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34,504 | Quantitative Entropy Study of Language Complexity | cs.CL | We study the entropy of Chinese and English texts, based on characters in
case of Chinese texts and based on words for both languages. Significant
differences are found between the languages and between different personal
styles of debating partners. The entropy analysis points in the direction of
lower entropy, that i... | computer science |
34,505 | The Role of Word Length in Semantic Topology | cs.CL | A topological argument is presented concering the structure of semantic
space, based on the negative correlation between polysemy and word length. The
resulting graph structure is applied to the modeling of free-recall
experiments, resulting in predictions on the comparative values of recall
probabilities. Associative ... | computer science |
34,506 | Interpreting the Syntactic and Social Elements of the Tweet
Representations via Elementary Property Prediction Tasks | cs.CL | Research in social media analysis is experiencing a recent surge with a large
number of works applying representation learning models to solve high-level
syntactico-semantic tasks such as sentiment analysis, semantic textual
similarity computation, hashtag prediction and so on. Although the performance
of the represent... | computer science |
34,507 | Visualizing Linguistic Shift | cs.CL | Neural network based models are a very powerful tool for creating word
embeddings, the objective of these models is to group similar words together.
These embeddings have been used as features to improve results in various
applications such as document classification, named entity recognition, etc.
Neural language mode... | computer science |
34,508 | Ontology Driven Disease Incidence Detection on Twitter | cs.CL | In this work we address the issue of generic automated disease incidence
monitoring on twitter. We employ an ontology of disease related concepts and
use it to obtain a conceptual representation of tweets. Unlike previous key
word based systems and topic modeling approaches, our ontological approach
allows us to apply ... | computer science |
34,509 | User Personalized Satisfaction Prediction via Multiple Instance Deep
Learning | cs.IR | Community based question answering services have arisen as a popular
knowledge sharing pattern for netizens. With abundant interactions among users,
individuals are capable of obtaining satisfactory information. However, it is
not effective for users to attain answers within minutes. Users have to check
the progress ov... | computer science |
34,510 | Question Retrieval for Community-based Question Answering via
Heterogeneous Network Integration Learning | cs.IR | Community based question answering platforms have attracted substantial users
to share knowledge and learn from each other. As the rapid enlargement of CQA
platforms, quantities of overlapped questions emerge, which makes users
confounded to select a proper reference. It is urgent for us to take effective
automated alg... | computer science |
34,511 | The polysemy of the words that children learn over time | cs.CL | Here we study polysemy as a potential learning bias in vocabulary learning in
children. We employ a massive set of transcriptions of conversations between
children and adults in English, to analyze the evolution of mean polysemy in
the words produced by children whose ages range between 10 and 60 months. Our
results sh... | computer science |
34,512 | A theory of interpretive clustering in free recall | cs.CL | A stochastic model of short-term verbal memory is proposed, in which the
psychological state of the subject is encoded as the instantaneous position of
a particle diffusing over a semantic graph with a probabilistic structure. The
model is particularly suitable for studying the dependence of free-recall
observables on ... | computer science |
34,513 | Statistical Properties of European Languages and Voynich Manuscript
Analysis | stat.AP | The statistical properties of letters frequencies in European literature
texts are investigated. The determination of logarithmic dependence of letters
sequence for one-language and two-language texts are examined. The pare of
languages is suggested for Voynich Manuscript. The internal structure of
Manuscript is consid... | computer science |
34,514 | Joint Copying and Restricted Generation for Paraphrase | cs.CL | Many natural language generation tasks, such as abstractive summarization and
text simplification, are paraphrase-orientated. In these tasks, copying and
rewriting are two main writing modes. Most previous sequence-to-sequence
(Seq2Seq) models use a single decoder and neglect this fact. In this paper, we
develop a nove... | computer science |
34,515 | Improving Multi-Document Summarization via Text Classification | cs.CL | Developed so far, multi-document summarization has reached its bottleneck due
to the lack of sufficient training data and diverse categories of documents.
