895 citations · 2.1k across the 169 of their papers we have counts for
16 papers · 1 filter
Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time
Pankaj Gupta, Subburam Rajaram, Hinrich Schütze +1
Dynamic topic modeling facilitates the identification of topical trends over time in temporal collections of unstructured documents. We introduce a novel unsupervised neural dynami…
Impact of Coreference Resolution on Slot Filling
Heike Adel, Hinrich Schütze
In this paper, we demonstrate the importance of coreference resolution for natural language processing on the example of the TAC Slot Filling shared task. We illustrate the strengt…
Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms
Wenpeng Yin, Hinrich Schütze
In NLP, convolutional neural networks (CNNs) have benefited less than recurrent neural networks (RNNs) from attention mechanisms. We hypothesize that this is because the attention…
Corpus-level Fine-grained Entity Typing
Yadollah Yaghoobzadeh, Heike Adel, Hinrich Schütze
This paper addresses the problem of corpus-level entity typing, i.e., inferring from a large corpus that an entity is a member of a class such as "food" or "artist". The applicatio…
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification
Heike Adel, Hinrich Schütze
We introduce globally normalized convolutional neural networks for joint entity classification and relation extraction. In particular, we propose a way to utilize a linear-chain co…
Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models
Katharina Kann, Hinrich Schütze
We present a semi-supervised way of training a character-based encoder-decoder recurrent neural network for morphological reinflection, the task of generating one inflected word fo…
A Subjective Logic Formalisation of the Principle of Polyrepresentation for Information Needs
Christina Lioma, Birger Larsen, Hinrich Schütze +1
Interactive Information Retrieval refers to the branch of Information Retrieval that considers the retrieval process with respect to a wide range of contexts, which may affect the…
Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 Languages
Ehsaneddin Asgari, Hinrich Schütze
We present SuperPivot, an analysis method for low-resource languages that occur in a superparallel corpus, i.e., in a corpus that contains an order of magnitude more languages than…
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion
Katharina Kann, Ryan Cotterell, Hinrich Schütze
We present a novel cross-lingual transfer method for paradigm completion, the task of mapping a lemma to its inflected forms, using a neural encoder-decoder model, the state of the…
Comparative Study of CNN and RNN for Natural Language Processing
Wenpeng Yin, Katharina Kann, Mo Yu +1
Deep neural networks (DNN) have revolutionized the field of natural language processing (NLP). Convolutional neural network (CNN) and recurrent neural network (RNN), the two main t…
Neural Multi-Source Morphological Reinflection
Katharina Kann, Ryan Cotterell, Hinrich Schütze
We explore the task of multi-source morphological reinflection, which generalizes the standard, single-source version. The input consists of (i) a target tag and (ii) multiple pair…
Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities
Yadollah Yaghoobzadeh, Hinrich Schütze
Entities are essential elements of natural language. In this paper, we present methods for learning multi-level representations of entities on three complementary levels: character…
Noise Mitigation for Neural Entity Typing and Relation Extraction
Yadollah Yaghoobzadeh, Heike Adel, Hinrich Schütze
In this paper, we address two different types of noise in information extraction models: noise from distant supervision and noise from pipeline input features. Our target tasks are…
Exploring Different Dimensions of Attention for Uncertainty Detection
Heike Adel, Hinrich Schütze
Neural networks with attention have proven effective for many natural language processing tasks. In this paper, we develop attention mechanisms for uncertainty detection. In partic…
Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching
Wenpeng Yin, Hinrich Schütze
This work studies comparatively two typical sentence matching tasks: textual entailment (TE) and answer selection (AS), observing that weaker phrase alignments are more critical in…
Joint Semantic Synthesis and Morphological Analysis of the Derived Word
Ryan Cotterell, Hinrich Schütze
Much like sentences are composed of words, words themselves are composed of smaller units. For example, the English word questionably can be analyzed as question+able+ly. However,…