3 citations · 4 across the 3 of their papers we have counts for
5 papers
Introducing two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness
Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu
We present two novel datasets for the low-resource language Vietnamese to assess models of semantic similarity: ViCon comprises pairs of synonyms and antonyms across word classes,…
Hierarchical Embeddings for Hypernymy Detection and Directionality
Kim Anh Nguyen, Maximilian Köper, Sabine Schulte im Walde +1
We present a novel neural model HyperVec to learn hierarchical embeddings for hypernymy detection and directionality. While previous embeddings have shown limitations on prototypic…
Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network
Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu
Distinguishing between antonyms and synonyms is a key task to achieve high performance in NLP systems. While they are notoriously difficult to distinguish by distributional co-occu…
Neural-based Noise Filtering from Word Embeddings
Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu
Word embeddings have been demonstrated to benefit NLP tasks impressively. Yet, there is room for improvement in the vector representations, because current word embeddings typicall…
Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction
Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu
We propose a novel vector representation that integrates lexical contrast into distributional vectors and strengthens the most salient features for determining degrees of word simi…