Demo Data from EDBT 2026 / reviewers in the wild / expert
Suzanne Flynn
dblp:13/9279
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0002-0610-6725ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 1
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 |
Information extraction and text analysis · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Wearable and physiological sensing · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis › text mining › authorship analysis
native language identification |
0.3 | 1 | 2017 | Predicting Native Language from Gaze · ACL (1) 2017 |
Wearable and physiological sensing
eye tracking |
0.1 | 1 | 2017 | Predicting Native Language from Gaze · ACL (1) 2017 |
Methods — techniques the papers use, named apart from their topics
gaze fixation analysis · 0.6classifier analysis · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Predicting Native Language from GazeabstractA fundamental question in language learning concerns the role of a speaker's first language in second language acquisition.We present a novel methodology for studying this question: analysis of eye-movement patterns in second language reading of free-form text.Using this methodology, we demonstrate for the first time that the native language of English learners can be predicted from their gaze fixations when reading English.We provide analysis of classifier uncertainty and learned features, which indicates that differences in English reading are likely to be rooted in linguistic divergences across native languages.The presented framework complements production studies and offers new ground for advancing research on multilingualism. 1 Yevgeni Berzak, Chie Nakamura, Suzanne Flynn, Boris Katz |
ACL (1) | 3 |
| 2004 | What makes a non-native accent?: a study of Korean EnglishabstractWe report a set of results in the second language (L2) acquisition of English phonology by first language (L1) speakers of Korean. Specifically, we focus on significant differences isolated between L2 speakers‟ production of isolated words in English and their production of the same words in sentence and phrasal contexts. Results indicate significantly more accurate production of words in isolation than in the production of the same words in phrasal contexts. The particular phonological phenomena focused on concern both stress reduction and placement. We also consider several other aspects of segmental phonology. We argue that the discrepancy in results observed between tasks may account for many of the seemingly disparate results indicated in other studies of L2 phonology. We discuss several possible explanations for these data in terms of which production task most closely provides a measurement of developing linguistic competence and which might reflect the role of either general learning strategies (overgeneralization) or reversion back to the L1 grammar under conditions of stress or when the L2 grammar is not fully developed. Jong-mi Kim, Suzanne Flynn |
INTERSPEECH | 2 |