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- research-articleApril 2017
CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
WWW '17: Proceedings of the 26th International Conference on World Wide WebPages 1015–1024https://doi.org/10.1145/3038912.3052708Extracting entities and relations for types of interest from text is important for understanding massive text corpora. Traditionally, systems of entity relation extraction have relied on human-annotated corpora for training and adopted an incremental ...
- research-articleApril 2017
Detecting Duplicate Posts in Programming QA Communities via Latent Semantics and Association Rules
WWW '17: Proceedings of the 26th International Conference on World Wide WebPages 1221–1229https://doi.org/10.1145/3038912.3052701Programming community-based question-answering (PCQA) websites such as Stack Overflow enable programmers to find working solutions to their questions. Despite detailed posting guidelines, duplicate questions that have been answered are frequently ...
- research-articleApril 2017
When Confidence and Competence Collide: Effects on Online Decision-Making Discussions
WWW '17: Proceedings of the 26th International Conference on World Wide WebPages 1381–1390https://doi.org/10.1145/3038912.3052681Group discussions are a way for individuals to exchange ideas and arguments in order to reach better decisions than they could on their own. One of the premises of productive discussions is that better solutions will prevail, and that the idea selection ...
- research-articleApril 2017
Adverse Drug Event Detection in Tweets with Semi-Supervised Convolutional Neural Networks
WWW '17: Proceedings of the 26th International Conference on World Wide WebPages 705–714https://doi.org/10.1145/3038912.3052671Current Adverse Drug Events (ADE) surveillance systems are often associated with a sizable time lag before such events are published. Online social media such as Twitter could describe adverse drug events in real-time, prior to official reporting. Deep ...
- research-articleApril 2017
Competition and Selection Among Conventions
WWW '17: Proceedings of the 26th International Conference on World Wide WebPages 1361–1370https://doi.org/10.1145/3038912.3052652In many domains, a latent competition among different conventions determines which one will come to dominate. One sees such effects in the success of community jargon, of competing frames in political rhetoric, or of terminology in technical contexts. ...
- research-articleApril 2017
Learning to Extract Events from Knowledge Base Revisions
WWW '17: Proceedings of the 26th International Conference on World Wide WebPages 1007–1014https://doi.org/10.1145/3038912.3052646Broad-coverage knowledge bases (KBs) such as Wikipedia, Freebase, Microsoft's Satori and Google's Knowledge Graph contain structured data describing real-world entities. These data sources have become increasingly important for a wide range of ...
- research-articleApril 2017
Enhancing Feature Selection Using Word Embeddings: The Case of Flu Surveillance
WWW '17: Proceedings of the 26th International Conference on World Wide WebPages 695–704https://doi.org/10.1145/3038912.3052622Health surveillance systems based on online user-generated content often rely on the identification of textual markers that are related to a target disease. Given the high volume of available data, these systems benefit from an automatic feature ...
- research-articleApril 2017
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification
- Jan Deriu,
- Aurelien Lucchi,
- Valeria De Luca,
- Aliaksei Severyn,
- Simon Müller,
- Mark Cieliebak,
- Thomas Hofmann,
- Martin Jaggi
WWW '17: Proceedings of the 26th International Conference on World Wide WebPages 1045–1052https://doi.org/10.1145/3038912.3052611This paper presents a novel approach for multi-lingual sentiment classification in short texts. This is a challenging task as the amount of training data in languages other than English is very limited. Previously proposed multi-lingual approaches ...
- research-articleApril 2017
Tools for Automated Analysis of Cybercriminal Markets
- Rebecca S. Portnoff,
- Sadia Afroz,
- Greg Durrett,
- Jonathan K. Kummerfeld,
- Taylor Berg-Kirkpatrick,
- Damon McCoy,
- Kirill Levchenko,
- Vern Paxson
WWW '17: Proceedings of the 26th International Conference on World Wide WebPages 657–666https://doi.org/10.1145/3038912.3052600Underground forums are widely used by criminals to buy and sell a host of stolen items, datasets, resources, and criminal services. These forums contain important resources for understanding cybercrime. However, the number of forums, their size, and the ...
- research-articleApril 2017
Ex Machina: Personal Attacks Seen at Scale
WWW '17: Proceedings of the 26th International Conference on World Wide WebPages 1391–1399https://doi.org/10.1145/3038912.3052591The damage personal attacks cause to online discourse motivates many platforms to try to curb the phenomenon. However, understanding the prevalence and impact of personal attacks in online platforms at scale remains surprisingly difficult. The ...
- research-articleApril 2017
Almond: The Architecture of an Open, Crowdsourced, Privacy-Preserving, Programmable Virtual Assistant
WWW '17: Proceedings of the 26th International Conference on World Wide WebPages 341–350https://doi.org/10.1145/3038912.3052562This paper presents the architecture of Almond, an open, crowdsourced, privacy-preserving and programmable virtual assistant for online services and the Internet of Things (IoT). Included in Almond is Thingpedia, a crowdsourced public knowledge base of ...