NLPExplorer

Chris Biemann

Number of Papers:- 119

Number of Citations:- 454

First ACL Paper:- 2002

Latest ACL Paper:- 2020

Venues:-

EMNLP

BEA

MWE

*SEMEVAL

CogALex

LREC

ICON

IWCS

ACL

LT4DH

EACL

SemEval

IJCNLP

NoDaLiDa

PEOPLES

TextGraphs

Rep4NLP

NAACL

RANLP

WAC

SENSE

CoNLL

COLING

Co-Authors:-

Similar Authors:-

Estimating the influence of auxiliary tasks for multi-task learning of sequence tagging tasks ACL

Fynn Schröder | Chris Biemann |

Social Media Unrest Prediction during the COVID-19 Pandemic: Neural Implicit Motive Pattern Recognition as Psychometric Signs of Severe Crises COLING PEOPLES

Dirk Johannßen | Chris Biemann |

Individual corpora predict fast memory retrieval during reading COLING CogALex

UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection COLING SemEval

Gregor Wiedemann | Seid Muhie Yimam | Chris Biemann |

Exploring Amharic Sentiment Analysis from Social Media Texts: Building Annotation Tools and Classification Models COLING

Seid Muhie Yimam | Hizkiel Mitiku Alemayehu | Abinew Ayele | Chris Biemann |

Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing System LREC

Seid Muhie Yimam | Gopalakrishnan Venkatesh | John Lee | Chris Biemann |

Word Sense Disambiguation for 158 Languages using Word Embeddings Only LREC

LT Expertfinder: An Evaluation Framework for Expert Finding Methods NAACL

Tim Fischer | Steffen Remus | Chris Biemann |

On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings ACL

Making Fast Graph-based Algorithms with Graph Metric Embeddings ACL

Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings ACL

Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records ACL

Max Friedrich | Arne Köhn | Gregor Wiedemann | Chris Biemann |

Improving Neural Entity Disambiguation with Graph Embeddings ACL

Özge Sevgili | Alexander Panchenko | Chris Biemann |

Hierarchical Multi-label Classification of Text with Capsule Networks ACL

Rami Aly | Steffen Remus | Chris Biemann |

TARGER: Neural Argument Mining at Your Fingertips ACL

Learning Graph Embeddings from WordNet-based Similarity Measures *SEMEVAL

HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings *SEMEVAL

UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection *SEMEVAL

Gregor Wiedemann | Eugen Ruppert | Chris Biemann |

Language-Agnostic Model for Aspect-Based Sentiment Analysis IWCS WS

Reviving a psychometric measure: Classification and prediction of the Operant Motive Test NAACL WS

Dirk Johannßen | Chris Biemann | David Scheffer |

Categorizing Comparative Sentences ACL WS

Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction CL

Dmitry Ustalov | Alexander Panchenko | Chris Biemann | Simone Paolo Ponzetto |

Par4Sim – Adaptive Paraphrasing for Text Simplification COLING

Seid Muhie Yimam | Chris Biemann |

Demonstrating Par4Sem - A Semantic Writing Aid with Adaptive Paraphrasing EMNLP

Seid Muhie Yimam | Chris Biemann |

A Multilingual Information Extraction Pipeline for Investigative Journalism EMNLP

Gregor Wiedemann | Seid Muhie Yimam | Chris Biemann |

Using Semantics for Granularities of Tokenization CL

Martin Riedl | Chris Biemann |

Enriching Frame Representations with Distributionally Induced Senses LREC

Stefano Faralli | Alexander Panchenko | Chris Biemann | Simone Paolo Ponzetto |

An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages LREC

Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities LREC

Steffen Remus | Chris Biemann |

Improving Hypernymy Extraction with Distributional Semantic Classes LREC

Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl LREC

Document-based Recommender System for Job Postings using Dense Representations NAACL

Ahmed Elsafty | Martin Riedl | Chris Biemann |

Unsupervised Semantic Frame Induction using Triclustering ACL

BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes *SEMEVAL

Enrico Santus | Chris Biemann | Emmanuele Chersoni |

A Report on the Complex Word Identification Shared Task 2018 BEA NAACL WS

Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation EMNLP

Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation EACL

The ContrastMedium Algorithm: Taxonomy Induction From Noisy Knowledge Graphs With Just A Few Links EACL

Stefano Faralli | Alexander Panchenko | Chris Biemann | Simone Paolo Ponzetto |

Negative Sampling Improves Hypernymy Extraction Based on Projection Learning EACL

Dmitry Ustalov | Nikolay Arefyev | Chris Biemann | Alexander Panchenko |

CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups IJCNLP

Seid Muhie Yimam | Sanja Štajner | Martin Riedl | Chris Biemann |

Watset: Automatic Induction of Synsets from a Graph of Synonyms ACL

Dmitry Ustalov | Alexander Panchenko | Chris Biemann |

Multilingual and Cross-Lingual Complex Word Identification RANLP

Seid Muhie Yimam | Sanja Štajner | Martin Riedl | Chris Biemann |

IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification *SEMEVAL

STS-UHH at SemEval-2017 Task 1: Scoring Semantic Textual Similarity Using Supervised and Unsupervised Ensemble *SEMEVAL

Sarah Kohail | Amr Rekaby Salama | Chris Biemann |

IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial Text *SEMEVAL

Replacing OOV Words For Dependency Parsing With Distributional Semantics NoDaLiDa WS

Prasanth Kolachina | Martin Riedl | Chris Biemann |

Using Pseudowords for Algorithm Comparison: An Evaluation Framework for Graph-based Word Sense Induction NoDaLiDa WS

Flavio Massimiliano Cecchini | Chris Biemann | Martin Riedl |

Using Linked Disambiguated Distributional Networks for Word Sense Disambiguation SENSE WS

Alexander Panchenko | Stefano Faralli | Simone Paolo Ponzetto | Chris Biemann |

There’s no ‘Count or Predict’ but task-based selection for distributional models IWCS WS

Martin Riedl | Chris Biemann |

Entity-Centric Information Access with Human in the Loop for the Biomedical Domain RANLP WS

Ambient Search: A Document Retrieval System for Speech Streams COLING

Demonstrating Ambient Search: Implicit Document Retrieval for Speech Streams COLING

Domain-Specific Corpus Expansion with Focused Webcrawling LREC

Steffen Remus | Chris Biemann |

SemRelData ― Multilingual Contextual Annotation of Semantic Relations between Nominals: Dataset and Guidelines LREC

Darina Benikova | Chris Biemann |

Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods NAACL

Martin Riedl | Chris Biemann |

Language Transfer Learning for Supervised Lexical Substitution ACL

Gerold Hintz | Chris Biemann |

new/s/leak – Information Extraction and Visualization for Investigative Data Journalists ACL

IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis *SEMEVAL

TAXI at SemEval-2016 Task 13: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling *SEMEVAL

Syntax is from Mars while Semantics from Venus! Insights from Spectral Analysis of Distributional Similarity Networks ACL IJCNLP

Chris Biemann | Monojit Choudhury | Animesh Mukherjee |

Chinese Whispers - an Efficient Graph Clustering Algorithm and its Application to Natural Language Processing Problems WS

Chris Biemann |