AKBC 2014

4th Workshop on Automated Knowledge Base Construction (AKBC) 2014

at NIPS 2014 in Montreal, Canada, December 13, 2014.

Supported by

Extracting knowledge from Web pages, and integrating it into a coherent knowledge base (KB) is a task that spans the areas of natural language processing, information extraction, information integration, databases, search, and machine learning. Recent years have seen significant advances here, both in academia and in the industry. Most prominently, all major search engine providers (Yahoo!, Microsoft Bing, and Google) nowadays experiment with semantic KBs. Our workshop serves as a forum for researchers on knowledge base construction in both academia and industry.

Unlike many other workshops, our workshop puts less emphasis on conventional paper submissions and presentations, but more on visionary papers and discussions. In addition, one of its unique characteristics is that it is centered on keynotes by high-profile speakers. AKBC 2010, AKBC 2012, and AKBC 2013 each had a dozen invited talks from leaders in this area from academia, industry, and government agencies. We had senior invited speakers from Google, Microsoft, Yahoo, several leading universities (MIT, University of Washington, CMU, University of Massachusetts, and more), and DARPA. With this year’s proposal, we would like to resume this positive experience. By inviting established researchers for keynotes, and by focusing particularly on vision paper submissions, we aim to provide a vivid forum of discussion about the field of automated knowledge base construction.

Topics of interest:

  • machine learning on text; unsupervised, lightly-supervised and distantly-supervised learning; learning from naturally-available data.
  • human-computer collaboration in knowledge base construction; automated population of wikis.
  • inference for graphical models and structured prediction; scalable approximate inference.
  • information extraction; open information extraction, named entity extraction; ontology construction;
  • entity resolution, relation extraction, information integration; schema alignment; ontology alignment; monolingual alignment, alignment between knowledge bases and text;
  • pattern analysis, semantic analysis of natural language, reading the web, learning by reading
  • databases; distributed information systems; probabilistic databases;
  • scalable computation; distributed computation.
  • queries on mixtures of structured and unstructured data; querying under uncertainty;
  • dynamic data, online/on-the-fly adaptation of knowledge.
  • languages, toolkits and systems for automated knowledge base construction.
  • demonstrations of existing automatically-built knowledge bases.

With this year’s workshop, we would like to resume the positive experiences from two previous workshops: AKBC-2010, AKBC-WEKEX-2012, and AKBC 2013. The AKBC-2014 workshop will serve as a forum for researchers working in the area of automated knowledge harvesting from text. By having invited talks by leading researchers from industry, academia, and the government, and by focusing particularly on vision papers, we aim to provide a vivid forum of discussion about the field of automated knowledge base construction.

Tom Mitchell Carnegie Mellon University, USA
Andrew McCallum University of Massachusetts, Amherst, USA
Chris Re Stanford University
Oren Etzioni CEO, Allen Institute for Artificial Intelligence
Ramanathan Guha Google
William Cohen Carnegie Mellon University, USA
Hoifung Poon Microsoft Research
Jason Weston Facebook Research
Boyan Onyshkevych DARPA
Kevin Murphy Google Research

Saturday, December 13th, 2014

Start End Speaker Title
8:30 8:45 Fabian Suchanek Welcome Message (slides)
8:45 9:15 Tom Mitchell [Video]
9:15 9:45 Andrew McCallum Representation & Reasoning with Universal Schema & Embedded Representations [Video]
9:45 10:00 Peter Clark Contributed Talk: Automatic Construction of Inference-Supporting Knowledge Bases [Video]
10:00 11:00 Poster Session + Break
11:00 11:30 Chris Re [Video]
11:30 11:45 Arvind Neelakantan Contributed Talk: Knowledge Base Completion using Compositional Vector Space Models [Video]
11:45 12:00 Ari Kobren Contributed Talk: Domain Specific Knowledge Base Construction via Crowdsourcing [Video]
12:00 12:30 Oren Etzioni The View from AI2 (Slides)
12:30 2:30 Lunch + Poster Session
2:30 3:00 Ramanathan Guha Schema.org [Video]
3:00 3:30 William Cohen Scalable Joint Inference and Reasoning in Automatic KB Construction (Slides) [Video]
3:30 4:00 Hoifung Poon Machine Reading for Cancer Panomics (Slides) [Video]
4:00 5:00 Poster Session + Break
5:00 5:30 Jason Weston Embeddings for KB and text representation, extraction and question answering (Slides) [Video]
5:30 6:00 Boyan Onyshkevych KB Representation of Text, Audio, Images, and Video (Slides) [Video]
6:00 6:30 Kevin Murphy [Video]

