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34,704 | Crowdsourcing for Beyond Polarity Sentiment Analysis A Pure Emotion
Lexicon | cs.CL | Sentiment analysis aims to uncover emotions conveyed through information. In
its simplest form, it is performed on a polarity basis, where the goal is to
classify information with positive or negative emotion. Recent research has
explored more nuanced ways to capture emotions that go beyond polarity. For
these methods ... | computer science |
34,705 | Interactively Picking Real-World Objects with Unconstrained Spoken
Language Instructions | cs.RO | Comprehension of spoken natural language is an essential component for robots
to communicate with human effectively. However, handling unconstrained spoken
instructions is challenging due to (1) complex structures including a wide
variety of expressions used in spoken language and (2) inherent ambiguity in
interpretati... | computer science |
34,706 | Is space a word, too? | cs.CL | For words, rank-frequency distributions have long been heralded for adherence
to a potentially-universal phenomenon known as Zipf's law. The hypothetical
form of this empirical phenomenon was refined by Ben\^{i}ot Mandelbrot to that
which is presently referred to as the Zipf-Mandelbrot law. Parallel to this,
Herbet Sim... | computer science |
34,707 | Content Based Document Recommender using Deep Learning | cs.CL | With the recent advancements in information technology there has been a huge
surge in amount of data available. But information retrieval technology has not
been able to keep up with this pace of information generation resulting in over
spending of time for retrieving relevant information. Even though systems exist
for... | computer science |
34,708 | A Two-Level Classification Approach for Detecting Clickbait Posts using
Text-Based Features | cs.SI | The emergence of social media as news sources has led to the rise of
clickbait posts attempting to attract users to click on article links without
informing them on the actual article content. This paper presents our efforts
to create a clickbait detector inspired by fake news detection algorithms, and
our submission t... | computer science |
34,709 | Using Multi-Label Classification for Improved Question Answering | cs.IR | A plethora of diverse approaches for question answering over RDF data have
been developed in recent years. While the accuracy of these systems has
increased significantly over time, most systems still focus on particular types
of questions or particular challenges in question answering. What is a curse
for single syste... | computer science |
34,710 | Re-evaluating the need for Modelling Term-Dependence in Text
Classification Problems | cs.IR | A substantial amount of research has been carried out in developing machine
learning algorithms that account for term dependence in text classification.
These algorithms offer acceptable performance in most cases but they are
associated with a substantial cost. They require significantly greater
resources to operate. T... | computer science |
34,711 | Topic Based Sentiment Analysis Using Deep Learning | cs.CL | In this paper , we tackle Sentiment Analysis conditioned on a Topic in
Twitter data using Deep Learning . We propose a 2-tier approach : In the first
phase we create our own Word Embeddings and see that they do perform better
than state-of-the-art embeddings when used with standard classifiers. We then
perform inferenc... | computer science |
34,712 | Conceptual Text Summarizer: A new model in continuous vector space | cs.CL | Traditional methods of summarization are not cost-effective and possible
today. Extractive summarization is a process that helps to extract the most
important sentences from a text automatically and generates a short informative
summary. In this work, we propose an unsupervised method to summarize Persian
texts. This m... | computer science |
34,713 | Named Entity Recognition in Twitter using Images and Text | cs.IR | Named Entity Recognition (NER) is an important subtask of information
extraction that seeks to locate and recognise named entities. Despite recent
achievements, we still face limitations with correctly detecting and
classifying entities, prominently in short and noisy text, such as Twitter. An
important negative aspect... | computer science |
34,714 | A generalized parsing framework for Abstract Grammars | cs.CL | This technical report presents a general framework for parsing a variety of
grammar formalisms. We develop a grammar formalism, called an Abstract Grammar,
which is general enough to represent grammars at many levels of the hierarchy,
including Context Free Grammars, Minimalist Grammars, and Generalized
Context-free Gr... | computer science |
34,715 | Uncovering Latent Style Factors for Expressive Speech Synthesis | cs.CL | Prosodic modeling is a core problem in speech synthesis. The key challenge is
producing desirable prosody from textual input containing only phonetic
information. In this preliminary study, we introduce the concept of "style
tokens" in Tacotron, a recently proposed end-to-end neural speech synthesis
model. Using style ... | computer science |
34,716 | Extracting an English-Persian Parallel Corpus from Comparable Corpora | cs.CL | Parallel data are an important part of a reliable Statistical Machine
Translation (SMT) system. The more of these data are available, the better the
quality of the SMT system. However, for some language pairs such as
Persian-English, parallel sources of this kind are scarce. In this paper, a
