NLPExplorer

Hinrich Schutze

Number of Papers:- 212

Number of Citations:- 987

First ACL Paper:- 1993

Latest ACL Paper:- 2022

Venues:-

insights

GeBNLP

BUCC

WASSA

SemEval

IJCNLP

MTSummit

ACL

SemDeep

Findings

*SEMEVAL

TextGraphs

COLING

RANLP

ALNLP

INLG

NAACL

TACL

LREC

AACL

AdaptNLP

CoNLL

SIGMORPHON

NLP4ConvAI

EMNLP

EACL

WOAH

NLP4IF

InterNLP

SCLeM

Co-Authors:-

Abhilasha Ravichander

Similar Authors:-

Modular and Parameter-Efficient Multimodal Fusion with Prompting ACL Findings

Sheng Liang | Mengjie Zhao | Hinrich Schuetze |

Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments ACL Findings

CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment ACL

Lütfi Kerem Senel | Timo Schick | Hinrich Schuetze |

Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization ACL

Sanjeev Kumar Karn | Ning Liu | Hinrich Schuetze | Oladimeji Farri |

Flow-Adapter Architecture for Unsupervised Machine Translation ACL

Yihong Liu | Haris Jabbar | Hinrich Schuetze |

CaMEL: Case Marker Extraction without Labels ACL

Leonie Weissweiler | Valentin Hofmann | Masoud Jalili Sabet | Hinrich Schuetze |

Graph Neural Networks for Multiparallel Word Alignment ACL Findings

An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers ACL

Valentin Hofmann | Hinrich Schuetze | Janet Pierrehumbert |

Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity Findings NAACL

Valentin Hofmann | Xiaowen Dong | Janet Pierrehumbert | Hinrich Schuetze |

Separating Hate Speech and Offensive Language Classes via Adversarial Debiasing NAACL WOAH

Shuzhou Yuan | Antonis Maronikolakis | Hinrich Schütze |

Analyzing Hate Speech Data along Racial, Gender and Intersectional Axes GeBNLP NAACL

Antonis Maronikolakis | Philip Baader | Hinrich Schütze |

An Information-Theoretic Approach and Dataset for Probing Gender Stereotypes in Multilingual Masked Language Models Findings NAACL

Victor Steinborn | Philipp Dufter | Haris Jabbar | Hinrich Schuetze |

LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework Findings NAACL

True Few-Shot Learning with Prompts—A Real-World Perspective TACL

Timo Schick | Hinrich Schütze |

Position Information in Transformers: An Overview CL

Philipp Dufter | Martin Schmitt | Hinrich Schütze |

Towards a Broad Coverage Named Entity Resource: A Data-Efficient Approach for Many Diverse Languages LREC

Silvia Severini | Ayyoob ImaniGooghari | Philipp Dufter | Hinrich Schütze |

Don’t Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings BUCC LREC

Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging AACL IJCNLP

Sajad Mirzababaei | Amir Hossein Kargaran | Hinrich Schütze | Ehsaneddin Asgari |

Does She Wink or Does She Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models EACL

Lutfi Kerem Senel | Hinrich Schütze |

Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data AdaptNLP EACL

Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models EACL

Nora Kassner | Philipp Dufter | Hinrich Schütze |

Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference EACL

Timo Schick | Hinrich Schütze |

Language Models for Lexical Inference in Context EACL

Martin Schmitt | Hinrich Schütze |

Multidomain Pretrained Language Models for Green NLP AdaptNLP EACL

Antonios Maronikolakis | Hinrich Schütze |

Multi-source Neural Topic Modeling in Multi-view Embedding Spaces NAACL

Pankaj Gupta | Yatin Chaudhary | Hinrich Schütze |

It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners NAACL

Timo Schick | Hinrich Schütze |

Identifying Automatically Generated Headlines using Transformers NAACL NLP4IF

Antonis Maronikolakis | Hinrich Schütze | Mark Stevenson |

Static Embeddings as Efficient Knowledge Bases? NAACL

Philipp Dufter | Nora Kassner | Hinrich Schütze |

Modeling Graph Structure via Relative Position for Text Generation from Knowledge Graphs NAACL TextGraphs

Dynamic Contextualized Word Embeddings ACL IJCNLP

Valentin Hofmann | Janet Pierrehumbert | Hinrich Schütze |

BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief EMNLP

Nora Kassner | Oyvind Tafjord | Hinrich Schütze | Peter Clark |

Semi-Automated Labeling of Requirement Datasets for Relation Extraction BUCC RANLP

Proceedings of the First Workshop on Interactive Learning for Natural Language Processing ACL IJCNLP InterNLP

