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8,900 | Just an Update on PMING Distance for Web-based Semantic Similarity in
Artificial Intelligence and Data Mining | cs.AI | One of the main problems that emerges in the classic approach to semantics is
the difficulty in acquisition and maintenance of ontologies and semantic
annotations. On the other hand, the Internet explosion and the massive
diffusion of mobile smart devices lead to the creation of a worldwide system,
which information is... | computer science |
8,901 | Semantic Evolutionary Concept Distances for Effective Information
Retrieval in Query Expansion | cs.IR | In this work several semantic approaches to concept-based query expansion and
reranking schemes are studied and compared with different ontology-based
expansion methods in web document search and retrieval. In particular, we focus
on concept-based query expansion schemes, where, in order to effectively
increase the pre... | computer science |
8,902 | Systems of natural-language-facilitated human-robot cooperation: A
review | cs.RO | Natural-language-facilitated human-robot cooperation (NLC), in which natural
language (NL) is used to share knowledge between a human and a robot for
conducting intuitive human-robot cooperation (HRC), is continuously developing
in the recent decade. Currently, NLC is used in several robotic domains such as
manufacturi... | computer science |
8,903 | A Review of Methodologies for Natural-Language-Facilitated Human-Robot
Cooperation | cs.RO | Natural-language-facilitated human-robot cooperation (NLC) refers to using
natural language (NL) to facilitate interactive information sharing and task
executions with a common goal constraint between robots and humans. Recently,
NLC research has received increasing attention. Typical NLC scenarios include
robotic dail... | computer science |
8,904 | Offline bilingual word vectors, orthogonal transformations and the
inverted softmax | cs.CL | Usually bilingual word vectors are trained "online". Mikolov et al. showed
they can also be found "offline", whereby two pre-trained embeddings are
aligned with a linear transformation, using dictionaries compiled from expert
knowledge. In this work, we prove that the linear transformation between two
spaces should be ... | computer science |
8,905 | Learning Conversational Systems that Interleave Task and Non-Task
Content | cs.CL | Task-oriented dialog systems have been applied in various tasks, such as
automated personal assistants, customer service providers and tutors. These
systems work well when users have clear and explicit intentions that are
well-aligned to the systems' capabilities. However, they fail if users
intentions are not explicit... | computer science |
8,906 | DAWT: Densely Annotated Wikipedia Texts across multiple languages | cs.IR | In this work, we open up the DAWT dataset - Densely Annotated Wikipedia Texts
across multiple languages. The annotations include labeled text mentions
mapping to entities (represented by their Freebase machine ids) as well as the
type of the entity. The data set contains total of 13.6M articles, 5.0B tokens,
13.8M ment... | computer science |
8,907 | Sound-Word2Vec: Learning Word Representations Grounded in Sounds | cs.CL | To be able to interact better with humans, it is crucial for machines to
understand sound - a primary modality of human perception. Previous works have
used sound to learn embeddings for improved generic textual similarity
assessment. In this work, we treat sound as a first-class citizen, studying
downstream textual ta... | computer science |
8,908 | Unsupervised Learning of Sentence Embeddings using Compositional n-Gram
Features | cs.CL | The recent tremendous success of unsupervised word embeddings in a multitude
of applications raises the obvious question if similar methods could be derived
to improve embeddings (i.e. semantic representations) of word sequences as
well. We present a simple but efficient unsupervised objective to train
distributed repr... | computer science |
8,909 | Applying the Wizard-of-Oz Technique to Multimodal Human-Robot Dialogue | cs.CL | Our overall program objective is to provide more natural ways for soldiers to
interact and communicate with robots, much like how soldiers communicate with
other soldiers today. We describe how the Wizard-of-Oz (WOz) method can be
applied to multimodal human-robot dialogue in a collaborative exploration task.
While the... | computer science |
8,910 | High-Throughput and Language-Agnostic Entity Disambiguation and Linking
on User Generated Data | cs.IR | The Entity Disambiguation and Linking (EDL) task matches entity mentions in
text to a unique Knowledge Base (KB) identifier such as a Wikipedia or Freebase
id. It plays a critical role in the construction of a high quality information
network, and can be further leveraged for a variety of information retrieval
and NLP ... | computer science |
8,911 | Towards a Quantum World Wide Web | cs.AI | We elaborate a quantum model for the meaning associated with corpora of
written documents, like the pages forming the World Wide Web. To that end, we
are guided by how physicists constructed quantum theory for microscopic
entities, which unlike classical objects cannot be fully represented in our
spatial theater. We su... | computer science |
8,912 | An overview of embedding models of entities and relationships for
knowledge base completion | cs.CL | Knowledge bases (KBs) of real-world facts about entities and their
relationships are useful resources for a variety of natural language processing
tasks. However, because knowledge bases are typically incomplete, it is useful
to be able to perform knowledge base completion or link prediction, i.e.,
predict whether a re... | computer science |
8,913 | Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans
in the Loop | cs.HC | Although information workers may complain about meetings, they are an
essential part of their work life. Consequently, busy people spend a
significant amount of time scheduling meetings. We present Calendar.help, a
system that provides fast, efficient scheduling through structured workflows.
