University of Amsterdam, Innovation Center for Artificial Intelligence
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Formal models for expert finding in enterprise corpora
This work presents two general strategies to expert searching given a document collection which are formalized using generative probabilistic models, and shows that the second strategy consistently outperforms the first.
Using WordNet to Measure Semantic Orientations of Adjectives
A graph-theoretic model of WordNet’s most important relation—synonymy—is investigated and measures that determine the semantic orientation of adjectives for three factors of subjective meaning are proposed.
Click Models for Web Search
This survey summarizes advances in modeling user click behavior on a web search engine result page and presents simple click models as well as more complex models aimed at improving search result ranking.
Adding semantics to microblog posts
This work proposes a novel method based on machine learning with a set of innovative features and is able to achieve significant improvements over all other methods, especially in terms of precision.
Siamese CBOW: Optimizing Word Embeddings for Sentence Representations
The Siamese Continuous Bag of Words model is presented, a neural network for efficient estimation of high-quality sentence embeddings and the robustness of theSiamese CBOW model is shown by evaluating it on 20 datasets stemming from a wide variety of sources.
Overview of the TREC 2006 Blog Track
The Blog track began this year, with the aim to explore the information seeking behaviour in the blogosphere, and a new large-scale test collection, namely the TREC Blog06 collection, has been created.
Overview of RepLab 2013: Evaluating Online Reputation Monitoring Systems
This paper summarizes the goals, organization, and results of the second RepLab competitive evaluation campaign for Online Reputation Management Systems RepLab 2013, which consists of more than 140,000 tweets annotated by a group of trained annotators supervised and monitored by reputation experts.
Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem
A sharp finite-time regret bound of order O(K log T) is proved on a very general class of dueling bandit problems that matches a lower bound proven in (Yue et al., 2012).
Short Text Similarity with Word Embeddings
This work proposes to go from word-level to text-level semantics by combining insights from methods based on external sources of semantic knowledge with word embeddings, and derives multiple types of meta-features from the comparison of the word vectors for short text pairs, and from the vector means of their respective word embedDings.