Cognitive Science Colloquia are held* throughout the year and consist of seminars/talks given by invited speakers from various universities, as well as seminars by the METU staff or our own PhD students. The Colloquia aim to share information on cognitive science research, as well as promote academic research and collaboration. The seminars are open to anyone interested and provide an opportunity for our students to keep up with the recent research conducted in the field, allowing them to observe how research topics develop through academic exchange.
* Unless it is announced otherwise, seminars take place every Wednesday at 12:40, in the Informatics Institute (room II-03), METU.
For past years' colloquia, please visit here.
NEXT IN THE SERIES > Catastrophic Risk Modeling and its Pricing in Insurance
by Sevtap Kestel (Actuarial Sciences, METU)
on 17th of April, Wednesday, 12:40
in METU Informatics Institute, Ural Akbulut Lecture Hall
Abstract Increasing prevalence of natural catastrophes due to population growth and global climate change propelled the insurance market to create sophisticated models and financial devices to offer protection against calamitous events such hurricanes, droughts, landslides, earthquakes and others. Uncertainty in the occurrence of these events and the financial losses that they may cause requires quantification of the risk and its financial impact. It is crucial to understand how catastrophe models are developed with repect to their underlying factors. Focused on earthquake, the techniques which enables us to measure the risk and its pricing in insurance and reinsurance markets are presented with examples.
This Year (2018-2019)
The truth is not always that easy to remember: The effects of generating lies on memory predictions and actual memory performance
by Miri Besken (Psychology, Bilkent Uni.)
on 10th of April
Abstract Generating lies takes a longer time, requires more effort and is frequently considered to be less fluent, as compared to telling the truth. Clearly, more effortful and less fluent tasks typically increase memory performance and sometimes decrease memory predictions, but this claim has not been investigated within the realm of lie generation paradigms. In this talk, I will discuss the effects of generating lies on memory predictions and actual memory performance through three separate lie-generation manipulations. These manipulations involve lying about general knowledge questions, lying about personal semantic information and lying about episodic incidents. This line of research reveals that generating lies also increases actual memory performance and decreases one’s memory predictions about those items, just like other effortful and disfluent manipulations. However, the type of task used, the level of motivation to lie and the type of memory test used may also moderate the effects of lying on both memory predictions and actual memory performance.
Modeling Hereditary and Behavioral Patterns of Facial Expressions
by Hamdi Dibeklioğlu (Computer Engineering, Bilkent Uni.)
on 3rd of April
Abstract Over the last two decades, computational analysis of facial expressions has been a very active area of research. Today, following the recent dramatic advances in the fields of machine learning and computer vision, we are able to model subtle and complex patterns of facial responses in a reliable manner. Our findings indicate that facial expressions do not only reveal instant emotional state of individuals but also display hereditary and behavioral characteristics. This talk will focus on deep architectures to model such patterns for various tasks such as recognizing preferences, assessing psychopathology, and predicting how your future child's expressions look like.
I feel cared for therefore I am well: The influence of close relationships on health and happiness
by Emre Selçuk (Psychology, METU)
on 20th of March
Abstract It has long been demonstrated that social relationships, especially those of attachment and mating variety, affects health and well-being. But a key question remains: How? Recent work in our lab aims to address this question using multiple methods including experimental, longitudinal, observational, and daily experience approaches and focusing on processes at multiple levels of analysis ranging from behavior to affect to physiology. The present talk will showcase studies from this research program documenting how partner responsiveness—the extent to which individuals believe that their partner cares for, understands, and appreciates them—is linked to mechanisms leading to health and well-being in the long run. I will discuss evidence that partner responsiveness buffers against stress reactivity, moderates the extent to which individuals benefit from social support, promotes health behaviors, and (possibly) alters long-term functioning of stress regulation systems, all of which influence later physical health and psychological well-being. Altogether the findings offer a window into the mechanisms of how relationships get to affect personal well-being.
