From the website:
The Text Analysis Conference (TAC) is a series of evaluation workshops organized to encourage research in Natural Language Processing and related applications, by providing a large test collection, common evaluation procedures, and a forum for organizations to share their results. TAC comprises sets of tasks known as “tracks,” each of which focuses on a particular subproblem of NLP. TAC tracks focus on end-user tasks, but also include component evaluations situated within the context of end-user tasks.
- Knowledge Base Population
The goal of the Knowledge Base Population track is to develop systems that can augment an existing knowledge representation (based on Wikipedia infoboxes) with information about entities that is discovered from a collection of documents.
- Recognizing Textual Entailment
The goal of the RTE Track is to develop systems that recognize when one piece of text entails another.
The goal of the Summarization Track is to develop systems that produce short, coherent summaries of text.
Sponsored by the U.S. Department of Defense.
Rumor has it that one intelligence analysis group won a DoD contract without hiring an ex-general. If you get noticed by a prime contractor here, perhaps you won’t have to either. The primes have lots of ex-generals/colonels, etc.
- Select a paper from one of the TAC conferences. Update on the status of that research. (3-5 pages, citations)
- For the authors of #1, annotated bibliography of publications since the paper.
- How would you use the technique from #1 in the construction of a topic map? Inform your understanding, selection, data for that map, etc.? (3-5 pages, no citations)
(Yes, I stole the questions from my DUC conference posting. )