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Chris Biemann
Number of Papers:- 112
Number of Citations:- 454
First ACL Paper:- 2002
Latest ACL Paper:- 2020
Venues:-
NoDaLiDa
WS
ACL
EACL
CogALex
CL
IJCNLP
IWCS
CoNLL
Rep4NLP
ICON
BEA
SENSE
NAACL
COLING
WAC
EMNLP
*SEMEVAL
LT4DH
LREC
RANLP
MWE
TextGraphs
Co-Authors:-
Abhik Jana
Abhishek Kumar
Abhishek Sethi
Ahmed Elsafty
Alexander Bondarenko
Similar Authors:-
Jia Liu
Mingyu You
Hwiyeol Jo
Stanley Jungkyu Choi
Yanrong Wu
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2004
2002
Estimating the influence of auxiliary tasks for multi-task learning of sequence tagging tasks
ACL
Fynn Schröder |
Chris Biemann |
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
Abhik Jana |
Dima Puzyrev |
Alexander Panchenko |
Pawan Goyal |
Chris Biemann |
Animesh Mukherjee |
Making Fast Graph-based Algorithms with Graph Metric Embeddings
ACL
Andrey Kutuzov |
Mohammad Dorgham |
Oleksiy Oliynyk |
Chris Biemann |
Alexander Panchenko |
Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings
ACL
Rami Aly |
Shantanu Acharya |
Alexander Ossa |
Arne Köhn |
Chris Biemann |
Alexander Panchenko |
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
Artem Chernodub |
Oleksiy Oliynyk |
Philipp Heidenreich |
Alexander Bondarenko |
Matthias Hagen |
Chris Biemann |
Alexander Panchenko |
Learning Graph Embeddings from WordNet-based Similarity Measures
*SEMEVAL
Andrey Kutuzov |
Mohammad Dorgham |
Oleksiy Oliynyk |
Chris Biemann |
Alexander Panchenko |
HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings
*SEMEVAL
Saba Anwar |
Dmitry Ustalov |
Nikolay Arefyev |
Simone Paolo Ponzetto |
Chris Biemann |
Alexander Panchenko |
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
Md Shad Akhtar |
Abhishek Kumar |
Asif Ekbal |
Chris Biemann |
Pushpak Bhattacharyya |
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
Alexander Panchenko |
Alexander Bondarenko |
Mirco Franzek |
Matthias Hagen |
Chris Biemann |
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
Dmitry Ustalov |
Denis Teslenko |
Alexander Panchenko |
Mikhail Chernoskutov |
Chris Biemann |
Simone Paolo Ponzetto |
Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities
LREC
Steffen Remus |
Chris Biemann |
Improving Hypernymy Extraction with Distributional Semantic Classes
LREC
Alexander Panchenko |
Dmitry Ustalov |
Stefano Faralli |
Simone P. Ponzetto |
Chris Biemann |
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl
LREC
Alexander Panchenko |
Eugen Ruppert |
Stefano Faralli |
Simone P. Ponzetto |
Chris Biemann |
Document-based Recommender System for Job Postings using Dense Representations
NAACL
Ahmed Elsafty |
Martin Riedl |
Chris Biemann |
Unsupervised Semantic Frame Induction using Triclustering
ACL
Dmitry Ustalov |
Alexander Panchenko |
Andrey Kutuzov |
Chris Biemann |
Simone Paolo Ponzetto |
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
Seid Muhie Yimam |
Chris Biemann |
Shervin Malmasi |
Gustavo Paetzold |
Lucia Specia |
Sanja Štajner |
Anaïs Tack |
Marcos Zampieri |
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation
EMNLP
Alexander Panchenko |
Fide Marten |
Eugen Ruppert |
Stefano Faralli |
Dmitry Ustalov |
Simone Paolo Ponzetto |
Chris Biemann |
Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation
EACL
Alexander Panchenko |
Eugen Ruppert |
Stefano Faralli |
Simone Paolo Ponzetto |
Chris Biemann |
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
Titas Nandi |
Chris Biemann |
Seid Muhie Yimam |
Deepak Gupta |
Sarah Kohail |
Asif Ekbal |
Pushpak Bhattacharyya |
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
Abhishek Kumar |
Abhishek Sethi |
Md Shad Akhtar |
Asif Ekbal |
Chris Biemann |
Pushpak Bhattacharyya |
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
Seid Muhie Yimam |
Steffen Remus |
Alexander Panchenko |
Andreas Holzinger |
Chris Biemann |
Ambient Search: A Document Retrieval System for Speech Streams
COLING
Benjamin Milde |
Jonas Wacker |
Stefan Radomski |
Max Mühlhäuser |
Chris Biemann |
Demonstrating Ambient Search: Implicit Document Retrieval for Speech Streams
COLING
Benjamin Milde |
Jonas Wacker |
Stefan Radomski |
Max Mühlhäuser |
Chris Biemann |
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
Seid Muhie Yimam |
Heiner Ulrich |
Tatiana von Landesberger |
Marcel Rosenbach |
Michaela Regneri |
Alexander Panchenko |
Franziska Lehmann |
Uli Fahrer |
Chris Biemann |
Kathrin Ballweg |
IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis
*SEMEVAL
Ayush Kumar |
Sarah Kohail |
Amit Kumar |
Asif Ekbal |
Chris Biemann |
TAXI at SemEval-2016 Task 13: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling
*SEMEVAL
Alexander Panchenko |
Stefano Faralli |
Eugen Ruppert |
Steffen Remus |
Hubert Naets |
Cédrick Fairon |
Simone Paolo Ponzetto |
Chris Biemann |
Making Sense of Word Embeddings
Rep4NLP
WS
Maria Pelevina |
Nikolay Arefiev |
Chris Biemann |
Alexander Panchenko |
Learning Paraphrasing for Multiword Expressions
MWE
WS
Seid Muhie Yimam |
Héctor Martínez Alonso |
Martin Riedl |
Chris Biemann |
Impact of MWE Resources on Multiword Recognition
MWE
WS
Martin Riedl |
Chris Biemann |
EmpiriST: AIPHES - Robust Tokenization and POS-Tagging for Different Genres
WAC
WS
Steffen Remus |
Gerold Hintz |
Chris Biemann |
Christian M. Meyer |
Darina Benikova |
Judith Eckle-Kohler |
Margot Mieskes |
Thomas Arnold |
A Web-based Tool for the Integrated Annotation of Semantic and Syntactic Structures
LT4DH
WS
Richard Eckart de Castilho |
Éva Mújdricza-Maydt |
Seid Muhie Yimam |
Silvana Hartmann |
Iryna Gurevych |
Anette Frank |
Chris Biemann |
Vectors or Graphs? On Differences of Representations for Distributional Semantic Models
CogALex
WS
Chris Biemann |
Towards a resource based on users’ knowledge to overcome the Tip of the Tongue problem.
CogALex
WS
Michael Zock |
Chris Biemann |
A Single Word is not Enough: Ranking Multiword Expressions Using Distributional Semantics
EMNLP
Martin Riedl |
Chris Biemann |
Book Reviews: Ontology-Based Interpretation of Natural Language by Philipp Cimiano, Christina Unger and John McCrae
CL
Chris Biemann |
Do Supervised Distributional Methods Really Learn Lexical Inference Relations?