Text classification just makes up for these deficiencies. In this paper, we
propose a novel summarization system called TCSum, which leverages plentiful
text classif... | computer science |
34,516 | MS MARCO: A Human Generated MAchine Reading COmprehension Dataset | cs.CL | This paper presents our recent work on the design and development of a new,
large scale dataset, which we name MS MARCO, for MAchine Reading
COmprehension.This new dataset is aimed to overcome a number of well-known
weaknesses of previous publicly available datasets for the same task of reading
comprehension and questi... | computer science |
34,517 | Sentiment Analysis for Twitter : Going Beyond Tweet Text | cs.CL | Analysing sentiment of tweets is important as it helps to determine the
users' opinion. Knowing people's opinion is crucial for several purposes
starting from gathering knowledge about customer base, e-governance,
campaigning and many more. In this report, we aim to develop a system to detect
the sentiment from tweets.... | computer science |
34,518 | Self-Taught Convolutional Neural Networks for Short Text Clustering | cs.IR | Short text clustering is a challenging problem due to its sparseness of text
representation. Here we propose a flexible Self-Taught Convolutional neural
network framework for Short Text Clustering (dubbed STC^2), which can flexibly
and successfully incorporate more useful semantic features and learn non-biased
deep tex... | computer science |
34,519 | Pyndri: a Python Interface to the Indri Search Engine | cs.IR | We introduce pyndri, a Python interface to the Indri search engine. Pyndri
allows to access Indri indexes from Python at two levels: (1) dictionary and
tokenized document collection, (2) evaluating queries on the index. We hope
that with the release of pyndri, we will stimulate reproducible, open and
fast-paced IR rese... | computer science |
34,520 | World Literature According to Wikipedia: Introduction to a DBpedia-Based
Framework | cs.IR | Among the manifold takes on world literature, it is our goal to contribute to
the discussion from a digital point of view by analyzing the representation of
world literature in Wikipedia with its millions of articles in hundreds of
languages. As a preliminary, we introduce and compare three different
approaches to iden... | computer science |
34,521 | Exploration of Proximity Heuristics in Length Normalization | cs.IR | Ranking functions used in information retrieval are primarily used in the
search engines and they are often adopted for various language processing
applications. However, features used in the construction of ranking functions
should be analyzed before applying it on a data set. This paper gives
guidelines on constructi... | computer science |
34,522 | Crowdsourcing Ground Truth for Medical Relation Extraction | cs.CL | Cognitive computing systems require human labeled data for evaluation, and
often for training. The standard practice used in gathering this data minimizes
disagreement between annotators, and we have found this results in data that
fails to account for the ambiguity inherent in language. We have proposed the
CrowdTruth... | computer science |
34,523 | Decoding with Finite-State Transducers on GPUs | cs.CL | Weighted finite automata and transducers (including hidden Markov models and
conditional random fields) are widely used in natural language processing (NLP)
to perform tasks such as morphological analysis, part-of-speech tagging,
chunking, named entity recognition, speech recognition, and others.
Parallelizing finite s... | computer science |
34,524 | Scalable, Trie-based Approximate Entity Extraction for Real-Time
Financial Transaction Screening | cs.CL | Financial institutions have to screen their transactions to ensure that they
are not affiliated with terrorism entities. Developing appropriate solutions to
detect such affiliations precisely while avoiding any kind of interruption to
large amount of legitimate transactions is essential. In this paper, we present
build... | computer science |
34,525 | Balancing Novelty and Salience: Adaptive Learning to Rank Entities for
Timeline Summarization of High-impact Events | cs.IR | Long-running, high-impact events such as the Boston Marathon bombing often
develop through many stages and involve a large number of entities in their
unfolding. Timeline summarization of an event by key sentences eases story
digestion, but does not distinguish between what a user remembers and what she
might want to r... | computer science |
34,526 | The Birth of Collective Memories: Analyzing Emerging Entities in Text
Streams | cs.IR | We study how collective memories are formed online. We do so by tracking
entities that emerge in public discourse, that is, in online text streams such
as social media and news streams, before they are incorporated into Wikipedia,
which, we argue, can be viewed as an online place for collective memory. By
tracking how ... | computer science |
34,527 | Semantic classifier approach to document classification | cs.IR | In this paper we propose a new document classification method, bridging
discrepancies (so-called semantic gap) between the training set and the
application sets of textual data. We demonstrate its superiority over classical
text classification approaches, including traditional classifier ensembles. The
method consists ... | computer science |
34,528 | Community Question Answering Platforms vs. Twitter for Predicting