bidirectional method is pro... | computer science |
34,717 | Multi-label Dataless Text Classification with Topic Modeling | cs.IR | Manually labeling documents is tedious and expensive, but it is essential for
training a traditional text classifier. In recent years, a few dataless text
classification techniques have been proposed to address this problem. However,
existing works mainly center on single-label classification problems, that is,
each do... | computer science |
34,718 | SemRe-Rank: Improving Automatic Term Extraction By Incorporating
Semantic Relatedness With Personalised PageRank | cs.IR | Automatic Term Extraction deals with the extraction of terminology from a
domain specific corpus, and has long been an established research area in data
and knowledge acquisition. ATE remains a challenging task as it is known that
there is no existing ATE methods that can consistently outperform others in any
domain. T... | computer science |
34,719 | Faithful to the Original: Fact Aware Neural Abstractive Summarization | cs.IR | Unlike extractive summarization, abstractive summarization has to fuse
different parts of the source text, which inclines to create fake facts. Our
preliminary study reveals nearly 30% of the outputs from a state-of-the-art
neural summarization system suffer from this problem. While previous
abstractive summarization a... | computer science |
34,720 | Can clone detection support quality assessments of requirements
specifications? | cs.SE | Due to their pivotal role in software engineering, considerable effort is
spent on the quality assurance of software requirements specifications. As they
are mainly described in natural language, relatively few means of automated
quality assessment exist. However, we found that clone detection, a technique
widely appli... | computer science |
34,721 | CMU LiveMedQA at TREC 2017 LiveQA: A Consumer Health Question Answering
System | cs.CL | In this paper, we present LiveMedQA, a question answering system that is
optimized for consumer health question. On top of the general QA system
pipeline, we introduce several new features that aim to exploit domain-specific
knowledge and entity structures for better performance. This includes a
question type/focus ana... | computer science |
34,722 | Addressing Cross-Lingual Word Sense Disambiguation on Low-Density
Languages: Application to Persian | cs.CL | We explore the use of unsupervised methods in Cross-Lingual Word Sense
Disambiguation (CL-WSD) with the application of English to Persian. Our
proposed approach targets the languages with scarce resources (low-density) by
exploiting word embedding and semantic similarity of the words in context. We
evaluate the approac... | computer science |
34,723 | Intelligent Word Embeddings of Free-Text Radiology Reports | cs.IR | Radiology reports are a rich resource for advancing deep learning
applications in medicine by leveraging the large volume of data continuously
being updated, integrated, and shared. However, there are significant
challenges as well, largely due to the ambiguity and subtlety of natural
language. We propose a hybrid stra... | computer science |
34,724 | Deep Long Short-Term Memory Adaptive Beamforming Networks For
Multichannel Robust Speech Recognition | eess.AS | Far-field speech recognition in noisy and reverberant conditions remains a
challenging problem despite recent deep learning breakthroughs. This problem is
commonly addressed by acquiring a speech signal from multiple microphones and
performing beamforming over them. In this paper, we propose to use a recurrent
neural n... | computer science |
34,725 | Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes | cs.CL | Word embeddings use vectors to represent words such that the geometry between
vectors captures semantic relationship between the words. In this paper, we
develop a framework to demonstrate how the temporal dynamics of the embedding
can be leveraged to quantify changes in stereotypes and attitudes toward women
and ethni... | computer science |
34,726 | EMFET: E-mail Features Extraction Tool | cs.IR | EMFET is an open source and flexible tool that can be used to extract a large
number of features from any email corpus with emails saved in EML format. The
extracted features can be categorized into three main groups: header features,
payload (body) features, and attachment features. The purpose of the tool is to
help ... | computer science |
34,727 | Improving the Accuracy of Pre-trained Word Embeddings for Sentiment
Analysis | cs.CL | Sentiment analysis is one of the well-known tasks and fast growing research
areas in natural language processing (NLP) and text classifications. This
technique has become an essential part of a wide range of applications
including politics, business, advertising and marketing. There are various
techniques for sentiment... | computer science |
34,728 | Code Completion with Neural Attention and Pointer Networks | cs.CL | Intelligent code completion has become an essential tool to accelerate modern
software development. To facilitate effective code completion for
dynamically-typed programming languages, we apply neural language models by
learning from large codebases, and investigate the effectiveness of attention
mechanism on the code ... | computer science |
34,729 | Semantic Technology-Assisted Review (STAR) Document analysis and
monitoring using random vectors | cs.IR | The review and analysis of large collections of documents and the periodic