Users interact with the sys... | computer science |
8,914 | Unsupervised Event Abstraction using Pattern Abstraction and Local
Process Models | cs.DB | Process mining analyzes business processes based on events stored in event
logs. However, some recorded events may correspond to activities on a very low
level of abstraction. When events are recorded on a too low level of
granularity, process discovery methods tend to generate overgeneralizing
process models. Grouping... | computer science |
8,915 | Real-time On-Demand Crowd-powered Entity Extraction | cs.HC | Output-agreement mechanisms such as ESP Game have been widely used in human
computation to obtain reliable human-generated labels. In this paper, we argue
that a "time-limited" output-agreement mechanism can be used to create a fast
and robust crowd-powered component in interactive systems, particularly
dialogue system... | computer science |
8,916 | Online Spatial Concept and Lexical Acquisition with Simultaneous
Localization and Mapping | cs.AI | In this paper, we propose an online learning algorithm based on a
Rao-Blackwellized particle filter for spatial concept acquisition and mapping.
We have proposed a nonparametric Bayesian spatial concept acquisition model
(SpCoA). We propose a novel method (SpCoSLAM) integrating SpCoA and FastSLAM in
the theoretical fra... | computer science |
8,917 | 25 Tweets to Know You: A New Model to Predict Personality with Social
Media | cs.SI | Predicting personality is essential for social applications supporting
human-centered activities, yet prior modeling methods with users written text
require too much input data to be realistically used in the context of social
media. In this work, we aim to drastically reduce the data requirement for
personality modeli... | computer science |
8,918 | 280 Birds with One Stone: Inducing Multilingual Taxonomies from
Wikipedia using Character-level Classification | cs.CL | We propose a simple, yet effective, approach towards inducing multilingual
taxonomies from Wikipedia. Given an English taxonomy, our approach leverages
the interlanguage links of Wikipedia followed by character-level classifiers to
induce high-precision, high-coverage taxonomies in other languages. Through
experiments,... | computer science |
8,919 | Taxonomy Induction using Hypernym Subsequences | cs.AI | We propose a novel, semi-supervised approach towards domain taxonomy
induction from an input vocabulary of seed terms. Unlike all previous
approaches, which typically extract direct hypernym edges for terms, our
approach utilizes a novel probabilistic framework to extract hypernym
subsequences. Taxonomy induction from ... | computer science |
8,920 | Quantifying Mental Health from Social Media with Neural User Embeddings | cs.CL | Mental illnesses adversely affect a significant proportion of the population
worldwide. However, the methods traditionally used for estimating and
characterizing the prevalence of mental health conditions are time-consuming
and expensive. Consequently, best-available estimates concerning the prevalence
of mental health... | computer science |
8,921 | From Imitation to Prediction, Data Compression vs Recurrent Neural
Networks for Natural Language Processing | cs.CL | In recent studies [1][13][12] Recurrent Neural Networks were used for
generative processes and their surprising performance can be explained by their
ability to create good predictions. In addition, data compression is also based
on predictions. What the problem comes down to is whether a data compressor
could be used ... | computer science |
8,922 | Semantic Entity Retrieval Toolkit | cs.CL | Unsupervised learning of low-dimensional, semantic representations of words
and entities has recently gained attention. In this paper we describe the
Semantic Entity Retrieval Toolkit (SERT) that provides implementations of our
previously published entity representation models. The toolkit provides a
unified interface ... | computer science |
8,923 | Bib2vec: An Embedding-based Search System for Bibliographic Information | cs.CL | We propose a novel embedding model that represents relationships among
several elements in bibliographic information with high representation ability
and flexibility. Based on this model, we present a novel search system that
shows the relationships among the elements in the ACL Anthology Reference
Corpus. The evaluati... | computer science |
8,924 | Sentiment Identification in Code-Mixed Social Media Text | cs.CL | Sentiment analysis is the Natural Language Processing (NLP) task dealing with
the detection and classification of sentiments in texts. While some tasks deal
with identifying the presence of sentiment in the text (Subjectivity analysis),
other tasks aim at determining the polarity of the text categorizing them as
positi... | computer science |
8,925 | A Brief Survey of Text Mining: Classification, Clustering and Extraction
Techniques | cs.CL | The amount of text that is generated every day is increasing dramatically.