Characteristics of Urban Neighbourhoods | cs.CL | In this paper, we investigate whether text from a Community Question
Answering (QA) platform can be used to predict and describe real-world
attributes. We experiment with predicting a wide range of 62 demographic
attributes for neighbourhoods of London. We use the text from QA platform of
Yahoo! Answers and compare our... | computer science |
34,529 | Match-Tensor: a Deep Relevance Model for Search | cs.IR | The application of Deep Neural Networks for ranking in search engines may
obviate the need for the extensive feature engineering common to current
learning-to-rank methods. However, we show that combining simple relevance
matching features like BM25 with existing Deep Neural Net models often
substantially improves the ... | computer science |
34,530 | Statistical Analysis on Bangla Newspaper Data to Extract Trending Topic
and Visualize Its Change Over Time | cs.IR | Trending topic of newspapers is an indicator to understand the situation of a
country and also a way to evaluate the particular newspaper. This paper
represents a model describing few techniques to select trending topics from
Bangla Newspaper. Topics that are discussed more frequently than other in
Bangla newspaper wil... | computer science |
34,531 | A Comprehensive Survey on Bengali Phoneme Recognition | cs.SD | Hidden Markov model based various phoneme recognition methods for Bengali
language is reviewed. Automatic phoneme recognition for Bengali language using
multilayer neural network is reviewed. Usefulness of multilayer neural network
over single layer neural network is discussed. Bangla phonetic feature table
constructio... | computer science |
34,532 | KU-ISPL Speaker Recognition Systems under Language mismatch condition
for NIST 2016 Speaker Recognition Evaluation | cs.SD | Korea University Intelligent Signal Processing Lab. (KU-ISPL) developed
speaker recognition system for SRE16 fixed training condition. Data for
evaluation trials are collected from outside North America, spoken in Tagalog
and Cantonese while training data only is spoken English. Thus, main issue for
SRE16 is compensati... | computer science |
34,533 | Insights into Entity Name Evolution on Wikipedia | cs.CL | Working with Web archives raises a number of issues caused by their temporal
characteristics. Depending on the age of the content, additional knowledge
might be needed to find and understand older texts. Especially facts about
entities are subject to change. Most severe in terms of information retrieval
are name change... | computer science |
34,534 | Named Entity Evolution Analysis on Wikipedia | cs.CL | Accessing Web archives raises a number of issues caused by their temporal
characteristics. Additional knowledge is needed to find and understand older
texts. Especially entities mentioned in texts are subject to change. Most
severe in terms of information retrieval are name changes. In order to find
entities that have ... | computer science |
34,535 | Extraction of Evolution Descriptions from the Web | cs.CL | The evolution of named entities affects exploration and retrieval tasks in
digital libraries. An information retrieval system that is aware of name
changes can actively support users in finding former occurrences of evolved
entities. However, current structured knowledge bases, such as DBpedia or
Freebase, do not provi... | computer science |
34,536 | Named Entity Evolution Recognition on the Blogosphere | cs.CL | Advancements in technology and culture lead to changes in our language. These
changes create a gap between the language known by users and the language
stored in digital archives. It affects user's possibility to firstly find
content and secondly interpret that content. In previous work we introduced our
approach for N... | computer science |
34,537 | Effects of Stop Words Elimination for Arabic Information Retrieval: A
Comparative Study | cs.CL | The effectiveness of three stop words lists for Arabic Information
Retrieval---General Stoplist, Corpus-Based Stoplist, Combined Stoplist ---were
investigated in this study. Three popular weighting schemes were examined: the
inverse document frequency weight, probabilistic weighting, and statistical
language modelling.... | computer science |
34,538 | Challenges in Providing Automatic Affective Feedback in Instant
Messaging Applications | cs.CL | Instant messaging is one of the major channels of computer mediated
communication. However, humans are known to be very limited in understanding
others' emotions via text-based communication. Aiming on introducing emotion
sensing technologies to instant messaging, we developed EmotionPush, a system
that automatically d... | computer science |
34,539 | Mining User/Movie Preferred Features Based on Reviews for Video
Recommendation System | cs.IR | In this work, we present an approach for mining user preferences and
recommendation based on reviews. There have been various studies worked on
recommendation problem. However, most of the studies beyond one aspect user
generated- content such as user ratings, user feedback and so on to state user
preferences. There is... | computer science |
34,540 | soc2seq: Social Embedding meets Conversation Model | cs.SI | While liking or upvoting a post on a mobile app is easy to do, replying with
a written note is much more difficult, due to both the cognitive load of coming
up with a meaningful response as well as the mechanics of entering the text.