monitoring of new additions thereto has greatly benefited from new developments
in computer software. This paper demonstrates how using random vectors to
construct a low-dimensional Euclidean space embedding words and documents
enables fast and ... | computer science |
34,730 | Sentiment analysis of twitter data | cs.IR | Social networks are the main resources to gather information about people's
opinion and sentiments towards different topics as they spend hours daily on
social media and share their opinion. In this technical paper, we show the
application of sentimental analysis and how to connect to Twitter and run
sentimental analys... | computer science |
34,731 | Generalized Grounding Graphs: A Probabilistic Framework for
Understanding Grounded Commands | cs.CL | Many task domains require robots to interpret and act upon natural language
commands which are given by people and which refer to the robot's physical
surroundings. Such interpretation is known variously as the symbol grounding
problem, grounded semantics and grounded language acquisition. This problem is
challenging b... | computer science |
34,732 | An Encoder-Decoder Model for ICD-10 Coding of Death Certificates | cs.CL | Information extraction from textual documents such as hospital records and
healthrelated user discussions has become a topic of intense interest. The task
of medical concept coding is to map a variable length text to medical concepts
and corresponding classification codes in some external system or ontology. In
this wo... | computer science |
34,733 | #anorexia, #anarexia, #anarexyia: Characterizing Online Community
Practices with Orthographic Variation | cs.CL | Distinctive linguistic practices help communities build solidarity and
differentiate themselves from outsiders. In an online community, one such
practice is variation in orthography, which includes spelling, punctuation, and
capitalization. Using a dataset of over two million Instagram posts, we
investigate orthographi... | computer science |
34,734 | Discourse-Aware Rumour Stance Classification in Social Media Using
Sequential Classifiers | cs.CL | Rumour stance classification, defined as classifying the stance of specific
social media posts into one of supporting, denying, querying or commenting on
an earlier post, is becoming of increasing interest to researchers. While most
previous work has focused on using individual tweets as classifier inputs, here
we repo... | computer science |
34,735 | Long-Range Correlation Underlying Childhood Language and Generative
Models | cs.CL | Long-range correlation, a property of time series exhibiting long-term
memory, is mainly studied in the statistical physics domain and has been
reported to exist in natural language. Using a state-of-the-art method for such
analysis, long-range correlation is first shown to occur in long CHILDES data
sets. To understan... | computer science |
34,736 | A Novel Way of Identifying Cyber Predators | cs.CL | Recurrent Neural Networks with Long Short-Term Memory cell (LSTM-RNN) have
impressive ability in sequence data processing, particularly for language model
building and text classification. This research proposes the combination of
sentiment analysis, new approach of sentence vectors and LSTM-RNN as a novel
way for Sexu... | computer science |
34,737 | Creating New Language and Voice Components for the Updated MaryTTS
Text-to-Speech Synthesis Platform | cs.CL | We present a new workflow to create components for the MaryTTS text-to-speech
synthesis platform, which is popular with researchers and developers, extending
it to support new languages and custom synthetic voices. This workflow replaces
the previous toolkit with an efficient, flexible process that leverages modern
bui... | computer science |
34,738 | A Multimodal Corpus of Expert Gaze and Behavior during Phonetic
Segmentation Tasks | cs.HC | Phonetic segmentation is the process of splitting speech into distinct
phonetic units. Human experts routinely perform this task manually by analyzing
auditory and visual cues using analysis software, which is an extremely
time-consuming process. Methods exist for automatic segmentation, but these are
not always accura... | computer science |
34,739 | Benford's Law and First Letter of Word | cs.CL | A universal First-Letter Law (FLL) is derived and described. It predicts the
percentages of first letters for words in novels. The FLL is akin to Benford's
law (BL) of first digits, which predicts the percentages of first digits in a
data collection of numbers. Both are universal in the sense that FLL only
depends on t... | computer science |
34,740 | Probabilistic Semantic Retrieval for Surveillance Videos with Activity
Graphs | cs.MM | We present a novel framework for finding complex activities matching
user-described queries in cluttered surveillance videos. The wide diversity of
queries coupled with unavailability of annotated activity data limits our
ability to train activity models. To bridge the semantic gap we propose to let
users describe an a... | computer science |
34,741 | Ethical Questions in NLP Research: The (Mis)-Use of Forensic Linguistics | cs.CL | Ideas from forensic linguistics are now being used frequently in Natural
Language Processing (NLP), using machine learning techniques. While the role of
forensic linguistics was more benign earlier, it is now being used for purposes
which are questionable. Certain methods from forensic linguistics are employed,
without... | computer science |
