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Open-Ended Question Answering

Open-ended questions are defined as those that simply pose the question, without imposing any constraints on the format of the response. This distinguishes them from questions with a predetermined answer format.

Papers

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Showing 776–796 of 796 papers

TitleStatusHype
Open Question Answering with Weakly Supervised Embedding Models—0
On the Role of Canonicity in Bottom-up Knowledge Compilation—0
Two-stage Sampled Learning Theory on Distributions—0
Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classification—0
Rounding Sum-of-Squares Relaxations—0
Fair assignment of indivisible objects under ordinal preferences—0
Info-computational constructivism in modelling of life as cognition—0
Paraphrase-Driven Learning for Open Question Answering—0
Coalitional Manipulation for Schulze's Rule—0
The price of bandit information in multiclass online classification—0
A Linearly Convergent Conditional Gradient Algorithm with Applications to Online and Stochastic Optimization—0
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses—0
Learning the Architecture of Sum-Product Networks Using Clustering on Variables—0
Active and passive learning of linear separators under log-concave distributions—0
Prediction of Non-Linguistic Information of Spontaneous Speech from the Prosodic Annotation: Evaluation of the X-JToBI system—0
Efficient Online Learning via Randomized Rounding—0
The Fixed Points of Off-Policy TD—0
Efficient Transductive Online Learning via Randomized Rounding—0
Sample Complexity of Testing the Manifold Hypothesis—0
Reinforcement Learning via AIXI Approximation—0
A Monte Carlo AIXI ApproximationCode0
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