Here we present a novel textual reply generation model that goes beyond the
current au... | computer science |
34,541 | Systèmes du LIA à DEFT'13 | cs.CL | The 2013 D\'efi de Fouille de Textes (DEFT) campaign is interested in two
types of language analysis tasks, the document classification and the
information extraction in the specialized domain of cuisine recipes. We present
the systems that the LIA has used in DEFT 2013. Our systems show interesting
results, even thoug... | computer science |
34,542 | Algorithmes de classification et d'optimisation: participation du
LIA/ADOC á DEFT'14 | cs.IR | This year, the DEFT campaign (D\'efi Fouilles de Textes) incorporates a task
which aims at identifying the session in which articles of previous TALN
conferences were presented. We describe the three statistical systems developed
at LIA/ADOC for this task. A fusion of these systems enables us to obtain
interesting resu... | computer science |
34,543 | Guided Deep List: Automating the Generation of Epidemiological Line
Lists from Open Sources | cs.CL | Real-time monitoring and responses to emerging public health threats rely on
the availability of timely surveillance data. During the early stages of an
epidemic, the ready availability of line lists with detailed tabular
information about laboratory-confirmed cases can assist epidemiologists in
making reliable inferen... | computer science |
34,544 | Pronunciation recognition of English phonemes /\textipa{@}/, /æ/,
/\textipa{A}:/ and /\textipa{2}/ using Formants and Mel Frequency Cepstral
Coefficients | cs.CL | The Vocal Joystick Vowel Corpus, by Washington University, was used to study
monophthongs pronounced by native English speakers. The objective of this study
was to quantitatively measure the extent at which speech recognition methods
can distinguish between similar sounding vowels. In particular, the phonemes
/\textipa... | computer science |
34,545 | A Neural Attention Model for Categorizing Patient Safety Events | cs.CL | Medical errors are leading causes of death in the US and as such, prevention
of these errors is paramount to promoting health care. Patient Safety Event
reports are narratives describing potential adverse events to the patients and
are important in identifying and preventing medical errors. We present a neural
network ... | computer science |
34,546 | Political Homophily in Independence Movements: Analysing and Classifying
Social Media Users by National Identity | cs.CL | Social media and data mining are increasingly being used to analyse political
and societal issues. Here we undertake the classification of social media users
as supporting or opposing ongoing independence movements in their territories.
Independence movements occur in territories whose citizens have conflicting
nationa... | computer science |
34,547 | Frequency patterns of semantic change: Corpus-based evidence of a
near-critical dynamics in language change | cs.CL | It is generally believed that, when a linguistic item acquires a new meaning,
its overall frequency of use in the language rises with time with an S-shaped
growth curve. Yet, this claim has only been supported by a limited number of
case studies. In this paper, we provide the first corpus-based quantitative
confirmatio... | computer science |
34,548 | Scattertext: a Browser-Based Tool for Visualizing how Corpora Differ | cs.CL | Scattertext is an open source tool for visualizing linguistic variation
between document categories in a language-independent way. The tool presents a
scatterplot, where each axis corresponds to the rank-frequency a term occurs in
a category of documents. Through a tie-breaking strategy, the tool is able to
display tho... | computer science |
34,549 | Spice up Your Chat: The Intentions and Sentiment Effects of Using Emoji | cs.CL | Emojis, as a new way of conveying nonverbal cues, are widely adopted in
computer-mediated communications. In this paper, first from a message sender
perspective, we focus on people's motives in using four types of emojis --
positive, neutral, negative, and non-facial. We compare the willingness levels
of using these em... | computer science |
34,550 | Loyalty in Online Communities | cs.SI | Loyalty is an essential component of multi-community engagement. When users
have the choice to engage with a variety of different communities, they often
become loyal to just one, focusing on that community at the expense of others.
However, it is unclear how loyalty is manifested in user behavior, or whether
loyalty i... | computer science |
34,551 | The cognitive roots of regularization in language | cs.CL | Regularization occurs when the output a learner produces is less variable
than the linguistic data they observed. In an artificial language learning
experiment, we show that there exist at least two independent sources of
regularization bias in cognition: a domain-general source based on cognitive
load and a domain-spe... | computer science |
34,552 | A German Corpus for Text Similarity Detection Tasks | cs.IR | Text similarity detection aims at measuring the degree of similarity between
a pair of texts. Corpora available for text similarity detection are designed
to evaluate the algorithms to assess the paraphrase level among documents. In
this paper we present a textual German corpus for similarity detection. The
purpose of ... | computer science |
34,553 | Language Use Matters: Analysis of the Linguistic Structure of Question
Texts Can Characterize Answerability in Quora | cs.CL | Quora is one of the most popular community Q&A sites of recent times.