34,742 | Tracking the Diffusion of Named Entities | cs.CL | Existing studies of how information diffuses across social networks have thus
far concentrated on analysing and recovering the spread of deterministic
innovations such as URLs, hashtags, and group membership. However investigating
how mentions of real-world entities appear and spread has yet to be explored,
largely due... | computer science |
34,743 | Find the Conversation Killers: a Predictive Study of Thread-ending Posts | cs.CL | How to improve the quality of conversations in online communities has
attracted considerable attention recently. Having engaged, urbane, and reactive
online conversations has a critical effect on the social life of Internet
users. In this study, we are particularly interested in identifying a post in a
multi-party conv... | computer science |
34,744 | Comparative Opinion Mining: A Review | cs.IR | Opinion mining refers to the use of natural language processing, text
analysis and computational linguistics to identify and extract subjective
information in textual material. Opinion mining, also known as sentiment
analysis, has received a lot of attention in recent times, as it provides a
number of tools to analyse ... | computer science |
34,745 | Basic concepts and tools for the Toki Pona minimalist and constructed
language: Wordnet synsets; analysis of the vocabulary; synthesis and syntax
highlighting of texts | cs.CY | A minimalist constructed language (conlang) is useful for experiments and
comfortable for making tools. The Toki Pona (TP) conlang is minimalist both in
the vocabulary (with only 14 letters and 124 words) and in the $\approx10$
syntax rules. The language is useful for being a used and somewhat established
minimalist co... | computer science |
34,746 | On the Challenges of Detecting Rude Conversational Behaviour | cs.HC | In this study, we aim to identify moments of rudeness between two
individuals. In particular, we segment all occurrences of rudeness in
conversations into three broad, distinct categories and try to identify each.
We show how machine learning algorithms can be used to identify rudeness based
on acoustic and semantic si... | computer science |
34,747 | Detecting Cross-Lingual Plagiarism Using Simulated Word Embeddings | cs.CL | Cross-lingual plagiarism (CLP) occurs when texts written in one language are
translated into a different language and used without acknowledging the
original sources. One of the most common methods for detecting CLP requires
online machine translators (such as Google or Microsoft translate) which are
not always availab... | computer science |
34,748 | Methods for Detecting Paraphrase Plagiarism | cs.IR | Paraphrase plagiarism is one of the difficult challenges facing plagiarism
detection systems. Paraphrasing occur when texts are lexically or syntactically
altered to look different, but retain their original meaning. Most plagiarism
detection systems (many of which are commercial based) are designed to detect
word co-o... | computer science |
34,749 | Did you hear that? Adversarial Examples Against Automatic Speech
Recognition | cs.CL | Speech is a common and effective way of communication between humans, and
modern consumer devices such as smartphones and home hubs are equipped with
deep learning based accurate automatic speech recognition to enable natural
interaction between humans and machines. Recently, researchers have
demonstrated powerful atta... | computer science |
34,750 | Matching with Text Data: An Experimental Evaluation of Methods for
Matching Documents and of Measuring Match Quality | stat.ME | How should one perform matching in observational studies when the units are
text documents? The lack of randomized assignment of documents into treatment
and control groups may lead to systematic differences between groups on
high-dimensional and latent features of text such as topical content and
sentiment. Standard b... | computer science |
34,751 | Slugbot: An Application of a Novel and Scalable Open Domain Socialbot
Framework | cs.CL | In this paper we introduce a novel, open domain socialbot for the Amazon
Alexa Prize competition, aimed at carrying on friendly conversations with users
on a variety of topics. We present our modular system, highlighting our
different data sources and how we use the human mind as a model for data
management. Additional... | computer science |
34,752 | aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching
Model | cs.IR | As an alternative to question answering methods based on feature engineering,
deep learning approaches such as convolutional neural networks (CNNs) and Long
Short-Term Memory Models (LSTMs) have recently been proposed for semantic
matching of questions and answers. To achieve good results, however, these
models have be... | computer science |
34,753 | Shielding Google's language toxicity model against adversarial attacks | cs.CL | Lack of moderation in online communities enables participants to incur in
personal aggression, harassment or cyberbullying, issues that have been
accentuated by extremist radicalisation in the contemporary post-truth politics
scenario. This kind of hostility is usually expressed by means of toxic
language, profanity or... | computer science |
34,754 | Unsupervised Low-Dimensional Vector Representations for Words, Phrases
and Text that are Transparent, Scalable, and produce Similarity Metrics that
are Complementary to Neural Embeddings | cs.CL | Neural embeddings are a popular set of methods for representing words,
phrases or text as a low dimensional vector (typically 50-500 dimensions).