Contributed Talks

Arvind Neelakantan, Benjamin Roth and Andrew Mccallum. Knowledge Base Completion using Compositional Vector Space Models PDF
Peter Clark, Niranjan Balasubramanian, Sumithra Bhakthavatsalam, Kevin Humphreys, Jesse Kinkead, Ashish Sabharwal, and Oyvind Tafjord. Automatic Construction of Inference-Supporting Knowledge Bases PDF
Ari Kobren, Thomas Logan, Siddarth Sampangi and Andrew McCallum. Domain Specific Knowledge Base Construction via Crowdsourcing PDF


Adrian Benton, Jay Deyoung, Adam Teichert, Mark Dredze, Benjamin Van Durme, Stephen Mayhew and Max Thomas. Faster (and Better) Entity Linking with Cascades PDF
Ning Gao, Douglas Oard and Mark Dredze. A Test Collection for Email Entity Linking PDF
Derry Tanti Wijaya, Ndapandula Nakashole and Tom Mitchell. Mining and Organizing a Resource of State-changing Verbs PDF
Jakob Huber, Christian Meilicke and Heiner Stuckenschmidt. Applying Markov Logic for Debugging Probabilistic Temporal Knowledge Bases PDF
Ramanathan Guha. Correlating Entities PDF
Tomasz Tylenda, Sarath Kumar Kondreddi and Gerhard Weikum. Spotting Knowledge Base Facts in Web Texts PDF
Bhavana Dalvi and William Cohen. Multi-view Exploratory Learning for AKBC Problems PDF
Alexander G. Ororbia Ii, Jian Wu and C. Lee Giles. CiteSeerX: Intelligent Information Extraction and Knowledge Creation from Web-Based Data PDF
Adam Grycner, Gerhard Weikum, Jay Pujara, James Foulds and Lise Getoor. A Unified Probabilistic Approach for Semantic Clustering of Relational Phrases PDF
Ndapandula Nakashole and Tom M. Mitchell. Micro Reading with Priors: Towards Second Generation Machine Readers PDF
Edouard Grave. Weakly supervised named entity classification PDF
Lucas Sterckx, Thomas Demeester, Johannes Deleu and Chris Develder. Using Semantic Clustering and Active Learning for Noise Reduction in Distant Supervision PDF
Francis Ferraro, Max Thomas, Matthew Gormley, Travis Wolfe, Craig Harman and Benjamin Van Durme. Concretely Annotated Corpora PDF
Luis Galárraga and Fabian M. Suchanek. Towards a Numerical Rule Mining Language PDF
Bishan Yang and Claire Cardie. Improving on Recall Errors for Coreference Resolution PDF
Chandra Sekhar Bhagavatula, Thanapon Noraset and Doug Downey. TextJoiner: On-demand Information Extraction with Multi-Pattern Queries PDF
Benjamin Roth, Emma Strubell, Katherine Silverstein and Andrew Mccallum. Minimally Supervised Event Argument Extraction using Universal Schema PDF
Mathias Niepert and Sameer Singh. Out of Many, One: Unifying Web-Extracted Knowledge Bases PDF
Laura Dietz, Michael Schuhmacher and Simone Paolo Ponzetto. Queripidia: Query-specific Wikipedia Construction PDF
Jay Pujara and Lise Getoor. Building Dynamic Knowledge Graphs PDF

We welcome ongoing and exciting preliminary work. We are particularly interested in visionary paper submissions. We aim for papers that express intriguing and promising ideas — focusing less on where science is today and more on where it should go tomorrow. All accepted papers will be presented as posters, with exceptional submissions also presented as oral talks.

Please format your papers using the standard NIPS Style files, and restrict it to 4 pages (excluding references). Since the reviewing will not be double blind, please include author information and the \nipsfinalcopy flag. Note that you don't have to include a separate Abstract section in the submission.

Camera-ready Instructions

Please use the above instructions, and the following link, to update your submission for camera-ready. The page limit for the camera-ready has been expanded to 5 pages (+ references). The camera-ready submissions are due by November 28.

Submit »

Every talk should be accompanied by a poster. The maximal poster width is 1 meter (3 feet), which corresponds to A0 in portait orientation.

For any questions, please mail info@akbc.ws

Program Committee

  • Ralf Schenkel
  • Ndapandula Nakashole
  • Jayant Krishnamurthy
  • Anthony Platanios
  • Niranjan Balasubramanian
  • Nicoleta Preda
  • Alan Akbik
  • Xiao Ling
  • Alan Ritter
  • Gerhard Weikum
  • Andreas Vlachos
  • Doug Downey
  • Tim Rocktaeschel
  • Arvind Neelakantan
  • Gabor Angeli
  • Limin Yao
  • James Mayfield
  • Bhavana Dalvi
  • Michael Wick
  • Estevam Hruschka Junior
  • Hoifung Poon
  • Jason Naradowsky
  • James Fan
  • Alon Halevy
  • Steffen Staab
  • Ramanathan Guha