However, many question posts on this Q&A site often do not get answered. In
this paper, we quantify various linguistic activities that discriminates an
answered question from an unanswered one. Our central finding is that the way
users use language w... | computer science |
34,554 | DeepFM: A Factorization-Machine based Neural Network for CTR Prediction | cs.IR | Learning sophisticated feature interactions behind user behaviors is critical
in maximizing CTR for recommender systems. Despite great progress, existing
methods seem to have a strong bias towards low- or high-order interactions, or
require expertise feature engineering. In this paper, we show that it is
possible to de... | computer science |
34,555 | A Visual Representation of Wittgenstein's Tractatus Logico-Philosophicus | cs.IR | In this paper we present a data visualization method together with its
potential usefulness in digital humanities and philosophy of language. We
compile a multilingual parallel corpus from different versions of
Wittgenstein's Tractatus Logico-Philosophicus, including the original in German
and translations into English... | computer science |
34,556 | El Lenguaje Natural como Lenguaje Formal | cs.CL | Formal languages theory is useful for the study of natural language. In
particular, it is of interest to study the adequacy of the grammatical
formalisms to express syntactic phenomena present in natural language. First,
it helps to draw hypothesis about the nature and complexity of the
speaker-hearer linguistic compet... | computer science |
34,557 | Normalisation de la langue et de lecriture arabe : enjeux culturels
regionaux et mondiaux | cs.CY | Arabic language and writing are now facing a resurgence of international
normative solutions that challenge most of their local or network based
operating principles. Even if the multilingual digital coding solutions,
especially those proposed by Unicode, have solved many difficulties of Arabic
writing, the linguistic ... | computer science |
34,558 | Multichannel End-to-end Speech Recognition | cs.SD | The field of speech recognition is in the midst of a paradigm shift:
end-to-end neural networks are challenging the dominance of hidden Markov
models as a core technology. Using an attention mechanism in a recurrent
encoder-decoder architecture solves the dynamic time alignment problem,
allowing joint end-to-end traini... | computer science |
34,559 | Distributed-Representation Based Hybrid Recommender System with Short
Item Descriptions | cs.IR | Collaborative filtering (CF) aims to build a model from users' past behaviors
and/or similar decisions made by other users, and use the model to recommend
items for users. Despite of the success of previous collaborative filtering
approaches, they are all based on the assumption that there are sufficient
rating scores ... | computer science |
34,560 | Ensemble of Neural Classifiers for Scoring Knowledge Base Triples | cs.CL | This paper describes our approach for the triple scoring task at the WSDM Cup
2017. The task required participants to assign a relevance score for each pair
of entities and their types in a knowledge base in order to enhance the ranking
results in entity retrieval tasks. We propose an approach wherein the outputs
of mu... | computer science |
34,561 | Character-based Neural Embeddings for Tweet Clustering | cs.IR | In this paper we show how the performance of tweet clustering can be improved
by leveraging character-based neural networks. The proposed approach overcomes
the limitations related to the vocabulary explosion in the word-based models
and allows for the seamless processing of the multilingual content. Our
evaluation res... | computer science |
34,562 | Improving Document Clustering by Eliminating Unnatural Language | cs.IR | Technical documents contain a fair amount of unnatural language, such as
tables, formulas, pseudo-codes, etc. Unnatural language can be an important
factor of confusing existing NLP tools. This paper presents an effective method
of distinguishing unnatural language from natural language, and evaluates the
impact of unn... | computer science |
34,563 | Temporal Information Extraction for Question Answering Using Syntactic
Dependencies in an LSTM-based Architecture | cs.IR | In this paper, we propose to use a set of simple, uniform in architecture
LSTM-based models to recover different kinds of temporal relations from text.
