Demo Data from SIGIR 2026 / reviewers in the wild / expert
Carole T. Boster
dblp:02/6673
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Language models and text generation · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational social science and digital humanities › psycholinguistics
language acquisition |
0.0 | 1 | 1994 | Simulating Children's Null Subjects: An Early Language Generation Model · ACL 1994 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | Simulating Children's Null Subjects: An Early Language Generation ModelabstractThis paper reports work in progress on a sentence generation model which attempts to emulate certain language output patterns of children between the ages of one and one-half and three years. In particular, the model addresses the issue of why missing or phonetically "null" subjects appear as often as they do in the speech of young English-speaking children. It will also be used to examine why other patterns of output appear in the speech of children learning languages such as Italian and Chinese. Initial findings are that an output generator successfully approximates the null-subject output patterns found in English-speaking children by using a 'processing overload' metric alone; however, reference to several parameters related to discourse orientation and agreement morphology is necessary in order to account for the differing patterns of null arguments appearing cross-linguistically. Based on these findings, it is argued that the 'null-subject phenomenon' is due to the combined effects of limited processing capacity and early, accurate parameter setting. Carole T. Boster |
ACL | 1 |