2000 Communicator Dialogue Act Tagged
|Item Name:||2000 Communicator Dialogue Act Tagged|
|Author(s):||Rashmi Prasad, Marilyn Walker|
|LDC Catalog No.:||LDC2004T15|
|Release Date:||June 15, 2004|
|Data Source(s):||telephone conversations|
|Application(s):||topic detection and tracking, tagging, summarization, spoken dialogue systems, spoken dialogue modeling, speech recognition, nominal expression generation|
LDC User Agreement for Non-Members
|Online Documentation:||LDC2004T15 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Prasad, Rashmi, and Marilyn Walker. 2000 Communicator Dialogue Act Tagged LDC2004T15. Web Download. Philadelphia: Linguistic Data Consortium, 2004.|
2000 Communicator Dialogue Act Tagged is an addendum to 2000 Communicator Evaluation LDC2002S56 developed by the Linguistic Data Consortium in 2002. This addendum contains annotations on the transcriptions of the system and user utterances as taken from the logfiles of LDC2002S56.
Dialogue Act annotations are provided for system utterances in the dialogues. The dialogue act tags follow the DATE (Dialogue Act Tagging for Evaluation) scheme. In addition, both system and user utterances are tagged for named entities.
The complete Dialogue Act annotated corpus is available as a single XML text file totalling approximately 16 MB.
The total number of dialogues is 648. There are 314,223 words (tokens) and 1,403,985 unique words.
Each dialogue is segmented into system and user turns. The total number of turns for the entire corpus is 24,728 (13,013 system turns and 11,715 user turns).
Except for one system, no utterance segmentation was done within the turns in the logfiles. The number of utterances is therefore the same as the number of turns. Utterance segmentation is carried out and reflected as the dialogue act segmentation. The total number of tagged dialogue acts is 22,701 with 61 unique tags. There are a total of 275,938 words in the system utterances and a total of 38,285 words in the user utterances.
Dialogue Act tagging was done automatically via pattern matching with human-labeled dialogue utterances used by the nine different participating Communicator Systems. Named entity tagging also followed the same methodology.
This research was conducted using funding from the following grant number and funding agency: DARPA - contract MDA972-99-3-0003.
There are no updates available at this time.