This tremendous volume of mostly unstructured text cannot be simply processed
and perceived by computers. Therefore, efficient and effective techniques and
algorithms are required to discover useful patterns. Text mining is the task of
extractin... | computer science |
8,926 | Neural Networks for Information Retrieval | cs.IR | Machine learning plays a role in many aspects of modern IR systems, and deep
learning is applied in all of them. The fast pace of modern-day research has
given rise to many different approaches for many different IR problems. The
amount of information available can be overwhelming both for junior students
and for exper... | computer science |
8,927 | Lithium NLP: A System for Rich Information Extraction from Noisy User
Generated Text on Social Media | cs.AI | In this paper, we describe the Lithium Natural Language Processing (NLP)
system - a resource-constrained, high- throughput and language-agnostic system
for information extraction from noisy user generated text on social media.
Lithium NLP extracts a rich set of information including entities, topics,
hashtags and senti... | computer science |
8,928 | The Power of Constraint Grammars Revisited | cs.FL | Sequential Constraint Grammar (SCG) (Karlsson, 1990) and its extensions have
lacked clear connections to formal language theory. The purpose of this article
is to lay a foundation for these connections by simplifying the definition of
strings processed by the grammar and by showing that Nonmonotonic SCG is
undecidable ... | computer science |
8,929 | Grounding Spatio-Semantic Referring Expressions for Human-Robot
Interaction | cs.RO | The human language is one of the most natural interfaces for humans to
interact with robots. This paper presents a robot system that retrieves
everyday objects with unconstrained natural language descriptions. A core issue
for the system is semantic and spatial grounding, which is to infer objects and
their spatial rel... | computer science |
8,930 | Structural Regularities in Text-based Entity Vector Spaces | cs.IR | Entity retrieval is the task of finding entities such as people or products
in response to a query, based solely on the textual documents they are
associated with. Recent semantic entity retrieval algorithms represent queries
and experts in finite-dimensional vector spaces, where both are constructed
from text sequence... | computer science |
8,931 | Neural Rating Regression with Abstractive Tips Generation for
Recommendation | cs.CL | Recently, some E-commerce sites launch a new interaction box called Tips on
their mobile apps. Users can express their experience and feelings or provide
suggestions using short texts typically several words or one sentence. In
essence, writing some tips and giving a numerical rating are two facets of a
user's product ... | computer science |
8,932 | The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task | cs.CL | We describe the University of Maryland machine translation systems submitted
to the WMT17 German-English Bandit Learning Task. The task is to adapt a
translation system to a new domain, using only bandit feedback: the system
receives a German sentence to translate, produces an English sentence, and only
gets a scalar s... | computer science |
8,933 | Generative Statistical Models with Self-Emergent Grammar of Chord
Sequences | cs.AI | Generative statistical models of chord sequences play crucial roles in music
processing. To capture syntactic similarities among certain chords (e.g. in C
major key, between G and G7 and between F and Dm), we study hidden Markov
models and probabilistic context-free grammar models with latent variables
describing synta... | computer science |
8,934 | "Is there anything else I can help you with?": Challenges in Deploying
an On-Demand Crowd-Powered Conversational Agent | cs.HC | Intelligent conversational assistants, such as Apple's Siri, Microsoft's
Cortana, and Amazon's Echo, have quickly become a part of our digital life.