Using the shortest dependency path between entities as input, the same
architecture is used to extract intra-sentence, cross-sentence, and document
creation time relati... | computer science |
34,564 | Automatic Text Summarization Approaches to Speed up Topic Model Learning
Process | cs.IR | The number of documents available into Internet moves each day up. For this
reason, processing this amount of information effectively and expressibly
becomes a major concern for companies and scientists. Methods that represent a
textual document by a topic representation are widely used in Information
Retrieval (IR) to... | computer science |
34,565 | Interacting Conceptual Spaces I : Grammatical Composition of Concepts | cs.LO | The categorical compositional approach to meaning has been successfully
applied in natural language processing, outperforming other models in
mainstream empirical language processing tasks. We show how this approach can
be generalized to conceptual space models of cognition. In order to do this,
first we introduce the ... | computer science |
34,566 | Interactive Natural Language Acquisition in a Multi-modal Recurrent
Neural Architecture | cs.CL | For the complex human brain that enables us to communicate in natural
language, we gathered good understandings of principles underlying language
acquisition and processing, knowledge about socio-cultural conditions, and
insights about activity patterns in the brain. However, we were not yet able to
understand the beha... | computer science |
34,567 | Bootstrapping a Lexicon for Emotional Arousal in Software Engineering | cs.SE | Emotional arousal increases activation and performance but may also lead to
burnout in software development. We present the first version of a Software
Engineering Arousal lexicon (SEA) that is specifically designed to address the
problem of emotional arousal in the software developer ecosystem. SEA is built
using a bo... | computer science |
34,568 | This Just In: Fake News Packs a Lot in Title, Uses Simpler, Repetitive
Content in Text Body, More Similar to Satire than Real News | cs.SI | The problem of fake news has gained a lot of attention as it is claimed to
have had a significant impact on 2016 US Presidential Elections. Fake news is
not a new problem and its spread in social networks is well-studied. Often an
underlying assumption in fake news discussion is that it is written to look
like real new... | computer science |
34,569 | Diving Deep into Clickbaits: Who Use Them to What Extents in Which
Topics with What Effects? | cs.SI | The use of alluring headlines (clickbait) to tempt the readers has become a
growing practice nowadays. For the sake of existence in the highly competitive
media industry, most of the on-line media including the mainstream ones, have
started following this practice. Although the wide-spread practice of clickbait
makes t... | computer science |
34,570 | A Tidy Data Model for Natural Language Processing using cleanNLP | cs.CL | The package cleanNLP provides a set of fast tools for converting a textual
corpus into a set of normalized tables. The underlying natural language
processing pipeline utilizes Stanford's CoreNLP library, exposing a number of
annotation tasks for text written in English, French, German, and Spanish.
Annotators include t... | computer science |
34,571 | A Short Review of Ethical Challenges in Clinical Natural Language
Processing | cs.CL | Clinical NLP has an immense potential in contributing to how clinical
practice will be revolutionized by the advent of large scale processing of
clinical records. However, this potential has remained largely untapped due to
slow progress primarily caused by strict data access policies for researchers.
In this paper, we... | computer science |
34,572 | Neutral evolution and turnover over centuries of English word popularity | cs.CL | Here we test Neutral models against the evolution of English word frequency
and vocabulary at the population scale, as recorded in annual word frequencies
from three centuries of English language books. Against these data, we test
both static and dynamic predictions of two neutral models, including the
relation between... | computer science |
34,573 | Opinion Mining on Non-English Short Text | cs.CL | As the type and the number of such venues increase, automated analysis of
sentiment on textual resources has become an essential data mining task. In
this paper, we investigate the problem of mining opinions on the collection of
informal short texts. Both positive and negative sentiment strength of texts
are detected. ... | computer science |
34,574 | Topic modeling of public repositories at scale using names in source
code | cs.PL | Programming languages themselves have a limited number of reserved keywords
and character based tokens that define the language specification. However,
programmers have a rich use of natural language within their code through
comments, text literals and naming entities. The programmer defined names that
can be found in... | computer science |
34,575 | Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring
Sentiment towards Brands from Financial News Headlines | cs.CL | In this paper, we describe a methodology to infer Bullish or Bearish
sentiment towards companies/brands. More specifically, our approach leverages
affective lexica and word embeddings in combination with convolutional neural
networks to infer the sentiment of financial news headlines towards a target
company. Such arch... | computer science |
34,576 | Rhetorical relations for information retrieval | cs.IR | Typically, every part in most coherent text has some plausible reason for its
presence, some function that it performs to the overall semantics of the text.
