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Found 10 papers, 4 papers with code
FARA: Future-aware Ranking Algorithm for Fairness Optimization
However, we find that most existing fair ranking methods adopt greedy algorithms that only optimize rankings for the next immediate session or request.
Reward-free Policy Imitation Learning for Conversational Search
In this paper, we propose a reward-free conversation policy imitation learning framework, which can train a conversation policy without annotated conversation data or manually designed rewards.
An In-depth Investigation of User Response Simulation for Conversational Search
Our goal is to supplement existing work with an insightful hand-analysis of unsolved challenges by the baseline and propose our solutions.
Zero-shot Clarifying Question Generation for Conversational Search
In this work, we innovatively explore generating clarifying questions in a zero-shot setting to overcome the cold start problem and we propose a constrained clarifying question generation system which uses both question templates and query facets to guide the effective and precise question generation.
Marginal-Certainty-aware Fair Ranking Algorithm
In MCFair, we first develop a ranking objective that includes uncertainty, fairness, and user utility.
Simulating and Modeling the Risk of Conversational Search
These works assume asking clarifying questions is a safe alternative to retrieving results.
Controlling the Risk of Conversational Search via Reinforcement Learning
In this work, we propose a risk-aware conversational search agent model to balance the risk of answering user's query and asking clarifying questions.
Physical Distance Between Quantum States
We propose a physical distance between two quantum states.
Quantum Physics
ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English Tweets
This paper describes the ALANIS system that participated in Task 3 of SemEval-2018.
UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword Embedding
This paper describes the UMDSub system that participated in Task 2 of SemEval-2018.