However, these assistants have major limitations, which prevents users from
conversing with them as they would with human dialog partners. This limits our
ability to obser... | computer science |
8,935 | Learning to Attend, Copy, and Generate for Session-Based Query
Suggestion | cs.IR | Users try to articulate their complex information needs during search
sessions by reformulating their queries. To make this process more effective,
search engines provide related queries to help users in specifying the
information need in their search process. In this paper, we propose a
customized sequence-to-sequence... | computer science |
8,936 | Automatic Summarization of Online Debates | cs.CL | Debate summarization is one of the novel and challenging research areas in
automatic text summarization which has been largely unexplored. In this paper,
we develop a debate summarization pipeline to summarize key topics which are
discussed or argued in the two opposing sides of online debates. We view that
the generat... | computer science |
8,937 | Gold Standard Online Debates Summaries and First Experiments Towards
Automatic Summarization of Online Debate Data | cs.CL | Usage of online textual media is steadily increasing. Daily, more and more
news stories, blog posts and scientific articles are added to the online
volumes. These are all freely accessible and have been employed extensively in
multiple research areas, e.g. automatic text summarization, information
retrieval, informatio... | computer science |
8,938 | Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding | cs.CL | Entity alignment is the task of finding entities in two knowledge bases (KBs)
that represent the same real-world object. When facing KBs in different natural
languages, conventional cross-lingual entity alignment methods rely on machine
translation to eliminate the language barriers. These approaches often suffer
from ... | computer science |
8,939 | An Improved Residual LSTM Architecture for Acoustic Modeling | cs.CL | Long Short-Term Memory (LSTM) is the primary recurrent neural networks
architecture for acoustic modeling in automatic speech recognition systems.
Residual learning is an efficient method to help neural networks converge
easier and faster. In this paper, we propose several types of residual LSTM
methods for our acousti... | computer science |
8,940 | Efficient Online Inference for Infinite Evolutionary Cluster models with
Applications to Latent Social Event Discovery | cs.AI | The Recurrent Chinese Restaurant Process (RCRP) is a powerful statistical
method for modeling evolving clusters in large scale social media data. With
the RCRP, one can allow both the number of clusters and the cluster parameters
in a model to change over time. However, application of the RCRP has largely
been limited ... | computer science |
8,941 | Classification of Radiology Reports Using Neural Attention Models | cs.CL | The electronic health record (EHR) contains a large amount of
multi-dimensional and unstructured clinical data of significant operational and
research value. Distinguished from previous studies, our approach embraces a
double-annotated dataset and strays away from obscure "black-box" models to
comprehensive deep learni... | computer science |
8,942 | Generating Query Suggestions to Support Task-Based Search | cs.IR | We address the problem of generating query suggestions to support users in
completing their underlying tasks (which motivated them to search in the first
place). Given an initial query, these query suggestions should provide a
coverage of possible subtasks the user might be looking for. We propose a
probabilistic model... | computer science |
8,943 | On Type-Aware Entity Retrieval | cs.IR | Today, the practice of returning entities from a knowledge base in response
to search queries has become widespread. One of the distinctive characteristics
of entities is that they are typed, i.e., assigned to some hierarchically
organized type system (type taxonomy). The primary objective of this paper is
to gain a be... | computer science |
8,944 | Algorithms and Architecture for Real-time Recommendations at News UK | cs.IR | Recommendation systems are recognised as being hugely important in industry,
and the area is now well understood. At News UK, there is a requirement to be
able to quickly generate recommendations for users on news items as they are
published. However, little has been published about systems that can generate
recommenda... | computer science |
8,945 | SKOS Concepts and Natural Language Concepts: an Analysis of Latent
Relationships in KOSs | cs.DL | The vehicle to represent Knowledge Organization Systems (KOSs) in the
environment of the Semantic Web and linked data is the Simple Knowledge
Organization System (SKOS). SKOS provides a way to assign a URI to each
concept, and this URI functions as a surrogate for the concept. This fact makes
of main concern the need t... | computer science |
8,946 | Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings
of Knowledge Base Properties [Extended Version] | cs.IR | In knowledge bases such as Wikidata, it is possible to assert a large set of
properties for entities, ranging from generic ones such as name and place of
birth to highly profession-specific or background-specific ones such as
doctoral advisor or medical condition. Determining a preference or ranking in
this large set i... | computer science |
8,947 | WHY: Natural Explanations from a Robot Navigator | cs.AI | Effective collaboration between a robot and a person requires natural
communication. When a robot travels with a human companion, the robot should be
able to explain its navigation behavior in natural language. This paper
explains how a cognitively-based, autonomous robot navigation system produces
informative, intuiti... | computer science |
8,948 | Measurement Context Extraction from Text: Discovering Opportunities and