Rhetorical relations, e.g. contrast, cause, explanation, describe how the parts
of a text are linked to each other. Knowledge about this socalled discourse
structu... | computer science |
34,577 | Conceptualization Topic Modeling | cs.CL | Recently, topic modeling has been widely used to discover the abstract topics
in text corpora. Most of the existing topic models are based on the assumption
of three-layer hierarchical Bayesian structure, i.e. each document is modeled
as a probability distribution over topics, and each topic is a probability
distributi... | computer science |
34,578 | From Modal to Multimodal Ambiguities: a Classification Approach | cs.HC | This paper deals with classifying ambiguities for Multimodal Languages. It
evolves the classifications and the methods of the literature on ambiguities
for Natural Language and Visual Language, empirically defining an original
classification of ambiguities for multimodal interaction using a linguistic
perspective. This... | computer science |
34,579 | What we really want to find by Sentiment Analysis: The Relationship
between Computational Models and Psychological State | cs.CL | As the first step to model emotional state of a person, we build sentiment
analysis models with existing deep neural network algorithms and compare the
models with psychological measurements to enlighten the relationship. In the
experiments, we first examined psychological state of 64 participants and asked
them to sum... | computer science |
34,580 | PACRR: A Position-Aware Neural IR Model for Relevance Matching | cs.IR | In order to adopt deep learning for information retrieval, models are needed
that can capture all relevant information required to assess the relevance of a
document to a given user query. While previous works have successfully captured
unigram term matches, how to fully employ position-dependent information such
as pr... | computer science |
34,581 | FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity
with Financial Word Embeddings | cs.CL | This paper presents the approach developed at the Faculty of Engineering of
University of Porto, to participate in SemEval 2017, Task 5: Fine-grained
Sentiment Analysis on Financial Microblogs and News. The task consisted in
predicting a real continuous variable from -1.0 to +1.0 representing the
polarity and intensity... | computer science |
34,582 | Extractive Summarization: Limits, Compression, Generalized Model and
Heuristics | cs.CL | Due to its promise to alleviate information overload, text summarization has
attracted the attention of many researchers. However, it has remained a serious
challenge. Here, we first prove empirical limits on the recall (and F1-scores)
of extractive summarizers on the DUC datasets under ROUGE evaluation for both
the si... | computer science |
34,583 | Understanding Task Design Trade-offs in Crowdsourced Paraphrase
Collection | cs.CL | Linguistically diverse datasets are critical for training and evaluating
robust machine learning systems, but data collection is a costly process that
often requires experts. Crowdsourcing the process of paraphrase generation is
an effective means of expanding natural language datasets, but there has been
limited analy... | computer science |
34,584 | Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks
for Early Rumor Detection | cs.CL | The proliferation of social media in communication and information
dissemination has made it an ideal platform for spreading rumors. Automatically
debunking rumors at their stage of diffusion is known as \textit{early rumor
detection}, which refers to dealing with sequential posts regarding disputed
factual claims with... | computer science |
34,585 | Stability and Fluctuations in a Simple Model of Phonetic Category Change | cs.CL | In spoken languages, speakers divide up the space of phonetic possibilities
into different regions, corresponding to different phonemes. We consider a
simple exemplar model of how this division of phonetic space varies over time
among a population of language users. In the particular model we consider, we
show that, on... | computer science |
34,586 | Scientific Article Summarization Using Citation-Context and Article's
Discourse Structure | cs.CL | We propose a summarization approach for scientific articles which takes
advantage of citation-context and the document discourse model. While citations
have been previously used in generating scientific summaries, they lack the
related context from the referenced article and therefore do not accurately
reflect the arti... | computer science |
34,587 | Email Babel: Does Language Affect Criminal Activity in Compromised
Webmail Accounts? | cs.CY | We set out to understand the effects of differing language on the ability of
cybercriminals to navigate webmail accounts and locate sensitive information in
them. To this end, we configured thirty Gmail honeypot accounts with English,
Romanian, and Greek language settings. We populated the accounts with email
messages ... | computer science |
34,588 | Extending and Improving Wordnet via Unsupervised Word Embeddings | cs.CL | This work presents an unsupervised approach for improving WordNet that builds
upon recent advances in document and sense representation via distributional
semantics. We apply our methods to construct Wordnets in French and Russian,
languages which both lack good manual constructions.1 These are evaluated on
two new 600... | computer science |
34,589 | Labelled network subgraphs reveal stylistic subtleties in written texts | cs.CL | The vast amount of data and increase of computational capacity have allowed
the analysis of texts from several perspectives, including the representation
of texts as complex networks. Nodes of the network represent the words, and
edges represent some relationship, usually word co-occurrence. Even though
networked repre... | computer science |
34,590 | "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News
Detection | cs.CL | Automatic fake news detection is a challenging problem in deception
detection, and it has tremendous real-world political and social impacts.
