Eugene Charniak
Biographic Data
| ID | 5891783 |
|---|---|
| NAME | Eugene Charniak |
| GIVEN NAMES | Eugene |
| FAMILY NAME | Charniak |
| SIGNATURE | CHARNIAK E |
| AFFILIATIONS | Brown Laboratory for Linguistic Information Processing (BLLIP) |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1978 |
| LATEST PUBLICATION YEAR | 2011 |
| H-INDEX | 0 |
The Brain as a Statistical Inference Engine—and You Can Too
There are several possible templates for award talks. 1 The most common is an intellectual history-how I came to make all these wonderful discoveries. However, I am never completely happy with my work, as it seems a pale shadow of what I think it should have been. Thus I am picking a different model-things we all know but do not say out loud because we have no evidence to support them; and besides, making such bold claims sounds pretentious
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…
Statistical Language Learning
Computational Semantics
No prominent works on this page.
Computational Semantics
Statistical Language Learning
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…
The Brain as a Statistical Inference Engine—and You Can Too
There are several possible templates for award talks. 1 The most common is an intellectual history-how I came to make all these wonderful discoveries. However, I am never completely happy with my work, as it seems a pale shadow of what I think it should have been. Thus I am picking a different model-things we all know but do not say out loud because we have no evidence to support them; and besides, making such bold claims sounds pretentious
Artificial Intelligence (4 works) · Computer Science (4 works) · Natural language processing (4 works) · Linguistics (3 works) · Natural Language Processing Techniques (3 works) · Artificial Intelligence (2 works) · Philosophy (2 works) · Psychology (2 works) · Child and Animal Learning Development (1 work) · Cluster analysis (1 work)