TY - GEN
T1 - A New Distance Geometry Method for Constructing Word and Sentence Vectors
AU - Liberti, Leo
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/4/20
Y1 - 2020/4/20
N2 - We present a new methodology for producing low-dimensional word vectors based on distance geometry and dimensional reduction techniques. We use these word vectors in order to construct sentence vectors. We evaluate their usefulness in a sentence classification task performed by a simple artificial neural network. Compared to n-gram incidence vectors, the new methodology is shown to yield lower loss values.
AB - We present a new methodology for producing low-dimensional word vectors based on distance geometry and dimensional reduction techniques. We use these word vectors in order to construct sentence vectors. We evaluate their usefulness in a sentence classification task performed by a simple artificial neural network. Compared to n-gram incidence vectors, the new methodology is shown to yield lower loss values.
KW - clustering
KW - graph embeddings
KW - natural language processing
KW - neural networks
KW - word vectors
UR - https://www.scopus.com/pages/publications/85091699739
U2 - 10.1145/3366424.3391267
DO - 10.1145/3366424.3391267
M3 - Conference contribution
AN - SCOPUS:85091699739
T3 - The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
SP - 679
EP - 685
BT - The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
PB - Association for Computing Machinery
T2 - 29th International World Wide Web Conference, WWW 2020
Y2 - 20 April 2020 through 24 April 2020
ER -