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ACL
2015
4 years 7 months ago
MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity
We present MultiGranCNN, a general deep learning architecture for matching text chunks. MultiGranCNN supports multigranular comparability of representations: shorter sequences in ...
Wenpeng Yin, Hinrich Schütze
ACL
2015
4 years 7 months ago
Early and Late Combinations of Criteria for Reranking Distributional Thesauri
In this article, we first propose to exploit a new criterion for improving distributional thesauri. Following a bootstrapping perspective, we select relations between the terms o...
Olivier Ferret
ACL
2015
4 years 7 months ago
The Discovery of Natural Typing Annotations: User-produced Potential Chinese Word Delimiters
Human labeled corpus is indispensable for the training of supervised word segmenters. However, it is time-consuming and laborintensive to label corpus manually. During the process...
Dakui Zhang, Yu Mao, Yang Liu, Hanshi Wang, Chuyua...
ACL
2015
4 years 7 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
4 years 7 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
4 years 7 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
4 years 7 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...
ACL
2015
4 years 7 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
4 years 7 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
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