70 citations · 180 across the 53 of their papers we have counts for
10 papers · 1 filter
Syntactic and Semantic Features For Code-Switching Factored Language Models
Heike Adel, Ngoc Thang Vu, Katrin Kirchhoff +2
This paper presents our latest investigations on different features for factored language models for Code-Switching speech and their effect on automatic speech recognition (ASR) pe…
Encoding Word Confusion Networks with Recurrent Neural Networks for Dialog State Tracking
Glorianna Jagfeld, Ngoc Thang Vu
This paper presents our novel method to encode word confusion networks, which can represent a rich hypothesis space of automatic speech recognition systems, via recurrent neural ne…
Neural-based Context Representation Learning for Dialog Act Classification
Daniel Ortega, Ngoc Thang Vu
We explore context representation learning methods in neural-based models for dialog act classification. We propose and compare extensively different methods which combine recurren…
Improving coreference resolution with automatically predicted prosodic information
Ina Rösiger, Sabrina Stehwien, Arndt Riester +1
Adding manually annotated prosodic information, specifically pitch accents and phrasing, to the typical text-based feature set for coreference resolution has previously been shown…
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…
A General-Purpose Tagger with Convolutional Neural Networks
Xiang Yu, Agnieszka Faleńska, Ngoc Thang Vu
We present a general-purpose tagger based on convolutional neural networks (CNN), used for both composing word vectors and encoding context information. The CNN tagger is robust ac…
Prosodic Event Recognition using Convolutional Neural Networks with Context Information
Sabrina Stehwien, Ngoc Thang Vu
This paper demonstrates the potential of convolutional neural networks (CNN) for detecting and classifying prosodic events on words, specifically pitch accents and phrase boundary…
Attentive Convolutional Neural Network based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech
Michael Neumann, Ngoc Thang Vu
Speech emotion recognition is an important and challenging task in the realm of human-computer interaction. Prior work proposed a variety of models and feature sets for training a…
Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages
Xiang Yu, Ngoc Thang Vu
We present a transition-based dependency parser that uses a convolutional neural network to compose word representations from characters. The character composition model shows grea…
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…