Anlam-Biçim Eşleme Problemi Açısından Türkçede Çok Sözcüklü İfadeler
by Özkan Aslan (Cognitive Science, METU)
on 13th of March
Abstract Çok Sözcüklü İfadelerin (ÇSİ) tanınması problemi, hem Varlık İsmi Tanıma, hem de mecazi kullanım tanıma problemlerinden farklıdır. Doğal Dil İşleme Alanında ÇSİ'lerle ilgili genel anlayış, bunların işleme sırasında ayrıştırma yapmadan kalıp halinde alınması gereken ifadeler olduklarıdır. Ancak ÇSİ'ler özel deyim olarak çok farklı üretkenlikte ve sözdizimsel karmaşıklıkta karşımıza çıkabilmektedir. Biz ÇSİ-deyimlerin, aslında yakından bakıldığında istisnai değil bileşimsel ayrıştırmanın özel kategorilerle yapılmış hali olduklarını iddia ediyoruz. Bunu, grameri sözcük bilgisine indirgeyen kuramlarla modellediğimizde, uzun varlık isimlerinden ve mecazdan farklı kullanımlarının da öğrenilebilir olduğunu düşünmekteyiz. Bu bağlamda Combinatory Categorial Grammar (CCG) kuramını ve CCG modelleme, gramer öğrenme ve ayrıştırma yazılımlarını kullanıyoruz.
Academic Writing: An Overview
by Deniz Saydam & Esin Savul (Academic Writing Center, METU)
on 6th of March
Abstract This presentation aims to give an overview of the basic structure of academic writing, the ways to avoid plagiarism, and the citation methods (quoting, paraphrasing and summarizing) and to make some general suggestions on academic writing.
Expanding Existing Wordnets to New Languages
by Gönenç Ercan (Informatics, Hacettepe Uni.)
on 27th of February
Abstract Wordnet is a resource providing lexical knowledge in combination with a network of word meanings and their relationships. Word senses are organized using relationship types motivated by early psycholinguistic studies. Wordnet as a natural language resource accommodates a large body of research, yet it is still not available for many languages. Many projects have been and are still being proposed to build Wordnets for different languages. Even a translation based approach is reported to be an arduous work requiring experts to spend days on the task. As more resources including computational power became available, automated Wordnet construction methods emerged. While most methods combine several resources to translate Princeton Wordnet to a target language, we hypothesize that when words and their translations are observed for a large number of languages, it is possible to construct Wordnets for all the languages in the translation graph without requiring any additional resource. In this talk, we will discuss our work on building a multilingual Wordnet and the built resource which includes Wordnets for more than 40 languages.
Basic Tenets of Cognitive Science
by Ceyhan Temürcü (Cognitive Science, METU)
on 20th of February
Type of expression and type of reference in a layered DRT
by Ceyhan Temürcü (Cognitive Science, METU)
on 4th of January
Abstract In this talk I will describe A-DRT, which is a multi-layered DRT and use it (i) to distinguish type of reference (explicit vs. implicit reference) from type of expression (presupposition vs. new information) (ii) to evaluate approaches that identify semantics with truth-conditional interpretation, and (iii) contribute to our understanding of presupposition and inference.
Multi-word expressions, meaning, and compositionality
by Cem Bozşahin (Cognitive Science, METU)
on 21st of December
Abstract Multi-word expressions, verb-particle constructions, idiomatically combining phrases, and phrasal idioms have something in common: not all of their elements contribute to the argument structure of the predicate implicated by the expression. Radically lexicalized theories of grammar that avoid string-, term-, logical form-, and tree-writing, and categorial grammars that avoid wrap operation, make predictions about the categories involved in verb-particles and phrasal idioms. They may require singleton types, which can only substitute for one value, not just for one kind of value. These types are asymmetric: they can be arguments only. They also narrowly constrain the kind of semantic value that can correspond to such syntactic categories. Idiomatically combining phrases do not subcategorize for singleton types, and they exploit another locally computable and compositional property of a correspondence, that every syntactic expression can project its head word. Such MWEs can be seen as empirically realized categorial possibilities rather than lacuna in a theory of lexicalizable syntactic categories.
Lexical Inference in Turkish Emphatic Reduplication
by Özkan Kılıç (Cognitive Science, METU)
on 7th of December
Abstract Turkish Emphatic Reduplication (TER) occurs in adjectives and adverbs to accentuate their meanings (e.g., beyaz --> bembeyaz). TER is viewed as a purely phonological operation, and often used as an example in Optimality Theory and Morphological Doubling Theory. Despite the theory and the phonological rules for the selection of linker type in TER, variations do occur. For example, ci-r-il-ciplak, ci-s-ciplak, ci-r-ciplak, ci-p-ciplak and ci-m-ciplak will show up in web searches. In this study, 42 university students are asked to reduplicate 19 adjectives, 19 nouns, 19 verbs and 19 pseudowords of the from CVCCVC. Their answers, eye-tracking data and reaction times are analyzed. The results indicate that there is a lexical interference in TER.