Gaps in Earth Science | cs.IR | We propose Marve, a system for extracting measurement values, units, and
related words from natural language text. Marve uses conditional random fields
(CRF) to identify measurement values and units, followed by a rule-based system
to find related entities, descriptors and modifiers within a sentence. Sentence
tokens a... | computer science |
8,949 | A retrieval-based dialogue system utilizing utterance and context
embeddings | cs.CL | Finding semantically rich and computer-understandable representations for
textual dialogues, utterances and words is crucial for dialogue systems (or
conversational agents), as their performance mostly depends on understanding
the context of conversations. Recent research aims at finding distributed
vector representati... | computer science |
8,950 | Laying Down the Yellow Brick Road: Development of a Wizard-of-Oz
Interface for Collecting Human-Robot Dialogue | cs.CL | We describe the adaptation and refinement of a graphical user interface
designed to facilitate a Wizard-of-Oz (WoZ) approach to collecting human-robot
dialogue data. The data collected will be used to develop a dialogue system for
robot navigation. Building on an interface previously used in the development
of dialogue... | computer science |
8,951 | Spoken Language Biomarkers for Detecting Cognitive Impairment | cs.AI | In this study we developed an automated system that evaluates speech and
language features from audio recordings of neuropsychological examinations of
92 subjects in the Framingham Heart Study. A total of 265 features were used in
an elastic-net regularized binomial logistic regression model to classify the
presence of... | computer science |
8,952 | Multilingual Speech Recognition With A Single End-To-End Model | eess.AS | Training a conventional automatic speech recognition (ASR) system to support
multiple languages is challenging because the sub-word unit, lexicon and word
inventories are typically language specific. In contrast, sequence-to-sequence
models are well suited for multilingual ASR because they encapsulate an
acoustic, pron... | computer science |
8,953 | On the incorporation of interval-valued fuzzy sets into the Bousi-Prolog
system: declarative semantics, implementation and applications | cs.AI | In this paper we analyse the benefits of incorporating interval-valued fuzzy
sets into the Bousi-Prolog system. A syntax, declarative semantics and im-
plementation for this extension is presented and formalised. We show, by using
potential applications, that fuzzy logic programming frameworks enhanced with
them can co... | computer science |
8,954 | SQLNet: Generating Structured Queries From Natural Language Without
Reinforcement Learning | cs.CL | Synthesizing SQL queries from natural language is a long-standing open
problem and has been attracting considerable interest recently. Toward solving
the problem, the de facto approach is to employ a sequence-to-sequence-style
model. Such an approach will necessarily require the SQL queries to be
serialized. Since the ... | computer science |
8,955 | Targeted Advertising Based on Browsing History | cs.IR | Audience interest, demography, purchase behavior and other possible
classifications are ex- tremely important factors to be carefully studied in a
targeting campaign. This information can help advertisers and publishers
deliver advertisements to the right audience group. How- ever, it is not easy
to collect such inform... | computer science |
8,956 | Phonemic and Graphemic Multilingual CTC Based Speech Recognition | eess.AS | Training automatic speech recognition (ASR) systems requires large amounts of
data in the target language in order to achieve good performance. Whereas large
training corpora are readily available for languages like English, there exists
a long tail of languages which do suffer from a lack of resources. One method
to h... | computer science |
8,957 | Multilingual Adaptation of RNN Based ASR Systems | eess.AS | In this work, we focus on multilingual systems based on recurrent neural
networks (RNNs), trained using the Connectionist Temporal Classification (CTC)
loss function. Using a multilingual set of acoustic units poses difficulties.
To address this issue, we proposed Language Feature Vectors (LFVs) to train
language adapt... | computer science |
8,958 | Remedies against the Vocabulary Gap in Information Retrieval | cs.IR | Search engines rely heavily on term-based approaches that represent queries
and documents as bags of words. Text---a document or a query---is represented
by a bag of its words that ignores grammar and word order, but retains word
frequency counts. When presented with a search query, the engine then ranks
documents acco... | computer science |
8,959 | Cross Temporal Recurrent Networks for Ranking Question Answer Pairs | cs.CL | Temporal gates play a significant role in modern recurrent-based neural
encoders, enabling fine-grained control over recursive compositional operations
over time. In recurrent models such as the long short-term memory (LSTM),
temporal gates control the amount of information retained or discarded over
time, not only pla... | computer science |
8,960 | Calculating Semantic Similarity between Academic Articles using Topic
Event and Ontology | cs.CL | Determining semantic similarity between academic documents is crucial to many
tasks such as plagiarism detection, automatic technical survey and semantic
search. Current studies mostly focus on semantic similarity between concepts,
sentences and short text fragments. However, document-level semantic matching
is still b... | computer science |
8,961 | An analysis of incorporating an external language model into a
sequence-to-sequence model | eess.AS | Attention-based sequence-to-sequence models for automatic speech recognition
jointly train an acoustic model, language model, and alignment mechanism. Thus,
the language model component is only trained on transcribed audio-text pairs.
