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Chris Biemann
Number of Papers:- 157
Number of Citations:- 454
First ACL Paper:- 2002
Latest ACL Paper:- 2024
Venues:-
I
NeusymBridge
NAACL
CoNLL
L
PEOPLES
KONVENS
P
TRAC
COLING
SIGUL
LaTeCHCLfL
s
EMNLP
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TextGraphs
LT4DH
WOAH
Findings
RANLP
SemEval
F
C
E
LREC
ALVR
M
CogALex
MWE
RaPID
N
CL
Rep4NLP
g
A
d
WS
IWCS
ACL
WAC
EACL
*SEMEVAL
i
PrivateNLP
IJCNLP
ICON
AACL
J
NoDaLiDa
SENSE
BEA
n
Co-Authors:-
Abhik Jana
Abhishek Kumar
Abhishek Sethi
Abinew Ali Ayele
Abinew Ayele
Similar Authors:-
Jia Liu
Mingyu You
Hwiyeol Jo
Stanley Jungkyu Choi
Yanrong Wu
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
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2002
Concept Over Time Analysis: Unveiling Temporal Patterns for Qualitative Data Analysis
NAACL
Tim Fischer |
Florian Schneider |
Robert Geislinger |
Florian Helfer |
Gertraud Koch |
Chris Biemann |
VIDA: The Visual Incel Data Archive. A Theory-oriented Annotated Dataset To Enhance Hate Detection Through Visual Culture
WOAH
WS
Selenia Anastasi |
Florian Schneider |
Chris Biemann |
Tim Fischer |
Coreference in Long Documents using Hierarchical Entity Merging
LaTeCHCLfL
WS
Talika Gupta |
Hans Ole Hatzel |
Chris Biemann |
Probing Large Language Models from a Human Behavioral Perspective
NeusymBridge
WS
Xintong Wang |
Xiaoyu Li |
Xingshan Li |
Chris Biemann |
Detecting Hate Speech in Amharic Using Multimodal Analysis of Social Media Memes
TRAC
WS
Melese Ayichlie Jigar |
Abinew Ali Ayele |
Seid Muhie Yimam |
Chris Biemann |
Exploring Boundaries and Intensities in Offensive and Hate Speech: Unveiling the Complex Spectrum of Social Media Discourse
TRAC
WS
Abinew Ali Ayele |
Esubalew Alemneh Jalew |
Adem Chanie Ali |
Seid Muhie Yimam |
Chris Biemann |
WISMIR3: A Multi-Modal Dataset to Challenge Text-Image Retrieval Approaches
ALVR
WS
Florian Schneider |
Chris Biemann |
On Improving Repository-Level Code QA for Large Language Models
ACL
Jan Strich |
Florian Schneider |
Irina Nikishina |
Chris Biemann |
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
F
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Xintong Wang |
Jingheng Pan |
Liang Ding |
Chris Biemann |
SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages
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Nedjma Ousidhoum |
Shamsuddeen Muhammad |
Mohamed Abdalla |
Idris Abdulmumin |
Ibrahim Ahmad |
Sanchit Ahuja |
Alham Aji |
Vladimir Araujo |
Abinew Ayele |
Pavan Baswani |
Meriem Beloucif |
Chris Biemann |
Sofia Bourhim |
Christine Kock |
Genet Dekebo |
Oumaima Hourrane |
Gopichand Kanumolu |
Lokesh Madasu |
Samuel Rutunda |
Manish Shrivastava |
Thamar Solorio |
Nirmal Surange |
Hailegnaw Tilaye |
Krishnapriya Vishnubhotla |
Genta Winata |
Seid Yimam |
Saif Mohammad |
Story Embeddings — Narrative-Focused Representations of Fictional Stories
EMNLP
Hans Ole Hatzel |
Chris Biemann |
Low-Resource Machine Translation through the Lens of Personalized Federated Learning
F
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Viktor Moskvoretskii |
Nazarii Tupitsa |
Chris Biemann |
Samuel Horváth |
Eduard Gorbunov |
Irina Nikishina |
CodeAnno: Extending WebAnno with Hierarchical Document Level Annotation and Automation
EACL
Florian Schneider |
Seid Muhie Yimam |
Fynn Petersen-frey |
Gerret Von Nordheim |
Katharina Kleinen-von K”onigsl”ow |
Chris Biemann |
LT at SemEval-2023 Task 1: Effective Zero-Shot Visual Word Sense Disambiguation Approaches using External Knowledge Sources
SemEval
Florian Schneider |
Chris Biemann |
The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing
F
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A
C
L
Debayan Banerjee |
Pranav Nair |
Ricardo Usbeck |
Chris Biemann |
Predicting Terms in IS-A Relations with Pre-trained Transformers
F
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J
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Irina Nikishina |
Polina Chernomorchenko |
Anastasiia Demidova |
Alexander Panchenko |
Chris Biemann |
The D-WISE Tool Suite: Multi-Modal Machine-Learning-Powered Tools Supporting and Enhancing Digital Discourse Analysis
ACL
Florian Schneider |
Tim Fischer |