However, statistical approaches to combating fake news has been dramatically
limited by the lack of labeled benchmark datasets. In this paper, we present
liar: a new, publicly av... | computer science |
34,591 | Combating Human Trafficking with Deep Multimodal Models | cs.CL | Human trafficking is a global epidemic affecting millions of people across
the planet. Sex trafficking, the dominant form of human trafficking, has seen a
significant rise mostly due to the abundance of escort websites, where human
traffickers can openly advertise among at-will escort advertisements. In this
paper, we ... | computer science |
34,592 | Sukiyaki in French style: A novel system for transformation of dietary
patterns | cs.CY | We propose a novel system which can transform a recipe into any selected
regional style (e.g., Japanese, Mediterranean, or Italian). This system has
three characteristics. First the system can identify the degree of dietary
style mixture of any selected recipe. Second, the system can visualize such
dietary style mixtur... | computer science |
34,593 | On the role of words in the network structure of texts: application to
authorship attribution | cs.CL | Well-established automatic analyses of texts mainly consider frequencies of
linguistic units, e.g. letters, words and bigrams, while methods based on
co-occurrence networks consider the structure of texts regardless of the nodes
label (i.e. the words semantics). In this paper, we reconcile these distinct
viewpoints by ... | computer science |
34,594 | Using Titles vs. Full-text as Source for Automated Semantic Document
Annotation | cs.DL | A significant part of the largest Knowledge Graph today, the Linked Open Data
cloud, consists of metadata about documents such as publications, news reports,
and other media articles. While the widespread access to the document metadata
is a tremendous advancement, it is yet not so easy to assign semantic
annotations a... | computer science |
34,595 | Learning to Identify Ambiguous and Misleading News Headlines | cs.CL | Accuracy is one of the basic principles of journalism. However, it is
increasingly hard to manage due to the diversity of news media. Some editors of
online news tend to use catchy headlines which trick readers into clicking.
These headlines are either ambiguous or misleading, degrading the reading
experience of the au... | computer science |
34,596 | Formalized Lambek Calculus in Higher Order Logic (HOL4) | cs.CL | In this project, a rather complete proof-theoretical formalization of Lambek
Calculus (non-associative with arbitrary extensions) has been ported from Coq
proof assistent to HOL4 theorem prover, with some improvements and new
theorems.
Three deduction systems (Syntactic Calculus, Natural Deduction and Sequent
Calculu... | computer science |
34,597 | Contextualizing Citations for Scientific Summarization using Word
Embeddings and Domain Knowledge | cs.CL | Citation texts are sometimes not very informative or in some cases inaccurate
by themselves; they need the appropriate context from the referenced paper to
reflect its exact contributions. To address this problem, we propose an
unsupervised model that uses distributed representation of words as well as
domain knowledge... | computer science |
34,598 | TwiInsight: Discovering Topics and Sentiments from Social Media Datasets | cs.IR | Social media platforms contain a great wealth of information which provides
opportunities for us to explore hidden patterns or unknown correlations, and
understand people's satisfaction with what they are discussing. As one
showcase, in this paper, we present a system, TwiInsight which explores the
insight of Twitter d... | computer science |
34,599 | Increasing Papers' Discoverability with Precise Semantic Labeling: the
sci.AI Platform | cs.IR | The number of published findings in biomedicine increases continually. At the
same time, specifics of the domain's terminology complicates the task of
relevant publications retrieval. In the current research, we investigate
influence of terms' variability and ambiguity on a paper's likelihood of being
retrieved. We obt... | computer science |
34,600 | Towards a Knowledge Graph based Speech Interface | cs.HC | Applications which use human speech as an input require a speech interface
with high recognition accuracy. The words or phrases in the recognised text are
annotated with a machine-understandable meaning and linked to knowledge graphs
for further processing by the target application. These semantic annotations of
recogn... | computer science |
34,601 | A Deep Multi-View Learning Framework for City Event Extraction from
Twitter Data Streams | cs.SI | Cities have been a thriving place for citizens over the centuries due to
their complex infrastructure. The emergence of the Cyber-Physical-Social
Systems (CPSS) and context-aware technologies boost a growing interest in
analysing, extracting and eventually understanding city events which
subsequently can be utilised to... | computer science |
34,602 | Deep Learning for Hate Speech Detection in Tweets | cs.CL | Hate speech detection on Twitter is critical for applications like
controversial event extraction, building AI chatterbots, content
recommendation, and sentiment analysis. We define this task as being able to
classify a tweet as racist, sexist or neither. The complexity of the natural
language constructs makes this tas... | computer science |
34,603 | Improving Legal Information Retrieval by Distributional Composition with
Term Order Probabilities | cs.IR | Legal professionals worldwide are currently trying to get up-to-pace with the
explosive growth in legal document availability through digital means. This
drives a need for high efficiency Legal Information Retrieval (IR) and Question
Answering (QA) methods. The IR task in particular has a set of unique
challenges that ... | computer science |
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