Micha Elsner
Biographic Data
| ID | 6536234 |
|---|---|
| NAME | Micha Elsner |
| GIVEN NAMES | Micha |
| FAMILY NAME | Elsner |
| SIGNATURE | ELSNER M |
| AFFILIATIONS | The Ohio State University |
| ORCID | 0000-0002-1432-2129 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Memory retrieval as a pressure towards chunking in morphological inflection
When producing morphologically complex words, speakers can draw on memorized examples of morphological structure that differ in specificity, ranging from word-specific information to broad generalizations. However, there is much that is not known about how memory retrieval operates in morphological production, particularly for languages with agglutinative structure, like Turkish. While it has long been suggested that item-specific memory does not…
The state as a model for AI control and alignment
Debates about the development of artificial superintelligence and its potential threats to humanity tend to assume that such a system would be historically unprecedented, and that its behavior must be predicted from first principles. I argue that this is not true: we can analyze multiagent intelligent systems (the best candidates for practical superintelligence) by comparing them to states, which also unite heterogeneous intelligences to achieve …
Technoliberalism for the people
This article situates ongoing debates about the governance policies of Archive of Our Own (AO3) in the context of the ideological tradition of technoliberalism, which links internet technologies with liberal ideals such as freedom of speech and individual choice. While often seen as a movement of the mid-2000s which swiftly gave way to straightforward corporatism, technoliberalism survives as a popular discourse in the AO3 debates, where popular …
When context is and isn’t helpful
Disentangling Chat
When multiple conversations occur simultaneously, a listener must decide which conversation each utterance is part of in order to interpret and respond to it appropriately. We refer to this task as disentanglement. We present a corpus of Internet Relay Chat dialogue in which the various conversations have been manually disentangled, and evaluate annotator reliability. We propose a graph-based clustering model for disentanglement, using lexical, t…
No prominent works on this page.
Disentangling Chat
When multiple conversations occur simultaneously, a listener must decide which conversation each utterance is part of in order to interpret and respond to it appropriately. We refer to this task as disentanglement. We present a corpus of Internet Relay Chat dialogue in which the various conversations have been manually disentangled, and evaluate annotator reliability. We propose a graph-based clustering model for disentanglement, using lexical, t…
When context is and isn’t helpful
Technoliberalism for the people
This article situates ongoing debates about the governance policies of Archive of Our Own (AO3) in the context of the ideological tradition of technoliberalism, which links internet technologies with liberal ideals such as freedom of speech and individual choice. While often seen as a movement of the mid-2000s which swiftly gave way to straightforward corporatism, technoliberalism survives as a popular discourse in the AO3 debates, where popular …
The state as a model for AI control and alignment
Debates about the development of artificial superintelligence and its potential threats to humanity tend to assume that such a system would be historically unprecedented, and that its behavior must be predicted from first principles. I argue that this is not true: we can analyze multiagent intelligent systems (the best candidates for practical superintelligence) by comparing them to states, which also unite heterogeneous intelligences to achieve …
Memory retrieval as a pressure towards chunking in morphological inflection
When producing morphologically complex words, speakers can draw on memorized examples of morphological structure that differ in specificity, ranging from word-specific information to broad generalizations. However, there is much that is not known about how memory retrieval operates in morphological production, particularly for languages with agglutinative structure, like Turkish. While it has long been suggested that item-specific memory does not…
Artificial Intelligence (2 works) · Computer Science (2 works) · Language Development and Disorders (2 works) · Linguistics (2 works) · Active listening (1 work) · Agglutinative language (1 work) · Art (1 work) · Business (1 work) · Chunking (psychology) (1 work) · Cluster analysis (1 work)