However, it is difficult to interpret these dimensions in a meaningful manner,
and creating neural embeddings requires extensive training and tuning of
multiple parameters an... | computer science |
34,755 | Query2Vec: An Evaluation of NLP Techniques for Generalized Workload
Analytics | cs.DB | We consider methods for learning vector representations of SQL queries to
support generalized workload analytics tasks, including workload summarization
for index selection and predicting queries that will trigger memory errors. We
consider vector representations of both raw SQL text and optimized query plans,
and eval... | computer science |
34,756 | Learning Class-specific Word Representations for Early Detection of
Hoaxes in Social Media | cs.CL | As people increasingly use social media as a source for news consumption, its
unmoderated nature enables the diffusion of hoaxes, which in turn jeopardises
the credibility of information gathered from social media platforms. To
mitigate this problem, we study the development of a hoax detection system that
can distingu... | computer science |
34,757 | The Enemy Among Us: Detecting Hate Speech with Threats Based 'Othering'
Language Embeddings | cs.CL | Offensive or antagonistic language targeted at individuals and social groups
based on their personal characteristics (also known as cyber hate speech or
cyberhate) has been frequently posted and widely circulated viathe World Wide
Web. This can be considered as a key risk factor for individual and societal
tension link... | computer science |
34,758 | Using Additional Indexes for Fast Full-Text Search of Phrases That
Contains Frequently Used Words | cs.IR | Searches for phrases and word sets in large text arrays by means of
additional indexes are considered. Their use may reduce the query-processing
time by an order of magnitude in comparison with standard inverted files. | computer science |
34,759 | A Machine Learning Approach to Quantitative Prosopography | cs.DL | Prosopography is an investigation of the common characteristics of a group of
people in history, by a collective study of their lives. It involves a study of
biographies to solve historical problems. If such biographies are unavailable,
surviving documents and secondary biographical data are used. Quantitative
prosopog... | computer science |
34,760 | TransRev: Modeling Reviews as Translations from Users to Items | cs.IR | The text of a review expresses the sentiment a customer has towards a
particular product. This is exploited in sentiment analysis where machine
learning models are used to predict the review score from the text of the
review. Furthermore, the products costumers have purchased in the past are
indicative of the products ... | computer science |
34,761 | A Unified Deep Learning Architecture for Abuse Detection | cs.CL | Hate speech, offensive language, sexism, racism and other types of abusive
behavior have become a common phenomenon in many online social media platforms.
In recent years, such diverse abusive behaviors have been manifesting with
increased frequency and levels of intensity. This is due to the openness and
willingness o... | computer science |
34,762 | Preserved Structure Across Vector Space Representations | cs.CL | Certain concepts, words, and images are intuitively more similar than others
(dog vs. cat, dog vs. spoon), though quantifying such similarity is notoriously
difficult. Indeed, this kind of computation is likely a critical part of
learning the category boundaries for words within a given language. Here, we
use a set of ... | computer science |
34,763 | Content based Weighted Consensus Summarization | cs.IR | Multi-document summarization has received a great deal of attention in the
past couple of decades. Several approaches have been proposed, many of which
perform equally well and it is becoming in- creasingly difficult to choose one
particular system over another. An ensemble of such systems that is able to
leverage the ... | computer science |
34,764 | Pair-Linking for Collective Entity Disambiguation: Two Could Be Better
Than All | cs.IR | Collective entity disambiguation, or collective entity linking aims to
jointly resolve multiple mentions by linking them to their associated entities
in a knowledge base. Previous works largely based on the underlying assumption
that entities within the same document are highly related. However, the extend
to which the... | computer science |
34,765 | Manuscripts in Time and Space: Experiments in Scriptometrics on an Old
French Corpus | cs.CL | Witnesses of medieval literary texts, preserved in manuscript, are layered
objects , being almost exclusively copies of copies. This results in multiple
and hard to distinguish linguistic strata -- the author's scripta interacting
with the scriptae of the various scribes -- in a context where literary written
language ... | computer science |
34,766 | A Neurobiologically Motivated Analysis of Distributional Semantic Models | cs.CL | The pervasive use of distributional semantic models or word embeddings in a
variety of research fields is due to their remarkable ability to represent the
meanings of words for both practical application and cognitive modeling.