Continuous Entailment Patterns for Lexical Inference in Context EMNLP

Martin Schmitt | Hinrich Schütze |

Wine is not v i n. On the Compatibility of Tokenizations across Languages EMNLP Findings

Antonis Maronikolakis | Philipp Dufter | Hinrich Schütze |

Investigating Pretrained Language Models for Graph-to-Text Generation EMNLP NLP4ConvAI

Leonardo F. R. Ribeiro | Martin Schmitt | Hinrich Schütze | Iryna Gurevych |

Superbizarre Is Not Superb: Derivational Morphology Improves BERT’s Interpretation of Complex Words ACL IJCNLP

Valentin Hofmann | Janet Pierrehumbert | Hinrich Schütze |

Measuring and Improving Consistency in Pretrained Language Models TACL

ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus ACL IJCNLP

Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP TACL

Timo Schick | Sahana Udupa | Hinrich Schütze |

BERT Cannot Align Characters EMNLP insights

Antonis Maronikolakis | Philipp Dufter | Hinrich Schütze |

Erratum: Measuring and Improving Consistency in Pretrained Language Models TACL

Graph Algorithms for Multiparallel Word Alignment EMNLP

Few-Shot Text Generation with Natural Language Instructions EMNLP

Timo Schick | Hinrich Schütze |

A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ACL IJCNLP

Discrete and Soft Prompting for Multilingual Models EMNLP

Mengjie Zhao | Hinrich Schütze |

Generating Datasets with Pretrained Language Models EMNLP

Timo Schick | Hinrich Schütze |

Predicting the Growth of Morphological Families from Social and Linguistic Factors ACL

Valentin Hofmann | Janet Pierrehumbert | Hinrich Schütze |

Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity ACL

Nina Poerner | Ulli Waltinger | Hinrich Schütze |

Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly ACL

Nora Kassner | Hinrich Schütze |

BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance ACL

Timo Schick | Hinrich Schütze |

A Graph Auto-encoder Model of Derivational Morphology ACL

Valentin Hofmann | Hinrich Schütze | Janet Pierrehumbert |

Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations COLING

Sheng Liang | Philipp Dufter | Hinrich Schütze |

Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction COLING

Silvia Severini | Viktor Hangya | Alexander Fraser | Hinrich Schütze |

EmbLexChange at SemEval-2020 Task 1: Unsupervised Embedding-based Detection of Lexical Semantic Changes COLING SemEval

Ehsaneddin Asgari | Christoph Ringlstetter | Hinrich Schütze |

Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification COLING

Timo Schick | Helmut Schmid | Hinrich Schütze |

Increasing Learning Efficiency of Self-Attention Networks through Direct Position Interactions, Learnable Temperature, and Convoluted Attention COLING

Philipp Dufter | Martin Schmitt | Hinrich Schütze |

Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA EMNLP Findings

Nina Poerner | Ulli Waltinger | Hinrich Schütze |

SimAlign: High Quality Word Alignments Without Parallel Training Data Using Static and Contextualized Embeddings EMNLP Findings

Masoud Jalili Sabet | Philipp Dufter | François Yvon | Hinrich Schütze |

Masking as an Efficient Alternative to Finetuning for Pretrained Language Models EMNLP

BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA EMNLP Findings

Nora Kassner | Hinrich Schütze |

Quantifying the Contextualization of Word Representations with Semantic Class Probing EMNLP Findings

Mengjie Zhao | Philipp Dufter | Yadollah Yaghoobzadeh | Hinrich Schütze |

DagoBERT: Generating Derivational Morphology with a Pretrained Language Model EMNLP

Valentin Hofmann | Janet Pierrehumbert | Hinrich Schütze |

E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT EMNLP Findings

Nina Poerner | Ulli Waltinger | Hinrich Schütze |

TopicBERT for Energy Efficient Document Classification EMNLP Findings

An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing EMNLP

Martin Schmitt | Sahand Sharifzadeh | Volker Tresp | Hinrich Schütze |

Are Pretrained Language Models Symbolic Reasoners over Knowledge? CoNLL

Nora Kassner | Benno Krojer | Hinrich Schütze |

Identifying Elements Essential for BERT’s Multilinguality EMNLP

Philipp Dufter | Hinrich Schütze |

LMU Bilingual Dictionary Induction System with Word Surface Similarity Scores for BUCC 2020 BUCC LREC WS

