tailieunhanh - Báo cáo khoa học: "Towards Tracking Semantic Change by Visual Analyti cs"

This paper presents a new approach to detecting and tracking changes in word meaning by visually modeling and representing diachronic development in word contexts. Previous studies have shown that computational models are capable of clustering and disambiguating senses, a more recent trend investigates whether changes in word meaning can be tracked by automatic methods. The aim of our study is to offer a new instrument for investigating the diachronic development of word senses in a way that allows for a better understanding of the nature of semantic change in general. . | Towards Tracking Semantic Change by Visual Analytics Christian Rohrdantz1 Annette Hautli2 Thomas Mayer2 Miriam Butt2 Daniel A. Keim1 Frans Plank2 Department of Computer Science1 Department of Linguistics2 University of Konstanz Abstract This paper presents a new approach to detecting and tracking changes in word meaning by visually modeling and representing diachronic development in word contexts. Previous studies have shown that computational models are capable of clustering and disambiguating senses a more recent trend investigates whether changes in word meaning can be tracked by automatic methods. The aim of our study is to offer a new instrument for investigating the diachronic development of word senses in a way that allows for a better understanding of the nature of semantic change in general. For this purpose we combine techniques from the field of Visual Analytics with unsupervised methods from Natural Language Processing allowing for an interactive visual exploration of semantic change. 1 Introduction The problem of determining and inferring the sense of a word on the basis of its context has been the subject of quite a bit of research. Earlier investigations have mainly focused on the disambiguation of word senses from information contained in the context . Schiitze 1998 or on the induction of word senses Yarowsky 1995 . Only recently the field has added a diachronic dimension to its investigations and has moved towards the computational detection of sense development over time Sagi et al. 2009 Cook and Stevenson 2010 thereby complementing theoretical investigations in historical linguistics with information gained from large corpora. These approaches have concentrated on measuring 305 general changes in the meaning of a word . narrowing or pejoration whereas in this paper we deal with cases where words acquire a new sense by extending their contexts to other domains. For the scope of this investigation we restrict ourselves to cases of semantic .