Bofang Li

Subword-level Composition Functions for Learning Word Embeddings

2018

Subword-level information is crucial for capturing the meaning and morphology of words, especially for out-of-vocabulary entries. We propose CNN-and RNN-based subword-level composition functions for learning word embeddings, and systematically compare them with popular word-level and …

The (too Many) Problems of Analogical Reasoning with Word Vectors

2017

This paper explores the possibilities of analogical reasoning with vector space models. Given two pairs of words with the same relation (e.g. man:woman :: king:queen), it was proposed that the offset between one pair of …