The HandySinger system is a personified tool developed to naturally express a singing voice controlled by the gestures of a hand puppet. Assuming that a singing voice is a kind of musical expression, natural expressions of the singing voice are important for personification. We adopt a singing voice morphing algorithm that effectively smoothes out the strength of expressions delivered with a si...

The study of bowing is critically important for string players. Traditional bowing annotations are a valuable part of orchestral and individual documentation, but they do not help the performer to search a piece for other passages that should be bowed the same way, or to identify alternative bowing styles. We introduce a notation based on regular expressions that describes patterns of notes in ...

To many, music and language are hallmarks of humanity. Moreover, they seem to share formal properties: musical and linguistic expressions appear to be complex and rule governed, and their meaning seems compositionally determined. These apparent commonalities are among the reasons that have led some to wonder whether the abilities to produce and perceptually analyze linguistic and musical expres...

This paper introduces a new class of temporal expression – named temporal expressions – and methods for recognising and interpreting its members. The commonest temporal expressions typically contain date and time words, like April or hours. Research into recognising and interpreting these typical expressions is mature in many languages. However, there is a class of expressions that are less typ...

We describe SUTIME, a temporal tagger for recognizing and normalizing temporal expressions in English text. SUTIME is available as part of the Stanford CoreNLP pipeline and can be used to annotate documents with temporal information. It is a deterministic rule-based system designed for extensibility. Testing on the TempEval-2 evaluation corpus shows that this system outperforms state-of-the-art...

This paper describes the system implemented by the NLP GROUP AT UNED for the Knowledge Base Population 2013 English Slot Filling (SF) and Temporal Slot Filling (TSF) tasks. For the Slot Filling task, we implemented a distant supervision approach, using Freebase as a source of training relations and news sources to retrieve training examples. For the Temporal Slot Filling task, our approach is b...

The temporal expressions recognition and normalization system for Spanish language described in this paper was presented by the University Carlos III de Madrid to the NIST ACE07 evaluation. The system focuses on the primary TERN task in Spanish, a pilot experience this year. The description of its architecture and modules is detailed, as well as the rule-based approach implemented by a finite s...

Temporal expressions are words or phrases that describe a point, duration or recurrence in time. Automatically annotating these expressions is a research goal of increasing interest. Recognising them can be achieved with supervised machine learning, but interpreting them accurately (normalisation) is a complex task requiring human knowledge. In this paper, we present TIMEN, a community-driven t...

We see a temporal data warehouse as a set of temporal views defined in the past fragment of the temporal relational algebra extended with set-valued attributes and aggregation. This paper proposes an incremental maintenance method for temporal views that allows improvements over the re-computation from scratch. We introduce a formalism for temporal data warehouse specification that summarizes i...

Lois Childs discussed GE's efforts to extract temporal expressions from text through the identification of relevant patterns . The Shogun system used 37 patterns in English, and 7 for Japanese . Patterns wer e context dependent, and referenced a dateline in order to handle relative time . The patterns were able to perform temporal calculations, and the system computed a temporal structure from ...