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1603.01514
A Bayesian Model of Multilingual Unsupervised Semantic Role Induction
# A Bayesian Model of Multilingual Unsupervised Semantic Role Induction ## Abstract We propose a Bayesian model of unsupervised semantic role induction in multiple languages, and use it to explore the usefulness of parallel corpora for this task. Our joint Bayesian model consists of individual models for each languag...
15
1610.00879
A Computational Approach to Automatic Prediction of Drunk Texting
# A Computational Approach to Automatic Prediction of Drunk Texting ## Abstract Alcohol abuse may lead to unsociable behavior such as crime, drunk driving, or privacy leaks. We introduce automatic drunk-texting prediction as the task of identifying whether a text was written when under the influence of alcohol. We ex...
10
1704.05572
Answering Complex Questions Using Open Information Extraction
# Answering Complex Questions Using Open Information Extraction ## Abstract While there has been substantial progress in factoid question-answering (QA), answering complex questions remains challenging, typically requiring both a large body of knowledge and inference techniques. Open Information Extraction (Open IE) ...
14
1705.09665
Community Identity and User Engagement in a Multi-Community Landscape
# Community Identity and User Engagement in a Multi-Community Landscape ## Abstract A community's identity defines and shapes its internal dynamics. Our current understanding of this interplay is mostly limited to glimpses gathered from isolated studies of individual communities. In this work we provide a systematic ...
14
1706.08032
A Deep Neural Architecture for Sentence-level Sentiment Classification in Twitter Social Networking
# A Deep Neural Architecture for Sentence-level Sentiment Classification in Twitter Social Networking ## Abstract This paper introduces a novel deep learning framework including a lexicon-based approach for sentence-level prediction of sentiment label distribution. We propose to first apply semantic rules and then us...
12
1809.10644
Predictive Embeddings for Hate Speech Detection on Twitter
# Predictive Embeddings for Hate Speech Detection on Twitter ## Abstract We present a neural-network based approach to classifying online hate speech in general, as well as racist and sexist speech in particular. Using pre-trained word embeddings and max/mean pooling from simple, fully-connected transformations of th...
14
1902.06843
Fusing Visual, Textual and Connectivity Clues for Studying Mental Health
# Fusing Visual, Textual and Connectivity Clues for Studying Mental Health ## Abstract With ubiquity of social media platforms, millions of people are sharing their online persona by expressing their thoughts, moods, emotions, feelings, and even their daily struggles with mental health issues voluntarily and publicly...
7
1910.03042
Gunrock: A Social Bot for Complex and Engaging Long Conversations
# Gunrock: A Social Bot for Complex and Engaging Long Conversations ## Abstract Gunrock is the winner of the 2018 Amazon Alexa Prize, as evaluated by coherence and engagement from both real users and Amazon-selected expert conversationalists. We focus on understanding complex sentences and having in-depth conversatio...
14
1910.06592
FacTweet: Profiling Fake News Twitter Accounts
# FacTweet: Profiling Fake News Twitter Accounts ## Abstract We present an approach to detect fake news in Twitter at the account level using a neural recurrent model and a variety of different semantic and stylistic features. Our method extracts a set of features from the timelines of news Twitter accounts by readin...
4
1910.11471
Machine Translation from Natural Language to Code using Long-Short Term Memory
# Machine Translation from Natural Language to Code using Long-Short Term Memory ## Abstract Making computer programming language more understandable and easy for the human is a longstanding problem. From assembly language to present day’s object-oriented programming, concepts came to make programming easier so that ...
13
1911.00523
What Gets Echoed? Understanding the"Pointers"in Explanations of Persuasive Arguments
# What Gets Echoed? Understanding the"Pointers"in Explanations of Persuasive Arguments ## Abstract Explanations are central to everyday life, and are a topic of growing interest in the AI community. To investigate the process of providing natural language explanations, we leverage the dynamics of the /r/ChangeMyView ...
15
2002.02070
Understanding Car-Speak: Replacing Humans in Dealerships
# Understanding Car-Speak: Replacing Humans in Dealerships ## Abstract A large portion of the car-buying experience in the United States involves interactions at a car dealership. At the dealership, the car-buyer relays their needs to a sales representative. However, most car-buyers are only have an abstract descript...
9
2004.04721
Translation Artifacts in Cross-lingual Transfer Learning
# Translation Artifacts in Cross-lingual Transfer Learning ## Abstract Both human and machine translation play a central role in cross-lingual transfer learning: many multilingual datasets have been created through professional translation services, and using machine translation to translate either the test set or th...
27