Demo Data from VLDB 2026 / reviewers in the wild / expert
Junji Nagata
dblp:65/6745
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2
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% | |
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis › phrase extraction
collocation extraction |
0.0 | 1 | 1997 | Retrieving Collocations by Co-occurrences and Word Order Constraints · ACL 1997 |
Methods — techniques the papers use, named apart from their topics
word order constraints · 0.0co-occurrence analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Retrieving Domain-Specific Collocations by Co-occurrences and Word Order ConstraintsabstractIn this paper, we describe a method for automatically retrieving collocations from large text corpora. This method comprises the following stages: (1) extracting strings of characters as units of collocations, and (2) extracting recurrent combinations of strings as collocations. Through this method, various types of domain‐specific collocations can be retrieved simultaneously. This method is practical because it uses plain text with no specific‐language‐dependent information, such as lexical knowledge and parts of speech. Experimental results using English and Japanese text corpora show that the method is equally applicable to both languages. Sayori Shimohata, Toshiyuki Sugio, Junji Nagata |
Comput. Intell. | 3 |
| 1997 | Retrieving Collocations by Co-occurrences and Word Order ConstraintsabstractIn this paper, we describe a method for automatically retrieving collocations from large text corpora. This method retrieve collocations in the following stages: 1) extracting strings of characters as units of collocations 2) extracting recurrent combinations of strings in accordance with their word order in a corpus as collocations. Through the method, various range of collocations, especially domain specific collocations, are retrieved. The method is practical because it uses plain texts without any information dependent on a language such as lexical knowledge and parts of speech. Sayori Shimohata, Toshiyuki Sugio, Junji Nagata |
ACL | 3 |