However, little has been known about what kind of information is encoded in
text-based word ... | computer science |
34,767 | Praaline: Integrating Tools for Speech Corpus Research | cs.CL | This paper presents Praaline, an open-source software system for managing,
annotating, analysing and visualising speech corpora. Researchers working with
speech corpora are often faced with multiple tools and formats, and they need
to work with ever-increasing amounts of data in a collaborative way. Praaline
integrates... | computer science |
34,768 | Distributed NLP | cs.DC | In this paper we present the performance of parallel text processing with Map
Reduce on a cloud platform. Scientific papers in Turkish language are processed
using Zemberek NLP library. Experiments were run on a Hadoop cluster and
compared with the single machines performance. | computer science |
34,769 | Validation and Topic-driven Ranking for Biomedical Hypothesis Generation
Systems | cs.IR | Literature underpins research, providing the foundation for new ideas. But as
the pace of science accelerates, many researchers struggle to stay current. To
expedite their searches, some scientists leverage hypothesis generation (HG)
systems, which can automatically inspect published papers to uncover novel
implicit co... | computer science |
34,770 | Distributed Readability Analysis Of Turkish Elementary School Textbooks | cs.DC | The readability assessment deals with estimating the level of difficulty in
reading texts.Many readability tests, which do not indicate execution
efficiency, have been applied on specific texts to measure the reading grade
level in science textbooks. In this paper, we analyze the content covered in
elementary school Tu... | computer science |
34,771 | Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets | cs.IR | Adverse drug reactions (ADRs) are one of the leading causes of mortality in
health care. Current ADR surveillance systems are often associated with a
substantial time lag before such events are officially published. On the other
hand, online social media such as Twitter contain information about ADR events
in real-time... | computer science |
34,772 | Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions
from Tweets | cs.IR | Adverse drug reactions (ADRs) are one of the leading causes of mortality in
health care. Current ADR surveillance systems are often associated with a
substantial time lag before such events are officially published. On the other
hand, online social media such as Twitter contain information about ADR events
in real-time... | computer science |
34,773 | NtMalDetect: A Machine Learning Approach to Malware Detection Using
Native API System Calls | cs.CR | As computing systems become increasingly advanced and as users increasingly
engage themselves in technology, security has never been a greater concern. In
malware detection, static analysis has been the prominent approach. This
approach, however, quickly falls short as malicious programs become more
advanced and adopt ... | computer science |
34,774 | Global-scale phylogenetic linguistic inference from lexical resources | cs.CL | Automatic phylogenetic inference plays an increasingly important role in
computational historical linguistics. Most pertinent work is currently based on
expert cognate judgments. This limits the scope of this approach to a small
number of well-studied language families. We used machine learning techniques
to compile da... | computer science |
34,775 | Building a Word Segmenter for Sanskrit Overnight | cs.CL | There is an abundance of digitised texts available in Sanskrit. However, the
word segmentation task in such texts are challenging due to the issue of
'Sandhi'. In Sandhi, words in a sentence often fuse together to form a single
chunk of text, where the word delimiter vanishes and sounds at the word
boundaries undergo t... | computer science |
34,776 | Stability of items: an experimental test | cs.CL | The words of a language are randomly replaced in time by new ones, but long
since it was observed that words corresponding to some items (meanings) are
less frequently replaced then others. Usually, the rate of replacement for a
given item is not directly observable, but it is inferred by the estimated
stability which,... | computer science |
34,777 | Matching Long Text Documents via Graph Convolutional Networks | cs.CL | Identifying the relationship between two text objects is a core research
problem underlying many natural language processing tasks. A wide range of deep
learning schemes have been proposed for text matching, mainly focusing on
sentence matching, question answering or query document matching. We point out
that existing ... | computer science |
34,778 | Modelling spatiotemporal variation of positive and negative sentiment on
Twitter to improve the identification of localised deviations | cs.SI | Studies examining how sentiment on social media varies over time and space
appear to produce inconsistent results. Analysing 16.54 million
English-language tweets from 100 cities posted between 13 July and 30 November
2017, our aim was to clarify how spatiotemporal and social factors contributed
to variation in sentime... | computer science |
34,779 | NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to
the Linux Operating System | cs.CL | We present new data and semantic parsing methods for the problem of mapping
English sentences to Bash commands (NL2Bash). Our long-term goal is to enable
any user to perform operations such as file manipulation, search, and
application-specific scripting by simply stating their goals in English. We
take a first step in... | computer science |
34,780 | Tone Biased MMR Text Summarization | cs.IR | Text summarization is an interesting area for researchers to develop new
techniques to provide human like summaries for vast amounts of information.