This leads to the use of shallow fusion with an external language model at
inference ... | computer science |
8,962 | A Deep Network Model for Paraphrase Detection in Short Text Messages | cs.IR | This paper is concerned with paraphrase detection. The ability to detect
similar sentences written in natural language is crucial for several
applications, such as text mining, text summarization, plagiarism detection,
authorship authentication and question answering. Given two sentences, the
objective is to detect whe... | computer science |
8,963 | FlagIt: A System for Minimally Supervised Human Trafficking Indicator
Mining | cs.CY | In this paper, we describe and study the indicator mining problem in the
online sex advertising domain. We present an in-development system, FlagIt
(Flexible and adaptive generation of Indicators from text), which combines the
benefits of both a lightweight expert system and classical semi-supervision
(heuristic re-lab... | computer science |
8,964 | Social Emotion Mining Techniques for Facebook Posts Reaction Prediction | cs.AI | As of February 2016 Facebook allows users to express their experienced
emotions about a post by using five so-called `reactions'. This research paper
proposes and evaluates alternative methods for predicting these reactions to
user posts on public pages of firms/companies (like supermarket chains). For
this purpose, we... | computer science |
8,965 | Relation Extraction : A Survey | cs.CL | With the advent of the Internet, large amount of digital text is generated
everyday in the form of news articles, research publications, blogs, question
answering forums and social media. It is important to develop techniques for
extracting information automatically from these documents, as lot of important
information... | computer science |
8,966 | Learning to Attend via Word-Aspect Associative Fusion for Aspect-based
Sentiment Analysis | cs.CL | Aspect-based sentiment analysis (ABSA) tries to predict the polarity of a
given document with respect to a given aspect entity. While neural network
architectures have been successful in predicting the overall polarity of
sentences, aspect-specific sentiment analysis still remains as an open problem.
In this paper, we ... | computer science |
8,967 | Toward Continual Learning for Conversational Agents | cs.CL | While end-to-end neural conversation models have led to promising advances in
reducing hand-crafted features and errors induced by the traditional complex
system architecture, they typically require an enormous amount of data due to
the lack of modularity. Previous studies adopted a hybrid approach with
knowledge-based... | computer science |
8,968 | Learning Continuous User Representations through Hybrid Filtering with
doc2vec | cs.IR | Players in the online ad ecosystem are struggling to acquire the user data
required for precise targeting. Audience look-alike modeling has the potential
to alleviate this issue, but models' performance strongly depends on quantity
and quality of available data. In order to maximize the predictive performance
of our lo... | computer science |
8,969 | Beyond Word Embeddings: Learning Entity and Concept Representations from
Large Scale Knowledge Bases | cs.CL | Text representation using neural word embeddings has proven efficacy in many
NLP applications. Recently, a lot of research interest goes beyond word
embeddings by adapting the traditional word embedding models to learn vectors
of multiword expressions (concepts/entities). However, current methods are
limited to textual... | computer science |
8,970 | Trading the Twitter Sentiment with Reinforcement Learning | cs.AI | This paper is to explore the possibility to use alternative data and
artificial intelligence techniques to trade stocks. The efficacy of the daily
Twitter sentiment on predicting the stock return is examined using machine
learning methods. Reinforcement learning(Q-learning) is applied to generate the
optimal trading po... | computer science |
8,971 | Evorus: A Crowd-powered Conversational Assistant Built to Automate
Itself Over Time | cs.HC | Crowd-powered conversational assistants have been shown to be more robust
than automated systems, but do so at the cost of higher response latency and
monetary costs. A promising direction is to combine the two approaches for high
quality, low latency, and low cost solutions. In this paper, we introduce
Evorus, a crowd... | computer science |
8,972 | Biomedical Question Answering via Weighted Neural Network Passage
Retrieval | cs.IR | The amount of publicly available biomedical literature has been growing
rapidly in recent years, yet question answering systems still struggle to
exploit the full potential of this source of data. In a preliminary processing
