-to-end linguistic annotations, identifying specific tasks that researchers
often perform. Be... | computer science |
34,367 | Temporal Network Analysis of Literary Texts | cs.CL | We study temporal networks of characters in literature focusing on "Alice's
Adventures in Wonderland" (1865) by Lewis Carroll and the anonymous "La Chanson
de Roland" (around 1100). The former, one of the most influential pieces of
nonsense literature ever written, describes the adventures of Alice in a
fantasy world w... | computer science |
34,368 | Improved Accent Classification Combining Phonetic Vowels with Acoustic
Features | cs.SD | Researches have shown accent classification can be improved by integrating
semantic information into pure acoustic approach. In this work, we combine
phonetic knowledge, such as vowels, with enhanced acoustic features to build an
improved accent classification system. The classifier is based on Gaussian
Mixture Model-U... | computer science |
34,369 | From quantum foundations via natural language meaning to a theory of
everything | cs.CL | In this paper we argue for a paradigmatic shift from `reductionism' to
`togetherness'. In particular, we show how interaction between systems in
quantum theory naturally carries over to modelling how word meanings interact
in natural language. Since meaning in natural language, depending on the
subject domain, encompas... | computer science |
34,370 | Optimizing the Learning Order of Chinese Characters Using a Novel
Topological Sort Algorithm | cs.CL | We present a novel algorithm for optimizing the order in which Chinese
characters are learned, one that incorporates the benefits of learning them in
order of usage frequency and in order of their hierarchal structural
relationships. We show that our work outperforms previously published orders
and algorithms. Our algo... | computer science |
34,371 | Event Search and Analytics: Detecting Events in Semantically Annotated
Corpora for Search and Analytics | cs.IR | In this article, I present the questions that I seek to answer in my PhD
research. I posit to analyze natural language text with the help of semantic
annotations and mine important events for navigating large text corpora.
Semantic annotations such as named entities, geographic locations, and temporal
expressions can h... | computer science |
34,372 | Optimized Polynomial Evaluation with Semantic Annotations | cs.PL | In this paper we discuss how semantic annotations can be used to introduce
mathematical algorithmic information of the underlying imperative code to
enable compilers to produce code transformations that will enable better
performance. By using this approaches not only good performance is achieved,
but also better progr... | computer science |
34,373 | Semi-Automatic Data Annotation, POS Tagging and Mildly Context-Sensitive
Disambiguation: the eXtended Revised AraMorph (XRAM) | cs.CL | An extended, revised form of Tim Buckwalter's Arabic lexical and
morphological resource AraMorph, eXtended Revised AraMorph (henceforth XRAM),
is presented which addresses a number of weaknesses and inconsistencies of the
original model by allowing a wider coverage of real-world Classical and
contemporary (both formal ... | computer science |
34,374 | A matter of words: NLP for quality evaluation of Wikipedia medical
articles | cs.IR | Automatic quality evaluation of Web information is a task with many fields of
applications and of great relevance, especially in critical domains like the
medical one. We move from the intuition that the quality of content of medical
Web documents is affected by features related with the specific domain. First,
the usa... | computer science |
34,375 | Part-of-Speech Tagging for Historical English | cs.CL | As more historical texts are digitized, there is interest in applying natural
language processing tools to these archives. However, the performance of these
tools is often unsatisfactory, due to language change and genre differences.