Summarization techniques tend to focus on providing accurate representation of
content, and often the tone of the content is ignored. Tone of the content sets
a baseline f... | computer science |
34,781 | The Development of Darwin's Origin of Species | cs.CL | From 1837, when he returned to England aboard the $\textit{HMS Beagle}$, to
1860, just after publication of $\textit{The Origin of Species}$, Charles
Darwin kept detailed notes of each book he read or wanted to read. His notes
and manuscripts provide information about decades of individual scientific
practice. Previous... | computer science |
34,782 | A Fast Deep Learning Model for Textual Relevance in Biomedical
Information Retrieval | cs.IR | Publications in the life sciences are characterized by a large technical
vocabulary, with many lexical and semantic variations for expressing the same
concept. Towards addressing the problem of relevance in biomedical literature
search, we introduce a deep learning model for the relevance of a document's
text to a keyw... | computer science |
34,783 | Growing Story Forest Online from Massive Breaking News | cs.IR | We describe our experience of implementing a news content organization system
at Tencent that discovers events from vast streams of breaking news and evolves
news story structures in an online fashion. Our real-world system has distinct
requirements in contrast to previous studies on topic detection and tracking
(TDT) ... | computer science |
34,784 | Collaborative Metric Learning Recommendation System: Application to
Theatrical Movie Releases | cs.IR | Product recommendation systems are important for major movie studios during
the movie greenlight process and as part of machine learning personalization
pipelines. Collaborative Filtering (CF) models have proved to be effective at
powering recommender systems for online streaming services with explicit
customer feedbac... | computer science |
34,785 | Calculated attributes of synonym sets | cs.CL | The goal of formalization, proposed in this paper, is to bring together, as
near as possible, the theoretic linguistic problem of synonym conception and
the computer linguistic methods based generally on empirical intuitive
unjustified factors. Using the word vector representation we have proposed the
geometric approac... | computer science |
34,786 | The morphospace of language networks | cs.CL | Language can be described as a network of interacting objects with different
qualitative properties and complexity. These networks include semantic,
syntactic, or phonological levels and have been found to provide a new picture
of language complexity and its evolution. A general approach considers language
from an info... | computer science |
34,787 | Code Review Comments: Language Matters | cs.SE | Recent research provides evidence that effective communication in
collaborative software development has significant impact on the software
development lifecycle. Although related qualitative and quantitative studies
point out textual characteristics of well-formed messages, the underlying
semantics of the intertwined ... | computer science |
34,788 | Towards the Creation of a Large Corpus of Synthetically-Identified
Clinical Notes | cs.CL | Clinical notes often describe the most important aspects of a patient's
physiology and are therefore critical to medical research. However, these notes
are typically inaccessible to researchers without prior removal of sensitive
protected health information (PHI), a natural language processing (NLP) task
referred to as... | computer science |
34,789 | Linking ImageNet WordNet Synsets with Wikidata | cs.DL | The linkage of ImageNet WordNet synsets to Wikidata items will leverage deep
learning algorithm with access to a rich multilingual knowledge graph. Here I
will describe our on-going efforts in linking the two resources and issues
faced in matching the Wikidata and WordNet knowledge graphs. I show an example
on how the ... | computer science |
34,790 | A Study of Recent Contributions on Information Extraction | cs.IR | This paper reports on modern approaches in Information Extraction (IE) and
its two main sub-tasks of Named Entity Recognition (NER) and Relation
Extraction (RE). Basic concepts and the most recent approaches in this area are
reviewed, which mainly include Machine Learning (ML) based approaches and the
more recent trend... | computer science |
34,791 | Word sense induction using word embeddings and community detection in
complex networks | cs.CL | Word Sense Induction (WSI) is the ability to automatically induce word senses
from corpora. The WSI task was first proposed to overcome the limitations of
manually annotated corpus that are required in word sense disambiguation
systems. Even though several works have been proposed to induce word senses,
existing system... | computer science |
34,792 | Development and Evolution of Neural Networks in an Artificial Chemistry | cs.NE | We present a model of decentralized growth for Artificial Neural Networks
(ANNs) inspired by the development and the physiology of real nervous systems.
