Detecting Location-Indicating Phrases in User Utterances for Chat-Oriented Dialogue Systems

Surface runoff frequency at observation sites with the following characteristics are reported on the same graph: high initial water content, low soil permeability, low soil

In an evaluation experiment, we had users experience chat examples with Lifestyle Agent and gained knowledge on dialogue planning to promote improvement of lifestyle

While it is natural for us to talk about cumulated gain over time, the traditional cumulated gain measures have substi- tuted document rank for time and implicitly model a user

To refine our utterance database and generate non- monotonous utterances, we proposed methods of filtering non-sentences and utterances inappropriate for their asso- ciated foci

With the focus on high-level design and architectural concepts from source code, we take software reverse engineering (RE) and natural language processing (NLP) as the main drivers

In this paper, we present an approach to feature-level sentiment detection that integrates natural language processing with statistical techniques, in order to extract users’

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

Another interesting fact to be observed, is that, given a fixed sequence length, as the frequency rises, so does the average score, contradicting the weakness mentioned earlier,