Fynn Petersen-Frey |
Isabel Eiser |
Gertraud Koch |
Chris Biemann |
Improved Open Source Automatic Subtitling for Lecture Videos
KONVENS
WS
Robert Geislinger |
Benjamin Milde |
Chris Biemann |
More Like This: Semantic Retrieval with Linguistic Information
KONVENS
WS
Steffen Remus |
Gregor Wiedemann |
Saba Anwar |
Fynn Petersen-Frey |
Seid Muhie Yimam |
Chris Biemann |
Measuring Faithfulness of Abstractive Summaries
KONVENS
WS
Tim Fischer |
Steffen Remus |
Chris Biemann |
Question Answering Classification for Amharic Social Media Community Based Questions
LREC
SIGUL
Tadesse Destaw |
Seid Muhie Yimam |
Abinew Ayele |
Chris Biemann |
Dataset of Student Solutions to Algorithm and Data Structure Programming Assignments
LREC
Fynn Petersen-Frey |
Marcus Soll |
Louis Kobras |
Melf Johannsen |
Peter Kling |
Chris Biemann |
Classification of German Jungian Extraversion and Introversion Texts with Assessment of Changes During the COVID-19 Pandemic
LREC
RaPID
Dirk Johannßen |
Chris Biemann |
David Scheffer |
MOTIF: Contextualized Images for Complex Words to Improve Human Reading
LREC
Xintong Wang |
Florian Schneider |
Özge Alacam |
Prateek Chaudhury |
Chris Biemann |
Elvis vs. M. Jackson: Who has More Albums? Classification and Identification of Elements in Comparative Questions
LREC
Meriem Beloucif |
Seid Muhie Yimam |
Steffen Stahlhacke |
Chris Biemann |
Language over Labels: Contrastive Language Supervision Exceeds Purely Label-Supervised Classification Performance on Chest X-Rays
AACL
IJCNLP
Anton Wiehe |
Florian Schneider |
Sebastian Blank |
Xintong Wang |
Hans-Peter Zorn |
Christian Biemann |
Modeling Referential Gaze in Task-oriented Settings of Varying Referential Complexity
F
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A
A
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Özge Alacam |
Eugen Ruppert |
Sina Zarrieß |
Ganeshan Malhotra |
Chris Biemann |
Sina Zarrieß |
Which is Better for Deep Learning: Python or MATLAB? Answering Comparative Questions in Natural Language
EACL
Viktoriia Chekalina |
Alexander Bondarenko |
Chris Biemann |
Meriem Beloucif |
Varvara Logacheva |
Alexander Panchenko |
Forum 4.0: An Open-Source User Comment Analysis Framework
EACL
Marlo Haering |
Jakob Smedegaard Andersen |
Chris Biemann |
Wiebke Loosen |
Benjamin Milde |
Tim Pietz |
Christian Stöcker |
Gregor Wiedemann |
Olaf Zukunft |
Walid Maalej |
SCoT: Sense Clustering over Time: a tool for the analysis of lexical change
EACL
Christian Haase |
Saba Anwar |
Seid Muhie Yimam |
Alexander Friedrich |
Chris Biemann |
ActiveAnno: General-Purpose Document-Level Annotation Tool with Active Learning Integration
NAACL
Max Wiechmann |
Seid Muhie Yimam |
Chris Biemann |
An Investigation towards Differentially Private Sequence Tagging in a Federated Framework
NAACL
PrivateNLP
Abhik Jana |
Chris Biemann |
Word Complexity is in the Eye of the Beholder
NAACL
Sian Gooding |
Ekaterina Kochmar |
Seid Muhie Yimam |
Chris Biemann |
Towards Layered Events and Schema Representations in Long Documents
NAACL
Hans Ole Hatzel |
Chris Biemann |
How Hateful are Movies? A Study and Prediction on Movie Subtitles
KONVENS
WS
Niklas von Boguszewski |
Sana Moin |
Anirban Bhowmick |
Seid Muhie Yimam |
Chris Biemann |
Neural End-to-end Coreference Resolution for German in Different Domains
KONVENS
WS
Fynn Schröder |
Hans Ole Hatzel |
Chris Biemann |
Probing Pre-trained Language Models for Semantic Attributes and their Values
EMNLP
Findings
Meriem Beloucif |
Chris Biemann |
Towards Multi-Modal Text-Image Retrieval to improve Human Reading
NAACL
Florian Schneider |
Özge Alaçam |
Xintong Wang |
Chris Biemann |
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
Markus J. Hofmann |
Lara Müller |
Andre Rölke |
Ralph Radach |
Chris Biemann |
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
Varvara Logacheva |
Denis Teslenko |
Artem Shelmanov |
Steffen Remus |
Dmitry Ustalov |
Andrey Kutuzov |
Ekaterina Artemova |
Chris Biemann |
Simone Paolo Ponzetto |
Alexander Panchenko |
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 |
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
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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