no code implementations • WS 2018 • Dieu Thu Le, Cam-Tu Nguyen, Kim Anh Nguyen
In this paper, we explore the problem of developing an argumentative dialogue agent that can be able to discuss with human users on controversial topics.
1 code implementation • 31 Oct 2018 • Kim Anh Nguyen, Ngan Dong, Cam-Tu Nguyen
We propose an attentive neural network for the task of named entity recognition in Vietnamese.
no code implementations • WS 2018 • Ina Roesiger, Maximilian K{\"o}per, Kim Anh Nguyen, Sabine Schulte im Walde
Cases of coreference and bridging resolution often require knowledge about semantic relations between anaphors and antecedents.
no code implementations • NAACL 2018 • 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, thus offering data to distinguish between similarity and dissimilarity.
no code implementations • EMNLP 2017 • Kim Anh Nguyen, Maximilian Köper, Sabine Schulte im Walde, Ngoc Thang Vu
We present a novel neural model HyperVec to learn hierarchical embeddings for hypernymy detection and directionality.
1 code implementation • EACL 2017 • 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.
1 code implementation • COLING 2016 • Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu
Word embeddings have been demonstrated to benefit NLP tasks impressively.
no code implementations • ACL 2016 • 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 similarity.