Spelling normalization heuristics are the dominant solution for dealing with
historica... | computer science |
34,376 | Zipf's law emerges asymptotically during phase transitions in
communicative systems | cs.CL | Zipf's law predicts a power-law relationship between word rank and frequency
in language communication systems, and is widely reported in texts yet remains
enigmatic as to its origins. Computer simulations have shown that language
communication systems emerge at an abrupt phase transition in the fidelity of
mappings be... | computer science |
34,377 | A short proof that $O_2$ is an MCFL | cs.FL | We present a new proof that $O_2$ is a multiple context-free language. It
contrasts with a recent proof by Salvati (2015) in its avoidance of concepts
that seem specific to two-dimensional geometry, such as the complex exponential
function. Our simple proof creates realistic prospects of widening the results
to higher ... | computer science |
34,378 | Self-organization of vocabularies under different interaction orders | cs.CL | Traditionally, the formation of vocabularies has been studied by agent-based
models (specially, the Naming Game) in which random pairs of agents negotiate
word-meaning associations at each discrete time step. This paper proposes a
first approximation to a novel question: To what extent the negotiation of
word-meaning a... | computer science |
34,379 | Modeling self-organization of vocabularies under phonological similarity
effects | cs.CL | This work develops a computational model (by Automata Networks) of
phonological similarity effects involved in the formation of word-meaning
associations on artificial populations of speakers. Classical studies show that
in recalling experiments memory performance was impaired for phonologically
similar words versus di... | computer science |
34,380 | Enabling Cognitive Intelligence Queries in Relational Databases using
Low-dimensional Word Embeddings | cs.CL | We apply distributed language embedding methods from Natural Language
Processing to assign a vector to each database entity associated token (for
example, a token may be a word occurring in a table row, or the name of a
column). These vectors, of typical dimension 200, capture the meaning of tokens
based on the context... | computer science |
34,381 | Measuring Book Impact Based on the Multi-granularity Online Review
Mining | cs.DL | As with articles and journals, the customary methods for measuring books'
academic impact mainly involve citations, which is easy but limited to
interrogating traditional citation databases and scholarly book reviews,
Researchers have attempted to use other metrics, such as Google Books,
libcitation, and publisher pres... | computer science |
34,382 | Towards an Automated Requirements-driven Development of Smart
Cyber-Physical Systems | cs.SE | The Invariant Refinement Method for Self Adaptation (IRM-SA) is a design
method targeting development of smart Cyber-Physical Systems (sCPS). It allows
for a systematic translation of the system requirements into the system
architecture expressed as an ensemble-based component system (EBCS). However,
since the requirem... | computer science |
34,383 | Shirtless and Dangerous: Quantifying Linguistic Signals of Gender Bias
in an Online Fiction Writing Community | cs.CL | Imagine a princess asleep in a castle, waiting for her prince to slay the
dragon and rescue her. Tales like the famous Sleeping Beauty clearly divide up
gender roles. But what about more modern stories, borne of a generation
increasingly aware of social constructs like sexism and racism? Do these
stories tend to reinfo... | computer science |
34,384 | Parallels of human language in the behavior of bottlenose dolphins | cs.CL | A short review of similarities between dolphins and humans with the help of
quantitative linguistics and information theory. | computer science |
34,385 | Grammatical Case Based IS-A Relation Extraction with Boosting for Polish | cs.CL | Pattern-based methods of IS-A relation extraction rely heavily on so called
Hearst patterns. These are ways of expressing instance enumerations of a class
in natural language. While these lexico-syntactic patterns prove quite useful,
they may not capture all taxonomical relations expressed in text. Therefore in
this pa... | computer science |
34,386 | The Yahoo Query Treebank, V. 1.0 | cs.CL | A description and annotation guidelines for the Yahoo Webscope release of
Query Treebank, Version 1.0, May 2016. | computer science |
34,387 | Different approaches for identifying important concepts in probabilistic
biomedical text summarization | cs.CL | Automatic text summarization tools help users in biomedical domain to acquire
their intended information from various textual resources more efficiently.
Some of the biomedical text summarization systems put the basis of their
sentence selection approach on the frequency of concepts extracted from the
input text. Howev... | computer science |
34,388 | Sensorimotor Input as a Language Generalisation Tool: A Neurorobotics
Model for Generation and Generalisation of Noun-Verb Combinations with
Sensorimotor Inputs | cs.RO | The paper presents a neurorobotics cognitive model to explain the
understanding and generalisation of nouns and verbs combinations when a vocal
command consisting of a verb-noun sentence is provided to a humanoid robot.
This generalisation process is done via the grounding process: different
objects are being interacte... | computer science |
34,389 | Tweet Acts: A Speech Act Classifier for Twitter | cs.CL | Speech acts are a way to conceptualize speech as action. This holds true for
communication on any platform, including social media platforms such as
Twitter. In this paper, we explored speech act recognition on Twitter by
treating it as a multi-class classification problem. We created a taxonomy of
six speech acts for ... | computer science |
34,390 | Textual Paralanguage and its Implications for Marketing Communications | cs.CL | Both face-to-face communication and communication in online environments
convey information beyond the actual verbal message. In a traditional
face-to-face conversation, paralanguage, or the ancillary meaning- and
emotion-laden aspects of speech that are not actual verbal prose, gives
contextual information that allows... | computer science |
34,391 | Classifying discourse in a CSCL platform to evaluate correlations with
Teacher Participation and Progress | cs.CY | In Computer-Supported learning, monitoring and engaging a group of learners
is a complex task for teachers, especially when learners are working
collaboratively: Are my students motivated? What kind of progress are they
making? Should I intervene? Is my communication and the didactic design adapted
to my students? Our ... | computer science |
34,392 | SS4MCT: A Statistical Stemmer for Morphologically Complex Texts | cs.IR | There have been multiple attempts to resolve various inflection matching
problems in information retrieval. Stemming is a common approach to this end.
