In the last two years, we continued to meet around a series of tutorials on Bayesian methods for data analysis and cognitive modeling, with a focus on Signal Detection Theory (2018-19), and around a series of tutorials on deep learning (2019-20).
We might not meet regularly in 2020-21 given Covid-19 and the CZU Lightning Complex fires. If we end up meeting, possible topics might include tutorials on reinforcement learning and its connections to production-based computational cognitive models for linguistic phenomena.
Feel free to email (abrsvn at [gmail.com,ucsc.edu]) if you need more information and/or access to the materials.
LaLoCo lab in the cloud (Fall 2018 update)
Since the summer of 2015, the LaLoCo lab online presence has moved to a UCSC google group, with associated resources (meeting reports, literature, code, corpora etc.) stored and updated in the cloud (the UCSC google drive).
We continued to meet on average about 7-9 times per quarter, with a good …read more
Computing Dynamic Meanings: Building Integrated Competence-Performance Theories for Semantics [ESSLLI 2018 Course]
This course introduces a new framework that integrates (i) formal syntactic and semantic theories, (ii) mechanistic processing models, and (iii) Bayesian methods of data analysis and parameter estimation. The main …read more
Computing Dynamic Meanings: Day 1 [ESSLLI 2018 Course]
types of knowledge, modules, buffers, chunks, basic subsymbolic components
Computing Dynamic Meanings: Day 2 [ESSLLI 2018 Course]
syntactic and semantic aspects of incremental interpretation
Computing Dynamic Meanings: Day 3 [ESSLLI 2018 Course]
introduction to Bayesian methods for data analysis / cognitive modeling
we introduce subsymbolic declarative memory components of ACT-R that are essential for modeling linguistic performance — i.e., actual human behavior in experimental …
Computing Dynamic Meanings: Days 4-5 [ESSLLI 2018 Course]
we introduce mechanistic processing models for formal semantics that integrate dynamic semantics, specifically, Discourse Representation Theory (DRT, Kamp 1981, Kamp & Reyle 1993), and the ACT-R cognitive architecture
we show how to embed these mechanistic processing models into Bayesian models …
Spring-Summer 2015 Meetings
We met regularly throughout the months of June, July, and August working on a joint project investigating the formal semantics of disfluency and its interaction with other semantic phenomena, quantification and anaphora in particular.read more
Spring 2015: Meeting 2
Hitomi Hirayama presented her work on May 26, 12-1:30 pm, the Cave.
Title: Japanese modified numerals and ignorance inferences
Abstract: This study investigates how (modified) numerals in Japanese interact with the particles wa and ga. First, I will point out some differences between English modified numerals and Japanese ones …read more