A quantum geometric model of similarity

No other study has had as great an impact on the development of the similarity literature as that of Tversky (1977), which provided compelling demonstrations against all the fundamental assumptions of the popular, and extensively employed, geometric similarity models. Notably, similarity judgments were shown to violate symmetry and the triangle inequality, and also be subject to context effects, so that the same pair of items would be rated differently, depending on the presence of other items. Quantum theory provides a generalized geometric approach to similarity and can address several of Tversky’s (1997) main findings. Similarity is modeled as quantum probability, so that asymmetries emerge as order effects, and the triangle equality violations and the diagnosticity effect can be related to the context-dependent properties of quantum probability. We so demonstrate the promise of the quantum approach for similarity and discuss the implications for representation theory in general

A granular approach to web search result presentation

In this paper we propose and evaluate interfaces for presenting the results of web searches. Sentences, taken from the top retrieved documents, are used as fine-grained representations of document content and, when combined in a ranked list, to provide a query-specific overview of the set of retrieved documents. Current search engine interfaces assume users examine such results document-by-document. In contrast our approach groups, ranks and presents the contents of the top ranked document set. We evaluate our hypotheses that the use of such an approach can lead to more effective web searching and to increased user satisfaction. Our evaluation, with real users and different types of information seeking scenario, showed, with statistical significance, that these hypotheses hold

A Potentiality and Conceptuality Interpretation of Quantum Physics

We elaborate on a new interpretation of quantum mechanics which we introduced recently. The main hypothesis of this new interpretation is that quantum particles are entities interacting with matter conceptually, which means that pieces of matter function as interfaces for the conceptual content carried by the quantum particles. We explain how our interpretation was inspired by our earlier analysis of non-locality as non-spatiality and a specific interpretation of quantum potentiality, which we illustrate by means of the example of two interconnected vessels of water. We show by means of this example that philosophical realism is not in contradiction with the recent findings with respect to Leggett's inequalities and their violations. We explain our recent work on using the quantum formalism to model human concepts and their combinations and how this has given rise to the foundational ideas of our new quantum interpretation. We analyze the equivalence of meaning in the realm of human concepts and coherence in the realm of quantum particles, and how the duality of abstract and concrete leads naturally to a Heisenberg uncertainty relation. We illustrate the role played by interference and entanglement and show how the new interpretation explains the problems related to identity and individuality in quantum mechanics. We put forward a possible scenario for the emergence of the reality of macroscopic objects.Comment: 20 pages, 1 figur

Neural Vector Spaces for Unsupervised Information Retrieval

We propose the Neural Vector Space Model (NVSM), a method that learns representations of documents in an unsupervised manner for news article retrieval. In the NVSM paradigm, we learn low-dimensional representations of words and documents from scratch using gradient descent and rank documents according to their similarity with query representations that are composed from word representations. We show that NVSM performs better at document ranking than existing latent semantic vector space methods. The addition of NVSM to a mixture of lexical language models and a state-of-the-art baseline vector space model yields a statistically significant increase in retrieval effectiveness. Consequently, NVSM adds a complementary relevance signal. Next to semantic matching, we find that NVSM performs well in cases where lexical matching is needed. NVSM learns a notion of term specificity directly from the document collection without feature engineering. We also show that NVSM learns regularities related to Luhn significance. Finally, we give advice on how to deploy NVSM in situations where model selection (e.g., cross-validation) is infeasible. We find that an unsupervised ensemble of multiple models trained with different hyperparameter values performs better than a single cross-validated model. Therefore, NVSM can safely be used for ranking documents without supervised relevance judgments.Comment: TOIS 201

Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking

Deep neural networks have become a primary tool for solving problems in many fields. They are also used for addressing information retrieval problems and show strong performance in several tasks. Training these models requires large, representative datasets and for most IR tasks, such data contains sensitive information from users. Privacy and confidentiality concerns prevent many data owners from sharing the data, thus today the research community can only benefit from research on large-scale datasets in a limited manner. In this paper, we discuss privacy preserving mimic learning, i.e., using predictions from a privacy preserving trained model instead of labels from the original sensitive training data as a supervision signal. We present the results of preliminary experiments in which we apply the idea of mimic learning and privacy preserving mimic learning for the task of document re-ranking as one of the core IR tasks. This research is a step toward laying the ground for enabling researchers from data-rich environments to share knowledge learned from actual users' data, which should facilitate research collaborations.Comment: SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17)}{}{August 7--11, 2017, Shinjuku, Tokyo, Japa

When conventional procedures are no longer the rule for application: design as a discipline opens up to new possibilities

This paper discusses the development of the prototype application ‘LabanAssist’. It looks at the design rationale used for the creation of what is fundamentally a system for recording dance knowledge on a score, as identifiable and replicable signs and symbols. A system made necessary because the conventions of other established disciplines, such as engineering and computer science practices, were no longer considered to be effective alone, in facilitating the production of well-designed cultural artefacts (Calvert, Fox, Ryman, & Wilke, 2005; Ebenreuter, 2005). It is important to ask how can we understand design as a discipline amongst other fields of study with longstanding conventions and traditions and if the discipline of design offers effective ways of thinking about the creation and art of making products or services for the enhancement of the human experience? Is design a discipline because it adheres to existing and established rules of interdisciplinary knowledge from which it draws, or is it a discipline in its own right that as a significant field of intellectual development utilizes interdisciplinary knowledge as a basis for creativity and invention?” While there is no simple answer to these questions, the design approach adopted for the development of the prototype application ‘LabanAssist’ offers a working example in which the central theme of grammar, or more particularly the rules of a language, depart from the conventional use for its practical application. This application is one in which a literal understanding of grammar is no longer seen as an adequate basis for the generation of dance knowledge expressed via symbolic writing systems. Instead, this research focuses on the way in which the figurative aspects of language can be represented in the design of an interface to orient user thinking and facilitate the generation of diverse movement compositions. Keywords: Labanotation; Grammar; Literal; Figurative; Tropes; Poetic Constructs; Broad Terms; Interface.</p

Two Dogmas of Analytical Philosophy

In his landmark article, “Two Dogmas of Empiricism,” W.V.O. Quine pushed analytical philosophy into its post-positivist phase by rejecting two central tenets of logical empiricism. The first dogma was the distinction between analytic and synthetic statements; the second was reductionism, or the belief that to each synthetic sentence there corresponds a set of experiences that will confirm or disconfirm it. But in both “Two Dogmas” and Word and Object, Quine stretches analytical philosophy to its limits. The problem is, ironically, his adherence to two separate dogmas. The first stems from Quine’s empiricism: he insists that there is nothing more to meaning than the empirical method of discovering it. The second has been taken as the defining characteristic of analytical philosophy;2 it is the belief that a philosophical account of thought can only be attained through an account of language – the famed “linguistic turn.” I will argue that a philosophical account of language can only be attained given an account of thought,3 and that the philosophies of Kant and Davidson can help us construct such an account

CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap

After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in multimedia search engines, we have identified and analyzed gaps within European research effort during our second year. In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio- economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal challenges