NAACL
Omer Levy |
Steffen Remus |
Chris Biemann |
Ido Dagan |
JoBimViz: A Web-based Visualization for Graph-based Distributional Semantic Models
ACL
IJCNLP
Eugen Ruppert |
Manuel Kaufmann |
Martin Riedl |
Chris Biemann |
Distributional Semantics for Resolving Bridging Mentions
RANLP
Tim Feuerbach |
Martin Riedl |
Chris Biemann |
Combining Supervised and Unsupervised Parsing for Distributional Similarity
COLING
Martin Riedl |
Irina Alles |
Chris Biemann |
DISTRIBUTED DISTRIBUTIONAL SIMILARITIES OF GOOGLE BOOKS OVER THE CENTURIES
LREC
Martin Riedl |
Richard Steuer |
Chris Biemann |
NoSta-D Named Entity Annotation for German: Guidelines and Dataset
LREC
Darina Benikova |
Chris Biemann |
Marc Reznicek |
Lexical Substitution Dataset for German
LREC
Kostadin Cholakov |
Chris Biemann |
Judith Eckle-Kohler |
Iryna Gurevych |
That’s sick dude!: Automatic identification of word sense change across different timescales
ACL
Sunny Mitra |
Ritwik Mitra |
Martin Riedl |
Chris Biemann |
Animesh Mukherjee |
Pawan Goyal |
Automatic Annotation Suggestions and Custom Annotation Layers in WebAnno
ACL
Seid Muhie Yimam |
Chris Biemann |
Richard Eckart de Castilho |
Iryna Gurevych |
Multiobjective Optimization and Unsupervised Lexical Acquisition for Named Entity Recognition and Classification
ICON
WS
Govind |
Asif Ekbal |
Chris Biemann |
Scaling to Large³ Data: An Efficient and Effective Method to Compute Distributional Thesauri
EMNLP
Martin Riedl |
Chris Biemann |
Three Knowledge-Free Methods for Automatic Lexical Chain Extraction
NAACL
Steffen Remus |
Chris Biemann |
Supervised All-Words Lexical Substitution using Delexicalized Features
NAACL
György Szarvas |
Chris Biemann |
Iryna Gurevych |
WebAnno: A Flexible, Web-based and Visually Supported System for Distributed Annotations
ACL
Seid Muhie Yimam |
Iryna Gurevych |
Richard Eckart de Castilho |
Chris Biemann |
SemEval-2013 Task 5: Evaluating Phrasal Semantics
*SEMEVAL
Ioannis Korkontzelos |
Torsten Zesch |
Fabio Massimo Zanzotto |
Chris Biemann |
Exploring Cities in Crime: Significant Concordance and Co-occurrence in Quantitative Literary Analysis
WS
Janneke Rauscher |
Leonard Swiezinski |
Martin Riedl |
Chris Biemann |
JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity
TextGraphs
WS
Chris Biemann |
Bonaventura Coppola |
Michael R. Glass |
Alfio Gliozzo |
Matthew Hatem |
Martin Riedl |
From Global to Local Similarities: A Graph-Based Contextualization Method using Distributional Thesauri
TextGraphs
WS
Martin Riedl |
Chris Biemann |
Quantifying Semantics using Complex Network Analysis
COLING
Chris Biemann |
Stefanie Roos |
Karsten Weihe |
Using Distributional Similarity for Lexical Expansion in Knowledge-based Word Sense Disambiguation
COLING
Tristan Miller |
Chris Biemann |
Torsten Zesch |
Iryna Gurevych |
Book Review: Graph-Based Natural Language Processing and Information Retrieval by Rada Mihalcea and Dragomir Radev
CL
Chris Biemann |
Turk Bootstrap Word Sense Inventory 2.0: A Large-Scale Resource for Lexical Substitution
LREC
Chris Biemann |
How Text Segmentation Algorithms Gain from Topic Models
NAACL
Martin Riedl |
Chris Biemann |
UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures
*SEMEVAL
Daniel Bär |
Chris Biemann |
Iryna Gurevych |
Torsten Zesch |
Proceedings of the Joint Workshop on Unsupervised and Semi-Supervised Learning in NLP
WS
Omri Abend |
Chris Biemann |
Anna Korhonen |
Ari Rappoport |
Roi Reichart |
Anders Søgaard |
Sweeping through the Topic Space: Bad luck? Roll again!
