Sciweavers

ACL
2015
9 years 11 months ago
Neural Responding Machine for Short-Text Conversation
We propose Neural Responding Machine (NRM), a neural network-based response generator for Short-Text Conversation. NRM takes the general encoderdecoder framework: it formalizes th...
Lifeng Shang, Zhengdong Lu, Hang Li
ACL
2015
9 years 11 months ago
Learning to Explain Entity Relationships in Knowledge Graphs
We study the problem of explaining relationships between pairs of knowledge graph entities with human-readable descriptions. Our method extracts and enriches sentences that refer ...
Nikos Voskarides, Edgar Meij, Manos Tsagkias, Maar...
ACL
2015
9 years 11 months ago
Sparse Overcomplete Word Vector Representations
Current distributed representations of words show little resemblance to theories of lexical semantics. The former are dense and uninterpretable, the latter largely based on famili...
Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chr...
ACL
2015
9 years 11 months ago
Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints
In this paper, we propose a general framework to incorporate semantic knowledge into the popular data-driven learning process of word embeddings to improve the quality of them. Un...
Quan Liu, Hui Jiang 0001, Si Wei, Zhen-Hua Ling, Y...
116
Voted
ACL
2015
9 years 11 months ago
Recurrent Neural Network based Rule Sequence Model for Statistical Machine Translation
The inability to model long-distance dependency has been handicapping SMT for years. Specifically, the context independence assumption makes it hard to capture the dependency bet...
Heng Yu, Xuan Zhu
ACL
2015
9 years 11 months ago
Vector-space calculation of semantic surprisal for predicting word pronunciation duration
In order to build psycholinguistic models of processing difficulty and evaluate these models against human data, we need highly accurate language models. Here we specifically co...
Asad B. Sayeed, Stefan Fischer, Vera Demberg
ACL
2015
9 years 11 months ago
Improving Pivot Translation by Remembering the Pivot
Pivot translation allows for translation of language pairs with little or no parallel data by introducing a third language for which data exists. In particular, the triangulation ...
Akiva Miura, Graham Neubig, Sakriani Sakti, Tomoki...
ACL
2015
9 years 11 months ago
Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction
We study the application of word embeddings to generate semantic representations for the domain adaptation problem of relation extraction (RE) in the tree kernelbased method. We s...
Thien Huu Nguyen, Barbara Plank, Ralph Grishman
109
Voted
ACL
2015
9 years 11 months ago
Non-linear Learning for Statistical Machine Translation
Modern statistical machine translation (SMT) systems usually use a linear combination of features to model the quality of each translation hypothesis. The linear combination assum...
Shujian Huang, Huadong Chen, Xinyu Dai, Jiajun Che...