Among many techniques for stemming, statistical stemming has been shown to be
effective in a number of languages, particularly highly inflected languages. In
this paper ... | computer science |
34,393 | Query Expansion with Locally-Trained Word Embeddings | cs.IR | Continuous space word embeddings have received a great deal of attention in
the natural language processing and machine learning communities for their
ability to model term similarity and other relationships. We study the use of
term relatedness in the context of query expansion for ad hoc information
retrieval. We dem... | computer science |
34,394 | An Attentional Neural Conversation Model with Improved Specificity | cs.CL | In this paper we propose a neural conversation model for conducting
dialogues. We demonstrate the use of this model to generate help desk
responses, where users are asking questions about PC applications. Our model is
distinguished by two characteristics. First, it models intention across turns
with a recurrent network... | computer science |
34,395 | Proof nets for the Displacement calculus | cs.LO | We present a proof net calculus for the Displacement calculus and show its
correctness. This is the first proof net calculus which models the Displacement
calculus directly and not by some sort of translation into another formalism.
The proof net calculus opens up new possibilities for parsing and proof search
with the... | computer science |
34,396 | Large scale biomedical texts classification: a kNN and an ESA-based
approaches | cs.IR | With the large and increasing volume of textual data, automated methods for
identifying significant topics to classify textual documents have received a
growing interest. While many efforts have been made in this direction, it still
remains a real challenge. Moreover, the issue is even more complex as full
texts are no... | computer science |
34,397 | Using Fuzzy Logic to Leverage HTML Markup for Web Page Representation | cs.IR | The selection of a suitable document representation approach plays a crucial
role in the performance of a document clustering task. Being able to pick out
representative words within a document can lead to substantial improvements in
document clustering. In the case of web documents, the HTML markup that defines
the la... | computer science |
34,398 | Bidirectional Long-Short Term Memory for Video Description | cs.MM | Video captioning has been attracting broad research attention in multimedia
community. However, most existing approaches either ignore temporal information
among video frames or just employ local contextual temporal knowledge. In this
work, we propose a novel video captioning framework, termed as
\emph{Bidirectional Lo... | computer science |
34,399 | Constitutional Precedent of Amicus Briefs | cs.CL | We investigate shared language between U.S. Supreme Court majority opinions
and interest groups' corresponding amicus briefs. Specifically, we evaluate
whether language that originated in an amicus brief acquired legal precedent
status by being cited in the Court's opinion. Using plagiarism detection
software, automate... | computer science |
34,400 | Gender Inference using Statistical Name Characteristics in Twitter | cs.CL | Much attention has been given to the task of gender inference of Twitter
users. Although names are strong gender indicators, the names of Twitter users
are rarely used as a feature; probably due to the high number of ill-formed
names, which cannot be found in any name dictionary. Instead of relying solely
on a name dat... | computer science |
34,401 | DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using
Character and Word-Level CNNs | cs.CL | This paper describes our approach for the Detecting Stance in Tweets task
(SemEval-2016 Task 6). We utilized recent advances in short text categorization
using deep learning to create word-level and character-level models. The choice
between word-level and character-level models in each particular case was
informed thr... | computer science |
34,402 | Fast, Compact, and High Quality LSTM-RNN Based Statistical Parametric
Speech Synthesizers for Mobile Devices | cs.SD | Acoustic models based on long short-term memory recurrent neural networks
(LSTM-RNNs) were applied to statistical parametric speech synthesis (SPSS) and
showed significant improvements in naturalness and latency over those based on
hidden Markov models (HMMs). This paper describes further optimizations of
LSTM-RNN-base... | computer science |
34,403 | Uncertainty in Neural Network Word Embedding: Exploration of Threshold
for Similarity | cs.CL | Word embedding, specially with its recent developments, promises a
quantification of the similarity between terms. However, it is not clear to
which extent this similarity value can be genuinely meaningful and useful for
subsequent tasks. We explore how the similarity score obtained from the models
is really indicative... | computer science |
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