Visual perception of actions: An interdisciplinary work between cognitive neuroscience and social robotics
by Burcu Ayşen Ürgen (Psychology, Bilkent University)
on 23rd of November
Abstract Successfully recognizing the actions of others is of utmost importance for the survival of many species. For humans, action perception is considered to support important higher order social skills, such as communication, intention understanding and empathy, some of which may be uniquely human. Over the last two decades, neurophysiological and neuroimaging studies in primates have identified a network of regions in occipito-temporal, parietal and premotor cortex that are associated with perception of actions, known as the Action Observation Network. Despite a growing body of literature, the functional properties of this network remain largely unknown. We take a multi-modal, interdisciplinary, and computational approach to characterize the functional properties of this network in humans. To this end, we 1) collaborated with a robotics lab to vary various aspects of actions including visual appearance and movement kinematics of the agents, 2) used a wide range of brain measurement modalities (fMRI and EEG) together with state-of-the-art analytical techniques including representational similarity analysis, computer vision, and clustering to investigate the neural processing while human subjects performed action perception tasks. While our findings improve our understanding of the Action Observation Network, the interdisciplinary work with robotics also allows us to address questions regarding human factors in artificial agent design in social robotics and human-robot interaction such as uncanny valley, which is concerned with what kind of agents we should design so that humans can easily accept them as social partners.
Introducing METU Language and Cognitive Development Lab
by Duygu Özge (Cognitive Science, METU)
on 16th of November
Abstract I will give an overview of some major research questions in the field of language/cognitive development and their significance for cognitive science, followed by a summary of research projects we run in our emerging METU Language and Cognitive Development Lab.
Object detection through search with a foveated visual system
by Emre Akbaş (Computer Engineering, METU)
on 2nd of November
Abstract In this talk, I will present a foveated object detector (FOD) as a biologically-inspired alternative to the sliding window (SW) approach which is the dominant method of search in computer vision object detection. Similar to the human visual system, the FOD has higher resolution at the fovea and lower resolution at the visual periphery. Consequently, more computational resources are allocated at the fovea and relatively fewer at the periphery. The FOD processes the entire scene, uses retino-specific object detection classifiers to guide eye movements, aligns its fovea with regions of interest in the input image and integrates observations across multiple fixations. Our approach combines object detectors from computer vision with a recent model of peripheral pooling regions found at the V1 layer of the human visual system. We assessed various eye movement strategies on the PASCAL VOC 2007 dataset and show that the FOD performs on par with the SW detector while bringing significant computational cost savings.
Perspectives on the processing debate in reading
by Cengiz Acartürk (Cognitive Science, METU)
on 19th of October
Abstract Reading has been subject to intermittent research periods since the 1920s. Several computations models have been proposed since past decade, which have resulted in an intense debate on the interaction between oculomotor processes, lexical access and visual attention. From the perspective of general visual cognition, reading provides a prolific test bed -compared to object perception- due to its relatively systematic structure on the stimuli side. On the other hand, there is no consensus on the processes that guide reading recently. This talk will present the experience of the Reading Research Group in the Cognitive Science Program on reading in Turkish, since the past four years. I will present an instance of how theoretical frameworks drive data collection and how they lead to novel experimental paradigms through a set of examples in the reading debate.
Discourse annotation: A multi-lingual approach
by Deniz Zeyrek (Cognitive Science, METU)
on 12th of October
Abstract Linguistic annotation means adding informative information to texts and annotated texts are ultimately inputs to language technology applications. Linguistic annotation of language resources has become a science, encompassing methods of annotation for the design of the corpus, annotation creation, physical format considerations, evaluation, etc. Discourse is a unit above the sentence level and can be analyzed in terms of several kinds of patterning including but not limited to discourse relations. Discourse relations are a level in discourse associated with the semantic relations (contrast, condition, expansion, etc.) that hold among text segments (clauses or groups of clauses). After introducing the basic concepts of linguistic annotation, I will talk about a recent initiative on annotating the transcripts of TED talks that involve several languages (Turkish, English, Portuguese, German and Russian). Our initiative involves annotating discourse relations across texts. I will explain the annotation procedure and describe the corpus along with implications on our understanding of discourse.