WS
Martin Riedl |
Chris Biemann |
TopicTiling: A Text Segmentation Algorithm based on LDA
ACL
WS
Martin Riedl |
Chris Biemann |
Proceedings of the Workshop on Distributional Semantics and Compositionality
WS
Chris Biemann |
Eugenie Giesbrecht |
Distributional Semantics and Compositionality 2011: Shared Task Description and Results
WS
Chris Biemann |
Eugenie Giesbrecht |
Proceedings of Workshop on Robust Unsupervised and Semisupervised Methods in Natural Language Processing
WS
Chris Biemann |
Anders Søgaard |
Co-Occurrence Cluster Features for Lexical Substitutions in Context
WS
Chris Biemann |
Syntax is from Mars while Semantics from Venus! Insights from Spectral Analysis of Distributional Similarity Networks
ACL
IJCNLP
Chris Biemann |
Monojit Choudhury |
Animesh Mukherjee |
Unsupervised Parts-of-Speech Induction for Bengali
LREC
Joydeep Nath |
Monojit Choudhury |
Animesh Mukherjee |
Christian Biemann |
Niloy Ganguly |
ASV Toolbox: a Modular Collection of Language Exploration Tools
LREC
Chris Biemann |
Uwe Quasthoff |
Gerhard Heyer |
Florian Holz |
Coling 2008: Proceedings of the 3rd Textgraphs workshop on Graph-based Algorithms for Natural Language Processing
WS
Irina Matveeva |
Chris Biemann |
Monojit Choudhury |
Mona Diab |
A Random Text Model for the Generation of Statistical Language Invariants
NAACL
Chris Biemann |
Unsupervised Natural Language Processing Using Graph Models
NAACL
Chris Biemann |
Proceedings of the ACL 2007 Student Research Workshop
ACL
Chris Biemann |
Violeta Seretan |
Ellen Riloff |
Proceedings of the Second Workshop on TextGraphs: Graph-Based Algorithms for Natural Language Processing
WS
Chris Biemann |
Irina Matveeva |
Rada Mihalcea |
Dragomir Radev |
Combining Contexts in Lexicon Learning for Semantic Parsing
NoDaLiDa
WS
Richard Socher |
Chris Biemann |
Rainer Osswald |
Íslenskur Orðasjóður – Building a Large Icelandic Corpus
NoDaLiDa
WS
Erla Hallsteinsdóttir |
Thomas Eckart |
Chris Biemann |
Uwe Quasthoff |
Matthias Richter |
Corpus Portal for Search in Monolingual Corpora
LREC
Uwe Quasthoff |
Matthias Richter |
Christian Biemann |
Unsupervised Part-of-Speech Tagging Employing Efficient Graph Clustering
ACL
COLING
Chris Biemann |
Dictionary acquisition using parallel text and co-occurrence statistics
NoDaLiDa
WS
Chris Biemann |
Uwe Quasthoff |
Rigorous dimensionality reduction through linguistically motivated feature selection for text categorization
NoDaLiDa
WS
Hans Friedrich Witschel |
Chris Biemann |
Chinese Whispers - an Efficient Graph Clustering Algorithm and its Application to Natural Language Processing Problems
WS
Chris Biemann |
Semiautomatic Extension of CoreNet using a Bootstrapping Mechanism on Corpus-based Co-occurrences
COLING
Chris Biemann |
Sa-Im Shin |
Key-Sun Choi |
Linguistic Corpus Search
LREC
Christian Biemann |
Uwe Quasthoff |
Christian Wolff |
Automatic Acquisition of Paradigmatic Relations Using Iterated Co-occurrences
LREC
Chris Biemann |
Stefan Bordag |
Uwe Quasthoff |
Web Services for Language Resources and Language Technology Applications
LREC
Christian Biemann |
Stefan Bordag |
Uwe Quasthoff |
Christian Wolff |
Named Entity Learning and Verification: Expectation Maximization in Large Corpora
CoNLL
WS
Uwe Quasthoff |
Christian Biemann |
Christian Wolff |
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