Silvia Severini | Viktor Hangya | Alexander Fraser | Hinrich Schütze |

ThaiLMCut: Unsupervised Pretraining for Thai Word Segmentation LREC

Embedding Space Correlation as a Measure of Domain Similarity LREC

Anne Beyer | Göran Kauermann | Hinrich Schütze |

Analytical Methods for Interpretable Ultradense Word Embeddings EMNLP

Philipp Dufter | Hinrich Schütze |

Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection EMNLP

Nina Poerner | Hinrich Schütze |

Neural Architectures for Fine-Grained Propaganda Detection in News EMNLP WS

Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019 EMNLP WS

Pankaj Gupta | Usama Yaseen | Hinrich Schütze |

BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions EMNLP WS

Pankaj Gupta | Yatin Chaudhary | Hinrich Schütze |

Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts NAACL

Timo Schick | Hinrich Schütze |

Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging NAACL

Apostolos Kemos | Heike Adel | Hinrich Schütze |

News Article Teaser Tweets and How to Generate Them NAACL

Sanjeev Kumar Karn | Mark Buckley | Ulli Waltinger | Hinrich Schütze |

Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes ACL

Marina Sedinkina | Nikolas Breitkopf | Hinrich Schütze |

SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference ACL

Martin Schmitt | Hinrich Schütze |

A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction ACL

Mengjie Zhao | Hinrich Schütze |

Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings ACL

Towards Summarization for Social Media - Results of the TL;DR Challenge INLG WS

Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs COLING

Wenpeng Yin | Yadollah Yaghoobzadeh | Hinrich Schütze |

Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing EMNLP

Yadollah Yaghoobzadeh | Hinrich Schütze |

Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting EMNLP

Katharina Kann | Hinrich Schütze |

Joint Bootstrapping Machines for High Confidence Relation Extraction NAACL

Pankaj Gupta | Benjamin Roth | Hinrich Schütze |

Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages NAACL

Katharina Kann | Jesus Manuel Mager Hois | Ivan Vladimir Meza-Ruiz | Hinrich Schütze |

Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time NAACL

Pankaj Gupta | Subburam Rajaram | Hinrich Schütze | Bernt Andrassy |

Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement ACL

Nina Poerner | Hinrich Schütze | Benjamin Roth |

Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly Applicable ACL

Viktor Hangya | Fabienne Braune | Alexander Fraser | Hinrich Schütze |

Embedding Learning Through Multilingual Concept Induction ACL

End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions ACL

Wenpeng Yin | Dan Roth | Hinrich Schütze |

Joint Semantic Synthesis and Morphological Analysis of the Derived Word TACL

Ryan Cotterell | Hinrich Schütze |

Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms TACL

Wenpeng Yin | Hinrich Schütze |

Proceedings of the Second Workshop on Subword/Character LEvel Models NAACL SCLeM WS

Evaluating Word Embeddings in Multi-label Classification Using Fine-Grained Name Typing ACL WS

Yadollah Yaghoobzadeh | Katharina Kann | Hinrich Schütze |

Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts COLING SemDeep WS

Pankaj Gupta | Bernt Andrassy | Hinrich Schütze |

LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation EMNLP WS

Pankaj Gupta | Hinrich Schütze |

Interpretable Textual Neuron Representations for NLP EMNLP WS

Nina Poerner | Benjamin Roth | Hinrich Schütze |

Task Proposal: The TL;DR Challenge INLG WS

Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 Languages EMNLP

Ehsaneddin Asgari | Hinrich Schütze |

Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification EMNLP

Heike Adel | Hinrich Schütze |

Exploring Different Dimensions of Attention for Uncertainty Detection EACL

Heike Adel | Hinrich Schütze |

Neural Multi-Source Morphological Reinflection EACL

Katharina Kann | Ryan Cotterell | Hinrich Schütze |

Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities EACL

Yadollah Yaghoobzadeh | Hinrich Schütze |

Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching EACL

Wenpeng Yin | Hinrich Schütze |

Nonsymbolic Text Representation EACL

Hinrich Schütze |

Noise Mitigation for Neural Entity Typing and Relation Extraction EACL

Yadollah Yaghoobzadeh | Heike Adel | Hinrich Schütze |

End-to-End Trainable Attentive Decoder for Hierarchical Entity Classification EACL

Sanjeev Karn | Ulli Waltinger | Hinrich Schütze |

Statistical Models for Unsupervised, Semi-Supervised Supervised Transliteration Mining CL

Hassan Sajjad | Helmut Schmid | Alexander Fraser | Hinrich Schütze |

AutoExtend: Combining Word Embeddings with Semantic Resources CL

Sascha Rothe | Hinrich Schütze |

Training Data Augmentation for Low-Resource Morphological Inflection CoNLL

Toms Bergmanis | Katharina Kann | Hinrich Schütze | Sharon Goldwater |

The LMU System for the CoNLL-SIGMORPHON 2017 Shared Task on Universal Morphological Reinflection CoNLL