step, many question answering systems rely on retrieval models for identifying
relevant documen... | computer science |
8,973 | Multi-Pointer Co-Attention Networks for Recommendation | cs.CL | Many recent state-of-the-art recommender systems such as D-ATT, TransNet and
DeepCoNN exploit reviews for representation learning. This paper proposes a new
neural architecture for recommendation with reviews. Our model operates on a
multi-hierarchical paradigm and is based on the intuition that not all reviews
are cre... | computer science |
8,974 | WorldTree: A Corpus of Explanation Graphs for Elementary Science
Questions supporting Multi-Hop Inference | cs.CL | Developing methods of automated inference that are able to provide users with
compelling human-readable justifications for why the answer to a question is
correct is critical for domains such as science and medicine, where user trust
and detecting costly errors are limiting factors to adoption. One of the
central barri... | computer science |
8,975 | Neural Program Search: Solving Programming Tasks from Description and
Examples | cs.AI | We present a Neural Program Search, an algorithm to generate programs from
natural language description and a small number of input/output examples. The
algorithm combines methods from Deep Learning and Program Synthesis fields by
designing rich domain-specific language (DSL) and defining efficient search
algorithm gui... | computer science |
8,976 | Attention based Sentence Extraction from Scientific Articles using
Pseudo-Labeled data | cs.IR | In this work, we present a weakly supervised sentence extraction technique
for identifying important sentences in scientific papers that are worthy of
inclusion in the abstract. We propose a new attention based deep learning
architecture that jointly learns to identify important content, as well as the
cue phrases that... | computer science |
8,977 | Towards a Continuous Knowledge Learning Engine for Chatbots | cs.CL | Although chatbots have been very popular in recent years, they still have
some serious weaknesses which limit the scope of their applications. One major
weakness is that they cannot learn new knowledge during the conversation
process, i.e., their knowledge is fixed beforehand and cannot be expanded or
updated during co... | computer science |
8,978 | Generating High-Quality Query Suggestion Candidates for Task-Based
Search | cs.IR | We address the task of generating query suggestions for task-based search.
The current state of the art relies heavily on suggestions provided by a major
search engine. In this paper, we solve the task without reliance on search
engines. Specifically, we focus on the first step of a two-stage pipeline
approach, which i... | computer science |
8,979 | Towards an Understanding of Entity-Oriented Search Intents | cs.IR | Entity-oriented search deals with a wide variety of information needs, from
displaying direct answers to interacting with services. In this work, we aim to
understand what are prominent entity-oriented search intents and how they can
be fulfilled. We develop a scheme of entity intent categories, and use them to
annotat... | computer science |
8,980 | Visualizing the Flow of Discourse with a Concept Ontology | cs.CL | Understanding and visualizing human discourse has long being a challenging
task. Although recent work on argument mining have shown success in classifying
the role of various sentences, the task of recognizing concepts and
understanding the ways in which they are discussed remains challenging. Given
an email thread or ... | computer science |
8,981 | ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization
Tasks | cs.IR | Evaluation of summarization tasks is extremely crucial to determining the
quality of machine generated summaries. Over the last decade, ROUGE has become
the standard automatic evaluation measure for evaluating summarization tasks.
While ROUGE has been shown to be effective in capturing n-gram overlap between
system and... | computer science |
8,982 | Explain Yourself: A Natural Language Interface for Scrutable Autonomous
Robots | cs.CL | Autonomous systems in remote locations have a high degree of autonomy and
there is a need to explain what they are doing and why in order to increase
transparency and maintain trust. Here, we describe a natural language chat
interface that enables vehicle behaviour to be queried by the user. We obtain
an interpretable ... | computer science |
8,983 | Expert Finding in Heterogeneous Bibliographic Networks with
Locally-trained Embeddings | cs.IR | Expert finding is an important task in both industry and academia. It is
challenging to rank candidates with appropriate expertise for various queries.
