Paper Info
Title
Overview of the NLPCC 2018 Shared Task: Spoken Language Understanding in Task-Oriented Dialog Systems.
Abstract
This paper presents the overview for the shared task at the 7th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC 2018): Spoken Language Understanding (SLU) in Task-oriented Dialog Systems. SLU usually consists of two parts, namely intent identification and slot filling. The shared task made publicly available a Chinese dataset of over 5.8 K sessions, which is a sample of the real query log from a commercial task-oriented dialog system and includes 26 K utterances. The contexts within a session are taken into consideration when a query within the session was annotated. To help participating systems correct ASR errors of slot values, this task also provides a dictionary of values for each enumerable type of slot. 16 teams entered the task and submitted a total of 40 SLU results. In this paper, we will review the task, the corpus, and the evaluation results.
Year
DOI
Venue
2018
10.1007/978-3-319-99501-4_46
Lecture Notes in Artificial Intelligence
Keywords
Field
DocType
SLU,Intent identification,Slot filling
Dialog box,Computer science,Natural language processing,Dialog system,Artificial intelligence,Spoken language,Task oriented
Conference
Volume
ISSN
Citations 
11109
0302-9743
0
PageRank 
References 
Authors
0.34
4
2
Name
Order
Citations
PageRank
Xuemin Zhao1225.28
Yunbo Cao2108263.12