Katharina Kann | Hinrich Schütze |

One-Shot Neural Cross-Lingual Transfer for Paradigm Completion ACL

Katharina Kann | Ryan Cotterell | Hinrich Schütze |

Proceedings of the First Workshop on Subword and Character Level Models in NLP WS

Manaal Faruqui | Hinrich Schuetze | Isabel Trancoso | Yadollah Yaghoobzadeh |

Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models WS

Katharina Kann | Hinrich Schütze |

Simple Question Answering by Attentive Convolutional Neural Network COLING

Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction COLING

Pankaj Gupta | Hinrich Schütze | Bernt Andrassy |

LAMB: A Good Shepherd of Morphologically Rich Languages EMNLP

Sebastian Ebert | Thomas Müller | Hinrich Schütze |

Neural Morphological Analysis: Encoding-Decoding Canonical Segments EMNLP

Katharina Kann | Ryan Cotterell | Hinrich Schütze |

Morphological Segmentation Inside-Out EMNLP

Ryan Cotterell | Arun Kumar | Hinrich Schütze |

Combining Recurrent and Convolutional Neural Networks for Relation Classification NAACL

Ngoc Thang Vu | Heike Adel | Pankaj Gupta | Hinrich Schütze |

A Joint Model of Orthography and Morphological Segmentation NAACL

Ryan Cotterell | Tim Vieira | Hinrich Schütze |

Ultradense Word Embeddings by Orthogonal Transformation NAACL

Sascha Rothe | Sebastian Ebert | Hinrich Schütze |

Comparing Convolutional Neural Networks to Traditional Models for Slot Filling NAACL

Heike Adel | Benjamin Roth | Hinrich Schütze |

Intrinsic Subspace Evaluation of Word Embedding Representations ACL

Yadollah Yaghoobzadeh | Hinrich Schütze |

Learning Word Meta-Embeddings ACL

Wenpeng Yin | Hinrich Schütze |

Morphological Smoothing and Extrapolation of Word Embeddings ACL

Ryan Cotterell | Hinrich Schütze | Jason Eisner |

Word Embedding Calculus in Meaningful Ultradense Subspaces ACL

Sascha Rothe | Hinrich Schütze |

Single-Model Encoder-Decoder with Explicit Morphological Representation for Reinflection ACL

Katharina Kann | Hinrich Schütze |

ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs TACL

Wenpeng Yin | Hinrich Schütze | Bing Xiang | Bowen Zhou |

Attention-Based Convolutional Neural Network for Machine Comprehension WS

Wenpeng Yin | Sebastian Ebert | Hinrich Schütze |

MED: The LMU System for the SIGMORPHON 2016 Shared Task on Morphological Reinflection SIGMORPHON WS

Katharina Kann | Hinrich Schütze |

Learning Better Embeddings for Rare Words Using Distributional Representations EMNLP

Irina Sergienya | Hinrich Schütze |

Corpus-level Fine-grained Entity Typing Using Contextual Information EMNLP

Yadollah Yaghoobzadeh | Hinrich Schütze |

Online Updating of Word Representations for Part-of-Speech Tagging EMNLP

Wenpeng Yin | Tobias Schnabel | Hinrich Schütze |

Joint Lemmatization and Morphological Tagging with Lemming EMNLP

Thomas Müller | Ryan Cotterell | Alexander Fraser | Hinrich Schütze |

The Operation Sequence Model—Combining N-Gram-Based and Phrase-Based Statistical Machine Translation CL

Labeled Morphological Segmentation with Semi-Markov Models CoNLL

Ryan Cotterell | Thomas Müller | Alexander Fraser | Hinrich Schütze |

Multichannel Variable-Size Convolution for Sentence Classification CoNLL

Wenpeng Yin | Hinrich Schütze |

Robust Morphological Tagging with Word Representations NAACL

Thomas Müller | Hinrich Schuetze |

Convolutional Neural Network for Paraphrase Identification NAACL

Wenpeng Yin | Hinrich Schütze |

Morphological Word-Embeddings NAACL

Ryan Cotterell | Hinrich Schütze |

Discriminative Phrase Embedding for Paraphrase Identification NAACL

Wenpeng Yin | Hinrich Schütze |

MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity ACL IJCNLP

Wenpeng Yin | Hinrich Schütze |

AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes ACL IJCNLP

Sascha Rothe | Hinrich Schütze |

CIS-positive: A Combination of Convolutional Neural Networks and Support Vector Machines for Sentiment Analysis in Twitter *SEMEVAL

Sebastian Ebert | Ngoc Thang Vu | Hinrich Schütze |