In this model, each individual artificial neuron is an autonomous unit whose
behavior is determined only by the genetic information it harbors and local
concentrations... | computer science |
34,793 | Evolution of genetic organization in digital organisms | cs.NE | We examine the evolution of expression patterns and the organization of
genetic information in populations of self-replicating digital organisms.
Seeding the experiments with a linearly expressed ancestor, we witness the
development of complex, parallel secondary expression patterns. Using
principles from information t... | computer science |
34,794 | Optimization with Extremal Dynamics | cs.NE | We explore a new general-purpose heuristic for finding high-quality solutions
to hard optimization problems. The method, called extremal optimization, is
inspired by self-organized criticality, a concept introduced to describe
emergent complexity in physical systems. Extremal optimization successively
replaces extremel... | computer science |
34,795 | Extremal Optimization for Graph Partitioning | cs.NE | Extremal optimization is a new general-purpose method for approximating
solutions to hard optimization problems. We study the method in detail by way
of the NP-hard graph partitioning problem. We discuss the scaling behavior of
extremal optimization, focusing on the convergence of the average run as a
function of runti... | computer science |
34,796 | Jamming Model for the Extremal Optimization Heuristic | cs.NE | Extremal Optimization, a recently introduced meta-heuristic for hard
optimization problems, is analyzed on a simple model of jamming. The model is
motivated first by the problem of finding lowest energy configurations for a
disordered spin system on a fixed-valence graph. The numerical results for the
spin system exhib... | computer science |
34,797 | Threshold Disorder as a Source of Diverse and Complex Behavior in Random
Nets | cs.NE | We study the diversity of complex spatio-temporal patterns in the behavior of
random synchronous asymmetric neural networks (RSANNs). Special attention is
given to the impact of disordered threshold values on limit-cycle diversity and
limit-cycle complexity in RSANNs which have `normal' thresholds by default.
Surprisin... | computer science |
34,798 | Winner-Relaxing Self-Organizing Maps | cs.NE | A new family of self-organizing maps, the Winner-Relaxing Kohonen Algorithm,
is introduced as a generalization of a variant given by Kohonen in 1991. The
magnification behaviour is calculated analytically. For the original variant a
magnification exponent of 4/7 is derived; the generalized version allows to
steer the m... | computer science |
34,799 | Neural network modeling of data with gaps: method of principal curves,
Carleman's formula, and other | cs.NE | A method of modeling data with gaps by a sequence of curves has been
developed. The new method is a generalization of iterative construction of
singular expansion of matrices with gaps. Under discussion are three versions
of the method featuring clear physical interpretation: linear - modeling the
data by a sequence of... | computer science |
34,800 | Back-propagation of accuracy | cs.NA | In this paper we solve the problem: how to determine maximal allowable
errors, possible for signals and parameters of each element of a network
proceeding from the condition that the vector of output signals of the network
should be calculated with given accuracy? "Back-propagation of accuracy" is
developed to solve th... | computer science |
34,801 | Generation of Explicit Knowledge from Empirical Data through Pruning of
Trainable Neural Networks | cs.NE | This paper presents a generalized technology of extraction of explicit
knowledge from data. The main ideas are 1) maximal reduction of network
complexity (not only removal of neurons or synapses, but removal all the
unnecessary elements and signals and reduction of the complexity of elements),
2) using of adjustable an... | computer science |
34,802 | A Computational Study of Rotating Spiral Waves and Spatio-Temporal
Transient Chaos in a Deterministic Three-Level Active System | cs.NE | Spatio-temporal dynamics of a deterministic three-level cellular automaton
(TLCA) of Zykov-Mikhailov type (Sov. Phys. - Dokl., 1986, Vol.31, No.1, P.51)
is studied numerically. Evolution of spatial structures is investigated both
for the original Zykov-Mikhailov model (which is applicable to, for example,
Belousov-Zhab... | computer science |
34,803 | Numerical Modeling of Coexistence, Competition and Collapse of Rotating
Spiral Waves in Three-Level Excitable Media with Discrete Active Centers and
Absorbing Boundaries | cs.NE | Spatio-temporal dynamics of excitable media with discrete three-level active
centers (ACs) and absorbing boundaries is studied numerically by means of a
deterministic three-level model (see S. D. Makovetskiy and D. N. Makovetskii,
on-line preprint cond-mat/0410460 ), which is a generalization of Zykov-
Mikhailov model ... | computer science |
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