In addition, different types of objects interact with one another, which
naturally forms heterogeneous information networks. We study the task of expert
finding in hete... | computer science |
8,984 | Automatic Detection of Online Jihadist Hate Speech | cs.CL | We have developed a system that automatically detects online jihadist hate
speech with over 80% accuracy, by using techniques from Natural Language
Processing and Machine Learning. The system is trained on a corpus of 45,000
subversive Twitter messages collected from October 2014 to December 2016. We
present a qualitat... | computer science |
8,985 | Think you have Solved Question Answering? Try ARC, the AI2 Reasoning
Challenge | cs.AI | We present a new question set, text corpus, and baselines assembled to
encourage AI research in advanced question answering. Together, these
constitute the AI2 Reasoning Challenge (ARC), which requires far more powerful
knowledge and reasoning than previous challenges such as SQuAD or SNLI. The ARC
question set is part... | computer science |
8,986 | Speech Emotion Recognition Considering Local Dynamic Features | cs.HC | Recently, increasing attention has been directed to the study of the speech
emotion recognition, in which global acoustic features of an utterance are
mostly used to eliminate the content differences. However, the expression of
speech emotion is a dynamic process, which is reflected through dynamic
durations, energies,... | computer science |
8,987 | The predictability of letters in written english | cs.CL | We show that the predictability of letters in written English texts depends
strongly on their position in the word. The first letters are usually the least
easy to predict. This agrees with the intuitive notion that words are well
defined subunits in written languages, with much weaker correlations across
these units t... | computer science |
8,988 | Parallelizing Word2Vec in Shared and Distributed Memory | cs.DC | Word2Vec is a widely used algorithm for extracting low-dimensional vector
representations of words. It generated considerable excitement in the machine
learning and natural language processing (NLP) communities recently due to its
exceptional performance in many NLP applications such as named entity
recognition, sentim... | computer science |
8,989 | Toric grammars: a new statistical approach to natural language modeling | stat.ML | We propose a new statistical model for computational linguistics. Rather than
trying to estimate directly the probability distribution of a random sentence
of the language, we define a Markov chain on finite sets of sentences with many
finite recurrent communicating classes and define our language model as the
invarian... | computer science |
8,990 | Authorship Analysis based on Data Compression | cs.CL | This paper proposes to perform authorship analysis using the Fast Compression
Distance (FCD), a similarity measure based on compression with dictionaries
directly extracted from the written texts. The FCD computes a similarity
between two documents through an effective binary search on the intersection
set between the ... | computer science |
8,991 | Automated Attribution and Intertextual Analysis | cs.CL | In this work, we employ quantitative methods from the realm of statistics and
machine learning to develop novel methodologies for author attribution and
textual analysis. In particular, we develop techniques and software suitable
for applications to Classical study, and we illustrate the efficacy of our
approach in sev... | computer science |
8,992 | Identifying missing dictionary entries with frequency-conserving context
models | cs.CL | In an effort to better understand meaning from natural language texts, we
explore methods aimed at organizing lexical objects into contexts. A number of
these methods for organization fall into a family defined by word ordering.
Unlike demographic or spatial partitions of data, these collocation models are
of special i... | computer science |
8,993 | Models of retrieval in sentence comprehension: A computational
evaluation using Bayesian hierarchical modeling | cs.CL | Research on interference has provided evidence that the formation of
dependencies between non-adjacent words relies on a cue-based retrieval
mechanism. Two different models can account for one of the main predictions of
interference, i.e., a slowdown at a retrieval site, when several items share a
feature associated wi... | computer science |
8,994 | Crowdsourcing Dialect Characterization through Twitter | cs.CL | We perform a large-scale analysis of language diatopic variation using
geotagged microblogging datasets. By collecting all Twitter messages written in
Spanish over more than two years, we build a corpus from which a carefully
selected list of concepts allows us to characterize Spanish varieties on a
global scale. A clu... | computer science |
8,995 | The Role of Emotions in Propagating Brands in Social Networks | cs.SI | A key aspect of word of mouth marketing are emotions. Emotions in texts help
propagating messages in conventional advertising. In word of mouth scenarios,
emotions help to engage consumers and incite to propagate the message further.
While the function of emotions in offline marketing in general and word of
mouth marke... | computer science |
8,996 | Using Twitter to predict football outcomes | stat.ML | Twitter has been proven to be a notable source for predictive modelling on
various domains such as the stock market, the dissemination of diseases or
sports outcomes. However, such a study has not been conducted in football
(soccer) so far. The purpose of this research was to study whether data mined
from Twitter can b... | computer science |
8,997 | Building Subject-aligned Comparable Corpora and Mining it for Truly
Parallel Sentence Pairs | cs.CL | Parallel sentences are a relatively scarce but extremely useful resource for
many applications including cross-lingual retrieval and statistical machine
translation. This research explores our methodology for mining such data from
previously obtained comparable corpora. The task is highly practical since
non-parallel m... | computer science |
8,998 | Polish -English Statistical Machine Translation of Medical Texts | cs.CL | This new research explores the effects of various training methods on a
Polish to English Statistical Machine Translation system for medical texts.
Various elements of the EMEA parallel text corpora from the OPUS project were
used as the basis for training of phrase tables and language models and for
development, tunin... | computer science |
8,999 | Comparison and Adaptation of Automatic Evaluation Metrics for Quality
Assessment of Re-Speaking | cs.CL | Re-speaking is a mechanism for obtaining high quality subtitles for use in
live broadcast and other public events. Because it relies on humans performing
the actual re-speaking, the task of estimating the quality of the results is
non-trivial. Most organisations rely on humans to perform the actual quality
assessment, ... | computer science |
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