DCU at the NTCIR-9 SpokenDoc Passage Retrieval Task

DCU at the NTCIR-11 SpokenQuery&Doc Task

We describe DCU’s participation in the NTCIR-11 SpokenQuery&Document task. We participated in the spokenquery spoken content retrieval (SQ-SCR) subtask by using the slide group segments as basic indexing and retrieval units. Our approach integrates normalised prosodic features into a standard BM25 weighting function to increase weights for terms that are prominent in speech. Text queries and re...

Spoken Document Retrieval by Contents Complement and Keyword Expansion Using Subordinate Concept for NTCIR-SpokenDoc

We report on the result of investigating which relationship is important among hypernym and hyponym relationships in retrieval keyword expansion. Moreover, we report the effect of the keyword expansion and the contents complement for spoken document retrieval for SCR lecture retrieval task and SCR passage retrieval task. Spoken Document Retrieval by contents complement and keyword expansion usi...

Spoken Document Retrieval Experiments for SpokenDoc at Ryukoku University (RYSDT)

In this paper, we describe spoken document retrieval systems in Ryukoku University, which were participated in NTCIR-9 IR for Spoken Documents (“SpokenDoc”) task. In NTCIR-9 “SpokenDoc” task, there are two subtasks: “Spoken term detection (STD) subtask” and “Spoken document retrieval (SDR) subtask”. We participated in the both subtasks as team RYSDT. In this paper, first, our STD systems are de...

DCU at NTCIR-10 SpokenDoc2 Passage Retrieval Task

DTW-Distance-Ordered Spoken Term Detection and STD-based Spoken Content Retrieval: Experiments at NTCIR-10 SpokenDoc-2

In this paper, we report our experiments at NTCIR-10 SpokenDoc-2 task. We participated both the STD and SCR subtasks of SpokenDoc. For STD subtask, we applied novel indexing method, called metric subspace indexing, previously proposed by us. One of the distinctive advantages of the method was that it could output the detection results in increasing order of distance without using any predefined...