Human Computation Game for Commonsense Data Verification
نویسندگان
چکیده
Games With A Purpose (or GWAP) provide an effective way to collect data from web users. As the data grow over time, it becomes increasingly important to verify the data collected. This research explores the design of two games, Top10 and Pirate & Ghost, for verification of sentences in our Common Sense Knowledge Base (CSKB) collected via the Virtual Pets game. Top10 is a single-player game, in which the player attempts to guess the top answers to a given question. The frequency of common answers is used as the verification. Pirate & Ghost is a multi-player role-playing game, in which players cooperate to navigate to a target. The common routes are used to verify relations among concepts in the CSKB. This paper presents the experiments to evaluate the performance of each game, and shows how the games can be coupled to achiever higher efficiency and precision.
منابع مشابه
ACTraversal: Ranking Crowdsourced Commonsense Assertions and Certifications
Building commonsense knowledge bases is a challenging undertaking. While we have witnessed the successful collection of large amounts of commonsense knowledge by either automatic text mining or games with a purpose (GWAP), such data are of limited precision. Verifying data is typically done with repetition, which works better for very large data sets. Our research proposes a novel approach to d...
متن کاملThe Concept Game: Better Commonsense Knowledge Extraction by Combining Text Mining and a Game with a Purpose
Common sense collection has long been an important subfield of AI. This paper introduces a combined architecture for commonsense harvesting by text mining and a game with a purpose. The text miner module uses a seed set of known facts (sampled from ConceptNet) as training data and produces candidate commonsense facts mined from corpora. The game module taps humans’ knowledge about the world by ...
متن کاملConstructing Context-Aware Sentiment Lexicons with an Asynchronous Game with a Purpose
One of the reasons sentiment lexicons do not reach human-level performance is that they lack the contexts that define the polarities of words. While obtaining this knowledge through machine learning would require huge amounts of data, context is commonsense knowledge for people, so human computation is a better choice. We identify context using a game with a purpose that increases the workers’ ...
متن کاملCapability-aligned matching: improving quality of games with a purpose
So far computer cannot satisfyingly solve many tasks that are extremely easy for human, such as image recognition or common sense reasoning. A partial solution is to delegate algorithmically difficult computation task to human, called human computation. The Game with a Purpose (GWAP), in which computational task is transformed into a game, is perhaps the most popular form of human computation. ...
متن کاملCommon Consensus: a web-based game for collecting commonsense goals
In our research on Commonsense reasoning, we have found that an especially important kind of knowledge is knowledge about human goals. Especially when applying Commonsense reasoning to interface agents, we need to recognize goals from user actions (plan recognition), and generate sequences of actions that implement goals (planning). We also often need to answer more general questions about the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010